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Victor Manuel Corza-Vargas; Roberto Martinez-Maldonado; Boris Escalante-Ramirez; Jimena Olveres – Journal of Learning Analytics, 2024
While teachers often monitor and adjust their learning design based on students' emotional states in physical classrooms, synchronous online environments often limit their ability to perceive the emotional climate of the class. Drawing from the concept of social translucence, it is suggested that making students' emotional states…
Descriptors: Foreign Countries, Undergraduate Students, Privacy, Cultural Awareness
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Frezza, S.; Daniels, M.; Wilkin, A. – ACM Transactions on Computing Education, 2019
This research aimed at evaluating the development and use of low-cost affective domain assessment instruments, culminating with personal and group characterization of representative global information technology (IT) professional values. Values and valuing are a compelling component of Bloom's affective domain of learning for engineering…
Descriptors: Values, Information Technology, Affective Measures, Student Evaluation
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Umapathy, Karthikeyan; Ritzhaupt, Albert D. – ACM Transactions on Computing Education, 2017
Several experiments on the effects of pair programming versus solo programming in the context of education have been reported in the research literature. We present a meta-analysis of these studies that accounted for 18 manuscripts with 28 independent effect sizes in the domains of programming assignments, exams, passing rates, and affective…
Descriptors: Programming, Cooperative Learning, Computer Science Education, Educational Practices
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Jagger, Suzy – Innovations in Education and Teaching International, 2013
A commonly used teaching method to promote student engagement is the classroom debate. This study evaluates how affective characteristics, as defined in Bloom's taxonomy, were stimulated during debates that took place on a professional ethics module for first year computing undergraduates. The debates led to lively interactive group discussions…
Descriptors: Computer Science Education, Undergraduate Students, Debate, Group Discussion
Pilotte, William J.; Gable, Robert K. – 1989
Confirmatory factor analysis (LISREL VI) is the method best suited to the comparison of measurement models when those models are based on a priori assumptions. Traditionally, positive and negative item stems were mixed on affective scales to reduce response set bias since the item pairs were considered to be parallel. Recent studies indicate that…
Descriptors: Affective Measures, Computer Science Education, Error of Measurement, Factor Analysis