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Oleksandra Poquet; Sven Trenholm; Marc Santolini – Educational Technology Research and Development, 2024
Interpersonal online interactions are key to digital learning pedagogies and student experiences. Researchers use learner log and text data collected by technologies that mediate learner interactions online to provide indicators about interpersonal interactions. However, analytical approaches used to derive these indicators face conceptual,…
Descriptors: Computer Mediated Communication, Interpersonal Communication, Online Courses, Discussion
Jennifer Scianna; Rogers Kaliisa – Educational Technology Research and Development, 2024
Educational researchers have pointed to socioemotional dimensions of learning as important in gaining a more nuanced description of student engagement and learning. However, to date, research focused on the analysis of emotions has been narrow in its focus, centering on affect and sentiment analysis in isolation while neglecting how emotions…
Descriptors: Computer Mediated Communication, Discussion, Discourse Analysis, Asynchronous Communication
Pala, Ferhat Kadir; Erdem, Mukaddes – Educational Technology Research and Development, 2020
The purpose of this study is to develop a standardized measurement tool that can be used to determine the participation styles of individuals participating in online instructional discussions. The scale consists of two dimensions called 'Why' and 'How.' The Why dimension comprises the main motivators of the participants' participation in online…
Descriptors: Test Construction, Rating Scales, Student Participation, College Students
Demmans Epp, Carrie; Phirangee, Krystle; Hewitt, Jim; Perfetti, Charles A. – Educational Technology Research and Development, 2020
From massive open online courses (MOOC) to the smaller scale use of learning management systems, many students interact with online platforms that are meant to support learning. Investigations into the use of these systems have considered how well students learn when certain approaches are employed. However, we do not fully understand how course…
Descriptors: Integrated Learning Systems, Student Experience, Learning Analytics, Online Courses
Ertmer, Peggy A.; Koehler, Adrie A. – Educational Technology Research and Development, 2018
In this exploratory, descriptive study we examined how discussion goals were accomplished during face-to-face and online case-based discussions facilitated by the same co-instructors. An analysis of discussion transcripts suggests that despite different instructor and student participation patterns across contexts, the instructors' goals of…
Descriptors: Interpersonal Communication, Computer Mediated Communication, Discussion, Facilitators (Individuals)
Noroozi, Omid; Busstra, Maria C.; Mulder, Martin; Biemans, Harm J. A.; Tobi, Hilde; Geelen, Anouk; van't Veer, Pieter; Chizari, Mohammad – Educational Technology Research and Development, 2012
This study used a sequential set-up to investigate the consecutive effects of timing of supportive information presentation (information before vs. information during the learning task clusters) in interactive digital learning materials (IDLMs) and type of collaboration (personal discussion vs. online discussion) in computer-supported…
Descriptors: Instructional Design, Discussion, Time Factors (Learning), Cooperative Learning
Jeong, Allan; Lee, Woon Jee – Educational Technology Research and Development, 2012
This study examined some of the methodological approaches used by students to construct causal maps in order to determine which approaches help students understand the underlying causes and causal mechanisms in a complex system. This study tested the relationship between causal understanding (ratio of root causes correctly/incorrectly identified,…
Descriptors: Discussion, Computer Software, Teaching Methods, Science Education
Yang, Dazhi; Richardson, Jennifer C.; French, Brian F.; Lehman, James D. – Educational Technology Research and Development, 2011
The purpose of this study was to develop and validate a content analysis model for assessing students' cognitive learning in asynchronous online discussions. It adopted a fully mixed methods design, in which qualitative and quantitative methods were employed sequentially for data analysis and interpretation. Specifically, the design was a…
Descriptors: Grounded Theory, Factor Analysis, Data Analysis, Content Analysis