多模态反馈数据在线教学和项目导入式混合教学模式设计——以程序设计语言为例

Design of Multi-Modal Feedback Data Online Teaching and Project Introduction Hybrid Teaching Mode—Taking Programming Languages for Example

摘要: 作为一门重要的计算机公共基础课程，程序设计语言俨然成了教学改革的热点。但在如何获取学生在线反馈学习效果信息方面的研究较少。因此，文章从解决学生的学习困难出发，提出了“多模态反馈数据在线MOOC + 项目导入式”混合教学模式设计。该学习模式是以社会建构主义理论为基础，一方面利用学生观看视频时的面部表情图像和弹幕文字构成的多模态数据，使用深度学习算法计算出对应时间段学生对课程的感兴趣度和掌握程度等信息，及时呈现给教师，让老师可以做到因材施教，提高整体的教学效果。另一方面课堂采用项目导入式法通过完成一个个项目获取的成就感提高学生的学习兴趣，达到提升学生的整体学习效果的最终目的。

Abstract: As an important computer common basic course, programming language has become a hot topic of teaching reform. However, there are few researches on how to obtain the information of students’ online feedback. Therefore, in order to solve students’ learning difficulties, this paper proposes a hybrid teaching mode design of “multi-modal feedback data online MOOC and project import”. This learning model is based on social constructivism theory. On the one hand, using the multi-modal data composed of facial expression images and the bullet text when students watch videos, the depth learning algorithm is used to calculate the students’ interest and mastery of the course in the corresponding time period, which can be presented to the teacher in time, so that teachers can teach students according to their aptitude and improve the overall teaching effect. On the other hand, project introduction method is adopted in class to improve students’ interest in learning by obtaining a sense of achievement from completing one project after another，so we can achieve the ultimate goal of improving students’ overall learning effect.