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Sohum M. Bhatt; Wim Van Den Noortgate; Katrien Verbert – IEEE Transactions on Learning Technologies, 2024
Recommender systems are increasingly being used in university or online education. However, recommender systems still have not found major usage in K12 education. This may be because of the unique challenges that recommender systems face when used by a young and diverse population. However, recommender systems for K12 education could provide many…
Descriptors: Elementary Secondary Education, Artificial Intelligence, Educational Technology, Learning
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Ana Paula Juliana Perin; Deivid Eive dos S. Silva; Natasha M. C. Valentim – Informatics in Education, 2023
In Education 4.0, a personalized learning process is expected, and that students are the protagonist. In this new education format, it is necessary to prepare students with the skills and competencies of the 21st-Century, such as teamwork, creativity, and autonomy. One of the ways to develop skills and competencies in students can be through block…
Descriptors: Programming, High School Students, Learning, Learning Processes
Loralie B. Hurd – ProQuest LLC, 2023
Although everybody learns at their own pace, the traditional, standardized education system remains prevalent. Unfortunately, this traditional system does not meet all learner needs and results in low academic achievement as demonstrated by state and national standardized tests (Netcoh, 2017; Pennsylvania Department of Education, 2019c; Schwahn…
Descriptors: Elementary School Students, Mathematics, Individualized Instruction, Learning
Twyman, Janet S. – Center on Innovations in Learning, Temple University, 2018
This topic brief is one in a series on personalized learning prepared for Conversations with Innovators, 2018. Historically, the configuration of public education has been antithetical to variation for and across learners. The structure and process of today's educational system, having cut its teeth during the industrial revolution, emphasizes…
Descriptors: Individualized Instruction, Time on Task, Pacing, Educational Practices
Redding, Sam; Twyman, Janet – Center on Innovations in Learning, Temple University, 2018
Teachers are accustomed to gathering and analyzing data that show what a student knows, has learned, and has not yet learned. With this information, aggregated for the class, the teacher may alter her lesson plans to accelerate her pace or slow down to reteach. She may make notes to alter the lesson design for the next time she teaches the lesson.…
Descriptors: Student Behavior, Behavior Patterns, Learning, Individualized Instruction
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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
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Pardo, Abelardo; Bartimote-Aufflick, Kathryn; Shum, Simon Buckingham; Dawson, Shane; Gao, Jing; Gaševic, Dragan; Leichtweis, Steve; Liu, Danny; Martínez-Maldonado, Roberto; Mirriahi, Negin; Moskal, Adon Christian Michael; Schulte, Jurgen; Siemens, George; Vigentini, Lorenzo – Journal of Learning Analytics, 2018
The learning analytics community has matured significantly over the past few years as a middle space where technology and pedagogy combine to support learning experiences. To continue to grow and connect these perspectives, research needs to move beyond the level of basic support actions. This means exploring the use of data to prove richer forms…
Descriptors: Individualized Instruction, Data Analysis, Learning, Feedback (Response)
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Walker, Rebecca; Oliver, Rhonda; Mackenzie, Ross – Issues in Educational Research, 2020
Students are a key part of the learning and teaching feedback process. Hence their understandings, experiences and perceptions can provide valuable contributions in the identification of effective feedback practices. This paper reports on a study conducted within a larger research project which examined secondary school students' perceptions of…
Descriptors: Public Schools, Urban Schools, Feedback (Response), Learning
Wan, Sally Wai-Yan – ECNU Review of Education, 2020
Purpose: This exploratory study investigates the relationship between teachers' perceptions of professional learning communities (PLCs) and their differentiated instruction (DI) practice in a Hong Kong primary education context. Design/Approach/Methods: Three subsidized primary schools participated in the study. A total of 121 teachers completed…
Descriptors: Correlation, Teacher Attitudes, Elementary School Teachers, Professional Development
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Roberts-Mahoney, Heather; Means, Alexander J.; Garrison, Mark J. – Journal of Education Policy, 2016
Advanced by powerful venture philanthropies, educational technology companies, and the US Department of Education, a growing movement to apply "big data" through "learning analytics" to create "personalized learning" is currently underway in K-12 education in the United States. While scholars have offered various…
Descriptors: Elementary Secondary Education, Individualized Instruction, Educational Technology, Human Capital
Heacox, Diane; Cash, Richard M. – Free Spirit Publishing, 2019
With increasing numbers of students receiving gifted services every year, it is more important than ever to make certain we are meeting their unique learning needs in the classroom. Differentiated instruction for these learners must go beyond adjusting content levels, task complexity, or product choice--it must truly challenge and support learners…
Descriptors: Academically Gifted, Individualized Instruction, English Language Learners, Autism