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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2011/2012
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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Adaptive Learning Environments 1 (Level 11) (INFR11069)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Course typeStandard AvailabilityNot available to visiting students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaInformatics Other subject areaNone
Course website http://www.inf.ed.ac.uk/teaching/courses/ale1 Taught in Gaelic?No
Course descriptionComputer based tools and learning environments are increasingly used in teaching and learning. This course explores how such educational systems can be made more adaptive and interactive, in order to improve the quality and effectiveness of the teaching that they provide. The theoretical basis of adaptive learning environments will be examined. A number of techniques and examples of existing systems will be considered, This course aims to better equip students with the skills to design and evaluate intelligent and adaptive educational systems. The course presentation will comprise a mixture of lectures and group-based task-led seminars.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Students MUST NOT also be taking Adaptive Learning Environments 1 (Level 10) (INFR10026)
Other requirements For Informatics PG and final year MInf students, or by permission of the School.
Additional Costs None
Course Delivery Information
Delivery period: 2011/12 Semester 2, Not available to visiting students (SS1) WebCT enabled:  No Quota:  None
Location Activity Description Weeks Monday Tuesday Wednesday Thursday Friday
No Classes have been defined for this Course
First Class Week 1, Tuesday, 12:10 - 13:00, Zone: Central. DHT 7.01
Exam Information
Exam Diet Paper Name Hours:Minutes
Main Exam Diet S2 (April/May)2:00
Summary of Intended Learning Outcomes
1 - demonstrate knowledge of theoretical approaches and methods used in previous systems through their application to new teaching tasks;
2 - demonstrate an understanding of the design issues in developing educational tools and environments through completing a number of design tasks;
3 - identify appropriate techniques for use in the design and implementation of adaptive learning environments, and assess their relative strengths and weaknesses in relation to specific tasks;
4 - describe methods that can be used to evaluate educational systems and apply these to existing systems;
5 - critically evaluate the state of the art in selected topics through a literature review.
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0

Assessment
The first coursework assignment will be a review of current systems, in conjunction with a design of a pedagogical system (or component of one), using knowledge of current systems to inform the design.
The second coursework assignment would be a theoretical investigation of a particular set of techniques in relation to a specific aspect of ALE, with evaluation of their application to a set task.
The third coursework assignment will be a literature review of recent developments and the state of the art in a topic area relevant to the course.

Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus The issues addressed will include the following:

Previous development of teaching systems and limitations; adaptivity in relation to the domain and the learner

Methodology: empirically informed and user centred design; involving students and teachers in the design process

Modelling and simulating domain knowledge; qualititative modelling

Modelling the user: diagnosis, errors and misconceptions; modelling affect

Pedagogical Issues: theoretical and educational basis of teaching tools; using Pedagogical Agents;

Models of interaction and communication; Educational dialogue;

Evaluating the design and effectiveness of educational software;

Recent developments and the state of the art.

Relevant QAA Computing Curriculum Sections: Artificial Intelligence, Human-Computer Interaction (HCI), Intelligent Information Systems Technologies, Multimedia
Transferable skills Not entered
Reading list * A reading pack of research papers, and references to specific systems, will be provided.
* Further references sources will be recommended as required.

Study Abroad Not entered
Study Pattern Lectures 20
Tutorials 0
Timetabled Laboratories 0
Non-timetabled assessed assignments 50
Private Study/Other 30
Total 100
KeywordsNot entered
Contacts
Course organiserDr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk
Course secretaryMiss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk
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