生成式多媒体课件赋能教学准备的效能评价

Performance Evaluation of Enabling Teaching Preparation through Generative Multimedia Courseware

摘要: “人工智能 + 教育”时代，生成式人工智能(GenAI)技术赋能教师教学的效能问题备受关注，涉及效率和效果两个方面。为系统评估生成式多媒体课件(GenPPT)赋能教学准备的效能，本研究以师范生为研究对象，构建“平台–课件”二维评价框架，通过GenPPT平台效率与生成课件效果双维度展开实证分析。研究发现：在平台赋能维度，GenPPT平台显著提升了教学准备的效率与便捷性；在课件赋能维度，GenPPT赋能教学准备的效果与质量仍有待提升；就用户体验而言，平台与课件的运行均表现出良好的流畅性。基于此，本研究提出丰富底层资源、优化技术支持以及促进人机协同发展三重优化路径，以期有效提升GenPPT赋能教学准备的效能。

Abstract: In the era of “Artificial Intelligence + Education”, the performance of Generative Artificial Intelligence (GenAI) in empowering teachers’ instructional practice—encompassing both efficiency and effect—is attracting significant attention. To systematically evaluate the performance of generative multimedia courseware (focus on GenPPT) in empowering instructional preparation, this study focuses on normal university students as research subjects and constructs a two-dimensional “platform-courseware” evaluation framework. It conducts empirical analysis through dual dimensions: the operational efficiency of the GenPPT platform and the pedagogical effect of the generated courseware. Research findings indicate that in terms of platform empowerment, the GenPPT platform significantly enhances the efficiency and convenience of instructional preparation; however, in the aspect of courseware empowerment, the effect and quality of GenPPT in supporting instructional preparation still require improvement; in user experience, both the platform and courseware demonstrate strong operational fluidity. Based on these insights, the study proposes threefold optimization approach encompassing resource base enrichment, technical support enhancement, and human-AI collaboration advancement, aiming to effectively improve GenPPT’s performance in empowering instructional preparation.