基于智能技术的“新工科”研究生学习环境设计研究

Research on the Design of Study Environment for New Engineering Postgraduates Base on the Intelligent Technology

传统的工科研究生培养,学习环境主要包括实验室、产学研结合实践场景等,基于这种认识的学习环境设计与评价,过于重视社会效益而忽视学生个体体验。本研究通过强调学习环境应当与“新工科”研究生培养需求之间动态平衡,分析产业发展需求、交叉融合实践需求、科研发展需求、个人需求中包含的六种主体需求:贡献性、连接性、确定性、增长性、意义性、多样性;通过引入智能技术提供的智能化认知有效功能、智能化情感功能、智能化物理情境功能、智能化社会支持功能,解决“新工科”研究生培养的需求冲突,提出了适用于“新工科”研究生培养的学习环境设计策略。

At present, the learning environment for postgraduates in engineering mainly includes laboratories, practice sites in the context of collaboration involving production, teaching, and research, etc., which may easily lead to over-emphasis on social benefits and neglect of the experience of individual postgraduates in the design and evaluation of learning environment.By emphasizing the dynamic balance between the learning environment and the needs of the “new engineering” postgraduate education, this study analyzes the six main factors embodied in the industrial development demand, integrated interdisciplinary practice demand, scientific research development demand, and individual demand, namely, the demands for contribution, connectivity, certainty, growth, significance and diversity.Based on the analysis, the authors proposes a strategy to design learning environment more suitable for "new engineering" postgraduate education, featuring effective intelligent cognition function, intelligent emotional function, intelligent physical situation function and intelligent social support function provided by intelligent technology, so as to solve the demand conflicts in the education of “new engineering postgraduates.