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Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior
- Source :
- Smart Learning Environments, Vol 10, Iss 1, Pp 1-16 (2023)
- Publication Year :
- 2023
- Publisher :
- SpringerOpen, 2023.
-
Abstract
- Abstract Information avoidance has been studied in medicine, economics, and psychology, and has recently been discussed in educational technology. In this study, the authors developed a grouping method to reduce students’ information avoidance in reading through group work. This two-step group method includes the k-means and genetic algorithm to explore the grouping method based on students’ marking tendencies. To examine the effect of this method, an experiment was conducted in a web-system development course with 33 graduate students. The results showed that information avoidance occurred less in the experimental group than in the control group. The students of the two-step grouping method evaluated group work as more helpful for their study than the students who attended the usual group work.
Details
- Language :
- English
- ISSN :
- 21967091
- Volume :
- 10
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Smart Learning Environments
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.9c1c4f3628c74e85a710b2a685e32958
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s40561-023-00281-7