Students' Perception on Data Sources from Outside Virtual Learning Environment for Learning Analytics

Andharini D. Cahyani, L. Marshall, M. Forshaw
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Abstract

Every time a student interacts during their learning, they leave behind a digital footprint. The process of using this data to improve learning and teaching is called as Learning Analytics. Researches in this field grow and are more popular, specifically that usage of data outside the Virtual Learning Environment. Although often proposed data in previous research use students' personal data, their perception of the usage of those data is still underexplored. This study investigates higher education students' understanding of how useful the proposed data might be helpful as their input. Our study reveals that each degree-level student response differently regarding the usefulness each data sources. Therefore, we need to consider students' perception when we design personal learning analytics for students, so the app can fit to their preference and needs.
学生对学习分析中虚拟学习环境外部数据源的感知
学生在学习过程中的每次互动都会留下数字足迹。使用这些数据来改善学习和教学的过程被称为学习分析。这一领域的研究越来越多,越来越受欢迎,特别是对虚拟学习环境之外数据的使用。虽然以前的研究中经常提出的数据使用学生的个人数据,但他们对这些数据使用的看法仍未得到充分探讨。本研究调查了高等教育学生对拟议数据作为他们的输入有多大帮助的理解。我们的研究表明,每个学位水平的学生对每个数据源的有用性的反应不同。因此,我们在为学生设计个人学习分析时,需要考虑学生的感知,使app能够符合他们的偏好和需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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