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Marc Burchart; Joerg M. Haake – IEEE Transactions on Learning Technologies, 2024
In distance education courses with a large number of students and groups, the organization and facilitation of collaborative writing tasks are challenging. Teachers need support for planning, specification, execution, monitoring, and evaluation of collaborative writing tasks in their course. This requires a collaborative learning platform for…
Descriptors: Writing Instruction, Distance Education, Large Group Instruction, Learning Management Systems
Ntourmas, Anastasios; Dimitriadis, Yannis; Daskalaki, Sophia; Avouris, Nikolaos – IEEE Transactions on Learning Technologies, 2022
One of the main challenges of massive open online courses (MOOCs) is the effective facilitation of learners in the course forum. The more learners participating in the forum, the more difficult it is for instructors to provide timely support. The effective intervention of teaching assistants (TAs) can play a crucial role in mitigating this issue;…
Descriptors: Online Courses, Teaching Assistants, Large Group Instruction, Electronic Learning
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
Beasley, Zachariah J.; Piegl, Les A.; Rosen, Paul – IEEE Transactions on Learning Technologies, 2021
Accurately grading open-ended assignments in large or massive open online courses is nontrivial. Peer review is a promising solution but can be unreliable due to few reviewers and an unevaluated review form. To date, no work has leveraged sentiment analysis in the peer-review process to inform or validate grades or utilized aspect extraction to…
Descriptors: Case Studies, Online Courses, Assignments, Peer Evaluation
Moreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
This paper surveys the state of the art on prediction in MOOCs through a systematic literature review (SLR). The main objectives are: first, to identify the characteristics of the MOOCs used for prediction, second, to describe the prediction outcomes, third, to classify the prediction features, fourth, to determine the techniques used to predict…
Descriptors: Prediction, Large Group Instruction, Online Courses, Educational Research
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
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
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
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
Sunar, Ayse Saliha; White, Su; Abdullah, Nor Aniza; Davis, Hugh C. – IEEE Transactions on Learning Technologies, 2017
In 2015, 35 million learners participated online in 4,200 MOOCs organized by over 500 universities. Learning designers orchestrate MOOC content to engage learners at scale and retain interest by carefully mixing videos, lectures, readings, quizzes, and discussions. Universally, far fewer people actually participate in MOOCs than originally sign up…
Descriptors: Online Courses, Large Group Instruction, Interaction, Learner Engagement
Brinton, Christopher G.; Chiang, Mung; Jain, Shaili; Lam, Henry; Liu, Zhenming; Wong, Felix Ming Fai – IEEE Transactions on Learning Technologies, 2014
We study user behavior in the courses offered by a major massive online open course (MOOC) provider during the summer of 2013. Since social learning is a key element of scalable education on MOOC and is done via online discussion forums, our main focus is on understanding forum activities. Two salient features of these activities drive our…
Descriptors: Online Courses, Large Group Instruction, Statistical Analysis, Group Discussion
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
López Garcia, Diego A.; Mateo Sanguino, Tomás de J.; Cortés Ancos, Estefania; Fernández de Viana González, Iñaki – IEEE Transactions on Learning Technologies, 2016
Debates have been used to develop critical thinking within teaching environments. Many learning activities are configured as working groups, which use debates to make decisions. Nevertheless, in a classroom debate, only a few students can participate; large work groups are similarly limited. Whilst the use of web tools would appear to offer a…
Descriptors: Debate, Web 2.0 Technologies, Internet, Cooperative Learning