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DEVELOPMENT OF AUTOMATED LEARNING MANAGEMENT SYSTEM Version 1.0
A Research Project Presented to the STI College Pasay
BY: Beltran, Kenneth john Bergado, Mariane Kaye Deocampo Neil Gravamen Lara, Aljay Lansaderaz, Jayson Navarro, John Paolo Vargas, Clester
In Partial Fulfillment of the Requirements for Information Technology
March 2019
Approval Sheet The research project entitled “DEVELOPMENT
OF AUTOMATED
LEARNING MANAGEMENT SYSTEM Version 1.0 ’’
Prepared and
submitted by Kenneth john Beltran, Mariane Kaye Bergado, Neil Gravamen Deocampo, Aljay Lara, Jayson Lansaderaz, John Paolo Navarro, Clester Vargas, In partial fulfillment of the Requirements for the degree of
Information Technology
is here by
approved and accepted.
Prof. Diana Lachica Adviser
Ms. Ruth Ramos
Ms. Denice Gonzales
Member
Member
Ms. Abegail Almera Chairman
Approved In partial fulfillment of the Requirements for the degree of
Information Technology. ~ ii~
Dedication This study is wholeheartedly dedicated to our beloved parents, who have been our source of inspiration and gave us strength when we thought of giving up, who continually provide their moral, spiritual, emotional, and financial support. To our brothers, sisters, relatives, mentor, friends, and classmates who shared their words of advice and encouragement to finish this study. And lastly, we dedicated this System to the Almighty God, thank you for the guidance, strength, power of mind, protection and skills and for giving us a healthy life. All of these, we offer to you.
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Acknowledgement First of all, I would like to say “Thank God”, for giving me the health and strength in doing this project work until it done. Not forgotten to our family for providing everything, such as money, to buy anything that are related to this project work and their advice, which is the most needed for this project Internet, books, computers and all that as my source to complete this project. They also supported me and encouraged me to complete this task so that I will not be procrastinate in doing it. Then I would like to thanks to our guiding my team throughout this project. We had some difficulties in doing this task but they taught us patiently until we knew what to do. Last but not the least, to my friends who were doing this project with me and sharing our ideas. They were helpful that when we combined and discussed together, we had this task done.
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Abstract Coinciding with the development and growth of the Internet, there has been a dramatic increase in the application of the Learning Management Systems (LMS) in higher education. University and college campuses should consider evaluating each LMS to ensure that the system meets the requirements and demands of the institution. Therefore, the purpose of this study is to present a model which incorporates the concepts and findings from research on LMS application in higher education. The alternative model was modified based on the Technology Acceptance Model (TAM). In addition, five categories of LMS features for higher education are discussed including: (1) transmitting course content; (2) evaluating students; (3) evaluating courses and instructors; (4) creating class discussions; and (5)creating computer-based instruction. This study reviews and discusses prior research and provides several recommendations including a model of development and design of an LMS for future implementation in higher educational environments.
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TABLE OF CONTENTS PRELIMINARIES
PAGE
Title page
I
Approval Sheet
II
Dedication
III
Acknowledgement
IV
Abstract
V
Table of Contents
VI
List of Tables
VII
List of Figures
VIII
CHAPTER 1 - INTRODUCTION Background of the Study..………………………………………………………...1 Objectives of the Study…………………………..………………………….….…5 Significance of the study…………………………………………………………..6 Scope and Limitations……………..………………………………….…………...8 CHAPTER 2 - CONCEPTUAL FRAMEWORK Review of Related Literature and Studies………………………………………..9 Conceptual Model of the study……………………………………………………21 Definition of Terms………………………………………………………………….22
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CHAPTER 3 – RESEARCH METHODOLOGY Project Design ……………………………………………………………………..24 Project Development………………………………………………………….......31 Waterfall Model…………………………………………………………………….31 CHAPTER 4 – RESULT AND DISCUSSION Project Description and structure………………………………………………..34 Project Capabilities and limitations…………………………………………..….35 Project Evaluations………………………………………………………..……...37 CHAPTER 5 – SUMMARY OF FINDINGS, CONCLUSSIONS AND RECOMMENDATIONS Summary of Findings………………………………………….…..………….…..49 Conclusion……………………………………………………..……………….….50 Recommendation …………………………………………..…………………….51 REFERENCES A. Evaluation Instrument for Software Product B. Letter of Permission the Institution C. Software Demo Photos E. Source Code
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List of Table Figure
Title
Pages
1
Presentation of Data: Students Survey
36
2
Presentation of Data Other Professional Survey
37
3
Presentation of Data Other IT Specialist survey
38
4
Percentage Distribution from Students Survey
39
5
Percentage Distribution: Other Professionals
41
6
Percentage Distribution: IT Specialist Survey
43
7
Over- all Percentage Distribution
45
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List of Figures Figure
Title
Pages
1
Conceptual Model
19
2
Login Main Screen
23
3
Change Password
24
4
Update Information
24
5
Learning Management System Student List
25
6
Learning Management System Student Lesson
25
7
Learning Management System Exercises
26
8
Learning Management System Main Home
26
9
Level 1 Data Flow Diagram of E learning System
28
10
Learning Management System Manage user
28
11
Learning Management System View Lesson
29
12
Learning Management System Student Side
29
13
DLMS Flowchart
30
14
Waterfall Model
33
15
DLMS Main User Interfaces
34
16
Graphical Presentation of Percentage Distribution: Student Survey
17
Graphical Presentation of Percentage Distribution: Other Professional Survey
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33
18
Graphical Representation of Percentage Distribution: IT Specialist Survey
19
Over-all Graphical Representation
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45 47
Chapter 1 Introduction Learning management systems allow instructors to create an online class, add assignments and assessments and communicate with students. The LMS allows students to access the course and course resources online, complete assignments, and communicate with the instructor. Learning management systems can be used to facilitate online courses, or to foster a blended learning experience. Background of the Study The function exercised by Information Technology (IT) in organizations has changed significantly over time (Laurindo, 2009; Rosini, 2013). Here it corroborates with Laurindo (2009) by understanding the concept of IT broadly, encompassing Information Systems (IS), telecommunications and automation, as well as a whole spectrum of hardware and software technologies used by organizations to provide data, information and knowledge. This comprehensive view of IT is present in the idea of "digital convergence", an expression that has been used in the technology industry. IT can be an important component of innovation, not only by its direct application, but also because it is a vector for other innovations that facilitates, enhances, and, among others, highlights e-learning (Laurindo, 2009). In the scenario of globalization, in which virtual organizations and e-businesses develop, there are great expectations regarding the potential of Information Technology, which increases the importance of its role analysis. However, when using IT in the educational process, it is essential to identify the
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conceptions that underlie its development, having an adequate view of its possibilities and potentials, because depending of its use, it will be explicit the understanding that we have of the educational process in a space that includes the technology itself (Schlemmer, Saccol & Garrido, 2007). The development of IT has generated interactive media allowing learning and collective construction of knowledge through networks, with interchangeability of the roles of source and receiver. But only in the 1990s the inclusion of IT in e-learning projects happened (Souza, 2005). In this context, the interest in thinking the interactivity offered by IT grows and its impact on education and organizational culture (Sartori & Garcia, 2009). According to Oliveira (2012), the potential that IT offers may make e-learning closer to the classroom mode in relation to personal interaction and preserve the distance between teachers and students, in order to improve the process of mediated communication, systematic guidance and constant monitoring, focused on the formation of skills and attitudes that allow the student to have learning process autonomy in a continuous self-education. In this context, IT provides progressively greater flexibility and accessibility to education, culture and professional and personal development, contributing to the creation of educational systems. The pedagogical potential of IT in the pedagogical mediation of e-learning has as main pillar the building of the distance knowledge, thus modifying the paradigm that brings "knowledge as a state and not as a process" (Oliveira, 2012; Rosini, 2013).
