创新创业理论研究与实践 ›› 2023, Vol. 6 ›› Issue (24): 16-22.

• 理论研究 • 上一篇    下一篇

虚拟仿真教学环境下V创课程学生学习行为优化研究

陈丽燕1, 戴晓震2, 鲍梦琦1, 黄伟宇1   

  1. 1.温州商学院 管理学院,浙江温州 325035;
    2.温州商学院 教育督导与评估中心,浙江温州 325035
  • 发布日期:2024-04-15
  • 通讯作者: 戴晓震(1981—),男,浙江金华人,硕士研究生,教授,研究方向:创新创业教育,电子邮箱:dxz@wzbc.edu.cn。
  • 作者简介:陈丽燕(1989—),女,浙江台州人,硕士研究生,讲师,研究方向:创新创业教育。
  • 基金资助:
    2022年浙江省教育科学规划课题“虚拟仿真教学环境下学生学习行为研究——以V创课程为例”(2022SCG198); 浙江省2022年省级课程思政教学项目“建设课程思政示范课程‘V创经营决策'”(浙教函〔2022〕51号-413); 浙江省高等教育学会2022年度高等教育研究重点课题“基于社会主义核心价值观的高校创业实践教学课程思政研究”(KT2022020); 2022年度温州商学院教学建设项目“V创经营决策实训”(温商院行政〔2022〕124号-4); 2020年度温州商学院校级思政专项课题“大学生诚信价值观在V创课程中的培育途径与提升策略研究”(2020xjsz002); 2022年温州商学院校级教育教学改革项目“V创课程中学生冲突问题预防机制研究”(2022XJJY14)

Research on Learning Behavior Optimization of VBSE Innovation & Entrepreneurship and Management Decision-Making Course in Virtual Simulation Teaching Environment

CHEN Liyan1, DAI Xiaozhen2, BAO Mengqi1, HUANG Weiyu1   

  1. 1. School of Management, Wenzhou Business College, Wenzhou Zhejiang, 325035, China;
    2. Education Supervision and Evaluation Center, Wenzhou Business College, Wenzhou Zhejiang, 325035, China
  • Published:2024-04-15

摘要: 虚拟仿真教学环境下的V创课程向全校所有专业开放,每批次组合的班级专业跨度大,学生的知识结构和学习行为差异非常大。该文提炼和界定虚拟仿真教学环境下V创课程的学生学习行为,从线上线下混合式教学中探讨团队学习行为和个体学习行为,并选取近年涵盖温州商学院所有专业大类的四个本科批次作为研究对象进行数据收集和学习成效分析,基于此,提出优化V创课程学生学习行为的可行策略,具体包括:一是把握学情前测,注意专业差异;二是激发学生学习动机,融入思政元素;三是加强情感交互,丰富课程活动;四是提升学生自我调控能力,加强团队管控;五是强调评价反馈,提供学习支持。

关键词: 学习行为, 学习分析, 虚拟仿真, 团队学习行为, 实践教学, 创新创业教育

Abstract: V innovation & entrepreneurship and management decision-making course in the virtual simulation teaching environment, is open to all majors in our college. Each batch is combined by different majors and different classes. Therefore, there are great differences in knowledge structure and learning behavior among students in combination classes. This paper identifies and defines the students'learning behavior of V innovation & entrepreneurship and management decision-making course in virtual simulation teaching environment, and discusses the team learning behavior and individual learning behavior. Four batches covering all major categories of our university in recent years were selected as the research objects for data collection and learning effectiveness analysis. Then, this paper proposes feasible strategies to optimize the learning behavior, including the following five aspects: First, grasp the learning situation pre-test and pay attention to the differences of majors; Second, stimulate students'learning motivation and integrate ideological & political elements; Third, strengthen the emotional interaction and enrich curriculum activities; Fourth, enhance students'self-regulation and strengthen team management & control; Fifth, emphasis on evaluation feedback and provide learning support.

Key words: Learning behavior, Learning analysis, Virtual simulation, Team learning behavior, Practice teaching, Innovation & entrepreneurship education;

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