Ứng dụng mô hình ngôn ngữ lớn (LLMSs) trong việc phát triển năng lực tự học, tự nghiên cứu cho sinh viên khi học Xác suất thống kê

  • Nguyễn Điệp
  • Huỳnh Thái Duy Phương
Từ khóa: Large language models, artificial intelligence, Statistics Probability, self-study capacity, student

Tóm tắt

This article studies the application of large language models (LLMSs) such as ChatGPT, Claude AI in developing students' self-study and self-research capacity when studying the Statistics Probability course. Large language models (LLMSs) support solving exercises and questions and help students develop critical thinking and discover new knowledge through interacting with the system. By comparing the ability to solve different types of exercises, the article proposes effective self-study processes, from preparing before class to doing exercises after studying. Research results show that LLMSs not only help improve self-study ability but also support students in correcting mistakes during the math problem solving process, contributing to improving students' learning efficiency in this module.

Tác giả

Nguyễn Điệp

ThS. Khoa Khoa học Cơ bản, Trường Cao đẳng Công thương TP Hồ Chí Minh

Huỳnh Thái Duy Phương

ThS. Khoa Khoa học Cơ bản, Trường Cao đẳng Công thương TP Hồ Chí Minh

điểm /   đánh giá
Phát hành ngày
2024-11-07
Chuyên mục
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