Design of Knowledge Flow According to the Approach of Self-Regulation Learning for Teaching Maths on Chatbot
Journal Title: International Journal of Current Science Research and Review - Year 2023, Vol 6, Issue 12
Abstract
Each student has different skills, interests, and learning paces in a classroom. If each student has a personal tutor to support learning according to their ability, it will improve the quality of teaching and no student will be left behind. In reality, no school has enough teachers to support individual learning, but each teacher has to handle many students in the same class. Therefore, an AI Chatbot that acts as a “virtual teacher” next to a real teacher can do that. AI Chatbot can support individual students in a friendly, interesting environment and provide knowledge depending on their cognitive level. Learning with AI Chatbot also helps students feel more interested and motivated with new learning methods. Instead of teachers providing information and knowledge for students to remember and apply, AI Chatbot will help learners build and create their knowledge through interactions and experiences. Besides providing answers to learners’ queries, Chatbots can provide step-by-step instructions to achieve teaching goals for specific lessons. In this article, the authors based on the applications of AI Chatbot in teaching to present a teaching scenario using AI Chatbot to teach mathematics with a self-regulated learning orientation for primary school students. Specifically, the authors have built a scenario for the “Millimeter” lesson in the Mathematics, 3rd Grade according to three phases of self-regulated learning: forethought, performance and self-reflection.
Authors and Affiliations
Nguyen Thi Hoai Nam, Nguyen Thi Huong Giang,
Keywords
Related Articles
- EP ID EP725563
- DOI 10.47191/ijcsrr/V6-i12-59
- Views 43
- Downloads 0
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