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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Corrias, A. Cho Hong, J.G. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Biomed. Eng., Nat. Univ. of Singapore, Singapore, Singapore (Corrias, A.; Cho Hong, J.G.) |
| Abstract | The design and implementation of a learning environment that leverages on the use of various technologies is presented. The context is an undergraduate core engineering course within the biomedical engineering curriculum. The topic of the course is data analysis in biomedical engineering problems. One of the key ideas of this study is to confine the most mathematical and statistical aspects of data analysis in prerecorded video lectures. Students are asked to watch the video lectures before coming to class. Since the classroom session does not need to cover the mathematical theory, the time is spent on a selected real world scenario in the field of biomedical engineering that exposes students to an actual application of the theory. The weekly cycle is concluded with a hands-on tutorial session in the computer rooms. A potential problem would arise in such learning environment if the students do not follow the recommendation of watching the video lecture before coming to class. In an attempt to limit these occurrences, two key instruments were put in place: a set of online self-assessment questions that students are asked to take before the classroom session and a simple rewards system during the classroom session. Thanks to modern learning analytics tools, we were able to show that, on average, 57.9% of students followed the recommendation of watching the video lecture before class. The efficacy of the learning environment was assessed through various means. A survey was conducted among the students and the gathered data support the view that the learning environment was well received by the students. Attempts were made to quantify the impacts on learning of the proposed measures by taking into account the results of selected questions of the final examination of the course. Although the presence of confounding factors demands caution in the interpretation, these data seem to indicate a possible positive effect of the use of video lectures in this technologically enhanced learning environment. |
| Starting Page | 3985 |
| Ending Page | 3988 |
| File Size | 677817 |
| Page Count | 4 |
| File Format | |
| ISSN | 1557170X |
| e-ISBN | 9781424492718 |
| DOI | 10.1109/EMBC.2015.7319267 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-08-25 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biomedical engineering Linear regression Data analysis Tutorials Context Biomedical measurement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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