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Yang, Christopher C. Y.; Ogata, Hiroaki – Education and Information Technologies, 2023
The application of student interaction data is a promising field for blended learning (BL), which combines conventional face-to-face and online learning activities. However, the application of online learning technologies in BL settings is particularly challenging for students with lower self-regulatory abilities. In this study, a personalized…
Descriptors: Individualized Instruction, Learning Analytics, Intervention, Academic Achievement
Deborah K. Reed – Grantee Submission, 2023
Middle schools implementing a multi-tiered system of supports will provide adolescents with or at risk for reading difficulties supplemental, small-group reading intervention classes. Although numerous studies have established that peer collaboration, blended learning, differentiation, and sufficient time for instruction are effective practices…
Descriptors: Intervention, Reading Comprehension, Reading Instruction, Middle School Students
Deborah K. Reed – Middle School Journal, 2023
Middle schools implementing a multi-tiered system of supports will provide adolescents with or at risk for reading difficulties supplemental, small-group reading intervention classes. Although numerous studies have established that peer collaboration, blended learning, differentiation, and sufficient time for instruction are effective practices…
Descriptors: Intervention, Reading Comprehension, Reading Instruction, Middle School Students
Sheri Mistretta – New England College Journal of Applied Educational Research, 2025
Our methods to reach all students are no longer effective for the student body before us. Many students are struggling with stress, inattention in class, and absences from school. A significant number of our students are struggling to get to and stay in school. In addition to these issues, students are struggling to find relevance in their…
Descriptors: Individualized Instruction, Pacing, Mastery Learning, Blended Learning
Doss, Christopher; Steiner, Elizabeth D. – Center on Reinventing Public Education, 2022
The proliferation of settings in which personalized learning platforms have been used during the pandemic offers rich opportunities for describing those use cases and understanding how such platforms might affect students' academic, social, and emotional outcomes. There is relatively little known about which use cases provide the best outcomes for…
Descriptors: Individualized Instruction, Small Schools, COVID-19, Pandemics
Han, Feifei; Ellis, Robert A. – Educational Technology & Society, 2021
One of the major objectives of precision education is to improve prediction of educational outcome. This study combined theory-driven and data-driven approaches to address the limitations of current practice of predicting learning outcomes only using a single approach. The study identified the online learning patterns by using students'…
Descriptors: Grade Prediction, Electronic Learning, Blended Learning, Academic Achievement
Xu, Zhuojia; Yuan, Hua; Liu, Qishan – IEEE Transactions on Education, 2021
Contribution: This article explored blended learning by implementing a student-centered teaching method based on the flipped classroom and small private online course (SPOC). The impact of general online learning behavior on student performance was analyzed. This work is practical and provides enlightenment for learning analysis and individualized…
Descriptors: Academic Achievement, Blended Learning, Prediction, Performance Factors
Zhang, Jia-Hua; Zou, Liu-cong; Miao, Jia-jia; Zhang, Ye-Xing; Hwang, Gwo-Jen; Zhu, Yue – Interactive Learning Environments, 2020
Extensive studies have been conducted to diagnose and predict students' academic performance by analyzing a large amount of data related to their learning behaviors in a blended learning environment. But there is a lack of research examining how individualized learning interventions could improve students' academic performance in such a learning…
Descriptors: Individualized Instruction, Academic Achievement, Interaction, Blended Learning
Dziuban, Charles; Moskal, Patsy; Parker, Liza; Campbell, Maria; Howlin, Colm; Johnson, Connie – Online Learning, 2018
This study represents an adaptive learning partnership among the University of Central Florida, Colorado Technical University, and the adaptive learning provider Realizeit. A 13-variable learning domain for students forms the basis of a component invariance study. The results show that four dimensions--knowledge acquisition, engagement activities,…
Descriptors: Individualized Instruction, Partnerships in Education, Online Courses, Academic Achievement
Pardo, Abelardo; Jovanovic, Jelena; Dawson, Shane; Gaševic, Dragan; Mirriahi, Negin – British Journal of Educational Technology, 2019
There is little debate regarding the importance of student feedback for improving the learning process. However, there remain significant workload barriers for instructors that impede their capacity to provide timely and meaningful feedback. The increasing role technology is playing in the education space may provide novel solutions to this…
Descriptors: Learning, Data Analysis, Feedback (Response), Technology Uses in Education
Penikas, Darius J. – ProQuest LLC, 2019
The past century has brought unimaginable change and technological innovation. Today's students will need different skills and capabilities to be successful professionals and contributors to their society. Despite this undeniable level of change, basic educational practices in most American schools have remained largely unchanged from the…
Descriptors: Educational Technology, Technology Uses in Education, Internet, Blended Learning
Brodersen, R. Marc; Melluzzo, Daniel – Regional Educational Laboratory Central, 2017
This report summarizes the methodology, measures, and findings of research on the influence on student achievement outcomes of K-12 online and blended face-to-face and online learning programs that offer differentiated learning options. The report also describes the characteristics of the learning programs. Most of the examined programs used…
Descriptors: Educational Research, Electronic Learning, Blended Learning, Individualized Instruction
Balentyne, Phoebe; Varga, Mary Alice – Journal of Computers in Mathematics and Science Teaching, 2016
As online and blended learning gain more popularity in education, it becomes more important to understand their effects on student learning. The purpose of this study was to explore the effects of self-paced blended learning of mathematics on the attitudes and achievement of 26 high ability middle school students, and investigate the relationship…
Descriptors: Individualized Instruction, Pacing, Blended Learning, Mathematics Instruction
Tyler, B. David; Cruz, Laura E. – Journal of the Scholarship of Teaching and Learning, 2016
Educators and administrators are exploring competency-based education as an effective and efficient method to facilitate student learning. This reinforces a burgeoning neo-behaviorist movement in higher education which seeks to synthesize such behaviorist approaches with the cognitive focus of the last 20 years. The current research examines the…
Descriptors: Competency Based Education, Thinking Skills, Student Reaction, Comparative Analysis
Donley, Jan – Center on Innovations in Learning, Temple University, 2019
The Center on Innovations in Learning (CIL) is a national content center established to work with regional comprehensive centers and state education agencies (SEA) to build SEAs' capacity to stimulate, select, implement, and scale up innovation in learning. This report is a collection of evidence ratings and practice briefs. The categories for…
Descriptors: State Departments of Education, Capacity Building, Educational Practices, Best Practices
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