Toward Personalizing Students' Education with Crowdsourced Tutoring
Toward Personalizing Students' Education with Crowdsourced Tutoring
复制标题
通过众包辅导实现学生个性化教育
DOI：
10.1145/3430895.3460130
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Heffernan, Neil
中科院分区：
文献类型：
--
作者：
Prihar, Ethan;Patikorn, Thanaporn;Botelho, Anthony;Sales, Adam;Heffernan, Neil
随着越来越多的教育工作者将他们的课程与在线学习相结合，从他们那里众包内容变得更加容易。众包辅导已被证明可以可靠地提高学生下一道题的正确性。在这项工作中，我们证实了之前在这一领域的研究结果，比以前更有信心，并揭示了只有一部分众包内容创作者对学生有可靠的好处。此外，这项工作还提供了一种方法来对内容创作者进行相对排名，用于确定哪些内容创作者总体上最有效，哪些内容创作者对特定学生群体最有效。当我们从TeacherASSIST （ASSISTments学习平台中的一个功能，通过众包教师的辅导）的数据中进行研究时，我们发现，虽然总体上这个项目为学生提供了好处，但一些教师比其他教师创造了更有效的内容。尽管有这一发现，但我们没有发现证据表明内容的有效性会因学生的知识水平而可靠地变化，这表明内容不太可能适合仅基于学生知识的个性化教学。这些发现对众包辅导的未来很有希望，因为它们有助于为评估众包内容的质量和调查内容提供个性化学生教育的机会。
As more educators integrate their curricula with online learning, it is easier to crowdsource content from them. Crowdsourced tutoring has been proven to reliably increase students' next problem correctness. In this work, we confirmed the findings of a previous study in this area, with stronger confidence margins than previously, and revealed that only a portion of crowdsourced content creators had a reliable benefit to students. Furthermore, this work provides a method to rank content creators relative to each other, which was used to determine which content creators were most effective overall, and which content creators were most effective for specific groups of students. When exploring data from TeacherASSIST, a feature within the ASSISTments learning platform that crowdsources tutoring from teachers, we found that while overall this program provides a benefit to students, some teachers created more effective content than others. Despite this finding, we did not find evidence that the effectiveness of content reliably varied by student knowledge-level, suggesting that the content is unlikely suitable for personalizing instruction based on student knowledge alone. These findings are promising for the future of crowdsourced tutoring as they help provide a foundation for assessing the quality of crowdsourced content and investigating content for opportunities to personalize students' education.
登录
查看更多内容
收集教程视频的众包方法——实现大规模个性化学习
DOI：
10.1145/3051457.3053973
发表时间：
2016
期刊：
Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale
影响因子：
--
作者：
J. Whitehill;M. Seltzer
通讯作者：
M. Seltzer
DOI：
--
发表时间：
2015-08
期刊：
ArXiv
影响因子：
--
作者：
Li Zhou
通讯作者：
Li Zhou
DOI：
10.1080/15391523.2019.1666757
发表时间：
2019-09-23
影响因子：
5.1
作者：
Shelton, Catharyn C.;Archambault, Leanna M.
通讯作者：
Archambault, Leanna M.
影响因子：
9.9
作者：
McLaren, Bruce M.;van Gog, Tamara;Yaron, David
通讯作者：
Yaron, David
在线学习平台中教师众包按需协助的有效性
DOI：
10.1145/3386527.3405912
发表时间：
2020
期刊：
Proceedings of the Seventh ACM Conference on Learning @ Scale (L@S
影响因子：
--
作者：
Patikorn, Thanaporn;Heffernan, Neil T.
通讯作者：
Heffernan, Neil T.