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The impact of MOOCs on the performance of undergraduate students in digital signal processing

机译:MOOC对大学生在数字信号处理中的表现的影响

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Signal Processing is a core subject in the curriculum of Electronics Engineering at Universidad Industrial de Santander. Poor student performance and low completion rates are an important concern and professors devote great efforts to devise new teaching strategies. In recent years, massive open online courses (MOOC) have emerged as a disruptive form of online learning with attractive features for higher education. However, despite the attention that they have received by the community, the role that MOOCs will play in the scope of higher education is yet to be determined. In particular, previous research has not conclusively shown whether these courses have a positive impact on the performance of students. This paper proposes a methodology in order to assess the impact of MOOCs and their potential to improve the performance of undergraduate students attending a regular class on Digital Signal Processing (DSP). This work first addresses the challenges in the design of materials for MOOCs on DSP. Subsequently, a case-control study is carried out where the study group takes a regular class simultaneously with a MOOC on the subject. The control and study groups are compared in terms of student's performance, as measured by their grades in theoretical exams. Obtained results show a statistically significant improvement on the performance of students of the study group over the control group.
机译:信号处理是桑坦德工业大学电子工程课程的核心课程。学生表现差和结业率低是一个重要的问题,教授们花大力气设计了新的教学策略。近年来,大规模开放式在线课程(MOOC)成为一种破坏性的在线学习形式,具有高等教育的吸引力。但是,尽管MOOC在社区中受到了关注,但MOOC在高等教育领域将扮演的角色还有待确定。特别是,以前的研究尚未得出结论,这些课程是否对学生的表现有积极影响。本文提出了一种方法,以评估MOOC的影响及其对提高参加常规数字信号处理(DSP)课程的本科生表现的潜力。这项工作首先解决了DSP上MOOC的材料设计中的挑战。随后,进行了一项病例对照研究,其中研究组在该主题上同时上了普通课和MOOC。对照组和研究组根据学生的表现进行比较,这是根据他们在理论考试中的成绩来衡量的。获得的结果表明,与对照组相比,研究组学生的学习成绩在统计学上有显着提高。

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