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Joanna Vance – Journal of Faculty Development, 2025
This article explores how Los Angeles Pacific University (LAPU) uses its AI tool, Spark, to enhance student learning. Spark personalizes the learning experience, offers 24/7 tutoring, and fosters collaboration, leading to improved academic performance. The tool complements traditional teaching, providing equitable, accessible support to students…
Descriptors: Artificial Intelligence, Technology Uses in Education, Cooperation, Individualized Instruction
Luqman Hakim; Riza Yonisa Kurniawan; Mohamad Arief Rafsanjani; Moh. Danang Bahtiar; Aniek Hindrayani; Muhammad Hasan; Leny Noviani; Zain Fuadi Muhammad Roziqifath – Educational Process: International Journal, 2025
Background/purpose. The purpose of this research is to analyse and aim to develop a gamification-based learning tool. This is due to the diverse learning needs and responds to the challenge of differentiated learning that is student-centred in the classroom rather than teacher-centred. Materials/methods. The research method used is a research…
Descriptors: High School Students, Gamification, Economics Education, Individualized Instruction
Christine Feiss; Tanja Held; Gerda Hagenauer; Sandra Moroni – Educational Studies, 2025
This study examines the relationship between aspects of homework quality (embedding homework in the teaching-learning process and differentiation), students' anger experienced while completing German homework (language of instruction), and orthography performance. In total, 410 students from 23 eighth-grade classes in the Swiss canton of Bern have…
Descriptors: Educational Quality, Homework, Psychological Patterns, Foreign Countries
Yuan Liu; Yongquan Dong; Chan Yin; Cheng Chen; Rui Jia – Education and Information Technologies, 2024
The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model…
Descriptors: MOOCs, Online Courses, Models, Course Selection (Students)
Yicong Zheng; Aike Shi; Xiaonan L. Liu – npj Science of Learning, 2024
This Perspective article expands on a working memory-dependent dual-process model, originally proposed by Zheng et al., to elucidate individual differences in the testing effect. This model posits that the testing effect comprises two processes: retrieval-attempt and post-retrieval re-encoding. We substantiate this model with empirical evidence…
Descriptors: Short Term Memory, Models, Individual Differences, Testing
Ya Xiao; Khe Foon Hew – Interactive Learning Environments, 2024
In recent years, many studies have highlighted the need to go beyond the "one-size-fits-all" gamification approach to tailored or personalised gamification to optimise students' engagement based on their user attributes. However, little is known about its effectiveness on student engagement. To advance the understanding of personalized…
Descriptors: Individualized Instruction, Gamification, Student Participation, Learner Engagement
Baginda Anggun Nan Cenka; Harry B. Santoso; Kasiyah Junus – Interactive Learning Environments, 2024
This study presents a panoramic overview of research conducted between 2010 and 2020 on how the Personal Learning Environment (PLE) supports Self-Regulated Learning (SRL). We elaborate on why the PLE is suitable for SRL, discuss its research themes, explain how the PLE supports SRL and outline the available PLE platforms. The review method we used…
Descriptors: Educational Environment, Self Management, Learning Strategies, Educational Research
Buzick, Heather M.; Casabianca, Jodi M.; Gholson, Melissa L. – Educational Measurement: Issues and Practice, 2023
The article describes practical suggestions for measurement researchers and psychometricians to respond to calls for social responsibility in assessment. The underlying assumption is that personalizing large-scale assessment improves the chances that assessment and the use of test scores will contribute to equity in education. This article…
Descriptors: Achievement Tests, Individualized Instruction, Evaluation Methods, Equal Education
Kelly, Katie – Reading Teacher, 2023
This article describes the Four-N-Framework for responding to readers through focused and intentional individualized dynamic formative feedback. Making ongoing informed data-driven instructional decisions and effective actionable feedback supports students' reading growth and fosters lifelong readers. This easy-to-implement process can support…
Descriptors: Teaching Methods, Reading Instruction, Individualized Instruction, Formative Evaluation
Rahayu, Nur W.; Ferdiana, Ridi; Kusumawardani, Sri S. – Education and Information Technologies, 2023
Learning path recommender systems are emerging. Given the popularity of ontology/knowledge-based systems in adaptive learning, this work reviews learning path in ontology-based recommender systems. The review covers recommendation trends, ontology use, recommendation process, recommendation technique, contributing factors, and recommender…
Descriptors: Artificial Intelligence, Learning Processes, Educational Technology, Individualized Instruction
Katherine A. Valentine; Adrea J. Truckenmiller – Intervention in School and Clinic, 2025
Educators are faced with many decisions regarding supporting students' writing. While writing achievement and curriculum-based measure scores provide numbers that are important for high-stakes decisions like determining special education eligibility, they do not provide educators with information on a student's explicit instruction needs. Written…
Descriptors: Writing Evaluation, Writing Skills, Student Evaluation, Special Education
Nurassyl Kerimbayev; Karlygash Adamova; Rustam Shadiev; Zehra Altinay – Smart Learning Environments, 2025
This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 ?articles on the topic. Materials were checked for compliance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Computer Software, Databases
Jeni Gotto; Oliver Grenham; Brian J. Kosena; Robert J. Marzano; Pamela Swanson – Solution Tree, 2025
Westminster Public Schools (WPS) in Colorado has embarked on a transformative journey toward competency-based education. Through strategic planning and continuous improvement, WPS developed a learner-centered system prioritizing personalized learning and student agency. Their road map--rooted in shared vision and second-order change--highlights…
Descriptors: Public Schools, Competency Based Education, Student Centered Learning, Individualized Instruction
Rani Van Schoors; Jan Elen; Annelies Raes; Stefanie Vanbecelaere; Kamakshi Rajagopal; Fien Depaepe – Technology, Knowledge and Learning, 2025
The ever-evolving landscape of education is constantly intersecting with rapid advances in technology. Digital personalized learning (DPL)--learning which occurs in a digital learning environment that adapts to the individual learner--is believed to benefit both students and teachers. While DPL is believed to benefit students and teachers, there…
Descriptors: Teacher Attitudes, Electronic Learning, Individualized Instruction, Theory Practice Relationship
Ana M. Hernández; Annette Daoud – TESOL Journal, 2025
This study examined bilingual preservice teachers' self-efficacy in the context of lesson differentiation for multilingual learners in Spanish. Thirty-six bilingual preservice teachers across three California State University programs participated in a quantitative methods study of lesson plan analysis. Findings showed that preservice teachers…
Descriptors: Preservice Teachers, Bilingualism, Self Efficacy, Individualized Instruction

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