Analytics of What? Negotiating the seduction of big data and learning analytics

Analytics of What? Negotiating the seduction of big data and learning analytics
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分析什么?

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发表时间:
2017
期刊:
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通讯作者:
P. D. Barba
P. D. Barba
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文献类型:
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作者:
L. Corrin;G. Kennedy;P. D. Barba

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在本章中,我们特别关注学习分析这一新兴领域的发展和影响——分析基于学生的数据以改善学习和学习环境——并讨论如何使用它和大数据来解决教育问题。我们考虑了学习分析研究和开发的当前状况,并研究了为什么大数据和学习分析具有吸引力。接下来考虑了机构在利用大数据和实施学习分析方面面临的一些主要挑战,并建议重点关注学习。最后,我们认为,虽然大数据和分析在短时间内取得了长足的进步,但它们仍有很长的路要走。重新将研究、开发和政策的重点放在如何利用大数据和学习分析来真正支持高效的学生学习过程,这是协商未来道路的一种方式。
In this chapter we focus specifically on the development and impact of the emerging field of learning analytics – the analysis of student-based data to improve learning and learning environments – and discuss how it, and big data, can be used to address educational problems. We consider the current state of play in learning analytics research and development and examine why big data and learning analytics are seductive. This is followed by a consideration of some of the main challenges facing institutions in harnessing big data and implementing learning analytics and the recommendation that the key focus needs to be on learning. We conclude by suggesting that while big data and analytics have come a fair distance in a short period of time, they still have a way to go. Refocussing research, development and policy on how big data and learning analytics can be used to genuinely support productive student learning processes is one way of negotiating the path ahead.