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Visualizing Self-and Peer-assessment Data by a Self-organizing Map for Inducing Awareness in Learners
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ueki, Yuta Ohnishi, Kei |
| Copyright Year | 2016 |
| Abstract | Selfand peer-assessments among learners are presumed to motivate learners to increase their learning and introspection. The basis behind this effect is the awareness resulting from differences between a self-assessment result and the assessment results from others. Therefore, to enable learners to benefit from selfand peer-assessments, we need to easily visualize results that make them aware of some factor that could improve their learning ability. In this study, we designed a system to visualize selfand peer-assessment data, which are many and multi-dimensional data, in such a way that we can easily grasp an overview at first glance. We then developed an actual system using a self-organizing map (SOM) as a method for visualizing selfand peer-assessment data. In a comparison of the visualization method in our developed system, SOM, and a conventional method, a radar chart, we showed the usefulness of our visualization method, SOM, through a subjective evaluation test and a statistical hypothesis test. In addition, we carried out an experiment in which people wrote reports, then conducted selfand peer-assessments of what they wrote by using the developed system. The experimental results showed that the visualization of selfand peer-assessment data enabled people to become aware of some factor that helped them to improve their |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.mirlabs.org/ijcisim/regular_papers_2016/IJCISIM_3.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