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Oliveira (2012) also emphasizes that the introduction of IT in education may not be a pedagogical innovation, once the use of old educational practices is no guarantee of a new education. Thus, the criterion to analyze a project of e-learning seems to be not only in the technological mediation, but in the didactic-pedagogical conception that is related to both technological support and its use in the pedagogical mediation. E-learning requires a pedagogical project different from the face-to-face education project and at the same time equal or even more rigorous than a face-to-face course. Learning Management Systems According to Araújo Júnior and Marquesi (2009) a Learning Management System, widely spread as LMS and, hence the use of this acronym in this study may be defined, in the user perspective, as a virtual environment that aims to simulate face-to-face learning environments with the use of Information Technology. In an LMS, the interaction happens through devices that enable communication either synchronously or asynchronously, allowing the creation of different strategies to encourage a dialogue and active participation of students. According to Lonn and Teasley (2009) Learning Management Systems are web-based systems that enable teachers and students to share materials, to submit and return assignments and to communicate online. Meanwhile Almrashdeh et al. (2011) point out that an LMS is software used to plan, implement and evaluate a specific learning process. In LMS, mediation involves both the acquisition of competences and communication skills of all teachers and students, and a greater concern to create interaction moments and practical application possibilities of collaborative work, with that learning process happening in a participatory manner. For that, the teacher relies on communication devices, such as chat rooms, forums, blogs, video blogs (Souza, 2005;
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Sartori & Garcia, 2009; Rosini, 2013). To these authors, it is necessary to consider that an LMS must seek to get the best advances in technology available today, for reasons of efficiency and for enabling the maximum degree of interactivity and communication among users. Learning and collaborative work have become fundamental and technological advances should lead to the achievement of high interaction levels. The first LMS appeared in the nineties, along with the first web browsers. According to Silva (2013), Learning Management Systems are often criticized, due to the belief that these technologies simply virtualize non-virtual classrooms. However, according to the author, they are not the main problem, but the way they are designed, structured and crafted. Furthermore, the use of an LMS requires careful studies particularly in relation to educational and financial aspects.
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Objectives of the Study For the purposes of this dissertation study basic interaction, collaboration, and knowledge construction are defined in terms of the social processes that students use to communicate and work together in service of their group projects. The online messages posted on the LMS as well as students' perceptions and opinions of their use of the LMS are used as evidence of these processes. As the definitions below will clarify, collaboration and knowledge construction are specific forms of social discourse of the more general construct of peer interaction. General objectives To Develop an Automated Learning Management System Version. 1.0 Specific Objectives To design a LMS that will features specific Language Php Mysql, Bootstrap, Html McCall software quality model. This created a revolution in the software industry with its quality to provide the required ability to the software. IOS 9126 software is an international standard software quality model that helps in creating a solid framework for assessing software. This standard way of assessing software can be segregated in four different ways.
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Significance of the study For the administrators, the research can add to the data analysis. The analysis may add to support the data in the need of upgrade of the system in terms of mobility, accessibility, and additional online engagements features. The teachers engaged more in the integration of MOODLE learning platform. This can motivate teachers having their level of utilization up notch a bit, and improvement of the instructional design of their online courses. Others researchers may support the claim of the effective integration. Besides from integration, this may contribute to the improvement of implementation by involving trainings on not just how to use it, but how to design it and teach effectively.Technology plays a big role in the enhancement of learning and teaching.Technology is a tool in the learning process of the students. It is not to replace teachers and schools. There are a lot of learning management systems, but the most important note is not just integrating technology but the pedagogy and curriculum structure with engaging activities to maximize time and resources of student learning online. Studies show that using MOODLE, teachers can incorporate images, audio files, videos, feedback to students, and test student achievement in their online courses. It helps teachers to organize their online courses better, backup their online course, prepare their course material for future use, while students enhance their learning experiences through interactions of activities with the use of the online tools.
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Using MOODLE contributes to more student autonomy and accommodate different student learning levels as individual learners can spend as much time as they need to do assignments, read or listen to instructions, and take quizzes or tests. This is a quantitative research design that describes the relationship between the level of utilization of a learning management system using MOODLE and the learner’s achievement outcome.It will use regression analysis to predict the influence of the level of utilization of a virtual learning environment on learners’ academic outcomes. Linear regression fits a straight line that goes through a set of points. The slope of the fitted line is equal to the correlation between the x and y coordinate by the ratio of the standard deviations of the variables The instrument is a researcher-constructed instrument.The instrument that will be developed is adopted from “MOODLE Tool Guide” by Seitzinger, Center for Learning Technology. It will be a 30-item instrument using Likert scale (very important to unimportant; strongly agree to strongly disagree; and very frequent to never). The instrument will examine the following components of utilization: goals, methodology in utilization, and features being utilized Once the data has been organized, descriptive statistics and frequency histograms will be drawn from the data.
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Scope and Limitations The Scope and Limitation of the study defines what our study is all about. It will give you the idea what the subject are and what it can do, This study is created a Enrollment System. Scope The scope of the study involves the admin Side, Lesson, List of Lessons, Upload Lesson, Edit Lesson, Change the File, View Lesson, Delete Lesson and Exercises, List of Question, Add Question, Edit Question, Delete Question. To Student List of Students and Manage Users, List of Users, Add User, Edit User, Delete User and to Student side is Create Account, Login and Logout, View Lesson, Take Quizzes, Generate Score, Download Lessons Limitations The limitation is No Access code, Offline, Calendar, Session, Print of scores
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Chapter 2 CONCEPTUAL FRAMEWORK Firstly, this chapter shall focus on discussing what is meant by e-learning, and how the definition of learning has been developed up until the present day. Secondly, it shall discuss opportunities and limitations related to e-learning; e-learning in Higher Education and how we can benefit from it. This chapter also relates two of the most common models that might be applied to the adoption of technological innovation and investigates the stages through which technological innovation can happen.
