Research on Flipped Classroom Teaching Model and Learning Evaluation Based on Big Data

This article discusses how to use information technology to reform the curriculum system, teaching content, and methods. Relying on the online open course of "Civil Engineering Materials", it uses the BOPPPS teaching model + Learning App auxiliary tool to scientifically design the flipped classroom to ensure the teaching effect of the online and offline mixed course. By utilizing the big data from the Xueyin Online learning platform and analyzing the learning data through Python programming, the results show that the flipped classroom mixed learning model has a positive effect on the overall learning performance of students. Feedback from data allows for timely understanding of student learning conditions and adjustment of student learning tasks, enhancing students' initiative and enthusiasm for learning. The reform of the assessment method ensures that the comprehensive evaluation results can scientifically and reasonably reflect the real learning situation of students, which has important theoretical value and practical significance for exploring the construction and application of new teaching models.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1145/3708394.3708423
Primary Topic
Digital Media and Philosophy
Type
article
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article

Research on Flipped Classroom Teaching Model and Learning Evaluation Based on Big Data

Shan Deng, Lingxue Li, Xueping Li
Digital Media and Philosophy
article

Research on Flipped Classroom Teaching Model and Learning Evaluation Based on Big Data

Shan Deng, Lingxue Li, Xueping Li
article en

Abstract

This article discusses how to use information technology to reform the curriculum system, teaching content, and methods. Relying on the online open course of "Civil Engineering Materials", it uses the BOPPPS teaching model + Learning App auxiliary tool to scientifically design the flipped classroom to ensure the teaching effect of the online and offline mixed course. By utilizing the big data from the Xueyin Online learning platform and analyzing the learning data through Python programming, the results show that the flipped classroom mixed learning model has a positive effect on the overall learning performance of students. Feedback from data allows for timely understanding of student learning conditions and adjustment of student learning tasks, enhancing students' initiative and enthusiasm for learning. The reform of the assessment method ensures that the comprehensive evaluation results can scientifically and reasonably reflect the real learning situation of students, which has important theoretical value and practical significance for exploring the construction and application of new teaching models.

Guangdong Polytechnic of Science and Technology (CN)
Quality Education
Openalex Percentile: Top 73%
Digital Media and Philosophy
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Research on Flipped Classroom Teaching Model and Learning Evaluation Based on Big Data — Shan Deng, Lingxue Li, et al. · (2024) | TGRS Research Map | TGRS