Smyth, David (2006) Online Heuristic Assessment: A descriptive study profiling e-learning environment interactivity and outcomes. Diploma thesis, Dublin, National College of Ireland.
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Due to the growth in the size of online classes, tutors' support will be spread over the larger population. New ways of guiding students in their studies should be found. A better solution would be to provide a tool that could give profiled guidance (Heuristic Self-Assessment) using an artificial intelligence.
This study describes the rules (Heuristics) for online activity, as used by a class of l8 adult learners in a higher diploma. Their activity was observed in five areas of Virtual Learning Environment (VLE) interaction. At the end of a semester the statistics produced in the VLE and their results in two online tests were data-mined to identify the rules that lead to their results. This data is then examined for rules that might lend themselves to the purpose of "Heuristic Assessment".
A process for converting course activity into heuristics for a course is provided by this study, and it evaluates the ways that online student activity might be used to provide an indication of future performance.
It was found that in the initial stage of the course system and construction activities paid were the best indications of future results, but as the semester progressed, forum and resource activity dominated the activity of students who received better results.
|Item Type:||Thesis (Diploma)|
|Subjects:||L Education > LC Special aspects / Types of education > E-Learning|
|Divisions:||School of Computing > Higher Diploma in Computing in Science in eLearning|
|Depositing User:||Tim Lawless|
|Date Deposited:||04 May 2010 10:59|
|Last Modified:||28 Apr 2012 14:09|
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