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David DeLiema; Jeffrey K. Bye; Vijay Marupudi – ACM Transactions on Computing Education, 2024
Learning to respond to a computer program that is not working as intended is often characterized as finding a singular bug causing a singular problem. This framing underemphasizes the wide range of ways that students and teachers could notice discrepancies from their intention, propose causes of those discrepancies, and implement interventions.…
Descriptors: Computer Software, Troubleshooting, Intention, Intervention
Ritella, Giuseppe; Loperfido, Fedela Feldia; De Giglio, Gianfranco; Scurani, Antonietta; Ligorio, Maria Beatrice – Dialogic Pedagogy, 2022
This article explores how the adoption of educational robotics, cloud-based animation software, and simplified visual programming software can provide valuable opportunities for dialogic interaction and learning. The potentialities of this type of activity are often overlooked in dialogic investigations. Based on empirical illustration, we discuss…
Descriptors: Robotics, Animation, Computer Software, Interaction
Cheng, Ya-Wen; Wang, Yuping; Cheng, I-Ling; Chen, Nian-Shing – Interactive Learning Environments, 2019
Collaborative learning has long been proved to be a crucial agent for enhancing students' social skills, problem-solving abilities and individual learning performance. Understanding how students move from one phase to another in their collaboration process can inform educators of how best to facilitate such learning. However, this is still an area…
Descriptors: Interaction, Computer Simulation, Mathematics Activities, Computer Games
Fields, Deborah; Enyedy, Noel – Mind, Culture, and Activity, 2013
Changing an established role in a classroom is difficult. It involves constructing a new set of relations within a community. In this article we investigate how students with newly developed interest and experience in programming developed outside the classroom pick up and establish their roles as experts in programming within the classroom…
Descriptors: Programming, Computer Software, Expertise, Peer Teaching
Kizilkaya, Gonca; Askar, Petek – Interactive Technology and Smart Education, 2008
Purpose: The purpose of this paper is to investigate the effect of an embedded pedagogical agent into a tutorial on achievement. Design/methodology/approach: Research methodology is designed according to the post test control group model in which the experimental group (69 students) was exposed to a tutorial with an embedded pedagogical agent;…
Descriptors: Experimental Groups, Control Groups, Instructional Design, Science Achievement
Blythe, John M. – Australian Journal of Educational & Developmental Psychology, 2006
This pilot study investigated the efficacy of "Phonics Alive 2: The Sound Blender", a computer-based phonological skills training program, delivered with both at-home and at-school components over a 10-week period, as a potential treatment of phonological dyslexia. Participants were 20 dyslexic primary students with an average delay of…
Descriptors: Reading Comprehension, Dyslexia, Interaction, Decoding (Reading)
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2014
These proceedings contain the papers of the 11th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2014), October 25-27, 2014, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Teaching Methods, Technological Literacy, Technology Uses in Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection

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