Review of Related Literature and Studies E-Learning is the use of Information and Communication Technology (ICT) to deliver information for education where instructors and learners are separated by distance, time, or both in order to enhance the learner’s learning experience and performance (Keller et al., 2007; Tarhini et al., 2016). Horton (2011) defines e-learning as a set of instructions delivered via all electronic media such as the internet, intranets, and extranets. Thus, by eliminating the barriers of time and distance, individuals can now take charge of their own lifelong learning (Almajali et al., 2016; Bouhnik and Marcus, 2006; Fletcher 2005; Obeidat et al., 2015). E-learning environments reduce the cost of provision and therefore increase revenues for academic institutions (Masa’deh et al., 2016; Ho and Dzeng, 2010). The universities must decide during or before the implementation phase on the best approach to deliver education, such as online learning, face to face, or apply blended approach. For the purpose of this study, e-learning with a particular focus on
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higher education institutions applies to the use of web-based learning systems to support face-to-face education. According to Wagner et al. (2008), this approach is the most successful learning approach compared to solely online and only face to face contact. Learning Management Systems (LMSs) refer to the web-based delivery applications or technologies that are adopted by universities and other higher education institutions to deliver courses’ contents, provide distance learning and to manage the education process (Freire et al., 2012). LMS creates a variety of ways to deliver instruction and provide electronic resources for student learning. Some methods, such as using Web pages to deliver text in much the same way as hard bound texts, are very familiar to academic staff. However, a big advantage is that the Internet also supports the delivery and use of multimedia elements, such as sound, video, and interactive hypermedia (Masa’deh et al., 2016; Tarhini et al., 2016). Different Web-based learning systems have been developed for higher education to facilitate learning in a web-based learning setting; these include Moodle, Web Course Tools (WebCT), LAMS and SAKAI, Blackboard Learn (BBL). The later will be discussed in detail in the next subsection. Despite the enormous growth of e-learning in education and its perceived benefits, the efficiency of such tools will not be fully utilized if the users inclined to not accept and use the system. Therefore, the successful implementation of e-learning tools depends on whether or not the students are willing to adopt and accept the technology. Thus, it has become imperative for practitioners and policy makers to understand the factors affecting the user acceptance of web-based learning systems in order to enhance the students’ learning experience (Tarhini et al., 2014a). However, recent studies have shown that e-
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learning implementation is not simply a technological solution, but also a process of many different factors such as social factors (Schepers and Wetzels, 2007; Tarhini et al., 2014b; 2015), and individual factors (Liaw and Huang, 2011), organizational such as facilitating conditions (Sun and Zhang, 2006) in addition to behavioural and cultural factors (Masoumi, 2010).Such major factors play an important role in how an information technology is developed and used (Kim and Moore, 2005). Fischer et al. (2015) studied how proceedings of scientific conferences can be used for trend studies in the field of elearning. They examined the abstracts of 427 scientific articles of leading Germanspeaking e-learning conferences GesellschaftfürMedien in der Wissenschaft and ELearning-Fachtagungen der GesellschaftfürInformatik e. V. (GMW and DeLFI) – published from 2007 to 2013. The study was conducted at German-speaking conferences and, thus, reflects the situation in Germany, Switzerland and Austria. Fischer et al. (2015) made an important contribution to the diffusion of digital media in higher education. The researchers found that the detailed analysis of the frequency distribution over the seven years reflects the intensity of scientific discussion towards e-learning trends, and conclusions about the didactical or technical potentials of innovations can be introduced. Specifically, they found the development potential of learning management, mobile learning, virtual worlds, e-portfolio, social media and Massive Open Online Courses are crucial for e-learning in German higher education. Moravec et al. (2015) showed how elearning tools impact students’ achievement. The study was attended by nearly 2000 students. According to Moravec et al. (2015), the study compares the results of questions from the area of law where the tool was provided in a pilot version with the results of questions, where the e-learning tool was not provided. The researchers found that the e-
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learning tools have affected the students’ results. Nevertheless, the belief of the elearning tool may possibly have a negative effect on students who will depend on given materials was disproved. By using the Cohen’s model and based on data collected from 15 documents from relevant research studies conducted on the effect of ICT based elearning on academic achievement during2010-2012, Mothibi (2015) examined the relationship between e-learning and students’ academic achievement in higher education. The researcher found that ICT had a statistically significant positive influence on e-learning based students’ academic achievements. The results also indicated that ICT had a significant positive influence on students’ educational overall academic achievements. Scholtzand Kapeso (2014) and Almajali et al (2016), Shannak (2013) explored the factors of mobile learning (m-learning) approaches which can be used for enterprise resource planning (ERP) system. The technology acceptance model(TAM) was applied to assess the acceptance, usefulness and perceived ease of use of the mlearning. The researchers found that the m-learning system was correlated positively for perceived ease of use and perceived usefulness as such findings confirmed other studies which stressed the importance of the quality of course content in e-learning and mlearning projects. Pieri and Diamantini (2014) conducted their research based on the experience of e-learning web 2.0 at the University of Milano-Bicocca in the academic year of 2011-2012. The objective of the research was to make the implicit and tacit knowledge that the users have, explicit, and therefore more accessible. Since the ICTs have become an essential part of the learning experience for people all ages, so it’s become a concept that needs to be explored, the researchers started elaborating the transition from Web 2.0 to e-learning and the aggregation of the power of Web 2.0 with social networks in the
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learning process. They used Think tag Smart, a new Web 2.0 platform; that mixes the learning opportunities offered by the web 2.0 with the learning opportunities of social networks for sharing knowledge, to train 137 students in two subjects (Tourism, and Sociology of innovation), after this experience they gave them a questionnaire to evaluate the learning experience, and the platform. Think tag Smart had some features that were most used in the platform: (resources, shelves, and groups); where the least used were: (Wiki, collections and chat), the strengths of the platform which made it generally appreciated, were; the resources or the ability to exchange and share information with users of Think tag Smart; support teaching as the portal was open to share notes and materials connected to courses they need; and the interactivity feature of the platform provided for the users. As for the weaknesses, which didn’t allow for the complete satisfaction, they were; the slowness in loading the pages, the unclearness/complexity, the lack of immediacy, and intuitiveness. In sum the platform was a tool of great potential, but to be competitive; realities need further improvements. Salter et al. (2014) aimed to demonstrate the features and benefits of the practice of e-education in general and in particular in the pharmacy, where e-education helps to clarify the vehicles pharmaceutical and elements of vehicles in that it would facilitate the process of analysis and helps to count the number of elements, a more precise and faster, where there are a number of theories that help to clarify more broadly. It is those theories to determine the effectiveness of the system and how to explain overlaps that occur within complex eeducation system and therefore the system’s capacity for analysis and helps greatly stunning offers time and effort and cost. The researchers found that e-learning to be effective at increasing knowledge immediately after training
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For all topics and in all contexts. E-learning in pharmacy education was a highly suitable instructional format for pharmacists and pharmacy students. It is the benefits that help their e-education system in the field of universities, where all the students are taking the attendance and leave them through computer system due to the student e-education, e-has to know the number of absence, as well as upon request duties is due to send and receive the solution through e-education persist this system its ability to sweep all organizations work accuracy and speed. Te o (2014) aimed to clarify the extent of teacher satisfaction of the application of e-learning program among persevere teachers. Te o (2014) investigated the key drivers of teachers’ e-learning satisfaction. 387 participants in a postgraduate diplomain education completed a survey questionnaire to measure 6 constructs (tutor quality, perceived sefulness, perceived ease of use, course delivery, facilitating conditions, and course satisfaction). By using structural equation modeling, data analysis showed that, apart from facilitating conditions, all other constructs were significant predictors of e-learning satisfaction. Nevertheless, the facilitating conditions construct was found to be a significant mediator of perceived ease of use and satisfaction. The trend of using e-leaning as learning and teaching tools is now rapidly expanding into education. Suri and Sharma (2014) examined the relationship between disciplines of students and their responses and attitudes towards e-learning The researchers used computer and e-learning attitude scale by employing survey questionnaires to 477 students enrolled in various courses across 6 major disciplines in Panjab University Chandigarh, India. The researchers found a significant relationship between discipline of student and the factors of scale on computer and e-learning attitude which set emphasison the role of department in learning and satisfaction level of students. Arasteh
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et al. (2014) proposed a dynamic resource management model to develop the availability and dependability of the e-learning services in the grid system .A dynamic replication technique was employed to tolerate resource failure/unavailability during the execution of an e-learning service in the economic grid system .The researchers found that the availability of the e-learning services in the proposed model was higher than those of the basic resource management services. This model maintains a trade-off between cost and the degree of quality of e-learning services. Ceobanu and Boncu (2014) investigated in a theoretical manner the challenges associated with the use of mobile technology in adult education. They argued that mobile learning (m Learning) can be placed at the connection of eLearning and mobile computing, which is differentiated by the capability to access learning resources anywhere, anytime, through high capabilities of search, high interaction, high support for effective learning and ongoing assessment based on performance. Also, m Learning considered to be as an extension of eLearning, but characterized by its independence from a location in space and time. Furthermore, mLearning comprises the use of mobile technology in the service of the processes related to teaching and learning. The mLearning can be considered as the point where mobile computing and eLearning meet to create a learning experience that can be commenced anytime and anywhere. Beurs et al. (2015) argued that randomized researches investigating the impact of training of mental health professionals in suicide prevention guidelines are limited. The researchers evaluated whether professional benefited from an e-learning supported train-the-trainer program aimed at the application of the Dutch multidisciplinary suicide prevention guideline. 45 psychiatric departments from all over the Netherlands were clustered in pairs and selected randomized. All of the staff of
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psychiatric departments was trained by peers with an e-learning supported train-thetrainer program. Multi level analyses were employed to find if variation between conditions was due to differences between individual professionals or departments. The study found that the intervention resulted in an improvement of individual professionals. At the three month follow up, professionals who received the intervention demonstrated greater guideline adherence, enhanced selfperceived knowledge and superior confidence as providers of care than professionals who were only exposed to traditional guideline dissemination. Also, the analyses showed that enhanced guideline adherence was found among nurses but not among psychiatrists and psychologists, and there was no significant effect of the intervention on team performance. According to Judrups (2015), the development of knowledge management and e-learning unsurprisingly are developed for years as both disciplines deal with knowledge capture, sharing, application and generation; have vital technological components to enhance learning; and contribute to building a continuous learning culture. Judrups (2015) found that knowledge management and e-learning naturally brings both disciplines closer and supports integration. Model analysis confirmed several integration approaches. The more general approach is to base integration on common ground, which is identified as learning. Nevertheless, these approaches are not implemented in production environment and require necessary technical specification and application support. Jakobsone and Cakula (2015) aimed to get a new perspective on knowledge sharing process, and better understand the future of automated learning support system involving the use of new technological opportunities. The major study question was how the automated learning support system could develop the efficiency and quality of further knowledge flow and offer sustainable
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cooperation between educational institutions and entrepreneurs. The researchers found that the analysis of the information system as an online learning support platform, improved quality of knowledge flow, and recommendations for advancing work-based learning besides the encouragement of efficient knowledge management technologies. Furthermore, innovations in the learning process needs to be real and simple to help adults find how to solve their problems; preparation of training is needed following a specific employer demand and knowledge sharing has to be equally vigorous on both interested sides; and needs have to be obtained; and accurate content and quality must be presented according to merchant’s prospects.
