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Students' grading control and visualisation in competence-based learning approach

机译:基于能力学习方法的学生评分控制和可视化

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This paper analyses how students familiarize themselves and cope with novel competence-based approach to learning in online e-learning environment where the focus is on personal learning. Learners have freedom to mark their own path through the courses without deadlines by choosing themselves what, when and how much they learn. That methodology concentrates on measuring what a person can actually do as a result of learning. In order to have that kind of detailed picture of everyone's abilities, different kind of approach for assessment was developed using automatic algorithms that mimic student's answering process with small repeatable exercises. As every competence is being graded separately with high level of granularity, one definitive final grade requires a more complex aggregation function to be designed. Grades are suggested for students when enough work has been done and on their own discretion they can either accept that result or keep working to achieve a higher grade. As this kind of personalized approach to learning leaves all responsibility of planning to a learner, they have to have a proper overview of their own progress and an access to sufficient data in order to make educated learning decisions. To facilitate that problem five different student's progress visualization tools were offered to students. Their usage, benefits and drawbacks according to students' feedback have been analyzed. The conclusions drawn are that visual tools have helped majority of students to follow their process better than before and every student prefers different kinds of tools depending on their personality. While some students have benefited a lot from the freedoms offered by the system, others had hard time motivating themselves to work and therefore found it to be difficult to complete the course on time.
机译:本文分析了学生如何在以个人学习为重点的在线电子学习环境中熟悉并应对基于胜任力的新颖学习方法。学习者可以自由选择自己的学习方式,学习时间和学习内容,从而在没有期限的情况下自由选择自己的课程。该方法论着重于衡量一个人学习后实际可以做什么。为了对每个人的能力有一个详细的了解,使用自动算法开发了不同类型的评估方法,该算法模仿学生的回答过程,并进行少量重复练习。由于每项能力都以较高的粒度进行单独分级,因此,最终的最终等级需要设计更复杂的汇总函数。当学生完成足够的工作后,他们会建议分数,他们可以根据自己的判断接受结果,也可以继续努力以取得更高的分数。由于这种个性化的学习方法将计划的全部责任留给了学习者,他们必须对自己的进度有一个适当的了解,并有足够的数据访问权,以便做出有根据的学习决定。为了解决该问题,向学生提供了五种不同的学生进度可视化工具。根据学生的反馈,分析了它们的用法,优点和缺点。得出的结论是,视觉工具已帮助大多数学生比以前更好地遵循了自己的过程,并且每个学生都根据自己的性格偏好使用不同种类的工具。尽管有些学生从系统提供的自由中受益匪浅,但其他人却很难激励自己去工作,因此很难按时完成课程。

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