基于MES和BOPPPS团体心理训练教学及能力考核模式的实践探索
Exploration and practice of group psychological training teaching and competency assessment model based on MES and BOPPPS
张晓琳 1王佳 2贺英 3张晶轩 2杨国愉2
作者信息
- 1. 陆军军医大学教学考评中心,重庆 400038
- 2. 陆军军医大学医学心理系,重庆 400038
- 3. 陆军军医大学第二附属医院医学心理科,重庆 400037
- 折叠
摘要
团体心理训练近年来已经成为各高等院校心理工作者必须掌握的重要技能之一,而其教学培训模式尚存在课程内容体系不够合理、自主实践性不足、技能教学能力考核欠缺等问题.本研究以模块式技能培训(modules of employable skills,MES)为理论基础,构建了团体心理训练核心的课程教学内容和技能模块,并按照BOPPPS教学模式开展"体验导入—理论及研讨—实践教学及督导—效果评估和总结"的教学实践探索,取得较好的教学效果,学员在理论的针对性运用、方案设计和实操技能上都取得了客观进步,主观自我满意度评价高.根据教学实践中存在的问题,将在模块优化、教学实施手段创新、能力考核标准细化和加强与医学教育整体融合上进一步完善,以更好地适应高校心理工作的发展需求.
Abstract
In recent years,group psychological training has become one of the most important skills that must be mastered by psychological workers in colleges and universities.However,there are problems with its teaching models,such as unreasonable course content,insufficient autonomous practice,and the lack of teaching competency assessment.Based on the theory of modules of employable skills(MES),we have constructed the core modules of group psychological training on teaching course content and skills,and in accordance with the BOPPPS teaching model,we have achieved satisfying teaching effects though the teaching practice of"bridge-in-theory and discussion-teaching practice and supervision-effectiveness assessment and summarization",in which the trainees have made objective progress in theory application,scheme design,and skill practice,with a high degree of subjective self-satisfaction.According to the problems found in the teaching practice,we will further improve the model by optimizing the modules,innovating teaching implementation methods,refining competency assessment standards,and strengthen the overall integration with medical education in order to better meet the needs of the development of psychological service in colleges and universities.
关键词
团体心理训练/MES/BOPPPS/教学模式/能力考核Key words
Group psychological training/MES/BOPPPS/Teaching model/Competency assessment引用本文复制引用
基金项目
陆军军医大学"苗圃人才"项目(2019505)
出版年
2024
NETL
NSTL
万方数据