Education Research and Development is an international, peer-reviewed open access journal dedicated to advancing research the field of education. The journal provides a rapid publication process to ensure wide dissemination of high-quality articles to scientists, professionals, and interested individuals worldwide. Our goal is to serve as an efficient, reliable, and trusted platform for scholars and readers, publishing cutting-edge research in the field.
Abstract: OBJECTIVE: Test and evaluate the teaching ability of ChatGPT in Traditional Chinese Medicine majors in higher education. METHODS: Using teacher ethics, professional knowledge and teaching ability, teaching design ability, heuristic teaching ability, personalized teaching ability, error correction ability, teaching evaluation ability, and fairness as evaluation indicators, 1940 Q&A sessions are conducted with ChatGPT and then calculate the accuracy and similarity of ChatGPT's output answers. RESULTS: ChatGPT has shown excellent teacher ethics and good personalized teaching ability. However, it does not yet possess the ability to teach traditional Chinese medicine professional knowledge, according to the unsatisfactory test results of "2023 National Postgraduate Entrance Examination TCM Comprehensive Test Paper". The teaching design ability, error correction ability, teaching evaluation ability and heuristic teaching ability in the field of traditional Chinese medicine are all relatively inadequate, based on the corresponding tests. This study also found that the similarity of ChatGPT's responses was not high, with an average similarity of only 61% for all questions, indicating significant differences in textual descriptions when different students ask the same question. This result suggests a certain degree of unfairness in ChatGPT's responses. Misinformation is also found frequently in the responds of ChatGPT. CONCLUSION: ChatGPT is still lack of teaching ability in traditional Chinese medicine majors in higher education, and we should be vigilant against fairness and misinformation.Abstract: OBJECTIVE: Test and evaluate the teaching ability of ChatGPT in Traditional Chinese Medicine majors in higher education. METHODS: Using teacher ethics, professional knowledge and teaching ability, teaching design ability, heuristic teaching ability, personalized teaching ability, error correction ability, teaching evaluation ability, and fairness a...Learn More
Abstract: In response to the prevalent challenges in Python programming education, including the intricate nature of knowledge points, diminished student engagement, and suboptimal programming proficiency, this research introduces a goal-oriented, problem-based pedagogical framework underpinned by constructivist principles. The study meticulously designs targeted problems that are intricately aligned with the curriculum, deployed at strategic intervals before, during, and after class sessions. These problems are crafted to bolster students' initiative, foster enthusiasm, and amplify their sense of challenge. The pedagogical strategy is further enriched by integrating focused discussions on these problems, in-depth analysis of pivotal knowledge points, and interactive extended dialogues, thereby rendering the teaching process more dynamic and captivating for learners. This methodology is engineered to ignite students' interest in the subject matter and to galvanize their drive to tackle problems, with the ultimate objective of nurturing and enhancing their capacity to autonomously devise programs that address practical issues. The efficacy of this approach has been substantiated through two cycles of teaching practice, yielding outcomes that are deemed to be highly satisfactory. The results underscore the potential of this model to revolutionize Python programming instruction by making it more student-centered, interactive, and aligned with real-world problem-solving, thereby equipping students with the skills necessary to navigate the complexities of programming in a rapidly evolving digital landscape.Abstract: In response to the prevalent challenges in Python programming education, including the intricate nature of knowledge points, diminished student engagement, and suboptimal programming proficiency, this research introduces a goal-oriented, problem-based pedagogical framework underpinned by constructivist principles. The study meticulously designs tar...Learn More
