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Geller, Shay A.; Gal, Kobi; Segal, Avi; Sripathi, Kamali; Kim, Hyunsoo G.; Facciotti, Marc T.; Igo, Michele; Hoernle, Nicholas; Karger, David – IEEE Transactions on Learning Technologies, 2021
This article provides computational and rule-based approaches for detecting confusion that is expressed in students' comments in couse forums. To obtain reliable, ground truth data about which posts exhibit student confusion, we designed a decision tree that facilitates the manual labeling of forum posts by experts. However, manual labeling is…
Descriptors: Identification, Misconceptions, Student Attitudes, Computer Mediated Communication
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Antonio Perez-Alvarez, Ronald; Maldonado-Mahauad, Jorge; Sharma, Kshitij; Sapunar-Opazo, Diego; Perez-Sanagustin, Mar – IEEE Transactions on Learning Technologies, 2020
Recent research shows that learners who are able to self-regulate their learning show greater levels of engagement with massive open online course (MOOC) content. To improve support for learners in their self-regulatory processes, researchers have proposed technological solutions to transform recorded MOOC data into actionable knowledge. However,…
Descriptors: Self Management, Online Courses, Large Group Instruction, Educational Technology
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Moreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Estevez-Ayres, Iria; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
One of the characteristics of massive open online courses (MOOCs) is that the overall number of social interactions tend to be higher than in traditional courses, hindering the analysis of social learning. Learners typically ask or answer questions using the forum. This makes messages a rich source of information, which can be used to infer…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Gitinabard, Niki; Xu, Yiqiao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – IEEE Transactions on Learning Technologies, 2019
Blended courses that mix in-person instruction with online platforms are increasingly common in secondary education. These platforms record a rich amount of data on students' study habits and social interactions. Prior research has shown that these metrics are correlated with students performance in face-to-face classes. However, predictive models…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Prediction
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Chen, Guanliang; Davis, Dan; Krause, Markus; Aivaloglou, Efthimia; Hauff, Claudia; Houben, Geert-Jan – IEEE Transactions on Learning Technologies, 2018
Massive Open Online Courses (MOOCs) aim to "educate the world." More often than not, however, MOOCs fall short of this goal--a majority of learners are already highly educated (with a Bachelor's degree or more) and come from specific parts of the (developed) world. Learners from developing countries without a higher degree are…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Rosen, Tal; Nussbaum, Miguel; Alario-Hoyos, Carlos; Readi, Francisca; Hernandez, Josefina – IEEE Transactions on Learning Technologies, 2014
Synchronous collaboration with large groups in a classroom requires coordination and communication mechanisms that allow students to contribute towards achieving a common goal. This paper presents an application based on an Interpersonal Computer with a shared display that promotes synchronous, non-verbal (silent) collaboration with large groups…
Descriptors: Large Group Instruction, Cooperative Learning, Synchronous Communication, Interaction