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Phillips, Andrea; Pane, John F.; Reumann-Moore, Rebecca; Shenbanjo, Oluwatosin – Educational Technology Research and Development, 2020
Evidence is emerging that technology-based curricula and adaptive learning systems can personalize students' learning experiences and facilitate development of mathematical skills. Yet, evidence of efficacy in rigorous studies for these blended instructional models is mixed. These studies highlight challenges implementing the systems in…
Descriptors: Intelligent Tutoring Systems, Program Implementation, Computer Software, Mathematics Skills
Phillips, Andrea; Pane, John F.; Reumann-Moore, Rebecca; Shenbanjo, Oluwatosin – Grantee Submission, 2020
Evidence is emerging that technology-based curricula and adaptive learning systems can personalize students' learning experiences and facilitate development of mathematical skills. Yet, evidence of efficacy in rigorous studies for these blended instructional models is mixed. These studies highlight challenges implementing the systems in…
Descriptors: Intelligent Tutoring Systems, Program Implementation, Computer Software, Mathematics Skills
Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing
Pane, John F.; Griffin, Beth Ann; McCaffrey, Daniel F.; Karam, Rita; Daugherty, Lindsay; Phillips, Andrea – Grantee Submission, 2013
This large-scale effectiveness trial found a significant positive effect for high schools using Cognitive Tutor Algebra I (CTAI) in their second year of implementation, relative to similar schools that continued to use existing textbook-based algebra curricula. This positive result is important for educators and policymakers seeking ways to…
Descriptors: Mathematics Instruction, Algebra, Intelligent Tutoring Systems, Computer Software
Bernacki, Matthew L.; Nokes-Malach, Timothy J.; Aleven, Vincent – Metacognition and Learning, 2015
Self-regulated learning (SRL) theorists propose that learners' motivations and cognitive and metacognitive processes interact dynamically during learning, yet researchers typically measure motivational constructs as stable factors. In this study, self-efficacy was assessed frequently to observe its variability during learning and how learners'…
Descriptors: Self Efficacy, Metacognition, Cues, Algebra
Xu, Wei; Zhao, Ke; Li, Yatao; Yi, Zhenzhen – International Journal of Distance Education Technologies, 2012
Determining how to provide good tutoring functions is an important research direction of intelligent tutoring systems. In this study, the authors develop an intelligent tutoring system with good tutoring functions, called "FUDAOWANG." The research domain that FUDAOWANG treats is junior middle school mathematics, which belongs to the objective…
Descriptors: Tutoring, Intelligent Tutoring Systems, Computer Software, Problem Solving
Kuhn, Matt; Dempsey, Kathleen – Learning & Leading with Technology, 2011
In 1999, Richard Lee Colvin published an article in "The School Administrator" titled "Math Wars: Tradition vs. Real-World Applications" that described the pendulum swing of mathematics education reform. On one side are those who advocate for computational fluency, with a step-by-step emphasis on numbers and skills and the…
Descriptors: Feedback (Response), Problem Solving, Mathematics Education, Intelligent Tutoring Systems
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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