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Loksa, Dastyni; Margulieux, Lauren; Becker, Brett A.; Craig, Michelle; Denny, Paul; Pettit, Raymond; Prather, James – ACM Transactions on Computing Education, 2022
Metacognition and self-regulation are important skills for successful learning and have been discussed and researched extensively in the general education literature for several decades. More recently, there has been growing interest in understanding how metacognitive and self-regulatory skills contribute to student success in the context of…
Descriptors: Metacognition, Programming, Computer Science Education, Learning Processes
Cakir, Recep – Malaysian Online Journal of Educational Technology, 2019
This study aims to investigate the effect of Web-Based Intelligence Tutoring System on Students' Achievement and Motivation in the computer introduction course. For this purpose, an intelligent tutoring system called Office Master was designed and developed that can be reached on the internet. With this software, subjects are taught to students,…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Teaching Methods
Sullins, Jeremiah; Acuff, Samuel; Neely, Daniel; Hu, Xiangen – Journal of Educational Multimedia and Hypermedia, 2018
Is it possible to teach a learner to become a better question asker in as little as 25 minutes? Given that many teachers and school districts do not have the resources to provide individualized question training to students, the current study sought to explore the benefits of using animated pedagogical agents to teach question-asking skills in a…
Descriptors: Prior Learning, Questioning Techniques, Training, Intelligent Tutoring Systems
Steven Dang; Michael Yudelson; Kenneth R. Koedinger – Grantee Submission, 2017
The current study introduces a model for measuring student diligence using online behaviors during intelligent tutoring system use. This model is validated using a full academic year dataset to test its predictive validity against long-term academic outcomes including end-of-year grades and total work completed by the end of the year. The model is…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Educational Technology, Academic Achievement
Natsis, Antonis; Papadopoulos, Pantelis M.; Obwegeser, Nikolaus – Journal of Information Technology Education: Research, 2018
Aim/Purpose: This study aimed to explore whether students' self-reported use of various learning strategies affected their perceptions on different course activities as well as their perceived performance in terms of both cognitive learning outcomes and general skills. Background: In a highly active learning environment that incorporates research…
Descriptors: Information Systems, Student Attitudes, Learning Strategies, Skill Development
Jackson, G. Tanner; McNamara, Danielle S. – Journal of Educational Psychology, 2013
One strength of educational games stems from their potential to increase students' motivation and engagement during educational tasks. However, game features may also detract from principle learning goals and interfere with students' ability to master the target material. To assess the potential impact of game-based learning environments, in this…
Descriptors: Intelligent Tutoring Systems, Educational Games, Student Motivation, Learning
Lin, Hao-Chiang Koong; Wang, Cheng-Hung; Chao, Ching-Ju; Chien, Ming-Kuan – Turkish Online Journal of Educational Technology - TOJET, 2012
Emotional expression in Artificial Intelligence has gained lots of attention in recent years, people applied its affective computing not only in enhancing and realizing the interaction between computers and human, it also makes computer more humane. In this study, emotional expressions were applied into intelligent tutoring system, where learners'…
Descriptors: Foreign Countries, Intelligent Tutoring Systems, Artificial Intelligence, Focus Groups