How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale
How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale
复制标题
常见错误答案有多常见?
DOI:
10.1145/3573051.3593390
复制
发表时间:
2023
期刊:
影响因子:
--
通讯作者:
Heffernan, Neil T.
中科院分区:
文献类型:
--
作者:
Gurung, Ashish;Baral, Sami;Lee, Morgan P.;Sales, Adam C.;Haim, Aaron;Vanacore, Kirk P.;McReynolds, Andrew A.;Kreisberg, Hilary;Heffernan, Cristina;Heffernan, Neil T.
Solving mathematical problems is cognitively complex, involving strategy formulation, solution development, and the application of learned concepts. However, gaps in students' knowledge or weakly grasped concepts can lead to errors. Teachers play a crucial role in predicting and addressing these difficulties, which directly influence learning outcomes. However, preemptively identifying misconceptions leading to errors can be challenging. This study leverages historical data to assist teachers in recognizing common errors and addressing gaps in knowledge through feedback. We present a longitudinal analysis of incorrect answers from the 2015-2020 academic years on two curricula, Illustrative Math and EngageNY, for grades 6, 7, and 8. We find consistent errors across 5 years despite varying student and teacher populations. Based on these Common Wrong Answers (CWAs), we designed a crowdsourcing platform for teachers to provide Common Wrong Answer Feedback (CWAF). This paper reports on an in vivo randomized study testing the effectiveness of CWAFs in two scenarios: next-problem-correctness within-skill and next-problem-correctness within-assignment, regardless of the skill. We find that receiving CWAF leads to a significant increase in correctness for consecutive problems within-skill. However, the effect was not significant for all consecutive problems within-assignment, irrespective of the associated skill. This paper investigates the potential of scalable approaches in identifying Common Wrong Answers (CWAs) and how the use of crowdsourced CWAFs can enhance student learning through remediation.
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DOI:
10.1207/s15516709cog0202_4
发表时间:
1978-04
期刊:
Cogn. Sci.
影响因子:
--
作者:
J. Brown;R. Burton
通讯作者:
J. Brown;R. Burton
DOI:
10.1145/3330430.3333614
发表时间:
2019
期刊:
Proceedings of the Sixth (2019
影响因子:
--
作者:
Wang, Xu;Talluri, Srinivasa Teja;Rose, Carolyn;Koedinger, Kenneth
通讯作者:
Koedinger, Kenneth
DOI:
10.1145/3576050.3576109
发表时间:
2023
期刊:
LAK2023: LAK23: 13th International Learning Analytics and Knowledge Conference
影响因子:
--
作者:
Gurung, Ashish;Baral, Sami;Vanacore, Kirk P.;Mcreynolds, Andrew A.;Kreisberg, Hilary;Botelho, Anthony F.;Shaw, Stacy T.;Hefferna, Neil T.
通讯作者:
Hefferna, Neil T.
影响因子:
5.6
作者:
Thomas T. Hills
通讯作者:
Thomas T. Hills
影响因子:
5
作者:
Botelho, Anthony;Baral, Sami;Erickson, John;Benachamardi, Priyanka;Heffernan, Neil
通讯作者:
Heffernan, Neil