Publication Date
| In 2026 | 89 |
| Since 2025 | 9593 |
| Since 2022 (last 5 years) | 53916 |
| Since 2017 (last 10 years) | 114790 |
| Since 2007 (last 20 years) | 197363 |
Descriptor
Source
Author
| Hwang, Gwo-Jen | 164 |
| Ediger, Marlow | 160 |
| Fuchs, Lynn S. | 151 |
| Tsai, Chin-Chung | 147 |
| Vaughn, Sharon | 139 |
| Mayer, Richard E. | 127 |
| Swanson, H. Lee | 117 |
| Fuchs, Douglas | 108 |
| Graham, Steve | 108 |
| Slavin, Robert E. | 98 |
| Levin, Joel R. | 93 |
| More ▼ | |
Publication Type
Education Level
Audience
| Practitioners | 26001 |
| Teachers | 22569 |
| Researchers | 3969 |
| Students | 3484 |
| Administrators | 2315 |
| Policymakers | 1650 |
| Parents | 1092 |
| Media Staff | 845 |
| Counselors | 329 |
| Community | 275 |
| Support Staff | 148 |
| More ▼ | |
Location
| Australia | 8781 |
| Canada | 7000 |
| China | 6118 |
| United Kingdom | 6088 |
| Turkey | 6019 |
| United States | 3956 |
| Indonesia | 3601 |
| California | 3333 |
| United Kingdom (England) | 3052 |
| Japan | 2954 |
| Taiwan | 2837 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 165 |
| Meets WWC Standards with or without Reservations | 266 |
| Does not meet standards | 214 |
John Michael D. Aquino; Leah E. Perez – Journal of Learning for Development, 2025
Opportunities and challenges in the integration of Artificial Intelligence (AI) in education require thorough exploration, particularly in the context of Open and Distance Learning (ODL). This study examines faculty members' perceptions of AI's role, opportunities, and the challenges faced in its implementation to develop policy recommendations.…
Descriptors: Teacher Educators, Teacher Attitudes, Artificial Intelligence, Computer Uses in Education
Dwi Sulistyaningsih; Stevanus Budi Waluya; Isnarto; Sugiman – Educational Process: International Journal, 2025
Background/purpose: This study aims to analyze students' ability to solve differential calculus problems in relation to their prior mathematical knowledge (PMK). Materials/methods: A qualitative research design method was employed. Participants in this study were 103 third-semester students at the university enrolled in the Differential Calculus…
Descriptors: College Students, Mathematics Education, Calculus, College Mathematics
Yerin Seung; James D. Basham; Taehyun Kim; Jennifer Lohoefener – Journal of Computer Assisted Learning, 2025
Background: Artificial intelligence (AI) can support more personalised learning in K-12 education, reshaping the educational experience for all students. However, little is known about how AI is being designed and implemented to support accessible and equitable learning experiences for all students, including those with disabilities and academic…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Student Diversity
Sara Conde-Vélez; Manuel Delgado-García; María Pilar García-Rodríguez – European Journal of Education, 2025
We studied learning environments using the instrument "Educational learning environments for students in Compulsory Secondary Education" (García-Rodríguez et al. 2023). A sample of 4683 students from 23 secondary schools in Andalusia (Spain). We analysed secondary school pupils' perceptions of learning environments and motivation, based…
Descriptors: Secondary School Students, Student Attitudes, Educational Environment, Learning Motivation
Jing Tian; Grace Bennett-Pierre; Nadia Tavassolie; Xinhe Zhang; Emily D'Antonio; Lexi Sylverne; Nora S. Newcombe; Marsha Weinraub; Annemarie Hindman; Kristie Newton; Elizabeth A. Gunderson – Mind, Brain, and Education, 2025
The frequency of home spatial activities (e.g., puzzles and blocks) correlates with young children's spatial skills, but causal evidence is limited. We addressed this issue by comparing the effects of a parent-led intervention aimed at increasing spatial activities to an active control targeting narrative activities (preregistered:…
Descriptors: Spatial Ability, Intervention, Parents as Teachers, Young Children
Jianzhong Xu – Educational Psychology, 2025
This study classified profiles of homework approaches involving eighth graders in China, regarding the likely combinations of surface and deep approaches to homework. Latent profile analysis (LPA) identified five distinct homework approach profiles: "High Deep/Low Surface", "Low Deep/Low Surface", "Moderate Deep/Moderate…
Descriptors: Homework, Middle School Students, Academic Achievement, Grade 8
Naomi H. Rodgers; Yanchen Zhang; Philip Combiths; Elizabeth A. Walker – Language, Speech, and Hearing Services in Schools, 2025
