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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
Degens, Nick; Hofstede, Gert Jan; Beulens, Adrie; Krumhuber, Eva; Kappas, Arvid – IEEE Transactions on Learning Technologies, 2016
Digital intercultural training tools play an important role in helping people to mediate cultural misunderstandings. In recent years, these tools were made to teach about specific cultures, but there has been little attention for the design of a tool to teach about differences across a wide range of cultures. In this work, we take the first steps…
Descriptors: Cultural Awareness, Sensitivity Training, Multicultural Education, Computer Assisted Instruction
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Tempelaar, Dirk T.; Rienties, Bart; Nguyen, Quan – IEEE Transactions on Learning Technologies, 2017
Studies in the field of learning analytics (LA) have shown students' demographics and learning management system (LMS) data to be effective identifiers of "at risk" performance. However, insights generated by these predictive models may not be suitable for pedagogically informed interventions due to the inability to explain why students…
Descriptors: Student Behavior, Integrated Learning Systems, Personality, Educational Research
Zervas, Panagiotis; Sampson, Demetrios G. – IEEE Transactions on Learning Technologies, 2014
Mobile assisted language learning (MALL) and open access repositories for language learning resources are both topics that have attracted the interest of researchers and practitioners in technology enhanced learning (TeL). Yet, there is limited experimental evidence about possible factors that can influence and potentially enhance reuse of MALL…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education

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