OnTask

S. Leichtweis
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引用次数: 0

Abstract

Universities are increasingly being expected to ensure student success while at the same time delivering larger courses.  Within this environment, the provision of effective and timely feedback to students and creating opportunities for genuine engagement between teachers and students is increasingly difficult if not impossible for many instructors, despite the known value and importance of feedback (Timperley & Hattie, 2007) and instructor presence (Garrison, Anderson & Archer, 2010).  Similar to other tertiary institutions, the University of Auckland has adopted various technology-enhanced learning approaches and technologies, including learning analytics in an attempt to support teaching and learning at scale.  The increased use of educational technology to support learning provides a variety of data sources for teachers to provide personalised feedback and improve the overall learning experience for students.  This workshop is targeted to teachers interested in the use of learning data to provide personalized support to learners.  Participants will have a hands-on opportunity to use the open-source tool OnTask (Pardo, et al. 2018) within some common teaching scenarios with a synthetically generated data set.  The facilitators will also share and discuss how OnTask is currently being used in universities to support student experience, teaching practice and course design.  As this is a hands-on workshop, participants must bring a laptop computer to work with the online tool and the prepared scenarios.  References   Garrison, D. R., Anderson, T., & Archer, W. (2010). The first decade of the community of inquiry framework: A retrospective. The internet and higher education, 13(1-2), 5-9. Hattie, J., & Timperley, H. (2007). The power of feedback. Review of educational research, 77(1), 81-112. Pardo, A., Bartimote-Aufflick, K., Shum, S. B., Dawson, S., Gao, J., Gaševic, D., Leichtweis, S., Liu, D., Martínez-Maldonado, R., Mirriahi, N. and Moskal, A. C. M. (2018). OnTask: Delivering Data-Informed, Personalized Learning Support Actions. Journal of Learning Analytics, 5(3), 235-249.
人们越来越期望大学在提供更大课程的同时确保学生的成功。在这种环境下,尽管反馈的价值和重要性(Timperley & Hattie, 2007)和教师的存在(Garrison, Anderson & Archer, 2010)是众所周知的,但对许多教师来说,向学生提供有效和及时的反馈并创造师生之间真正互动的机会变得越来越困难(如果不是不可能的话)。与其他高等教育机构类似,奥克兰大学采用了各种技术增强的学习方法和技术,包括学习分析,以支持大规模的教学和学习。越来越多地使用教育技术来支持学习,为教师提供了各种数据源,以提供个性化的反馈,并改善学生的整体学习体验。本次研讨会针对的是对使用学习数据为学习者提供个性化支持感兴趣的教师。参与者将有机会在一些常见的教学场景中使用开源工具OnTask (Pardo, et al. 2018),并使用合成生成的数据集。主持人还将分享和讨论OnTask目前如何在大学中使用,以支持学生体验、教学实践和课程设计。由于这是一个实际操作的研讨会,参与者必须携带一台笔记本电脑来使用在线工具和准备好的场景。参考文献加里森,D. R,安德森,T.,和阿彻,W.(2010)。社区探究框架的第一个十年:回顾。网络与高等教育,13(1-2),5-9。哈蒂,J,和Timperley, H.(2007)。反馈的力量。教育研究评论,77(1),81-112。Pardo, A., Bartimote-Aufflick, K., Shum, S. B., Dawson, S., Gao, J., Gaševic, D., Leichtweis, S., Liu, D., Martínez-Maldonado, R., Mirriahi, N.和Moskal, a.c.m.(2018)。OnTask:提供基于数据的个性化学习支持行动。学习分析,5(3),235-249。
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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