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Neto, Valter; Rolim, Vitor; Pinheiro, Anderson; Lins, Rafael Dueire; Gasevic, Dragan; Mello, Rafael Ferreira – IEEE Transactions on Learning Technologies, 2021
This article investigates the impact of educational contexts on automatic classification of online discussion messages according to cognitive presence, an essential construct of the community of inquiry model. In particular, the work reported in the article analyzed online discussion messages written in Brazilian Portuguese from two different…
Descriptors: Foreign Countries, Computer Mediated Communication, Discussion, Content Analysis
Atapattu, Thushari; Falkner, Katrina; Thilakaratne, Menasha; Sivaneasharajah, Lavendini; Jayashanka, Rangana – IEEE Transactions on Learning Technologies, 2020
The substantial growth of online learning, and in particular, through massively open online courses (MOOCs), supports research into nontraditional learning contexts. Learners' confusion is one of the identified aspects which impact the overall learning process, and ultimately, course attrition. Confusion for a learner is an individual state of…
Descriptors: Electronic Learning, Online Courses, Psychological Patterns, Learning Processes
Uto, Masaki; Nguyen, Duc-Thien; Ueno, Maomi – IEEE Transactions on Learning Technologies, 2020
With the wide spread large-scale e-learning environments such as MOOCs, peer assessment has been popularly used to measure the learner ability. When the number of learners increases, peer assessment is often conducted by dividing learners into multiple groups to reduce the learner's assessment workload. However, in such cases, the peer assessment…
Descriptors: Item Response Theory, Electronic Learning, Peer Evaluation, Accuracy
Joksimovic, Srecko; Jovanovic, Jelena; Kovanovic, Vitomir; Gasevic, Dragan; Milikic, Nikola; Zouaq, Amal; van Staalduinen, Jan Paul – IEEE Transactions on Learning Technologies, 2020
Learning in computer-mediated setting represents a complex, multidimensional process. This complexity calls for a comprehensive analytical approach that would allow for understanding of various dimensions of learner generated discourse and the structure of the underlying social interactions. Current research, however, primarily focuses on manual…
Descriptors: Group Discussion, Speech Acts, Computer Assisted Instruction, Discourse Analysis
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
Alario-Hoyos, Carlos; Pérez-Sanagustin, Mar; Delgado-Kloos, Carlos; Parada G., Hugo A.; Muñoz-Organero, Mario – IEEE Transactions on Learning Technologies, 2014
This paper presents an in-depth empirical analysis of a nine-week MOOC. This analysis provides novel results regarding participants' profiles and use of built-in and external social tools. The results served to detect seven participants' patterns and conclude that the forum was the social tool preferred to contribute to the MOOC.
Descriptors: Profiles, Online Courses, Computer Science Education, Distance Education
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
Srba, Ivan; Bielikova, Maria – IEEE Transactions on Learning Technologies, 2015
In the current time of globalization, collaboration among people in virtual environments is becoming an important precondition of success. This trend is reflected also in the educational domain where students collaborate in various short-term groups created repetitively but changing in each round (e.g. in MOOCs). Students in these kind of dynamic…
Descriptors: Cooperative Learning, Online Courses, Group Dynamics, Feedback (Response)
Sun, Geng; Shen, Jun – IEEE Transactions on Learning Technologies, 2014
Mobile learning is an emerging trend that brings many advantages to distributed learners, enabling them to achieve collaborative learning, in which the virtual teams are usually built to engage multiple learners working together towards the same pedagogical goals in online courses. However, the socio-technical mechanisms to enhance teamwork…
Descriptors: Teamwork, Computer Software, Online Courses, Teaching Methods
Anwar, M.; Greer, J. – IEEE Transactions on Learning Technologies, 2012
This research explores a new model for facilitating trust in online e-learning activities. We begin by protecting the privacy of learners through identity management (IM), where personal information can be protected through some degree of participant anonymity or pseudonymity. In order to expect learners to trust other pseudonymous participants,…
Descriptors: Computer Mediated Communication, Discussion, Client Server Architecture, Online Courses