Computer- Based LMS System A´ learning management system´ (LMS) is a software application´ for the administration, documentation, tracking, reporting and delivery of´ educational´ courses, training programs, or learning and development programs. The learning management system concept emerged´ directly from´ e-Learning. Although the first LMS appeared in the higher education sector, the majority of the LMSs today focus on the corporate market. Learning Management Systems make up the largest segment of the learning system market. The first introduction of the LMS was in the late 1990s.
Learning management systems were designed to identify training and learning gaps, utilizing analytical data and reporting. LMSs are focused on online learning delivery but support a range of uses, acting as a platform for online content, including courses, both asynchronous based and synchronous based. An LMS may offer classroom management
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for instructor-led training or a flipped classroom, used in higher education, but not in the corporate space
Technical Aspect Most modern LMSs are web-based. There are a variety of integration strategies for embedding content into LMSs, including AICC, xAPI (also called ’Tin Can’), SCORM (Sharable
Content
Object
Reference
Model)[16]´ and
LTI
(Learning
Tools
Interoperability). LMSs were originally designed to be locally hosted on-premise, where the organization purchases a license to a version of the software, and installs it on their own servers and network. Many LMSs are now offered as´ SaaS (software as a service), with hosting provided by the vendors.
Features: Managing courses, users and roles The LMS may be used to create professional structured course content. The teacher can add, text, images, tables, links and text formatting, interactive tests, slideshows etc. Moreover, you can create different types of users, such as teachers, students, parents, visitors and editors (hierarchies). It helps control which content a student can access, track studying progress and engage student with contact tools. Teachers can manage courses and modules, enroll students or set up self-enrollment, see
IOS 9126 The emergence of the information and communication technology (ICT) in academia environment has contributed to the development of the e-learning systems. They have received a considerable attention in education and provided significant
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advantages such as convenience, flexibility and global learning community. While elearning systems are growing significantly, there is a pressure on educational institutions and organizations to ensure the quality of e-learning systems. ISO 9126 is the most recognized and applied quality standard to specify and evaluate attributes of the software product. In this paper, ISO 9126 is extended with the specific characteristics of the elearning software product. This extension is done by defining the quality characteristics of the e-learning system and integrating them in the ISO 9126 model. Results of this study will serve as a basis for the evaluation of an existing system. Index Terms—E-learning, ISO 9126, software quality mode
McCall’s Software Criteria The overall goal of any software management is´ "Quality built-in with cost and performance as prime consideration". This means that the software should be built with certain quality aspects that fulfill the needs of the user. Its performance is kept on the top priority. The performance is also based on the demands of the user and the developer’s perspective. The good performing software is highly in demand these days due to rising competition in the market. Given the intangible and abstract nature of software, researchers and practitioners are bound to find ways to characterize software in order to make benefits and costs visible. Jim McCall produced the McCall software quality model for the US Air Force in 1977. This is used to maintain harmony between the users and the developers. Successful software is developed that fulfills the user needs in consideration with the developer’s point of view. Different software quality models are developed and in that only two of the models are considered in the present time for a remarkable quality attributes of the software. McCall (1977) Boehm (1978)
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Three Main Perspectives of the Quality Attributes of the Software: Product revision It encompasses the revision perspective identifiers quality factors that changes or enhances the ability to change the software product in the future according to the needs and requirements of the user
Product transition Transition perspective enables the software to adapt itself in new environments. The identification of the quality factor which enables the ability of adaption of the software in the new environment is known as product transition. Let us take an example, our creator created the software named human. The creator incorporated ability to this software that enhances it to adapt in the new environment
Product operations The software can run successfully in the market if it according to the specifications of the user and also it should run smoothly without any defects. The product operation perspective influences the extent to which the software fulfills its specifications
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Conceptual Model of the Study Though gathered concepts, and discoveries or findings of related literature studies and a conceptual model of the study.
Figure 1: Conceptual Model Input Knowledge Requirement
Process System Design
1) ALMS 2) Create Class record 3) Download lesson 4) Technical Aspect 5) IOS 9126 6) McCall’s
Output AUTOMATED LEARNING MANAGEMENT SYSTEM VERSION 1.0
Software Requirements 1. Mysql xampp 2. Win 7 or win 10 OS 3. Sublime_text 3
Evaluation
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Definition of Terms Roles and responsibilities for recycling and waste management very across aviation sectors and by organization and facility. Bellow are definitions of common terms used in this guidebook. LMS - A learning management system is a software application for the administration, documentation, tracking, reporting and delivery of educational courses, training programs, or learning and development programs. My SQL - is a popular choice of database for use in web applications and is a central components of the widely used open source web application software stack Source Code - is a human readable program statement written in a high level or assembly language, opposed to object code, which is derived from the source code and designed to be machine readable System Testing –– is a level of software testing where a complete and integrated software is tested. The purposed of this test is to evaluate the system’s compliance with the specified requirements. Definition by ISTQB. Features - The LMS may be used to create professional structured course content. Aintainability- If there are defects in the software that are found in the later stage, this feature allows finding and fixing the defects. Flexibility- The ability to make changes in the software product according to the business demands. Testability- This enables the software product to validate the requirements
~22~
Portability- This is the ability to transfer a software from one environment to another environment. Re-usability- The software components can be used in different contexts Interoperability- The ease or the comfort zone in which all the components of the software works together. Correctness- The functionality should match the specification Reliability- The extent to which the system fails. Efficiency- It enhances the usage of system resource Usability- The software should be easy to use. Difficult software is tedious to work upon and difficulty irks the user.
