ChatGPT时代生物化学课堂教学融入科研训练的探索

Exploration on the integration of scientific research training into biochemistry classroom teaching in the era ChatGPT

自ChatGPT等新一代人工智能技术的出现以来,医学教育领域面临着新的挑战和机遇。传统的医学教学方法和考核方式已不再适应时代的需求,需要重大改革以培养更具科研创新能力和科学素养的医学人才。文章探讨了如何在医学生物化学课程中融入科研训练,以提高学生的科研能力和素养:首先,强调提高学生的专业英语阅读能力,引导他们从英文文献中获取前沿科学信息;其次,展示了如何在教学中引导学生培养科学思维方式,从而使他们能够更好地应对科学研究中的挑战;再次,讨论了如何在教学中教授科学实验方法,并强调了实验细节的重要性;第四,将思政教育与医学教育相结合,帮助学生建立科学认知,培养他们的科研道德和抗挫折能力;最后,提出改革考核方式的建议,强调减少事实性知识的考核,更注重学生的分析和应用能力。综合来看,文章提出的教学方法是一种有前景的尝试,通过结合科研元素,有望培养更具创新潜力的医学专业人才,为医疗和健康领域提供更高水平的专业人才,以更好地满足医学教育的需求。

Since the emergence of new-generation artificial intelligence technologies like ChatGPT,medical education has been faced with new challenges and opportunities.Traditional teaching methods and assessment methods fail to meet the new requirements,neces-sitating significant teaching reforms to develop medical professionals with better innovation abilities and sci entific literacy.This article explores strategies of int egrating scientific research training into the course of medical biochemistry to enhance students’scientific research capabilities and literacy.Firstly,the students need to improve their English reading skills to obtain cutting-edge scientific information from English literature.Secondly,the teachers help students develop a scientific mindset,enabling them to better confront challenges in scientific research.Additionally,the teachers teach scientific research methods and highlight the importance of experi-mental details.The teachers also combine ideological and political education with medical education to help students establish scientific cognition,cultivate research integrity,and develop resilience against setbacks.Lastly,the article proposes reforms in assessment meth-ods,emphasizing a reduction in fact-based knowledge assessment and a greater focus on students’analytical and application abilities.In summary,integration of scientific research training into teaching is a promising approach,which can help cultiv ate innovative medi-cal professionals for the healtheare and medical fields.In the future,more AI-based educational methods are expected to emerge to better meet the needs of medical educat ion.