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技能领域深度学习评价核心指标构建与量表开发研究——以飞机维修虚拟仿真学习为例

Research on Constructing Key Index and Scale Development for Deep Learning Evaluation in Skill Field——Taking Virtual Simulation Learning in Aircraft Maintenance as an Example

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【作者】 穆肃高春瑾田巨

【Author】 MU Su;GAO Chun-jin;TIAN Ju;Education Artificial Intelligence Research Institute, South China Normal University;Aircraft Maintenance Engineering College of Guangzhou Civil Aviation Vocational and Technical College;

【通讯作者】 高春瑾;

【机构】 华南师范大学教育人工智能研究院广州民航职业技术学院飞机维修工程学院

【摘要】 学生主动、有深度的学习有利于促进职业技能提升。教学质量评价是职业技能教学的重要一环,深度学习理论可为技术支持下的专业技能教学与评价提供理论支持和实践指导。本研究以飞机维修虚拟仿真教学为例,采用专家访谈法和德尔菲专家咨询法,在“认知—行为—情感”维度下构建了飞机维修技能学习中指向深度学习的核心评价指标体系,包括迁移应用、分析判断、主动协作学习、批判反思、产生持久兴趣和内化职业价值观。在借鉴与深度学习相关的成熟量表基础上,结合飞机维修人员的能力要求,重新设计量表题项。信效度检验的结果显示,该量表具有较好的信度和效度,可用于后续教学实践。

【Abstract】 Students’ proactive and deep learning facilitates their professional skill improvement,and teaching quality evaluation is an important component of vocational skills teaching. Deep learning theory can support theoretically and practically technology-supported professional skill teaching and evaluation. This study takes the virtual simulation teaching of Aircraft Maintenance as an example, and uses methods like expert interview and Delphi expert consultation to help construct a key evaluation index system for deep-learning-oriented aircraft maintenance skill learning, which is built on the cognitionbehavior-emotion framework, including transfer application, analytical judgment, active collaborative learning, critical reflection, generating lasting interest, and internalizing professional values. This study then reviews other deep-learning related scales, and the ability requirements of aircraft maintenance personnel, and redesigns the scale items. The results of reliability and validity tests show that the scale is good for for subsequent teaching practices.

【基金】 2022年教育部高等学校科学研究发展中心《虚拟仿真技术在职业教育教学中的创新应用》专项课题“国家级虚拟仿真实训中心飞机机电设备维修专业指向深度学习的教学设计与效果评价研究”(项目编号:ZJXF2022025)
  • 【文献出处】 广州开放大学学报 ,Journal of Guangzhou Open University , 编辑部邮箱 ,2024年02期
  • 【分类号】G712;V267-4
  • 【下载频次】28
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