~23~
Chapter 3 METHODOLOGY The idea of this methodology is developing an Learning system that favours the competitive position of the organization that uses it and be adaptable to suit the student/employees needs. It refers to the mode and manner in which they produce the content that will be used in training and how to determine the technological platforms to use the organization.
Project Design
Figure 2: Login Main Screen This is the first interface the user will see; it is where the user log in to the system, see Figure 1. The login interface comprises of “User Name” TextInputfor the user’s user name, “Password” TextInput for the users password, “Login Button” to login after typing the user name, server and password.
~24~
Figure 3: Change Password
Figure 4:Update Information
~25~
Figure 5: Learning Management System Student List
Figure 6: Learning Management System Student Lesson
~26~
Figure 7: Learning Management System Exercises
Figure 8: Learning Management System Main Home
~27~
Figure 9: Level 1 Data Flow Diagram of E learning System
Figure 10: Learning Management System Manage user
~28~
Figure 11: Learning Management System View Lesson
Figure 12: Learning Management System Student Side
~29~
Figure 13: DLMS FLOWCHART
~30~
Project Development This methodology was designed and developed to implement Learning projects; it is based on the investigation-action strategy that divides the development process into phases, this methodology takes into account the viability study
Waterfall Model To build good-quality software you need to fully understand the essentials of software development life cycle (SDLC).
Requirements and Analysis At this phase, it is important to document all requirements to the desired software. You should dedicate sufficient time to this phase, conducting extensive interviews with stakeholders. It is better to structure all incoming data, analyze them, consider all technical limitations that may arise on the client’s side, and come out with a ready-to follow specification to meet the client’s needs. Another thing to consider is any constraints that may hinder the development process, such as client’s time and budget constraints.
Design The next step in the life-cycle involves the creation of a project scope document with hand-drawn sketches, and a detailed software development specification. It should be mentioned that in some cases vision and scope documents can be presented as one Vision and Scope document.
~31~
Development It should be noted that software development companies can also include the creation of an interactive prototype that is actually the skeleton of the future application. Such prototype helps define the overall system architecture. This step involves little coding, like coding buttons and simple forms, just to give the client an idea of how the final product will operate. That’s why we included the creation of a prototype into the software development phase.
Testing Once the product is developed, it should undergo a meticulous quality assurance and software testing to make sure that it solves the needs set forth during the requirements study phase. The client should be involved in the acceptance testing and try using it exactly the way it will be used when implemented. Once the major code problems are fixed, the software can be deployed. For minor fixes, a simple bug tracking system can be used, so that the problems could be tackled during the maintenance lifecycle phase.
Maintenance As soon as the System is tested and deployed at the client’s server, it enters the maintenance phase of the software development lifecycle. Generally, it includes some minor bug fixes that are usually made during this phase. However, you still may have to make some changes in the produced software, disregarding your efforts on the earlier phases. The client may come up with functionality enhancements to the developed software and you will have to collect, describe and
~32~
discuss the new requirements with the client to have these modifications made. In this case, you come up with a new waterfall project and have to repeat all the above-described steps.
Figure 14: Waterfall Model
~33~
CHAPTER 4
RESULT AND DISCUSSION You should write your results section in the past tense: you are describing what you have done in the past. If you are unsure whether to include certain results, go back to your research questions and decide whether the results are relevant to them. It does not matter whether they are supportive or not, it as about relevance. If they are relevant, you should include them. The discussion section therefore needs to review your findings in the context of the literature and the existing knowledge about the subject. You also need to demonstrate that you understand the limitations of your research and the implications of your findings for policy and practice. This section should be written in the present tense. Project Description and structure
Username
Password
Login
Figure 15: DLMS Main User Interfaces
~34~
Project and capabilities and limitations The system has the following features: The main objective of Learning Management System is to enhance the learning process. 1. Managing users, courses, roles, and generating reports. This helps uploading courses, assigning roles, and generating various reports. 2. Making a course calendar. This features helps in managing the course activities. 3. Certification and display employees’ score and transcripts. 4. Centralized learning It becomes easy to offer centralized source of learning to multiple users the training, performance, and control can be accessed from the same source 5. Tracking and reporting features. Another benefits of using an LMS is that you can enhance performance through tracking and reporting tools. 6. Evaluation capabilities. Users can evaluate courses before joining, and employers can keep a track of the retention levels and real time performance by periodically scheduling assignments. 7. Easy upgrades. Content and information can be easily upgraded, as Learning Management System offer a centralized location for 8. Simplified learning process An LMS refines the learning process. 9. Reduced cost and time saved. The right LMS can reduce the training cost in multiple ways as the trainer doesn’t need to travel 10. Technology leverage In this digital world the working system has totally changed.
~35~
The system has the following limitation 1. Computer literacy and access to equipment. Any Learning Management System requires basic equipment and a minimum level of computer knowledge to operate with the system. 2. Some topics are not appropriate for Learning Management System. Certain subjects like sports cannot be explained through (ELMS) 3. Students themselves can be a limitation to (ELMS). The E- learning has flexibility and student centered nature, so the students must be well organized, self-motivated, and have good time management skills. 4. Bandwidth limitations. Lower bandwidth means slower performance for sound, video and intensive graphics, causing long wait for download. 5. Success of Elms program defends upon the amount of effort put in by the student. 6. Loss of human contact. The ELMS system will replace a friendly face. 7. Management System are too static. The level of interaction is too limited 8. Development time and cost. ELMS take more time and more money to develop than expected. 9. Analytics what data do you want the learning Management System (LMS) to give you on your courses and learners? Just simple number of logins, completion reports and assessment grades, or more advanced analytics?
10.Scalability Imagine a point when substantial numbers of people are talking your course. Will the LMS scale up to this larger operation, or are there limitations as to how many users can be enrolled or logged on at once?
