DESIGNING REAL-WORLD STATISTICS PROBLEMS ON CENTRAL TENDENCY OF UNGROUPED DATA USING CHATGPT 3.5

Authors

  • Truong Huu Hung Chu Van An Lower Secondary School, Hanoi city, Vietnam
  • Le Thuy Dieu Faculty of Mathematics and Information Technology, Hanoi National University of Education, Hanoi city, Vietnam

DOI:

https://doi.org/10.18173/2354-1075.2024-0137

Keywords:

Statistics, Grade 10, central tendency of ungrouped data, ChatGPT, real-world mathematics problems

Abstract

Statistics - Probability stands as one of the three fundamental strands within the new Vietnamese Mathematics General Education Curriculum (2018). This development significantly expands the scope of teaching and learning opportunities in the realm of practical mathematics as the application of Statistics in everyday life is an ever-present reality that touches various facets of society, especially in the contemporary data-driven landscape. The birth of ChatGPT has conferred numerous benefits upon educators, one of which is streamlining the lesson preparation process. Through a structured procedure, real-world problem design is guided by a series of techniques aimed at enhancing question quality. The research method involves the iterative refinement of questions and their alignment with cognitive learning levels, culminating in a mini-test created using ChatGPT. This structured approach demonstrates the potential for AI to aid in educational content development, particularly in the domain of statistical problem generation.

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References

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Published

2024-12-27

Issue

Section

Educational Sciences: Natural Science

How to Cite

Huu Hung, T. and Thuy Dieu, L. (2024) “DESIGNING REAL-WORLD STATISTICS PROBLEMS ON CENTRAL TENDENCY OF UNGROUPED DATA USING CHATGPT 3.5”, Journal of Science Educational Science, 69(5B), pp. 83–98. doi:10.18173/2354-1075.2024-0137.

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