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

Application of the Analytical Hierarchy Process (AHP) for Innovative Technological Projects Evaluation and Prioritization in an FMCG Company

The FMCG industry is known for its dynamic and competitive nature. To thrive in this business sector, companies must possess the ability to swiftly adapt to the market demand changes, continuously enhance operational eff...

Numerical Simulation in Gas Hydrate Formation

The formation of gas hydrates is an undesirable process in the natural gas transportation industry, ensuring the blockage of pipelines and especially the reduction of transport flows and the increase of working pressure....

Product Diversification to Increase Consumer Satisfaction: A Development Research Study

This research aims to develop Banana Royals business products through product diversification in order to increase consumer satisfaction. The method used in this research is the SCAMPER method, which will help in generat...

The Influence of Internship Experience on the Economic Welfare of Graduates at The School of Universe, Indonesia

This research investigates the influence of internship experiences on the economic welfare of graduates from The School of Universe, Indonesia. Internships bridge academic knowledge and practical application, providing s...

Barriers for Business to Engage in Carbon Trading Through the Indonesian Carbon Exchange: An Analytical Hierarchy Process Approach

This study investigates the barriers faced by businesses in participating in carbon trading through the Indonesia Carbon Exchange (IDXCarbon). Although Indonesia has committed to reduce greenhouse gas emissions by 31.89%...

Download PDF file
  • EP ID EP725563
  • DOI 10.47191/ijcsrr/V6-i12-59
  • Views 62
  • Downloads 0

How To Cite

Nguyen Thi Hoai Nam, Nguyen Thi Huong Giang, (2023). Design of Knowledge Flow According to the Approach of Self-Regulation Learning for Teaching Maths on Chatbot. International Journal of Current Science Research and Review, 6(12), -. https://europub.co.uk/articles/-A-725563