| dc.description.abstract | For e-learning generation, students are able to obtain their required knowledge and information from online learning platform at anytime and anywhere. In addition to the scores in traditional exam, teachers could use the learning log of online learning platform to analyze their learning situation on this course and try to further improve students’ academic performance. This work applied three questionnaires to measure students′ self-regulated learning, learning strategies and self-efficacy. We also used the online learning platform BookRoll to collect students′ reading logs and analyze two courses with different learning activities to observe that would the applied learning activities impact students′ reading logs, learning skills and academic performance. The study is divided into three main research directions. The first one is correlation analysis, which explores the correlation between academic performance, reading logs, self-adapted learning, learning strategies, and self-efficacy. The second is differential analysis, which explores the difference on academic performance, reading logs, self-adapted learning, learning strategies, and self-efficacy after applying learning activities. The final one explores how to use correlation and differential analysis results to design learning activities for improving academic performance.
The experimental result shows that there are obvious differences in the analysis results of the two courses with different learning activities, and found that although the courses are applied innovative teaching mode with online learning platform, the traditional process of previewing and reviewing is still the key to the academic performance. However, helping students improve their self- regulated learning, learning strategies and self-efficacy, does not enhance the students′ enthusiasm for the use of BoolRoll. Finally, we also found from the experiment that the students′ ability on goal setting in the preparation of the preview and reflection report are important for improving academic performance. This thesis applies data analysis technology, not only analyzes the data of the two courses in detail but also deeply explores the significance of the experimental result. With the result of this work, students can capture their insufficient learning ability, and teachers is able to design learning activities to for improving academic performance in the innovative teaching mode.
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