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Direct linkGarcia, Consuelo; Privado, Jesús – Interactive Learning Environments, 2023
This article reports the findings of a study on cooperative factors that predict higher education students' satisfaction with using collaborative online tools. Although there is evidence of relationships between certain factors of teamwork and satisfaction in traditional groups that are guided by their teacher, little is known about what happens…
Descriptors: Student Satisfaction, Prediction, Personal Autonomy, Web Sites
Ma, Qing – Computer Assisted Language Learning, 2020
This study investigated how one type of learner-generated information and content, i.e. inter-group peer online feedback, provided on a wiki writing assignment for an English for Academic Purposes (EAP) course, could contribute to student L2 writing. Using a mixed method approach, more than 1000 entries of online peer comments were collected,…
Descriptors: English for Academic Purposes, Second Language Learning, Second Language Instruction, Collaborative Writing
Ayaburi, Emmanuel Wusuhon Yanibo – ProQuest LLC, 2017
This dissertation investigates the effect of observational learning in crowdsourcing markets as a lens to identify appropriate mechanism(s) for sustaining this increasingly popular business model. Observational learning occurs when crowdsourcing participating agents obtain knowledge from signals they observe in the marketplace and incorporate such…
Descriptors: Observational Learning, Electronic Publishing, Collaborative Writing, Web Sites
Kenett, Yoed N.; Levi, Effi; Anaki, David; Faust, Miriam – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections have been raised against this approach, mainly in its failure at predicting semantic priming. We…
Descriptors: Semantics, Priming, Cognitive Processes, Language Processing
Download full textFeng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
