Paper Info
Title
Inducing awareness for learners through visualizing mutual evaluation data by a self-organizing map
Abstract
Self-evaluation and evaluations among peer learners, which together are called mutual evaluations in this study, are presumed to motivate learners to increase learning and introspection. The basis behind these effects is the awareness resulting from the differences between self-evaluation and evaluations from others. Therefore, for learners to benefit from the effects of mutual evaluations, we need to easily visualize the mutual evaluation results that make them aware of something. In this paper we design a system to visualize mutual evaluation data, which are many and multi-dimensional data, in such a way that we can easily grasp the overview at first glance and develop an actual system according to the design for fostering “Fundamental Competencies for Working Persons” as an example. In addition, we compare the visualization method used in the developed system with an existing method through a subjective evaluation test and a statistical hypothesis test. Finally, we show the usefulness of our visualization method by comparing the results.
Year
DOI
Venue
2015
10.1109/SOCPAR.2015.7492795
2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)
Keywords
Field
DocType
mutual evaluation,visualization,awareness,self-organizing map
Introspection,Competence (human resources),GRASP,Computer science,Visualization,Self-organizing map,Artificial intelligence,Machine learning,Statistical hypothesis testing
Conference
ISSN
Citations 
PageRank 
2381-7542
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Yuta Ueki100.34
Kei Ohnishi23917.71