Optimizing Classroom Ecology through Learning Analytics to Improve Teaching and Student Engagement

Classroom teaching and students' learning have been widely concerned. To support the implementation of effective classroom teaching, this study examines the current state of instructional practices and student learning by surveying 541 college students. The questionnaire is divided into three main aspects, in which students are asked to assess their learning experience in college: motivations for choosing their major, their learning status, classroom performance, and feedback from teachers. Research results show that the motivation for choosing undergraduate majors positively affects students' learning. However, if teachers do not continue to provide the necessary guidance and high-quality courses to students, they will lose interest in their majors. For freshmen, teachers should be more concerned about their learning status, because they have the lowest adaptability to university learning. In addition, we also find that dumb classroom teaching, performing classroom teaching, still exists, and classroom teaching efficiency is low. Further analysis indicates that the teaching effectiveness of teachers, including teacher-student communication, positive motivation from teachers to students, and the content of their teaching, has a direct effect on students' learning. The low efficiency of classroom teaching is primarily attributed to an underdeveloped and ineffective classroom ecological environment. In the concluding section, this paper proposes a set of targeted strategies to rebuild and enhance the classroom teaching ecology, aiming to foster more effective teaching and meaningful student engagement.

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Publication Details

Journal
Interciencia
Published
2025-01-01
DOI
https://doi.org/10.59671/anvbo
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimizing Classroom Ecology through Learning Analytics to Improve Teaching and Student Engagement

Y Zu, Xiaohan Ren, Syed Zaheer Ud Din
Interciencia
Online Learning and Analytics
article

Optimizing Classroom Ecology through Learning Analytics to Improve Teaching and Student Engagement

Y Zu, Xiaohan Ren, Syed Zaheer Ud Din
article en

Abstract

Classroom teaching and students' learning have been widely concerned. To support the implementation of effective classroom teaching, this study examines the current state of instructional practices and student learning by surveying 541 college students. The questionnaire is divided into three main aspects, in which students are asked to assess their learning experience in college: motivations for choosing their major, their learning status, classroom performance, and feedback from teachers. Research results show that the motivation for choosing undergraduate majors positively affects students' learning. However, if teachers do not continue to provide the necessary guidance and high-quality courses to students, they will lose interest in their majors. For freshmen, teachers should be more concerned about their learning status, because they have the lowest adaptability to university learning. In addition, we also find that dumb classroom teaching, performing classroom teaching, still exists, and classroom teaching efficiency is low. Further analysis indicates that the teaching effectiveness of teachers, including teacher-student communication, positive motivation from teachers to students, and the content of their teaching, has a direct effect on students' learning. The low efficiency of classroom teaching is primarily attributed to an underdeveloped and ineffective classroom ecological environment. In the concluding section, this paper proposes a set of targeted strategies to rebuild and enhance the classroom teaching ecology, aiming to foster more effective teaching and meaningful student engagement.

Interciencia
Qilu University of Technology (CN), Shandong Academy of Sciences (CN)
Qilu University of Technology
Openalex Percentile: Top 88%
Online Learning and Analytics
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Optimizing Classroom Ecology through Learning Analytics to Improve Teaching and Student Engagement — Y Zu, Xiaohan Ren, et al. · Interciencia (2025) | TGRS Research Map | TGRS