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Ridwan Whitehead; Andy Nguyen; Sanna Järvelä – Journal of Learning Analytics, 2025
Incorporating non-verbal data streams is essential to understanding the dynamics of interaction within collaborative learning environments in which a variety of verbal and non-verbal modes of communication intersect. However, the complexity of non-verbal data -- especially gathered in the wild from collaborative learning contexts -- demands…
Descriptors: Case Studies, Nonverbal Communication, Video Technology, Data Analysis
Drachsler, H.; Kalz, M. – Journal of Computer Assisted Learning, 2016
The article deals with the interplay between learning analytics and massive open online courses (MOOCs) and provides a conceptual framework to situate ongoing research in the MOOC and learning analytics innovation cycle (MOLAC framework). The MOLAC framework is organized on three levels: On the micro-level, the data collection and analytics…
Descriptors: Online Courses, Data Collection, Data Analysis, Reflection
Massey, Kyle D.; Massey, Jennifer – Journal of College and Character, 2017
Research on hazing in higher education has primarily focused on Greek-letter organizations and athletes, with little research beyond these two subsets of college students. The purpose of this qualitative study was to explore the attitudes of students from the general student population at a Canadian university with regard to hazing and identify…
Descriptors: Foreign Countries, College Students, Fraternities, Sororities
Zhang, Jia-Hua; Zhang, Ye-Xing; Zou, Qin; Huang, Sen – Educational Technology & Society, 2018
The practice and application of education data mining and learning analytics has become the focus of educational researchers. However, it is still a difficult task to explore the law of group learning and the characteristics of individual learning. In this study, the online learning logs of 1,088 students from 22 classes were analyzed from the…
Descriptors: Data Collection, Data Analysis, Educational Research, Diaries
Yu, Chen; Yurovsky, Daniel; Xu, Tian – Infancy, 2012
Infant eye movements are an important behavioral resource to understand early human development and learning. But the complexity and amount of gaze data recorded from state-of-the-art eye-tracking systems also pose a challenge: how does one make sense of such dense data? Toward this goal, this article describes an interactive approach based on…
Descriptors: Infants, Eye Movements, Visual Aids, Data Analysis
Wong, Lung-Hsiang; Looi, Chee-Kit – Interactive Learning Environments, 2012
The notion of a system adapting itself to provide support for learning has always been an important issue of research for technology-enabled learning. One approach to provide adaptivity is to use social navigation approaches and techniques which involve analysing data of what was previously selected by a cluster of users or what worked for…
Descriptors: Electronic Learning, Entomology, Educational Technology, Individualized Instruction
Maloney, Jane – British Educational Research Journal, 2007
This article reports the findings of a research project concerned with children engaging in scientific argumentation. Discussion activities were designed to enable groups of children to use evidence when making decisions. The findings show a variation in the success with which children construct scientific arguments; some groups debate most of the…
Descriptors: Persuasive Discourse, Discussion (Teaching Technique), Group Discussion, Science Activities

Moorhead, Gregory – Group and Organization Studies, 1982
Reviews the major tenets of the groupthink hypothesis of Irving Janis, as well as the research on which it is based. Reviews previous research on group dynamics related to groupthink. Proposes guidelines for research to test the propositions of groupthink. (Author/RC)
Descriptors: Data Analysis, Decision Making, Group Behavior, Group Dynamics

Piasecki, Joseph R.; Kamis-Gould, Edna – Evaluation and Program Planning: An International Journal, 1981
Social area analysis (SAA) is defined, and its conceptual roots and principal applications identified. The utility of SAA is assessed by reviewing use of demographic data among several disciplines. Authors review seminal and recent contributions to the field. Ecological fallacies and other problematic facets of SAA are considered. (Author/DWH)
Descriptors: Area Studies, Classification, Data Analysis, Ecology