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Andrade, Alejandro; Danish, Joshua A.; Maltese, Adam V. – Journal of Learning Analytics, 2017
Interactive learning environments with body-centric technologies lie at the intersection of the design of embodied learning activities and multimodal learning analytics. Sensing technologies can generate large amounts of fine-grained data automatically captured from student movements. Researchers can use these fine-grained data to create a…
Descriptors: Measurement, Interaction, Models, Educational Environment
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Schmidt, Susanne; Zlatkin-Troitschanskaia, Olga; Fox, Jean-Paul – Journal of Educational Measurement, 2016
Longitudinal research in higher education faces several challenges. Appropriate methods of analyzing competence growth of students are needed to deal with those challenges and thereby obtain valid results. In this article, a pretest-posttest-posttest multivariate multilevel IRT model for repeated measures is introduced which is designed to address…
Descriptors: Foreign Countries, Pretests Posttests, Hierarchical Linear Modeling, Item Response Theory
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Zhang, Dake; Stecker, Pamela; Huckabee, Sloan; Miller, Rhonda – Journal of Learning Disabilities, 2016
Research has suggested that different strategies used when solving fraction problems are highly correlated with students' problem-solving accuracy. This study (a) utilized latent profile modeling to classify students into three different strategic developmental levels in solving fraction comparison problems and (b) accordingly provided…
Descriptors: Middle School Students, Fractions, Mathematics Achievement, Low Achievement