Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship
As online learning platforms become prevalent, online learning has been an important way for college students. Online learning engagement, as an evaluation of online learning quality, is crucial for enhancing learning quality and promoting higher education by investigating college students’ engageme...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Behavioral Sciences |
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| Online Access: | https://www.mdpi.com/2076-328X/15/1/78 |
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| author | Yonghong Wang Mingzhang Zuo Xiangchun He Zhifeng Wang |
| author_facet | Yonghong Wang Mingzhang Zuo Xiangchun He Zhifeng Wang |
| author_sort | Yonghong Wang |
| collection | DOAJ |
| description | As online learning platforms become prevalent, online learning has been an important way for college students. Online learning engagement, as an evaluation of online learning quality, is crucial for enhancing learning quality and promoting higher education by investigating college students’ engagement and its influencing factors in the online learning environment. This paper aims to identify key factors affecting college students’ online learning behavioral engagement. Based on a literature review, the Delphi expert consultation method was used to build an assessment framework covering five dimensions (participation, concentration, interaction, challenge, and self-monitoring) with sixteen specific indicators. The Analytic Hierarchy Process (AHP) determined the weights of these factors. Then, data from 63 students using the “Ketangpai” online learning platform were collected and analyzed to explore the correlation and predictive relationships between online learning behavior indicators and academic achievements. The results showed a strong correlation between the frequency of accessing online learning resources and long-term online learning and academic performance, and a prediction model was established. The framework offers theoretical and methodological insights for designing online learning activities and evaluating learning quality. It supports intervening in and assessing college students’ online learning processes and improving learning quality. Also, exploring the relationship helps educators formulate personalized online teaching strategies, improving online education effectiveness and students’ learning experiences. |
| format | Article |
| id | doaj-art-9cebd198a584472f95d394f79aae818d |
| institution | Kabale University |
| issn | 2076-328X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Behavioral Sciences |
| spelling | doaj-art-9cebd198a584472f95d394f79aae818d2025-01-24T13:22:49ZengMDPI AGBehavioral Sciences2076-328X2025-01-011517810.3390/bs15010078Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their RelationshipYonghong Wang0Mingzhang Zuo1Xiangchun He2Zhifeng Wang3Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaCollege of Educational Technology, Northwest Normal University, Lanzhou 730070, ChinaFaculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, ChinaAs online learning platforms become prevalent, online learning has been an important way for college students. Online learning engagement, as an evaluation of online learning quality, is crucial for enhancing learning quality and promoting higher education by investigating college students’ engagement and its influencing factors in the online learning environment. This paper aims to identify key factors affecting college students’ online learning behavioral engagement. Based on a literature review, the Delphi expert consultation method was used to build an assessment framework covering five dimensions (participation, concentration, interaction, challenge, and self-monitoring) with sixteen specific indicators. The Analytic Hierarchy Process (AHP) determined the weights of these factors. Then, data from 63 students using the “Ketangpai” online learning platform were collected and analyzed to explore the correlation and predictive relationships between online learning behavior indicators and academic achievements. The results showed a strong correlation between the frequency of accessing online learning resources and long-term online learning and academic performance, and a prediction model was established. The framework offers theoretical and methodological insights for designing online learning activities and evaluating learning quality. It supports intervening in and assessing college students’ online learning processes and improving learning quality. Also, exploring the relationship helps educators formulate personalized online teaching strategies, improving online education effectiveness and students’ learning experiences.https://www.mdpi.com/2076-328X/15/1/78online learning behavioral engagementevaluation indicatorsDelphi methodanalytic hierarchy processacademic performance |
| spellingShingle | Yonghong Wang Mingzhang Zuo Xiangchun He Zhifeng Wang Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship Behavioral Sciences online learning behavioral engagement evaluation indicators Delphi method analytic hierarchy process academic performance |
| title | Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship |
| title_full | Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship |
| title_fullStr | Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship |
| title_full_unstemmed | Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship |
| title_short | Exploring Students Online Learning Behavioral Engagement in University: Factors, Academic Performance and Their Relationship |
| title_sort | exploring students online learning behavioral engagement in university factors academic performance and their relationship |
| topic | online learning behavioral engagement evaluation indicators Delphi method analytic hierarchy process academic performance |
| url | https://www.mdpi.com/2076-328X/15/1/78 |
| work_keys_str_mv | AT yonghongwang exploringstudentsonlinelearningbehavioralengagementinuniversityfactorsacademicperformanceandtheirrelationship AT mingzhangzuo exploringstudentsonlinelearningbehavioralengagementinuniversityfactorsacademicperformanceandtheirrelationship AT xiangchunhe exploringstudentsonlinelearningbehavioralengagementinuniversityfactorsacademicperformanceandtheirrelationship AT zhifengwang exploringstudentsonlinelearningbehavioralengagementinuniversityfactorsacademicperformanceandtheirrelationship |