Development of personalised learning model for dental students through machine learning application

• 主要な著者: Shoaib, Lily Azura, Sazali, Amin Hakim, Idris, Norisma, Safii, Syarida Hasnur, Hussin, Ruhaya
• フォーマット: Proceeding Paper
• 言語: English
• 出版事項: Universiti Putra Malaysia 2022
• 主題: BF Psychology; BF636 Applied psychology; L Education (General); LB2300 Higher Education; RK Dentistry; T Technology (General)
• オンライン･アクセス: http://irep.iium.edu.my/106061/1/IUCEL2022%20Abstract%20Book.pdf; http://irep.iium.edu.my/106061/; http://iucel2022.upm.edu.my/

Personalisation of learning through integration of advanced technologies aim to understand the dental students’ learning styles and strategies. Modified index of Learning Styles based on index of learning style and Felder Solomon Learning Model was used to identify students’ learning style. A machin...