COVID-19疫情加速了數位學習平台的普及與使用。但對於學生在數位學習平台上的學習行為，多數的評量仍聚焦於學生的學習產出，但對於學習歷程中的資訊，則較少被關注。本課程主要介紹目前常見的數位學習平台（例如因材網、均一平台、TronClass課程平台），並探討如何從平台所記錄的學習行為資料檔來評量學生學習歷程與學習成效。
完成課程後，學生將能夠使用教育資料探勘技術演算法分析數位學習平台的學習軌跡資料，也能識別出數位學習過程中學生的學習行為模式並分析其特徵，並從數位學習平台的學習軌跡分析現有教育問題、教學模式或策略的缺點。
The COVID-19 epidemic has accelerated the popularization and use of digital learning platforms. However, for students' learning behavior on the digital learning platform, most of the evaluations still focus on students' learning output, but for information in the learning process, they are less concerned. This course mainly introduces currently common digital learning platforms (such as the network based on materials, uniform platform, and TronClass course platform), and explores how to evaluate student learning experience and learning results from the learning behavior data recorded on the platform.
After completing the course, students will be able to use educational data exploration technology algorithms to analyze the learning data of the digital learning platform, and can also identify the learning behavior patterns of students during the digital learning process and analyze their characteristics, and analyze the existing learning data from the digital learning platform. Disadvantages of educational problems, teaching models or strategies.
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| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 作業作業 Action |
40 | |
| 期中報告期中報告 Midterm Report |
20 | |
| 期末報告期末報告 Final report |
20 | |
| 課堂參與課堂參與 Class Participation |
20 |
