Leveraging response times in learning environments: opportunities and challenges

Author:

Pelánek RadekORCID

Abstract

AbstractComputer-based learning environments can easily collect student response times. These can be used for multiple purposes, such as modeling student knowledge and affect, domain modeling, and cheating detection. However, to fully leverage them, it is essential to understand the properties of response times and associated caveats. In this study, we delve into the properties of response time distributions, including the influence of aberrant student behavior on response times. We then provide an overview of modeling approaches that use response times and discuss potential applications of response times for guiding the adaptive behavior of learning environments.

Funder

Masaryk University

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Reference80 articles.

1. Aghajari, Z., Unal, D.S., Unal, M.E., Gómez, L., Walker, E.: Decomposition of response time to give better prediction of children’s reading comprehension. Int. Edu. Data Min. Soc. (2020)

2. Aleven, V., McLaughlin, E.A., Glenn, R.A., Koedinger, K.R.: Instruction based on adaptive learning technologies. Handb. Res. Learn. Instr. 2, 522–560 (2016)

3. Baker, R., Walonoski, J., Heffernan, N., Roll, I., Corbett, A., Koedinger, K.: Why students engage in “gaming the system’’ behavior in interactive learning environments. J. Interactive Learn. Res. 19(2), 185–224 (2008)

4. Baker, R.S., Corbett, A.T., Koedinger, K.R.: Detecting student misuse of intelligent tutoring systems. In: Proceedings of Intelligent Tutoring Systems, pp. 531–540. Springer (2004)

5. Baker, R.S.d., Mitrović, A., Mathews, M.: Detecting gaming the system in constraint-based tutors. In: Proceedings of User Modeling, Adaptation, and Personalization, pp. 267–278. Springer (2010)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3