首页> 外文会议>IEEE Education Engineering;EDUCON >Analyzing self-reflection by Computer Science students to identify bad study habits: Self-reflection performed by students of programming courses on the study habits and skills acquired through b-learning supported by an automatic judge
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Analyzing self-reflection by Computer Science students to identify bad study habits: Self-reflection performed by students of programming courses on the study habits and skills acquired through b-learning supported by an automatic judge

机译:分析计算机科学专业学生的自我反思,以识别不良的学习习惯:编程学员在自动法官的支持下通过b学习获得的学习习惯和技能方面的自我反思

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We present some preliminary results and the main conclusions of a study that we conducted at the University of Algarve, for one of the programming courses in the first year of the Computer Science degree at the University of Algarve. We analyzed the self-reflections made by the students about their study habits and about the skills they acquired in the course. This particular course uses a methodology of blended-learning supported by an automatic judge. The research data were obtained through questionnaires that were distributed and collected during the period of study between the end of classes and the exam. We took into account data from other instruments related to previous work carried out by students, in this course and in previous courses, as well as the performance of the students. We intended to ascertain to what extent the planning, motivation, previous study or knowledge about the type of examination influenced final results. The results suggest measures to be implemented in future editions of the course.
机译:我们提供了一些初步的结果和我们在阿尔加威大学进行的一项研究的主要结论,该研究针对的是阿尔加威大学计算机科学专业第一年的编程课程之一。我们分析了学生对他们的学习习惯和他们在课程中获得的技能的自我反思。本特定课程使用自动法官支持的混合学习方法。研究数据是通过问卷调查获得的,这些问卷是在课程结束和考试之间的学习期间分发和收集的。我们考虑了来自其他工具的数据,这些数据与学生在本课程和以前的课程中所做的先前工作有关,以及学生的表现。我们打算确定计划,动机,先前的研究或关于考试类型的知识在多大程度上影响了最终结果。结果建议了在该课程的未来版本中要实施的措施。

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