Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior
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 metho...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-11-01
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| Series: | Smart Learning Environments |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40561-023-00281-7 |
| _version_ | 1797413679011987456 |
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| author | Juan Zhou Siqi Wang Ling Xu Chengjiu Yin |
| author_facet | Juan Zhou Siqi Wang Ling Xu Chengjiu Yin |
| author_sort | Juan Zhou |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T05:22:22Z |
| format | Article |
| id | doaj.art-9c1c4f3628c74e85a710b2a685e32958 |
| institution | Directory Open Access Journal |
| issn | 2196-7091 |
| language | English |
| last_indexed | 2024-03-09T05:22:22Z |
| publishDate | 2023-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Smart Learning Environments |
| spelling | doaj.art-9c1c4f3628c74e85a710b2a685e329582023-12-03T12:39:58ZengSpringerOpenSmart Learning Environments2196-70912023-11-0110111610.1186/s40561-023-00281-7Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behaviorJuan Zhou0Siqi Wang1Ling Xu2Chengjiu Yin3School of Environment and Society, Tokyo Institute of TechnologyGraduate School of System Informatics, Kobe UniversityApplied Information Technology, The Kyoto College of Graduate Studies for InformaticsResearch Institute for Information Technology, Kyushu UniversityAbstract 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.https://doi.org/10.1186/s40561-023-00281-7Information avoidanceReading activityGenetic algorithmGraduate students |
| spellingShingle | Juan Zhou Siqi Wang Ling Xu Chengjiu Yin Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior Smart Learning Environments Information avoidance Reading activity Genetic algorithm Graduate students |
| title | Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior |
| title_full | Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior |
| title_fullStr | Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior |
| title_full_unstemmed | Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior |
| title_short | Using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior |
| title_sort | using the grouping function of machine learning algorithm to reduce the influence of information avoidance tendency during reading behavior |
| topic | Information avoidance Reading activity Genetic algorithm Graduate students |
| url | https://doi.org/10.1186/s40561-023-00281-7 |
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