~36~
Project Evaluation Test Results After conducting a series of test, proponent gathered the following data: Table 1.0 Presentation of Data: Students Survey
Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total Weighted Mean
Interpretation
A. Functionality 1, Suitability
33
67
0
0
100
3.33
Excellent
2, Security
0
67
33
0
100
2.67
Very Good
3, Accuracy
67
33
0
00
100
3.67
Excellent
3.23
Excellent
Over all Weighted Mean B. 1,Recoverability
0
67
33
0
100
2.67
Very Good
2,Fault Tolerance
33
67
0
0
100
3.33
Excellent
3
Excellent
Over all Weighted Mean C. 1,Understandability
67
33
0
0
100
3.67
Excellent
2,Learnability
0
33
67
0
100
2.33
Very Good
3,Operability
34
33
33
0
100
3.01
Excellent
4,Attractiveness
34
33
33
0
100
3.01
Excellent
3.01
Excellent
Over all Weighted Mean D. 1,Adoptability
67
33
0
0
100
3.67
Excellent
2,Conformance
0
67
67
0
100
2.33
Very Good
3
Excellent
Over all Weighted Mean
~37~
Table 1.1 Presentation of Data Other Professional Survey
Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total
A. Functionality 1, Suitability
2
0
0
0
0
0
2
2, Security
0
2
0
0
0
0
2
3, Accuracy
0
2
0
0
0
0
2
Over all Weighted Mean B. 1,Recoverability
1
1
0
0
0
0
2
2,Fault Tolerance
1
1
0
0
0
0
2
Over all Weighted Mean C. 1,Understandability
1
1
0
0
0
0
2
2,Learnability
1
1
0
0
0
0
2
3,Operability
1
1
0
0
0
0
2
4,Attractiveness
0
2
0
0
0
0
2
Over all Weighted Mean D. 1,Adoptability
2
0
0
0
0
0
2
2,Conformance
1
1
0
0
0
0
2
Over all Weighted Mean
~38~
Table 1.2 Presentation of Data Other IT Specialist survey
Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total
A. Functionality 1, Suitability
3
1
0
0
4
2, Security
0
1
2
1
4
3, Accuracy
0
3
1
0
4
Over all Weighted Mean4 B. 1,Recoverability
0
3
1
0
4
2,Fault Tolerance
0
3
1
0
4
Over all Weighted Mean C. 1,Understandabilit y 2,Learnability
3
1
0
0
4
3
1
0
0
4
3,Operability
3
1
0
0
4
4,Attractiveness
0
2
2
0
4
Over all Weighted Mean D. 1,Adoptability
2
2
0
0
4
2,Conformance
2
1
1
0
4
Over all Weighted Mean
~39~
Table 1.3 Percentage Distribution from Students Survey
Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total Weighted Mean
Interpretation
A. Functionality 1, Suitability
33
67
0
0
100
3.33
Excellent
2, Security
0
67
33
0
100
2.67
Very Good
3, Accuracy
67
33
0
0
100
3.67
Excellent
Over all Weighted Mean
3.23
Excellent
B. 1,Recoverability
0
33
33
0
100
2.67
Very Good
2,Fault Tolerance
33
0
0
0
100
3.33
Excellent
3
Excellent
Over all Weighted Mean C. 1,Understandability
67
33
0
0
100
3.67
Excellent
2,Learnability
0
33
67
0
100
2.33
Very Good
3,Operability
34
33
33
0
100
3.01
Excellent
4,Attractiveness
34
33
33
0
100
3.01
Excellent
Over all Weighted Mean
3.01
Excellent
D. 1,Adoptability
67
33
0
0
100
3.67
Excellent
2,Conformance
0
67
67
0
100
2.33
Very Good
Over all Weighted Mean
3
~40~
Excellent
Figure 15:Graphical Presentation of Percentage Distribution: Student Survey
~41~
Table 1.4 Percentage Distribution: Other Professionals
Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total Weighted Mean
Interpretation
A. Functionality 1, Suitability
100
0
0
0
100
4
Excellent
2, Security
0
100
0
0
100
3
Excellent
3, Accuracy
0
100
0
0
100
3
Excellent
3.33
Excellent
Over all Weighted Mean B. 1,Recoverability
50
50
0
0
100
3.5
Excellent
2,Fault Tolerance
50
50
0
0
100
3.5
Excellent
3.5
Excellent
Over all Weighted Mean C. 1,Understandability
50
50
0
0
100
3.5
Excellent
2,Learnability
50
50
0
0
100
3.5
Excellent
3,Operability
50
50
0
0
100
3.5
Excellent
4,Attractiveness
100
100
0
0
100
3
Excellent
Over all Weighted Mean
3.33
Excellent
D. 1,Adoptability
100
0
0
0
100
4
Excellent
2,Conformance
50
50
0
0
100
3.5
Excellent
Over all Weighted Mean
3.75
~42~
Excellent
Figure 16: Graphical Presentation of Percentage Distribution: Other Professional Survey
~43~
Table 1.5 Percentage Distribution: IT Specialist Survey
Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total Weighted Mean
Interpretation
A. Functionality 1, Suitability
75
25
0
0
100
3.75
Excellent
2, Security
0
25
50
25
100
2.5
Very Good
3, Accuracy
0
75
25
0
100
2.75
Very Good
Over all Weighted Mean
3
Excellent
B. 1,Recoverability
0
75
75
0
100
2.75
Very Good
2,Fault Tolerance
0
75
75
0
100
2.75
Very Good
2.75
Very Good
Over all Weighted Mean C. 1,Understandability
75
25
0
0
100
3.75
Excellent
2,Learnability
75
25
0
0
100
3.75
Excellent
3,Operability
75
25
0
0
100
3.75
Excellent
4,Attractiveness
0
50
50
0
100
2.5
Very Good
Over all Weighted Mean
3.44
Excellent
D. 1,Adoptability
50
50
0
0
100
3.5
Excellent
2,Conformance
0
35
25
0
100
2.8
Very Good
Over all Weighted Mean
3.15
~44~
Excellent
Figure 17: Graphical Representation of Percentage Distribution: IT Specialist Survey
~45~
Table 1.6 Over- all Percentage Distribution
Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total Weighted Mean
Interpretation
E. Functionality 1, Suitability
67
33
0
0
100
3.67
Excellent
2, Security
0
55
33
11
100
2.42
Very Good
3, Accuracy
0
75
25
0
100
2.75
Very Good
Over all Weighted Mean
Excellent 3 3
F. 1,Recoverability
11
67
22
0
100
2.89
Very Good
2,Fault Tolerance
22
67
11
0
100
3.11
Very Good
3
Very Good
Over all Weighted Mean G. 1,Understandability
67
33
0
0
100
3.67
Excellent
2,Learnability
45
33
22
0
100
3.23
Excellent
3,Operability
56
33
11
0
100
3.45
Excellent
4,Attractiveness
11
56
33
0
100
2.78
Very Good
Over all Weighted Mean
3.28
Excellent
H. 1,Adoptability
67
33
0
0
100
3.67
Excellent
2,Conformance
34
33
33
0
100
3.01
Very Good
Over all Weighted Mean
3.34
~46~
Excellent
Figure 18: Over-all Graphical Representation
~47~
CHAPTER 5 SUMMARY OF FINDINGS, CONCLUSIONS AND RECOMMENDATIONS Summarizes the conclusions and recommendations emanating from this study. It begins by looking at a summary of the initial aims and objectives, its rationale, and a synopsis of the literature findings. It then includes a brief discussion presented according to each of the main research questions followed by the outcomes of this study. The lessons learned, the strengths, the weaknesses and the special contributions of this study are covered in this section. It concludes with a list of recommendations. Summary of Findings The development of IT has generated interactive media allowing learning and collective construction of knowledge through networks, with interchangeability of the roles of source and receiver. A Learning Management System, widely spread as LMS and, hence the use of this acronym in this study may be defined, in the user perspective, as a virtual environment that aims to simulate face-to-face learning environments with the use of Information Technology. In an LMS, the interaction happens through devices that enable communication either synchronously or asynchronously, allowing the creation of different strategies to encourage a dialogue and active participation of students. This chapter also relates two of the most common models that might be applied to the adoption of technological innovation and investigates the stages through which technological innovation can happen.
~48~
Conclusion In many ways, the conclusions of this 14th edition of the annual study of students and information technology are the epitome of social scientific research. To summarize: 1) some do, some don't; 2) the differences aren't very great; and 3) it's more complicated than that.1 Regardless, the importance of conducting research on the ways in which college and university students are thinking about, using, and experiencing technology in the course of their academic endeavors clearly resides two standard deviations above the mean. The more evidence that can be collected in service of understanding students' technological preferences for and relations to technology, the better equipped faculty and IT organizations will be to meet students where they are. In students see technology as integral, if not essential, to their academic success. They own it. They use it. They want more of it. Certainly, the degree to which instructional and institutional supplies can and should converge with student demands for technology in pursuit of a fleeting equilibrium is subject to a host of constraints including, but not limited to, costs, pedagogical approaches, evidence of impact, and propensity for distraction. What we need to avoid, however, when thinking about how to introduce technology into the lives of students, are kneejerk reactions grounded in anecdote or single studies that confirm our preconceived biases. We hope that this report and its companion, LMS Study of Faculty and Information Technology, will serve as the starting point of those conversations.
