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MMM
2015
Springer

Performance Evaluation of Students Using Multimodal Learning Systems

3 years 9 months ago
Performance Evaluation of Students Using Multimodal Learning Systems
Multimodal learning, as an effective method for helping students to understand complex concepts, has attracted much research interest recently. Using more than one media in the learning process typically makes the study material easier to grasp. In the current study, students annotate linguistic and visual elements in multimodal texts by using geometric shapes and assigning attributes. However, how to effectively evaluate student performance is a challenge. This work proposes to make use of a vector space model to process student-generated multimodal data, with a view to evaluating student performance based on the annotation data. The vector model consists of fuzzy membership functions to model the performance in the various annotation criteria. These vectors are then used as the input to a multi-criteria ranking framework to rank the students.
Subhasree Basu, Roger Zimmermann, Kay L. O'Hallora
Added 14 Apr 2016
Updated 14 Apr 2016
Type Journal
Year 2015
Where MMM
Authors Subhasree Basu, Roger Zimmermann, Kay L. O'Halloran, Sabine Tan, Marissa K. L. E.
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