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

机译：基于能力的学习方法的学生分级控制与可视化

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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熟悉自己和应对基于新的能力的学习方法，在线电子学习环境中的重点是个人学习。学习者通过选择自己，何时和学习的何时和多少，没有截止日期，从课程中获得自由。该方法集中精力测量人们可以在学习中实际做的事情。为了让每个人的能力的详细图片，使用自动算法开发了不同类型的评估方法，这些算法模仿学生的回答过程，具有小的可重复练习。由于每个能力都分别分别逐渐分别逐渐分析，最终的最终成绩需要更复杂的聚合函数来设计。对于学生来说，毕业的成绩是为了完成足够的工作并自行自行决定，他们可以接受这种结果或继续努力实现更高的成绩。随着这种个性化的学习方法，将所有责任留给学习者，他们必须妥善概述自己的进步和获得足够的数据，以便进行受过教育的学习决策。为了促进这个问题，为学生提供了五个不同的学生进度可视化工具。根据学生的反馈，已经分析了他们的使用，福利和缺点。得出的结论是，视觉工具帮助大多数学生遵循他们的过程，比以前更好，每个学生都喜欢不同种类的工具，具体取决于他们的个性。虽然有些学生从系统提供的自由中受益匪浅，但其他学生很难激励自己工作，因此发现它难以准时完成课程。

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