昆明医科大学, 第一附属医院, 云南昆明 650000
| 摘 要: | 中国的MBBS教学因为教师及学生基本都为非英语母语,故在教学及学习中都有许多困难,因此,中国的教育工作者尝试使用不同的教学方式来克服这些困难和提高教学质量。我们的研究选择比较目前非常时兴的PBL教学及反转教学在MBBS学生内科学学习中的效果。在2019级学生内科学见习中随机选取2个组共15名学生,第一组学生内分泌章节选用PBL教学、消化章节使用反转教学,第二组学生内分泌章节选用反转教学、消化章节使用PBL教学,在每个章节学习结束时给予问卷打分及阶段小结考试,按学习方式统计阶段考试成绩及问卷分值。结果表明:使用反转教学的教学感受优于PBL教学(p<0.05),同时使用反转教学学习后的阶段小结考试分数高于PBL教学(p<0.05)。在这些同学中,有4位同学在学习时使用了AI参与,发现这4名同学对课程的满意度明显高于平均值(p<0.05),但他们的测试成绩较均值并没有明显的提高,根据研究的结果,我们认为反转教学更较PBL教学在内科学教学中的教学效果更好,使用AI能明显的改善学生对课程的满意度,同时我们思考了以上结论的具体原因,并提出相关改善意见。 |
| 关 键 词: | MBBS; 反转教学; PBL教学; 内科学; 人工智能 |
| DOI: | 10.57237/j.mrf.2024.03.001 |
First Affiliated Hospital, Kunming Medical University, Kunming 650000, China
| Abstract: | MBBS teaching in China faces many difficulties in both teaching and learning due to the fact that teachers and students are mostly non native English speakers. Therefore, educators in China have attempted to use different teaching methods to overcome these difficulties and improve teaching quality. Our research compares the effectiveness of PBL teaching and reverse teaching, which are very popular, in the study of internal medicine for MBBS students. Two groups (15 students) were randomly selected from the 2019 Internship of Internal Medicine for students. In the first group, PBL teaching was used for the endocrine section and PBL teaching was used for the digestion section. In the 2nd group, PBL teaching was used for the endocrine section and PBL teaching was used for the digestion section. At the end of each chapter's study, questionnaire scores and stage summary exams were given, and stage exam scores and questionnaire scores were calculated based on the learning method. The results showed that the teaching experience of using reverse teaching was better than that of PBL teaching (p<0.05), and the stage summary exam score after using reverse teaching was higher than that of PBL teaching (p<0.05). Among these students, four of them used AI to participate in their studies and found that their satisfaction with the course was significantly higher than the average (p<0.05). However, their test scores did not show a significant improvement compared to the average. According to the research results, we believe that reverse teaching has a better teaching effect in internal medicine teaching than PBL teaching, and the use of AI can significantly improve student satisfaction with the course, At the same time, we have considered the specific reasons for the above conclusions and proposed relevant improvement suggestions. |
| Keywords: | MBBS; Reverse Teaching; PBL Teaching; Internal Medicine; AI |
| 1. | 2022年昆明医科大学“教研教改”项目 (2022-JY-Y-063) |
| 2. | 2023年昆明医科大学“教研教改”项目(2023-JY-Y-035) |
| 3. | 2024年昆明医科大学大学生创新训练计划项目 (2024CYD096) |
| [1] | 姜冬梅, 王周凯欣, 颜时姣, 等. 留学生临床医学本科 (MBBS) 教学现状调查与对策 [J]. 基础医学教育, 2014, 16(8): 4. |
| [2] | 冷加燕, 钱震, 钱军,等. MBBS学生血液内科教学体会与方法探讨 [J]. 中国卫生产业, 2020, 17(6): 3. |
| [3] | 吴娟娟, 刘兰. MBBS留学生汉语课堂学习焦虑现况调查及分析——以安徽医科大学为例 [J]. 2021(2017-6): 132-135. |
| [4] | Cheng Y. Comments on "On an Improved Model for the Turbulent PBL" [J]. Journal of the Atmospheric Sciences, 2010, 60. https://doi.org/10.1175/1520-0469(2003). |
| [5] | 张金磊, 王颖, 张宝辉. 翻转课堂教学模式研究 [J]. 远程教育杂志, 2012(4): 6. https://doi.org/10.3969/j.issn.1672-0008.2012.04.005. |
| [6] | 曾贞. 反转教学的特征、实践及问题 [J]. 中国电化教育, 2012(07): 114-117. |
| [7] | 杜海敏. 基于网络的以问题为中心学习联合反转课堂在《运动疗法学》教学改革探究 [J]. 特别健康, 2020,(31): 63-64. |
| [8] | 黄伟祥. PBL设计促进AI教育的深度学习 [J]. 中国信息技术教育, 2020(13): 4. |
| [9] | 何高大, 罗忠民. 人工智能在外语教学中的应用——兼评《Artificial Intelligence in Second Language Learning: Raising Error Awareness》[J]. 外语电化教学, 2008(3): 74-80. https://doi.org/10.3969/j.issn.1001-5795.2008.03.016. |
| [10] | Setiawan G C, Suprihati T, Astutik S. PENERAPAN MODEL PEMBELAJARAN PROBLEM BASED LEARNING (PBL) DISERTAI MEDIA KOMPUTER MAKRO MEDIA FLASH [J]. 2013. |
| [11] | 常淑芳, 朱轶, 华媛媛, 等. 多媒体结合PBL教学在留学生难产教学中的应用 [J]. 中华医学教育探索杂志, 2011, 10(8): 2. https://doi.org/10.3760/cma.j.issn.2095-1485. |
| [12] | 李志元. 人工智能在智能教学系统中的应用 [J]. 工业C: 00206-00206. |
| [13] | 郭荣贾永堂. 人工智能时代大学教学范式再造的依据,方向与进路——基于创造性破坏理论的分析 [J]. 高校教育管理, 2022, 16(1): 72-86. |
| [14] | 申喜凤, 李美婷, 南嘉乐, 等. 医学人工智能发展态势分析及问题浅析 [J]. 科技管理研究, 2023, 43(7): 193-198. |
| [15] | 陈润生. 医疗大数据结合大语言模型的应用展望 [J]. 四川大学学报 (医学版), 2023, 54(5): 855. https://doi.org/10.12182/20230960301. |
| [16] | 张娇燕, 段丹, 郭明月,等. 医药学教育中"形成性评价"教学研究特征分析 [J]. 中国医药导刊, 2022(6): 581-587. |