Smart Learning Environments, 2023-12, Vol.10 (1), p.62-16, Article 62
2023
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior
- Ist Teil von
- Smart Learning Environments, 2023-12, Vol.10 (1), p.62-16, Article 62
- Ort / Verlag
- Singapore: Springer Nature Singapore
- Erscheinungsjahr
- 2023
- Quelle
- ERIC
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 2196-7091eISSN: 2196-7091DOI: 10.1186/s40561-023-00281-7Titel-ID: cdi_doaj_primary_oai_doaj_org_article_9c1c4f3628c74e85a710b2a685e32958
- Format
- –
- Schlagworte
- AI in smart learning for sustainable education, Attention Control, Attitudes, Avoidance, Behavior, College students, Computers and Education, Control Groups, Education, Genetic algorithm, Genetic algorithms, Graduate Students, Group Activities, Informatics, Information avoidance, Information seeking behavior, Information technology, Machine learning, Motivation, Psychology, Reading, Reading activity, Social Psychology, Student Behavior, Students, Users (Information)