Publication Date
| In 2026 | 0 |
| Since 2025 | 8553 |
| Since 2022 (last 5 years) | 52871 |
| Since 2017 (last 10 years) | 113742 |
| Since 2007 (last 20 years) | 196315 |
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 | 25991 |
| Teachers | 22537 |
| Researchers | 3961 |
| Students | 3479 |
| Administrators | 2311 |
| Policymakers | 1631 |
| Parents | 1091 |
| Media Staff | 844 |
| Counselors | 329 |
| Community | 275 |
| Support Staff | 148 |
| More ▼ | |
Location
| Australia | 8745 |
| Canada | 6981 |
| United Kingdom | 6079 |
| China | 6071 |
| Turkey | 5994 |
| United States | 3945 |
| Indonesia | 3567 |
| California | 3322 |
| United Kingdom (England) | 3042 |
| Japan | 2944 |
| Taiwan | 2823 |
| 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 |
Eric Schearer; Cameron LaMack; Hannah LaMack – Biomedical Engineering Education, 2025
Purpose: Measurable results of efforts to teach empathy to engineering students are sparse and somewhat mixed. This study's objectives are (O1) to understand how empathy training affects students' professional development relative to other educational experiences, (O2) to track empathy changes due to training over multiple years, and (O3) to…
Descriptors: Engineering Education, Empathy, Training, Disabilities
Chelsea Davis-Bibb – Practitioner to Practitioner, 2025
How can students use AI as a tool to assist them in the learning process? More importantly, how are students using AI and how is it impacting their learning? The purpose of this research study was to explore and understand the perceptions of students' experiences with AI tools and how it has impacted their learning experience. As AI continues to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Community College Students, Student Attitudes
Charlott Sellberg; Amit Sharma – International Journal of Computer-Supported Collaborative Learning, 2025
Collaborative learning in high-fidelity simulators is an important part of how master mariner students are preparing for their future career at sea by becoming part of a ship's bridge team. This study aims to inform the design of multimodal learning analytics to be used for providing automated feedback to master mariner students engaged in…
Descriptors: Cooperative Learning, Learning Analytics, Simulation, Ethnography
Frankie T. K. Fong; Daniel B. M. Haun – Child Development Perspectives, 2025
Recent empirical investigations have concentrated primarily on studying imitation as a social tool that satisfies social motivations, while other potential reasons for and forms of imitation have attracted less attention. These investigations have also focused on studying the role of pedagogy in imitative learning and set up most experiments in a…
Descriptors: Imitation, Fidelity, Learning Processes, Observational Learning
Yingbin Zhang; Luc Paquette; Nigel Bosch – International Journal of Artificial Intelligence in Education, 2025
Understanding the transitions among affective states during computer-based learning may guide the design of affect-responsive learning environments. Current studies have focused on the marginal strength of an affect transition, which is the average transition tendency over possible affective states preceding the transition. However, marginal…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Learning Experience
Suijing Yang; Jason M. Lodge; Cameron Brooks – Metacognition and Learning, 2025
Previous studies have reported the importance of regulation in collaborative learning. To understand and support students' learning, researchers have identified that regulation in collaboration emerges as a series of contingent activities at individual and social levels, addressing various learning foci in cognitive, motivational, emotional, and…
Descriptors: Metacognition, Cooperative Learning, Self Control, Learning Processes
Oudeng Jia; Qingsong Tan; Sihan Zhang; Ke Jia; Mengyuan Gong – npj Science of Learning, 2025
Reward-predictive items capture attention even when task-irrelevant. While value-driven attention typically generalizes to stimuli sharing critical reward-associated features (e.g., red), recent evidence suggests an alternative generalization mechanism based on feature relationships (e.g., redder). Here, we investigated whether relational coding…
Descriptors: Attention, Rewards, Interference (Learning), Coding
Alícia Villar-Aguilés; David Muñoz-Rodríguez – Journal of New Approaches in Educational Research, 2024
Expansion in higher education and changes in student profiles have led to an increase in non-linear trajectories that do not fit into a time frame considered standard. However, universities continue to establish success and failure parameters relating to performance indicators that do not consider the heterogeneity of trajectories. The theoretical…
Descriptors: In Person Learning, Electronic Learning, Higher Education, College Students
Tyler L. Hough; Isabelle A. Jenkins; Charlie Pierce; Ashley Bellet – Experiential Learning and Teaching in Higher Education, 2024
This paper explores the dualistic nature of experiential learning (EL) definitions in higher education, advocating for a balanced integration of broad and narrow constructs. Through case study and collaborative inquiry, diverse disciplinary perspectives--from engineering to performing arts and urban education--are examined to understand EL's…
Descriptors: Experiential Learning, Higher Education, Definitions, Interdisciplinary Approach
Stephen P. Gordon; Jovita M. Ross-Gordon – i.e.: inquiry in education, 2024
This article considers the potential benefits of integrating the knowledge base on adult learning with teacher inquiry. The first part of the article provides an overview of key concepts discussed in the literature on adult learning, including the characteristics of adult learners, self-directed learning, experiential learning, transformative…
Descriptors: Adult Learning, Adult Students, Student Characteristics, Independent Study
Wang Ziyi; Dong Xinchun; Chen Ye; Wang Zeyu; Marcin Bialas – British Journal of Special Education, 2024
This article investigates whether the use of instruments providing quantifiable force feedback in manual skill learning can assist students with learning difficulties. Under the same theoretical teaching model, one group (intervention group, n = 10) received education with quantitative force feedback for manual skills, while the other group…
Descriptors: Learning Disabilities, Experiential Learning, Conventional Instruction, Time Factors (Learning)
Zola Chi-Chin Lai – International Journal of Adult Education and Technology, 2025
This study examined the impact of a blended teaching approach versus traditional instruction on listening comprehension and strategy use among EFL students in a Taiwanese university. Using a quasi-experimental design, 103 low-intermediate students were divided into experimental (n=52) and control (n=51) groups over 18 weeks. The experimental group…
Descriptors: Blended Learning, Second Language Learning, Second Language Instruction, English (Second Language)
Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation
Albert Rof; Andrea Bikfalvi; Pilar Marques – TechTrends: Linking Research and Practice to Improve Learning, 2025
Microlearning is gaining ground in the higher education domain. Despite this trend, there is a lack of evidence of effectiveness when a large number of microlearning units are grouped to form a macrolearning programme. The purpose of this paper is to explore how and why a macrolearning affects students' self-efficacy. The originality of this paper…
Descriptors: Business Education, Teaching Methods, Computer Assisted Instruction, Critical Thinking
Ching-Yi Chang; Intan Setiani; Jie Chi Yang – Journal of Educational Computing Research, 2025
Traditional teaching methods often limit interactive learning, negatively impacting students' motivation and learning achievement. Moreover, fostering collaborative awareness and problem-solving skills is crucial for developing the core competencies of future nursing professionals. To address these challenges, this study proposed an escape…
Descriptors: Educational Games, Puzzles, Computer Assisted Instruction, Electronic Learning

Peer reviewed
Direct link
