摘要
人工智能时代下,高职院校智慧课堂的核心架构在于全流程数字化教学模式,构建逻辑强调打造全资源互动化教学平台,主流价值体现在塑造全周期多元化教学课堂。文章设计问卷对人工智能时代下高职院校智慧课堂现状进行调查,得到30项具体评价指标。经过信效度检验后,从教学准备、教学环境、教学效果、教学能力、信息素养、课堂互动、课堂调控和课堂适应性8个方面着手,构建人工智能下高职院校智慧课堂综合评价指标体系。据此,提出立足深入应用学习行为数据,提升教学效果;加速场景驱动实践探索,强化课堂调控;构建多媒体培训平台,加强课堂互动多维评价体系应用策略,为高职院校智慧课堂建设与人工智能技术加速融合注入动能。
In the era of artificial intelligence,the core architecture of smart classrooms in vocational colleges lies in the full process digital teaching mode.The construction logic emphasizes the creation of a full resource interactive teaching platform,and the mainstream value is reflected in shaping a diversified teaching classroom throughout the entire cycle.The article designs a questionnaire to investigate the current situation of smart classrooms in vocational colleges in the era of artificial intelligence,and obtains 30 specific evaluation indicators.After conducting reliability and validity tests,a comprehensive evaluation index system for smart classrooms in vocational colleges is constructed from eight aspects:teaching preparation,teaching environment,teaching effectiveness,teaching ability,information literacy,classroom interaction,classroom regulation,and classroom adaptability in the era of artificial intelligence.Based on this,it is proposed to deepen the application of learning behavior data to improve teaching effectiveness;aclelerate scenario driven practical exploration to strengthen classroom regulation;build a multimedia training platform and strengthen the application strategy of a multi-dimensional evaluation system for classroom interaction,so as to inject momentum into the accelerated integration of smart classroom construction and artificial intelligence technology in vocational colleges.
作者
周建军
ZHOU Jian-jun(Jiujiang Vocational University,Jiujiang Jiangxi 332000)
出处
《潍坊工程职业学院学报》
2024年第4期47-56,共10页
Journal of Weifang Engineering Vocational College
基金
江西省教育厅科技课题“基于人工神经网络的教学增值评价技术研究”(GJJ213905)。
关键词
人工智能
高职院校
智慧课堂
评价体系
应用策略
artificial intelligence
higher vocational colleges
smart classroom
evaluation system
application strategy