Postgraduate Course: Adaptive Learning Environments 1 (Level 11) (INFR11069)
Course Outline
School | School of Informatics |
College | College of Science and Engineering |
Course type | Standard |
Availability | Available to all students |
Credit level (Normal year taken) | SCQF Level 11 (Year 4 Undergraduate) |
Credits | 10 |
Home subject area | Informatics |
Other subject area | None |
Course website |
http://www.inf.ed.ac.uk/teaching/courses/ale1 |
Taught in Gaelic? | No |
Course description | Computer 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 |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser. |
Additional Costs | None |
Information for Visiting Students
Pre-requisites | None |
Displayed in Visiting Students Prospectus? | Yes |
Course Delivery Information
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Delivery period: 2014/15 Semester 2, Available to all students (SV1)
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Learn enabled: No |
Quota: None |
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Web Timetable |
Web Timetable |
Course Start Date |
12/01/2015 |
Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 20,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
76 )
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Additional Notes |
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Breakdown of Assessment Methods (Further Info) |
Written Exam
70 %,
Coursework
30 %,
Practical Exam
0 %
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Exam Information |
Exam Diet |
Paper Name |
Hours & Minutes |
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Main Exam Diet S2 (April/May) | Adaptive Learning Environments 1 | 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.
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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 will be a literature review of recent developments and the state of the art in a topic area relevant to the course.
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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.
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Study Abroad |
Not entered |
Study Pattern |
Lectures 20
Tutorials 0
Timetabled Laboratories 0
Non-timetabled assessed assignments 50
Private Study/Other 30
Total 100 |
Keywords | Not entered |
Contacts
Course organiser | Dr Mary Cryan
Tel: (0131 6)50 5153
Email: |
Course secretary | Miss Kate Farrow
Tel: (0131 6)50 2706
Email: |
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© Copyright 2014 The University of Edinburgh - 13 February 2014 1:38 pm
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