Purpose: Many students with communication disorders have unique social-emotional needs, yet school speech-language pathologists (SLPs) are not typically trained in how to address those needs. We developed a new training (STIRS [SLP Training to Increase Resilience in Students]) to equip elementary school SLPs to embed social-emotional learning…
Descriptors: Social Emotional Learning, Speech Language Pathology, Allied Health Personnel, Elementary School Students
Zahra Zarei Hajiabadi; John Sandars; Roghayeh Gandomkar – Anatomical Sciences Education, 2025
The aim of this study was to explore the longitudinal development of the key self-regulated learning (SRL) processes in medical students with low-academic performance during a combined SRL diary intervention. Second-year medical students with low-academic performance completed a weekly online combined SRL diary intervention (explicit SRL…
Descriptors: Medical Students, Academic Achievement, Low Achievement, Independent Study
Lin Li; Namrata Srivastava; Jia Rong; Quanlong Guan; Dragan Gaševic; Guanliang Chen – British Journal of Educational Technology, 2025
The use of predictive analytics powered by machine learning (ML) to model educational data has increasingly been identified to exhibit bias towards marginalized populations, prompting the need for more equitable applications of these techniques. To tackle bias that emerges in training data or models at different stages of the ML modelling…
Descriptors: Bias, Attitude Change, Prediction, Learning Analytics
Jillian C. Ford; Misty D. Lambert; Travis D. Park; Joseph L. Donaldson; Barbara A. Fair – Journal of Agricultural Education, 2025
Supervised Agricultural Experiences (SAE) are one of three major components of School-Based Agricultural Education (SBAE), but teachers have recognized many barriers to fully implementing them in their programs. SAE for All was adopted in 2015 and implementation resources were made available in 2017 to address these barriers. This study…
Descriptors: Agricultural Education, Access to Education, Agriculture Teachers, Work Based Learning
Ashley R. Hartman; David M. Grieger; Karol E. Fike – NACTA Journal, 2025
An animal reproduction course is a common degree program requirement of animal science majors though variation exists as to how learning outcomes are achieved. Universities either offer laboratory experiences as a part of their lecture content or as a separate course, which may or may not be required depending on the university, and others offer…
Descriptors: Animal Husbandry, Agricultural Education, Laboratories, Lecture Method
Mounia Machkour; Latifa Lamalif; Sophia Faris; Khalifa Mansouri – Educational Process: International Journal, 2025
Background/purpose: This study addresses the problem of demotivation generated by traditional assessment methods, which are often standardized, unengaging, and ill-suited to individual differences. In an increasingly digitized educational context, the primary objective is to assess the ability of an adaptive assessment system, developed on the…
Descriptors: Foreign Countries, High School Seniors, Student Evaluation, Student Motivation
James Russo; Toby Russo – Mathematics Teacher Education and Development, 2025
Mathematical games are widely used in primary school classrooms, yet the activities that are labelled as "games" vary considerably in their structure, cognitive demands, and potential to support student reasoning. This conceptual paper offers a typology that distinguishes between pseudo-games, superficial games, gamification, and…
Descriptors: Mathematics Education, Elementary School Mathematics, Gamification, Game Based Learning
Jessica L. Alzen; Jason Y. Buell; Kelsey Edwards; Chris D. Griesemer; Yang Zhang; Cynthia Passmore; William R. Penuel; Brian J. Reiser – Science Education, 2025
Reform-oriented science classrooms encourage environments in which students engage in a collective enterprise of making sense of their science ideas together. Teachers who strive for these sorts of environments support students in collaboratively constructing and answering their own questions about phenomena and making sense of competing ideas…
Descriptors: Science Education, Expectation, Risk, Classroom Environment
Yessy Aprihatin; Linda Andriani; Erpita Yanti; Armaita Armaita; Linda Marni – Open Education Studies, 2025
The high divorce rate in Pariaman, West Sumatra, Indonesia, hurts children's psychology, reduces self-confidence and learning motivation. Based on previous research, it appears that no studies have examined the coping mechanisms of parents who are divorced and their impact on the study motivation of high school students in a family environment.…
Descriptors: Foreign Countries, Divorce, Parents, High School Students

Peer reviewed
Direct link
