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Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Pietarinen, Tarja; Vauras, Marja; Laakkonen, Eero; Kinnunen, Riitta; Volet, Simone – Journal of Computer Assisted Learning, 2019
This study examined affect during high school students' face-to-face collaborative inquiry learning in science, supported by the web-based software Virtual Baltic Sea Explorer. Self-reported affective states during the inquiry process in peer groups were related to evaluations of a group's collaboration and performance in three phases of…
Descriptors: High School Students, Inquiry, Cooperative Learning, Educational Technology
Peña, Adriana; Rangel, Nora; Muñoz, Mirna; Mejia, Jezreel; Lara, Graciela – Educational Technology & Society, 2016
While a person's internal state might not be easily inferred through an automatic computer system, within a group, people express themselves through their interaction with others. The group members' interaction can be then helpful to understand, to certain extent, its members' affective behavior in any case toward the task at hand. In this…
Descriptors: Affective Behavior, Nonverbal Communication, Computer Mediated Communication, Simulated Environment
Troussas, Christos; Espinosa, Kurt Junshean; Virvou, Maria – Informatics in Education, 2016
Social networks are progressively being considered as an intense thought for learning. Particularly in the research area of Intelligent Tutoring Systems, they can create intuitive, versatile and customized e-learning systems which can advance the learning process by revealing the capacities and shortcomings of every learner and by customizing the…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Computer Software
Gómez-Chacón, Inés Ma.; Romero Albaladejo, Isabel Ma.; del Mar García López, Ma. – ZDM: The International Journal on Mathematics Education, 2016
This study highlights the importance of cognition-affect interaction pathways in the construction of mathematical knowledge. Scientific output demands further research on the conceptual structure underlying such interaction aimed at coping with the high complexity of its interpretation. The paper discusses the effectiveness of using a dynamic…
Descriptors: Mathematics Instruction, Cognitive Processes, Geometry, Mathematical Logic
Paquette, Luc; Rowe, Jonathan; Baker, Ryan; Mott, Bradford; Lester, James; DeFalco, Jeanine; Brawner, Keith; Sottilare, Robert; Georgoulas, Vasiliki – International Educational Data Mining Society, 2016
Computational models that automatically detect learners' affective states are powerful tools for investigating the interplay of affect and learning. Over the past decade, affect detectors--which recognize learners' affective states at run-time using behavior logs and sensor data--have advanced substantially across a range of K-12 and postsecondary…
Descriptors: Models, Affective Behavior, Intelligent Tutoring Systems, Games
Wass, Sam V.; Porayska-Pomsta, Kaska – Autism: The International Journal of Research and Practice, 2014
In this review, we focus on research that has used technology to provide cognitive training--i.e. to improve performance on some measurable aspect of behaviour--in individuals with autism spectrum disorders. We review technology-enhanced interventions that target three different cognitive domains: (a) emotion and face recognition, (b) language and…
Descriptors: Pervasive Developmental Disorders, Autism, Technology Uses in Education, Cognitive Processes
Peer reviewedJackiw, Nicholas; Sinclair, Nathalie – Journal of Educational Computing Research, 2002
Proposes a whole-class view of microworld design in which the total ecology of students, technology, and teacher is considered by the decisions and choices of the design. Presents a case study analysis of a secondary school classroom implementation with a geometry microworld and discusses student affect, participation, and the role of educational…
Descriptors: Affective Behavior, Case Studies, Classroom Environment, Computer Software Development

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