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Data Structures in Flipped Classroom: Students' Effort and Preference

机译:翻转课堂中的数据结构:学生的努力和偏好

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Data Structures is a fundamental course in any collegiate Computer Science program. The course is typically conducted with in-class lectures with homework and programming projects in a teacher-centered approach. In this study, we experimented with the flipped classroom model of learning. Students were asked to watch pre-taped lecture videos before class. In addition, worksheets containing questions that were specifically designed to reinforce key concepts and algorithms covered in the lectures were prepared for in-class discussion and practice. Student survey was taken at the 12th week of the course right after the second of three exams. The survey showed that students could quickly adjust to the new model of learning that required more self-discipline from the students. Students also did put in the effort to watch the lecture videos before coming to class. However, students indicated that flipped classroom also required more time and effort on their part, therefore, more than half of the students do not prefer to see other courses also changed to the flipped classroom model. Students' performance in the course (at the end of the semester) will be added to the presentation.
机译:数据结构是任何大学计算机科学课程中的基础课程。该课程通常以教师为中心的课堂授课形式进行,包括家庭作业和编程项目。在这项研究中,我们尝试了翻转课堂学习模型。要求学生在上课前观看预先录制的演讲视频。此外,还准备了包含问题的工作表,这些问题是专门为强化讲义中涵盖的关键概念和算法而设计的,以供课堂讨论和实践使用。在三门考试中的第二门之后,在课程的第12周进行了学生调查。调查显示,学生可以迅速适应新的学习模式,这种学习模式需要学生更多的自律。学生们也确实在上课之前努力观看了讲座视频。但是,学生指出,翻转教室也需要更多的时间和精力,因此,超过一半的学生不愿意看到其他课程也改为翻转教室模式。在课程中(学期末)学生的表现将添加到演示中。

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