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Pankaj Chejara; Luis P. Prieto; Yannis Dimitriadis; Maria Jesus Rodriguez-Triana; Adolfo Ruiz-Calleja; Reet Kasepalu; Shashi Kant Shankar – Journal of Learning Analytics, 2024
Multimodal learning analytics (MMLA) research has shown the feasibility of building automated models of collaboration quality using artificial intelligence (AI) techniques (e.g., supervised machine learning (ML)), thus enabling the development of monitoring and guiding tools for computer-supported collaborative learning (CSCL). However, the…
Descriptors: Learning Analytics, Attribution Theory, Acoustics, Artificial Intelligence
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Huang, Changqin; Wu, Xuemei; Wang, Xizhe; He, Tao; Jiang, Fan; Yu, Jianhui – Educational Technology & Society, 2021
Collaborative reflection (co-reflection) plays a vital role in collaborative knowledge construction and behavior shared regulation. Although the mixed effect of online co-reflection was reported in the literature, few studies have comprehensively examined both individual and group factors and their relationships that affect the co-reflection…
Descriptors: Cooperation, Reflection, Objectives, Achievement Need
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Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Nicole B. Kersting; Bruce L. Sherin; James W. Stigler – Educational and Psychological Measurement, 2014
In this study, we explored the potential for machine scoring of short written responses to the Classroom-Video-Analysis (CVA) assessment, which is designed to measure teachers' usable mathematics teaching knowledge. We created naïve Bayes classifiers for CVA scales assessing three different topic areas and compared computer-generated scores to…
Descriptors: Scoring, Automation, Video Technology, Teacher Evaluation
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Bekele, Rahel; McPherson, Maggie – British Journal of Educational Technology, 2011
This research work presents a Bayesian Performance Prediction Model that was created in order to determine the strength of personality traits in predicting the level of mathematics performance of high school students in Addis Ababa. It is an automated tool that can be used to collect information from students for the purpose of effective group…
Descriptors: Foreign Countries, Personality Traits, Mathematics Education, Prediction
Chung, Gregory K. W. K.; Delacruz, Girlie C.; Dionne, Gary B.; Bewley, William L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2006
In this study we report on a test of a method that uses ontologies to individualize instruction by directly linking assessment results to the delivery of relevant content. Our sample was 2nd Lieutenants undergoing entry-level training on rifle marksmanship. Ontologies are explicit expressions of the concepts in a domain, the links among the…
Descriptors: Military Training, Military Personnel, Weapons, Teaching Methods