Postgraduate Course: Adaptive Learning Environments 2 (Level 11) (INFR11040)
Course Outline
School | School of Informatics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
SCQF Credits | 20 |
ECTS Credits | 10 |
Summary | This course provides the opportunity for students, working in groups, to design, specify, implement and evaluate an adaptive learning environment in order to facilitate learning in relation to a specific task domain.
The course presentation will primarily be group based project work, with a small number of suporting lectures and laboratory sessions. The groups will meet in the tutorial slots. |
Course description |
ALE-2 is concerned with the design, specification, implementation and evaluation of an adaptive learning environment. Design will be user-centred and informed by an initial empirical study of potential users (or appropriate experts). Evaluation will also be a significant component of the course.
Students will be organised into system design/implementation teams, and weekly (tutorial) meetings with the module staff coordinators will be used to report progress, motivate decisions, discuss problems, and/or demonstrate implemented software. Either module staff or nominated external experts will act as users for the initial design task, and for evaluation purposes. Module staff will provide advice and information on resources and design, implementation and evaluation decisions. Module staff will also provide materials and lab based sessions to introduce the software used.
The issues addressed will include the following:
- Methods for informing the design of educational software
- Specification of design constraints and system requirements
- Techniques and tools for implementation (e.g. the CMU Cognitive Tutoring Tools)
- Evaluating the design and effectiveness of educational software
Relevant QAA Computing Curriculum Sections: Artificial Intelligence, Human-Computer Interaction (HCI), Intelligent Information Systems Technologies, Multimedia
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | Prior attendance at Adaptive Learning Environments 1 (Level 10/11) and Human-Computer Interaction (Level 10/11).
For Informatics PG and final year MInf students only, or by special permission of the School. Students should also be able to program in Java. |
Information for Visiting Students
Pre-requisites | None |
Course Delivery Information
Not being delivered |
Learning Outcomes
1 - demonstrate the use of appropriate user-centred design methods through carrying out a specific design task;
2 - identify a set of design constraints, informed by the user-centred design task, and interpret these in a system design specification;
3 - use existing tools to design and build an adaptive learning environment that satisifies these design constraints;
4 - critically review and evaluate the resulting system;
5 - present the work done as reports, orally and within a system demonstration.
6 - work as part of a team and participate in group decision-making;
7 - devise and satisfy realistic goals given external time constraints.
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Reading List
* Background papers and tutorial materials on the relevant tools will be provided.
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Contacts
Course organiser | Dr Douglas Armstrong
Tel: (0131 6)50 4492
Email: Douglas.Armstrong@ed.ac.uk |
Course secretary | Miss Gillian Bell
Tel: (0131 6)50 2692
Email: Gillian.Bell@ed.ac.uk |
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