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A New Web-Based Personalized Learning System Improves Student Learning Outcomes
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Sancenon, Vicente; Wijaya, Kharisma; Wen, Xavier Yue Shu; Utama, Diaz Adi; Ashworth, Mark; Ng, Kelvin Hongrui; Cheong, Alicia; Neo, Zhizhong – International Journal of Virtual and Personal Learning Environments, 2022
Although there is increasing acceptance that personalization improves learning outcomes, there is still limited experimental evidence supporting this claim. The aim of this study was to implement and evaluate the effectiveness of an adaptive recommendation system for Singapore primary and secondary education. The system leverages users trace data…
Descriptors: Academic Achievement, Electronic Learning, Learning Analytics, Learning Processes
Using a Sequential Multiple Assignment Randomized Trial (SMART) to Develop an Adaptive K-2 Literacy Intervention with Personalized Print Texts and App-Based Digital Activities
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Kim, James S.; Asher, Catherine A.; Burkhauser, Mary; Mesite, Laura; Leyva, Diana – AERA Open, 2019
This study employs a sequential multiple assignment randomized trial (SMART) design to develop an adaptive intervention with personalized print and digital content for kindergarten to Grade 2 children (n = 273). In Stage 1, we ask whether it is better for children to receive an adaptive intervention based on (a) 10 conceptually coherent texts or…
Descriptors: Computer Oriented Programs, Educational Technology, Technology Uses in Education, Randomized Controlled Trials
An Examination of the Promise of the NumberShire Level 1 Gaming Intervention for Improving Student Mathematics Outcomes
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Hank Fien; Christian T. Doabler; Nancy J. Nelson; Derek B. Kosty; Ben Clarke; Scott K. Baker – Grantee Submission, 2016
The purpose of this study was to test the promise of the NumberShire Level 1 Gaming Intervention (NS1) to accelerate math learning for first-grade students with or at risk for math difficulties. The NS1 intervention was developed through the Institute of Education Sciences, Small Business Innovation Research Program (Gause, Fien, Baker, &…
Descriptors: Mathematics Instruction, Grade 1, Elementary School Students, At Risk Students
An Examination of the Promise of the NumberShire Level 1 Gaming Intervention for Improving Student Mathematics Outcomes
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Direct linkDirect link
Hank Fien; Christian T. Doabler; Nancy J. Nelson; Derek B. Kosty; Ben Clarke; Scott K. Baker – Journal of Research on Educational Effectiveness, 2016
The purpose of this study was to test the promise of the NumberShire Level 1 Gaming Intervention (NS1) to accelerate math learning for first-grade students with or at risk for math difficulties. The NS1 intervention was developed through the Institute of Education Sciences, Small Business Innovation Research Program (Gause, Fien, Baker, &…
Descriptors: Mathematics Instruction, Grade 1, Elementary School Students, At Risk Students
Clustering and Profiling Students According to Their Interactions with an Intelligent Tutoring System Fostering Self-Regulated Learning
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Bouchet, Francois; Harley, Jason M.; Trevors, Gregory J.; Azevedo, Roger – Journal of Educational Data Mining, 2013
In this paper, we present the results obtained using a clustering algorithm (Expectation-Maximization) on data collected from 106 college students learning about the circulatory system with MetaTutor, an agent-based Intelligent Tutoring System (ITS) designed to foster self-regulated learning (SRL). The three extracted clusters were validated and…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Individualized Instruction