基於學習者能力之適性化英語學習影片推薦系統研究

A Study of Adaptive English Learning Video Recommendation System Based on Learner's Ability

吳肇銘(Chao-Ming Wu) ； 李怡瑩(Yi-Ying Lee)

《先進工程學刊》 15卷2期 (2020/07) Pp. 53-60

摘要

隨著網路的發展，線上影片學習資源越趨豐富，不過要從眾多學習影片中挑選出適合自己程度的教材，對於使用者來說往往是一大難題。因此，本研究設計出一個基於學習者能力的適性化英語學習影片推薦系統，藉由使用者學習過程所收藏的單字，來判定使用者的英文程度，並採用輸入假設理論、搭配模糊理論計算，挑選出適合學習者程度的影片予以推薦。根據實驗結果證實，本研究設計之推薦系統，可達到良好的適性化推薦效果，並提升學習成效。

關鍵字

數位學習 ； 適性化學習 ； 推薦系統 ； 模糊理論 ； 輸入假設理論

並列摘要

With the development of the Internet, online video learning resources are becoming more abundant. However, it is often a problem for users to select learning materials suitable for their own level from many learning videos. Therefore, this study designed an adaptive English learning video recommendation system to recommend the videos suitable for the learner's level based on the learner's English ability through the words collected by the user's learning process via input hypothesis theory and fuzzy theory. According to the experimental results, it is proved that the recommendation system designed in this study can achieve a good adaptive recommendation effect and improve learning effectiveness.

並列關鍵字

e-learning ； adaptive learning ； recommendation system ； fuzzy theory ； input hypothesis model

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