Postgraduate Course: Adaptive Learning Environments 2 (Level 11) (INFR11040)
|School||School of Informatics
||College||College of Science and Engineering
||Availability||Available to all students
|Credit level (Normal year taken)||SCQF Level 11 (Postgraduate)
|Home subject area||Informatics
||Other subject area||None
||Taught in Gaelic?||No
|Course description||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.
Entry Requirements (not applicable to Visiting Students)
||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.
|Additional Costs|| None
Information for Visiting Students
|Displayed in Visiting Students Prospectus?||No
Course Delivery Information
|Not being delivered|
Summary of Intended 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.
|Written Examination 0|
Assessed Assignments 90
Oral Presentations 10
Group assessment (80% of the mark) is based on the system design, resulting system, system evaluation and evidence of collaboration within the group, through:
a. Report on the user-centred design study, initial requirement specification and description of the proposed design, including proposed milestones and expected outcomes (10%)
b. Interim progress report (10%)
c. Oral presentation and demonstration of final system (10%)
d. Final report including system evaluation (50%)
20% of the mark is based on individual contribution assessed by: individual electronic work diaries; contribution to group meetings, presentations and demonstrations; records of group meetings. Students making no group contribution will receive 0%.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calender year.
||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
||* Background papers and tutorial materials on the relevant tools will be provided.
Timetabled Laboratories 6
Non-timetabled assessed assignments 132
Private Study/Other 50
|Course organiser||Dr Douglas Armstrong
Tel: (0131 6)50 4492
|Course secretary||Miss Gillian Bell
Tel: (0131 6)50 2692