Investigating the Links Between Students’ Learning Engagement and Modeling Competence in Computer-Supported Modeling-Based Activities

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Publicado en:Journal of Science Education and Technology vol. 30, no. 6 (Dec 2021), p. 751
Autor principal: Ya-Joe, Wang
Otros Autores: Lee Silvia Wen-Yu, Chen-Chung, Liu, Pai-Chuan, Lin, Cai-Ting, Wen
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Springer Nature B.V.
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022 |a 1059-0145 
022 |a 1573-1839 
024 7 |a 10.1007/s10956-021-09916-1  |2 doi 
035 |a 2581103402 
045 2 |b d20211201  |b d20211231 
100 1 |a Ya-Joe, Wang  |u National Changhua University of Education, Graduate Institute of Science Education, Changhua, Taiwan (GRID:grid.412038.c) (ISNI:0000 0000 9193 1222) 
245 1 |a Investigating the Links Between Students’ Learning Engagement and Modeling Competence in Computer-Supported Modeling-Based Activities 
260 |b Springer Nature B.V.  |c Dec 2021 
513 |a Journal Article 
520 3 |a The purpose of this study was to understand how students engage in computer-supported modeling-based activities (CSMBAs), and the relationship between their engagement and their modeling competence. Different facets of learning engagement were measured through multiple data, including performance on modeling tasks, self-reported level of engagement, and online behavior patterns of science modeling. The research participants were 76 11th-grade students in Taiwan. The research instruments included online student worksheets, an engagement questionnaire, computer logs, and modeling competence tests. Students’ online worksheets were scored and used to group them into three performance groups—the low-level-performance group (LPG), the middle-level-performance group (MPG) and the high-level-performance group (HPG). ANOVA statistics lag sequential analysis (LSA), and ANCOVA statistics were used for the data analysis. The results showed that, first, in analyzing the engagement questionnaires, students’ negative cognitive engagement, negative behavioral engagement, and negative social engagement all played important roles in their low performance in the CSMBAs. Second, through the use of LSA, it was found that the LPG students lacked evaluative behavior, while the HPG students emphasized reflective behavior. Third, analysis of the students’ pre- and post-modeling competence tests showed that those who were in the HPG and MPG scored significantly higher than those in the LPG in two dimensions of the modeling competence post-tests. The results indicate that efforts made in completing tasks in CSMBAs can lead to better modeling competence. Implications for developing future CSMBAs and for promoting student engagement are suggested. 
653 |a Data analysis 
653 |a Students 
653 |a Variance analysis 
653 |a Learning 
653 |a Statistical analysis 
653 |a Cognitive ability 
653 |a Questionnaires 
653 |a Sequential analysis 
653 |a Modelling 
653 |a Group dynamics 
653 |a Two dimensional models 
653 |a Grade 11 
653 |a Behavior Patterns 
653 |a Learner Engagement 
653 |a Social 
700 1 |a Lee Silvia Wen-Yu  |u National Taiwan Normal University, Graduate Institute of Information and Computer Education, Taipei, Taiwan (GRID:grid.412090.e) (ISNI:0000 0001 2158 7670) 
700 1 |a Chen-Chung, Liu  |u National Central University, Department of Computer Science and Information Engineering, Taoyuan, Taiwan (GRID:grid.37589.30) (ISNI:0000 0004 0532 3167) 
700 1 |a Pai-Chuan, Lin  |u National Changhua University of Education, Graduate Institute of Science Education, Changhua, Taiwan (GRID:grid.412038.c) (ISNI:0000 0000 9193 1222) 
700 1 |a Cai-Ting, Wen  |u National Central University, Graduate Institute of Network Learning Technology, Taoyuan, Taiwan (GRID:grid.37589.30) (ISNI:0000 0004 0532 3167) 
773 0 |t Journal of Science Education and Technology  |g vol. 30, no. 6 (Dec 2021), p. 751 
786 0 |d ProQuest  |t Agriculture Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2581103402/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/2581103402/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch