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Environ."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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\u2019 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\u2019 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.<\/jats:p>","DOI":"10.1186\/s40561-023-00281-7","type":"journal-article","created":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T12:02:32Z","timestamp":1701086552000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior"],"prefix":"10.1186","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2995-4559","authenticated-orcid":false,"given":"Juan","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Siqi","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Ling","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Chengjiu","family":"Yin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,11,27]]},"reference":[{"key":"281_CR1","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.compedu.2019.01.011","volume":"133","author":"C-M Chen","year":"2019","unstructured":"Chen, C.-M., & Kuo, C.-H. 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