NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Does not meet standards1
Showing 46 to 60 of 831 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Hernandez Cardenas, Lizette Susana; Castano, Leticia; Cruz Guzman, Cristina; Nigenda Alvarez, Juan Pablo – Australasian Journal of Educational Technology, 2022
This study's innovative objective was to develop a personalised learning model to equate students' entry level knowledge as they entered the School of Medicine and Health Sciences at Tecnologico de Monterrey in Mexico in 2019. This was necessitated by a difference in the depth and approach to preparatory content. The methodology focused on…
Descriptors: Foreign Countries, Knowledge Level, Medical Schools, Health Sciences
Peer reviewed Peer reviewed
Direct linkDirect link
Ghallabi, Sameh; Essalmi, Fathi; Jemni, Mohamed; Kinshuk – Education and Information Technologies, 2020
With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…
Descriptors: Electronic Learning, Internet, Information Storage, Models
Peer reviewed Peer reviewed
Direct linkDirect link
White, Jamison; Huang, Lifei – Journal of School Choice, 2022
We seek to build a framework with which researchers can track the trends in charter school specialization and parents can better understand their options. This report examines the entire charter school population operating in the 2018-19 school year and calculates the rate of specialization among charter schools based on key terms found on their…
Descriptors: Charter Schools, Educational Innovation, Models, Specialization
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Fiedler, Sebastian H. D.; Väljataga, Terje – Interactive Learning Environments, 2020
This paper argues for conceptualizing the notion of personal learning environments in higher education from an explicit adult education perspective that emphasizes the realization, re-instrumentation, and integration of learning activity in the wider context of adult life. It discusses and re-interprets an existing proposal for modeling "the…
Descriptors: Individualized Instruction, Adult Students, Adult Education, Higher Education
Dixson, Dante D.; Peters, Scott J.; Makel, Matthew C.; Jolly, Jennifer L.; Matthews, Michael S.; Miller, Erin M.; Rambo-Hernandez, Karen E.; Rinn, Anne N.; Robins, Jennifer H.; Wilson, Hope E. – Phi Delta Kappan, 2021
Schools exist to educate, yet the emphasis on age-based, grade-level standards fails to account for the wide range of academic readiness that exists in every classroom. Special education programs exist to meet student needs; gifted education should be no different. The authors, all gifted education researchers, present a vision for a model of…
Descriptors: Academically Gifted, Gifted Education, Student Needs, Response to Intervention
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Abby Mcguire; Warda Qureshi; Mariam Saad – International Journal of Technology in Education, 2024
Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging…
Descriptors: Constructivism (Learning), Models, Artificial Intelligence, Individualized Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mabasa-Manganyi, R. B.; Mamabolo, J. M.; Sepadi, M. D.; Kgopa, F.; Ndlhovu, S. M.; Themane, M. – South African Journal of Education, 2022
With this article, we investigate how primary school teachers create enabling environments to accommodate diversity in their classrooms. In the study reported on here, we used the qualitative research approach and a case study research design was adopted. Five primary school teachers were recruited through purposive sampling to participate in the…
Descriptors: Foreign Countries, Classroom Environment, Diversity, Elementary School Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Xinyang; Ardakani, Saeid Pourroostaei – Education and Information Technologies, 2022
The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
Learning systems can utilize many practice exercises, ranging from simple multiple-choice questions to complex problem-solving activities. In this article, we propose a classification framework for such exercises. The framework classifies exercises in three main aspects: (1) the primary type of interaction; (2) the presentation mode; and (3) the…
Descriptors: Integrated Learning Systems, Classification, Multiple Choice Tests, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Nóvoa, António; Alvim, Yara – Prospects: Quarterly Review of Comparative Education, 2020
This Viewpoint argues that the debates about the future of education and the need to rethink the school model started long before the pandemic crisis. But the situation we are experiencing has accelerated this need and showed that changes are possible. Consumerist trends in education have been accentuated, now with the massive use of digital…
Descriptors: COVID-19, Pandemics, Educational Trends, Futures (of Society)
Bander Ayed Allogmany – ProQuest LLC, 2023
Advances in data analytics and intelligent technologies are enabling smart learning environments that promote personalized learning. Personalized learning systems where learners engage with information in a manner tailored to their unique needs, goals, and abilities have garnered significant academic research attention. If students can achieve…
Descriptors: Individualized Instruction, Learning Management Systems, Artificial Intelligence, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Eric Alan Common; Mark Matthew Buckman; Kathleen Lynne Lane; Wendy Peia Oakes; David James Royer; Sandra Chafouleas; Amy Briesch; Rebecca Sherod – Education and Treatment of Children, 2021
We report findings from a multistate survey of 720 faculty and staff from 25 elementary schools in five districts across three states and geographic regions participating in an IES Network grant examining integrated tiered systems. In this preregistered study, we replicated and extended previous inquiry examining educators' views of (1)…
Descriptors: Faculty Development, Needs Assessment, Program Implementation, Models
Eric Alan Common; Mark Matthew Buckman; Kathleen Lynne Lane; Wendy Peia Oakes; David James Royer; Sandra Chafouleas; Amy Briesch; Rebecca Sherod – Grantee Submission, 2021
We report findings from a multistate survey of 720 faculty and staff from 25 elementary schools in five districts across three states and geographic regions participating in an IES Network grant examining integrated tiered systems. In this preregistered study, we replicated and extended previous inquiry examining educators' views of (1)…
Descriptors: Faculty Development, Needs Assessment, Program Implementation, Models
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  56