面向智慧课堂的三位一体化辅助学习平台

Learning Assistant Platform Integrating Three Key Elements for Smart Class

教学中,由于知识点间相互联系,随着疑惑知识点增多,学生听课的效率降低,及时为学生答疑解惑至关重要。针对此问题,考虑学生对知识理解与课堂专注度、教师授课水平、知识点难易程度之间的关联性,利用深度学习技术智能分析课堂三要素,从多维角度生成学情分析一体化数据。同时由于互联网学习资源冗余、部分内容缺乏趣味性,基于学生习惯和兴趣,将学习资源风格化处理成学生乐于接受的形式,以满足不同学生的学习需求。实践应用结果表明,课堂上人脸识别、文字识别的准确率分别为99%与92%,能够满足项目需求。其中,学生四个评估指标中,学生满意率为83.4%,表明该平台能够及时提供针对性的答疑解惑,便于学生更轻松主动地学习。

In educational environments,as knowledge points are interrelated,a bunch of negative effects emerges without timely revi⁃sion.Confusions will be accumulated and learning efficiency gets lower,so it is essential for student to solve their questions in time.Therefore analyze three key elements by up-to-date AI and deep learning technology,fully considering the subtle impact on knowl⁃edge digestion subjected to students’concentration,teaching quality and knowledge comprehension hardness.Integrating the implica⁃tion of the three key elements above,self learning materials are generated and recommended considering students’personality,inter⁃ests and habits,so as to acquire the knowledge efficiently and effectively through stylization.The experimental results show that the ac⁃curacy of text recognition is up to 92%and face recognition reaches 99%,which meet project requirements.Through survey in our uni⁃versity after tentative application of our platform,the average satisfaction rate is up to 83.4%.Students thought that the recommended materials were in accordance with their confusions and easy to accept.