Expert Seminar

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Adaptive Statistical Methods Generative Learning Objects (GLOs) Dawn Leeder and Raquel Morales UCeL Director

 

Eduserv Research Fellow

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Outline: - UCeL: who we are and what we do - Generative Learning Object project with C-SAP - Expert seminar: what we want from you

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

UCeL partners: Nottingham Manchester UEA (Norwich) Peninsula (Plymouth/Exeter) Wolverhampton Cambridge (hub) London Metropolitan (advisory)  

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

UCeL working definition of RLO

Reusable Learning Object (RLO): “a self-contained ‘chunk’ of interactive web-based learning, comprising a variety of media ingredients that are combined to support a single learning objective”

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Why are RLOs reusable? Single learning objective means: • Stand-alone • Self-contained Can be joined up in different ways. Don’t replace face-to-face, but enhance it. Can be used in different settings and across disciplines.

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

How are RLOs made? First identify topics to be developed (e.g.

Statistics Research Methods Anatomy & Physiology Epidemiology Sociology)

Based on real educational needs Awareness of topics that generalise

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

RLO production Stage 1: Content creation “unlocking content” content created by subject experts using template - RLO specification based on single learning objective contains activity and assessment peer review - quality assurance

facilitated by UCeL content creation workshops hands-on, one day workshops brainstorm learning objective create content in groups discuss and evaluate digitally archive results  

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

RLO production Stage 2: RLO development content spec developed into RLO distributed production media ingredients assembled (images, audio, animations etc) Macromedia suite - Dreamweaver, Director & Flash MX technical check - functionality peer review - second stage

facilitated by UCeL residential developer training programme intensive week-long course ‘hot-house’ learning lab environment get up to speed with templates, tools and software share skills, tips and tricks RLOs delivered to web

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Use and evaluation 29 questions to determine • Baseline comfort with computers use of web

• Usability navigation control ease of use

• Look and feel aesthetics

• Content level appropriateness

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk UCeL: A model for the production of collaborative, multidisciplinary eLearning materials • •

•

•  

Identify topics: - Based on REAL educational needs - Broadly generalisable RLO content creation: - Specification - Workshops - Peer-review RLO development: - Ingredients and templates - Training programme - Peer-review Use and evaluation  

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Summary RLOs are expensive and time-consuming to make ➾ collaborative creation and sharing UCeL: A Model for the the production of collaborative, multidisciplinary eLearning materials

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Next generation of RLOs: Will support adaptable modifications to meet a range of learning demands.

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

UCeL is now designing the next generation of learning objects: Generative Learning Objects (GLOs): “those that can be customised by users so materials can be presented in the most appropriate way for their particular subject speciality”

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Generative Learning Object project with C-SAP: Adaptive Statistical Methods -18 months: January 05 to June 06 - The project will include:

 

 

workshops, content development, resources development dissemination and feedback

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Adaptive Statistical Methods Statistical issues arise as important natural parts of the process of reaching conclusions. From astronomy to psychology studies, statistical methods are required for data analysis across disciplines.

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

STEPS Project: STatistical Education through Problem Solving As part of the Teaching and Learning Technology Programme phase 1, the STEPS project developed problem-based teaching and learning materials for statistics - specific problems in Biology, Business, Geography and Psychology. Taking the STEPS materials as our starting point, UCeL will be using the different statistical tests as the core for Adaptive Statistical Methods GLOs.

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk HANDLING DATA CYCLE

Evaluate results

Specify the problem & plan

Interpret and discuss data

Collect data

Process and represent data

 

 

Adapted from Prof. Neville Davis, School of Computing and Informatics Nottingham Trent University

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

Handling Data Cycle Stage

 

Tutor Action

i) Specify the problem and plan

- Provide description of the problem: determines plan/method to apply

ii) Collect data

- Provide data to analyse

iii) Process and represent data

- Select statistical method - Select representation

iv) Interpret and discuss data

- Provide interpretation - Provide space for discussion

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Peer Review Process

LO Template Design Team

LO Template Design Process

LO LO LO Template Template Template Library Library Library

Peer Review Process

Tutors, students

Subject specification customisation

People Processes Libraries

LO LO LO Template Library Template Library Library

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

REALITY CHECK:

QUESTIONS TO YOU

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

i) What are the main problems tutors and students encounter?

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

ii) What is your strategy for teaching Statistical Methods? - is it problem-based approach? - cover methods first and then applications?

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

iii) Which resources (i.e. software package) do you use/teach at your department?

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk

iv) What would be the optimal learning resource? What would be the student’s journey?

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005

Universities' Collaboration in eLearning (UCeL) www.ucel.ac.uk v) Having chosen a particular method, what do we need to interrogate our workshops attendees about? - statistical method name: is there an agreement on which methods are the most widely used? NOTE: STEPS uses: - plotting and summarising data, - confidence intervals and hypothesis test, - regression, and - the analysis variance. -description of the method (optional? links to it?). -software package tool used at their department: any constrains on the data used? -Glossary - activity/assessment: interpretation of results discussion of further action bank of questions - desirable?

 

 

Adaptive statistical methods in social sciences Expert seminar: 15 February 2005