~49~
Recommendation Evaluate the reach and utility of campus technology help desk services to students and make an effort to understand why such services might be underused. Depending on what one finds, a range of solutions might present themselves including, but not limited to, expanding hours, reducing ticket turnaround times, curating excellent DIY examples, and making help desk services more visible and available.2 Cultivate a culture of information security on campus that promotes long-term cybersecurity hygiene. Students are already pretty savvy about security but could get even better with more frequent and scalable training options, cybersecurity campaigns that raise awareness of issues, prioritization of student security issues beyond usage policies, and improved campus practices (e.g., two-factor authentication, revised password protocols). Create faculty development opportunities to help instructors understand how students are and are not using their personal computing devices and develop ways in which they can be leveraged in service to student learning outcomes. The importance of student devices to their academic success is considerable. Helping faculty learn how to augment assignments that harness students' individual computing power could significantly improve student learning and engagement with course materials. Developing faculty communities of practice around teaching with technology can provide both excellent examples and a network of support when experimenting.
~50~
Seize upon student enthusiasm for digital student success tools and partner with institutional stakeholders to build institutional support services around them. When student success tools are integrated into larger student success initiatives that coordinate campus resources, the digital tools for student success can only be more impactful, especially for groups that are traditionally disadvantaged. Take steps to make online learning opportunities the rule rather than the exception. At the institutional level, take steps to eliminate differential pricing structures for fully online courses so that they are accessible to all students. At the program level, consider ways to integrate online and blended courses in the curriculum to meet the learning environment preferences of students (and potentially increase enrollment). At the faculty level, create faculty development programs that help instructors better integrate the LMS into their face-to-face courses, thereby increasing the capacity to produce more blended learning opportunities. Begin laying the foundation for the development and adoption of next-generation digital learning environments (NGDLEs). On the technical side, NGDLEs that feature interoperability, personalization, collaboration, accessibility and universal design, and analytics require the development of APIs and open standards that can harness and integrate student success and learning analytics. On the cultural side, investment in faculty training and coaching to better use existing LMS features now will improve the learning experiences of current students, build buyin for online teaching and learning opportunities, and prepare faculty and students to use and thrive in the NGDLE.
~51~
Curate resources for faculty (and students) that provide evidence of the impact of technologies on teaching and learning, cases of good practices of the use of technology for a range of disciplines, and good examples of managing student device usage in class. Faculty claim that they would use technology more if they had evidence that using it in class works to the benefit of their students. They could also benefit from good examples drawn from the Scholarship of Teaching and Learning (SoTL) to think about ways to better integrate technology into their courses. And, resources to help them understand approaches to student (ab)use of devices in their courses may facilitate classroom policies better than reactionary bans.
~52~
Reference Keller, C., Hrastinski, S., & Carlsson, S. A. (2007). Students' Acceptanc of ELearning Environments: A Comparative Study in Sweden and Lithuania. International Business, 395-406.
Tarhini, A., Elyas, T., Akour, M. A., & Al-Salti, Z. (2016). Technology, Demographic Characteristics and E-Learning Acceptance: A Conceptual Model Based on Extended Technology Acceptance Model. Higher Education Studies, 6 (3), 72-89. Almajali, D., & Al-Lozi, M. (2016). Determinants of the Actual Use of ELearning Systems: An Empirical Study on Zarqa University in Jordan. Journal of Social Sciences, 5 (2), 1-29.
Bouhnik, D., & Marcus, T. (2006). Interaction in Distance‐ Learning Courses. Journal of the American Society for Information Science and Technology, 57, 299305.
Obeidat, B., Al-Suradi, M., & Tarhini, A. (2016). The Impact of Knowledge Management on Innovation: An Empirical Study on Jordanian Consultancy Firms. Management Research Review, 39 (10), 22-42
Masa'deh, R., Obeidat, B., & Tarhini, A. (2016). A Jordanian Empirical Study of
the
Associations
among
Transformational
Leadership,
Transactional
Leadership, Knowledge Sharing, Job Performance, and Firm Performance: A Structural Equation Modelling Approach. Journal of Management Development, 35 (5), 681-705.
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Masa’deh, R., Tarhini, A., Bany, M. A., & Maqableh, M., (2016). Modeling Factors Affecting Student’s Usage Behaviour of ELearning Systems in Lebanon. International Journal of Business and Management, 11 (2), 299-312.
Tarhini, A., Hone, K., & Liu, X. (2014b). Measuring the Moderating Effect of Gender and Age on E-Learning Acceptance in England: A Structural Equation Modelling Approach for an Extended Technology Acceptance Model. Journal of Educational Computing Research, 51(2), 163-184.
Schepers, J., & Wetzels, M. (2007). A Meta-Analysis of the Technology Acceptance Model: Investigating Subjective Normand Moderation Effects. Information & Management 44, 90-103.
Liaw, S. S., & Huang, H. M. (2011). A Study of Investigating Learners Attitudes toward E-Learning. In 2011 5th International Conference on Distance Learning and Education (Vol. 12, pp. 28-32).
Sun, H., & Zhang, P. (2006). The Role of Moderating Factors in User Technology Acceptance. International Journal Of Human-Computer Studies, 64, 53-78.
Kim, K., & Moore, J. (2005). Web-Based Learning: Factors Affecting Student' Satisfaction and Learning Experience. First Monday, 10, 11-34.
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Fischer, H., Heise, L., Heinz, M., Moebius, K., & Koehler, T. (2015). How to Identify E-Learning Trends in Academic Teaching: Methodological Approaches and the Analysis of Scientific Discourses. Interactive Technology and Smart Education, 12 (1), 31-43.
Moravec, T., Stepanek, P., & Valenta, P. (2015). The Influence of Using ELearning Tools on the Results of Students at the Tests. Procedia Social and Behavioural Sciences, 176, 81-86.
Mothibi, G. (2015). A Meta–Analysis of the Relationship between E-Learning and Students’ Academic Achievement in Higher Education. Journal of Education and Practice, 6 (9), 6-10.
Almajali, D. A. Masa'deh, R., & Al-Dmour, R. (2016). The Role of Information Technology in Motivating Students to Accept E-Learning Adoption in Universities: A Case Study in Jordanian Universities. Journal of Business & Management (COES&RJ-JBM), 4 (1), 36-46.
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Beurs, D., Groot, M., Keijser, J., Mokkenstorm, J., Duijn, E., Winter, R., & Kerkhof, A. (2015). The Effect of an E-Learning Supported Train–The Trainer Programmed on Implementation of Suicide Guidelines in Mental Health Care. Journal of Affective Disorders, 175, 446-453.
