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Demir, Ömer; Cinar, Murat; Keskin, Sinan – Education and Information Technologies, 2023
Learners in asynchronous discussion forums are inundated with diverse options when it comes to interaction. This enables the embodiment of various styles of participation. On the other hand, the affective domain tends to be overlooked in the online discussion context. The modeling of discussion activities based on both cognitive and affective…
Descriptors: Asynchronous Communication, Computer Mediated Communication, Group Discussion, Affective Behavior
Pérez-López, Raúl; Gurrea-Sarasa, Raquel; Herrando, Carolina; Martín-De Hoyos, María José; Bordonaba-Juste, Victoria; Utrillas-Acerete, Ana – Australasian Journal of Educational Technology, 2020
Twitter is a microblog that allows users to interact about a topic in online discussion. This makes it an interesting interactive tool with possibilities to increase student engagement and learning performance through active collaboration in an informal learning environment. However, few articles take a quantitative approach to investigate the…
Descriptors: Learner Engagement, Cognitive Processes, Affective Behavior, Social Media
Akgun, Muhterem; Atici, Bünyamin – Participatory Educational Research, 2022
The objective of this study is to ascertain the effects of immersive virtual reality environments on students' academic achievement utilizing quantitative and qualitative approaches. First, databases of Web of Science, Google Scholar, ERIC, Proquest, YÖK Thesis Center, and ULAKBIM of Turkey were searched, and 31 studies (23 journal papers and 8…
Descriptors: Computer Simulation, Academic Achievement, Meta Analysis, Databases
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection