一個應用人工智慧的適性化學習系統架構

An Adaptive Learning System Architecture Using Artificial Intelligence

高立仁(Li-Jen Kao) ； 嚴竹華(Chu-Hwa Yan) ； 蕭曼蓉(Mann-Jung Hsiao)

《中華創新發展期刊》 5卷3期 (2021/10) Pp. 31-39

https://doi.org/10.30141/JID.202110_5(3).0003

摘要

近年來，人工智慧（Artificial Intelligence, AI）的應用領域已席捲全球各個產業，改變我們生活也已成既定的事實，例如工業4.0、智慧城市、智慧商務、新零售、以及智能家居等等，範圍從疾病防治到應對暴力，從工廠生產到預防飢荒，其影響層面可謂無所不在，其中自動駕駛甚至與我們未來的生活息息相關，將大幅改變我們的生活習慣。對從事教育的教師而言，如何善用人工智慧於日常教學活動，減少教師的體力負荷？是否能借重人工智慧洞悉學生的學習瓶頸？藉以調整教學策略、內容和方法以改善學生學習成效，應該是一個教師熱切期待的應用領域。本研究的主要目的即是探討如何應用人工智慧的技術建構一個適性化學習系統，藉由人工智慧中辨識和預測技術，以提供適性化之教學活動，進而強化學生的思考能力，以提升學生的學習效果。

關鍵字

人工智慧教育 ； 適性化教學 ； 適性化學習 ； 大數據分析 ； 物聯網 ； 聊天機器人

並列摘要

In recent years, the application fields of Artificial Intelligence (AI) have swept across all industry around the world, and the change on our daily liveshas become a generally acknowledged fact, such as Industry 4.0, Smart City, Intelligent Commerce, New Retail, and Smart Home, etc. The impact ranges from disease prevention to response to violence, from factory production to famine prevention, and its impact is said to be ubiquitous. Among them, autopilot is even closely related to our future lives and will greatly change our living habits. For teachers devoted to education, how to make good use of Artificial Intelligence in daily teaching activities to reduce physical load of teachers? Can Artificial Intelligence be used to gain insight into the learning bottleneck of students? By adjusting teaching strategies, content and methods to improve student learning effectiveness, it should be an application field that teachers are eagerly looking forward to. The main purpose of this research is to explore how to use Artificial Intelligence technology to construct an adaptive learning system. Through recognizing and predicting technologies in Artificial Intelligence, this system can provide adaptive teaching activities, and then strengthen students' thinking ability to enhance their learning effect.

並列關鍵字

Artificial intelligence ； adaptive teaching ； adaptive learning ； big data analysis ； Internet of things ； chatbot