~56~
APPENDIX A EVALUATION FOR A SYSTEM (ALMS)
Direction: Kindly check the appropriate box that corresponds to your assessment using following numerical rating: Indicators
Excellent %
Very GOOD %
Fair %
Poor %
Total Weighted Mean
Interpretation
A. Functionality 1, Suitability 2, Security 3, Accuracy Over all Weighted Mean B. 1,Recoverability 2,Fault Tolerance Over all Weighted Mean C. 1,Understandability 2,Learnability 3,Operability 4,Attractiveness Over all Weighted Mean D. 1,Adoptability 2,Conformance Over all Weighted Mean
Numerical Rating
Equivalent
4
Excellent
3
Very Good
2
Fair
1
Poor
APPENDIX B PHOTOS OF DEMO
APPENDIX C SOURCE CODE
Registration system PHP and MySQL
Register
// form validation: ensure that the form is correctly filled if (empty($username)) { array_push($errors, "Username is required"); } if (empty($email)) { array_push($errors, "Email is required"); } if (empty($password_1)) { array_push($errors, "Password is required"); } if ($password_1 != $password_2) { array_push($errors, "The two passwords do not match"); } // register user if there are no errors in the form if (count($errors) == 0) { $password = md5($password_1);//encrypt the password before saving in the database $query = "INSERT INTO users (username, email, password) VALUES('$username', '$email', '$password')"; mysqli_query($db, $query); $_SESSION['username'] = $username; $_SESSION['success'] = "You are now logged in"; header('location: login.php'); } } // ... // LOGIN USER if (isset($_POST['login_user'])) { $username = mysqli_real_escape_string($db, $_POST['username']); $password = mysqli_real_escape_string($db, $_POST['password']); if (empty($username)) { array_push($errors, "Username is required"); }
if (empty($password)) { array_push($errors, "Password is required"); } if (count($errors) == 0) { $password = md5($password); $query = "SELECT * FROM users WHERE username='$username' AND password='$password'"; $results = mysqli_query($db, $query); if (mysqli_num_rows($results) == 1) { $_SESSION['username'] = $username; $_SESSION['success'] = "You are now logged in"; header('location: index.php'); }else { array_push($errors, "Wrong username/password combination"); } } } ?>
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@keyframes animatezoom { from {transform: scale(0)} to {transform: scale(1)} } /* Change styles for span and cancel button on extra small screens */ @media screen and (max-width: 300px) { span.psw { display: block; float: none; }
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/*! * Bootstrap v3.3.7 (http://getbootstrap.com) * Copyright 2011-2016 Twitter, Inc. * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE) */ /*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */ html { font-family: sans-serif; -webkit-text-size-adjust: 100%; -ms-text-size-adjust: 100%; } body { margin: 0; }
WORK EXPIRIENCE __________________________________ CALTEX Attendant & Cashier MARCH 2012- DECEMBER2015 Crown Property Appraisal Corporation (CPAC) January - March 2019
KENNETH JOHN D. BELTRAN INFORMATION TECHNOLOGY
CONTACT
EDUCATION __________________________________ Primary: Nabua West Central School S.Y. 2005-2006
__________________________________ Blk-79 BL-007 Pozzuoli St. Brgy Santiago Bella Vista, Cluster 1 General Trias, Cavite 0930 631 0949 Kenneth [email protected]
Secondary:
Pasay City South High School S.Y.2011-2012
Vocational:
TESDA Automotive NC II S.Y. 2012-2013
College :
STI-Pasay (IT)
S.Y. 2017-2018
OBJECTIVE __________________________________ To obtain in responsible and challenging position that will utilize my education, experience, to expand my knowledge, to explore other opportunities for my professional growth.
SKILLS __________________________________ Good Listener Can work under pressure/ Deadline-driven environment Creative and Resourceful
CHARACTER REFERENCES __________________________________ ED MANUEL D. MAMANGON
Self-Employed SHERWIN RAFANOT Appraiser FE DOTILLOS CAMPA NURSE
OBJECTIVE To be part of a progressive company where in I can enhance my skills and abilities Through actual exposure in response of the needs of company.
EDUCATION Primary :
Dumarais Elementary School Dumarais La Paz, Tarlac 2004 – 2010
Secondary:
Amucao High School Amucao Tarlac City 2010 – 2014
Vocational:
Electron Technical Vocational Training Center Inc. 2308 Taft Ave. Pasay City
CLESTER G. VARGAS INFORMATION TECHNOLOGY
CONTACT Black 20 Lot 1 Saint Cecille St. Maricaban, Pasay City 09272093145 / 472-0629
Computer Science June 2014 – September 2014
SKILLS
Microsoft office word Microsoft office Power point Microsoft office Excel Microsoft office Publisher Adobe Photo shop
WORK EXPERIENCE Dumarais Christian Learning Center Inc School Utility Man May 2016 – August 2016
Food and Beverage Services NC III September 2015 – December 2015 College :
STI College 2008 Manester Building Edsa Exit Information Technology (Programming)
CHARACTER REFERENCES Charisse B. Tubalinal
Maritech Maritime Training Studies & Manning Services
Accounting Staff Silver Financing
Security Guard Time keeper October 03, 2017-June 10, 2018 .
Rev. Krusaldo Tababa Pastor Paraiso United Methodist Church
NEIL DEOCAMPO G. 114 Almazor St., Maricaban Pasay City Contact no: 09097475656 / 853-3928 Email add: [email protected] OBJECTIVES:
To attain a challenging and responsible career in organization where I can contribute the best of my knowledge and efforts and be part of a team that excels in work towards the success of the company. PERSONAL INFORMATION: Age : Date of Birth : Citizenship : Civil Status : Height : Weight : Name of Father : Name of Mother : Address : Language/Dialect Spoken :
22 January 20, 1997 Filipino Single 5’7” 53 kls. Francis Deocampo Emy Deocampo 114 Almazor St., Maricaban Pasay City English and Tagalog
QUALIFICATION
Good Communication Skills Can interact with people Hardworking, Responsible, Highly Motivated, Flexible a person of initiative can work long hours/under pressure.
EDUCATIONAL BACKGROUND: Elementary : Villamor Air Base Elementary School 2009 High School : Pasay City South High School 2015 College : STI Pasay Course : Imformation Technology (IT) I hereby certify that the above information are true and correct to the best of my knowledge and belief.
Applicant Signature
MARIANE KAYE BERGADO 48B Emerald St. Greenheights Village, Sucat Paranaque Contact No: 09059786335 Email: [email protected]
1.0
Career Objective
seek challenging assignment and responsibility, with an opportunity for growth and career advancement. 2.0
Personal Data
Age : 21 years old Date of Birth : December 10, 1997
Work Experience Sales Associate - Telecom World, Robinsons Place ( May 2015 – May 2017 ) Part Time Job - Assistant Photographer - Rio Jones Photography ( October 2017 – Present ) Strengths, Skills and Interest
Gender : Female
•
Good business sense
Citizenship :Filipino
•
Ability to work under pressure
•
Willingness to learn
Weight : 60 kg
•
Microsoft office word
Religion : Roman Catholic
•
Photography
Height: 5’0
Education Attainment STI College Pasay : Information Technology ( 2017 – Present ) Tesda Training Center Taguig Campus : Electronic Services ( 2016 ) Vinzons Pilot High School : Vinzons Camarines Norte ( 2010 – 2015 ) San Isidro Elementary School : Talisay Camarines Norte ( 2004 – 2010 ) Our Lady of Fatima Shrines School : Vinzons Camarines Norte ( 2002 – 2003)
Character Reference •
Ms.Leila De leon
•
Powerfix Gadget Repair Shop
•
Chief Executive Officer
•
Ms. Jolina Garces
•
Sutherland Global Services
•
Tech Support
EDUCATION:
Elementary:
Ateneo de Zamboanga University 2004-2010
High School:
Immaculate Concepcion Archdiocesan School
JAYSON S. LANZADERAS
2010-2014 Cityland 720 Pablo Ocampo Sr. Ave., Malate, Metro Manila, Philippines Cotact No.: 09173939825 Email: [email protected]
College:
Zamboanga 2014-2015
SUMMARY OF QUALIFICATIONS: An Information Technology student; I am friendly and honest; attentive listener and understanding person; wise and active; computer literate and God fearing.
Western Mindanao State University
PERSONAL INFORMATION: Date of Birth: Place of Birth: Height: Weight: Hobbies: Religion: Health status:
2015-2016
September 18, 1997 Zamboanga City, Philippines 5”6 86 kg Catholic Excellent
Universidad de
STI Pasay 2017–present EXPERIENCE:
Customer Service Representative, Teleperformance Ayala FAMILY BACKGROUND:
Father: Occupation: Mother: Occupation:
Gaspar P. Lanzaderas Civil Engineer Abigail S. Lanzaderas Architect