Publication Date
| In 2026 | 10 |
| Since 2025 | 1791 |
| Since 2022 (last 5 years) | 8947 |
| Since 2017 (last 10 years) | 20792 |
| Since 2007 (last 20 years) | 42103 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Teachers | 1491 |
| Practitioners | 997 |
| Researchers | 608 |
| Administrators | 233 |
| Students | 150 |
| Policymakers | 126 |
| Parents | 125 |
| Counselors | 106 |
| Media Staff | 28 |
| Support Staff | 19 |
| Community | 15 |
| More ▼ | |
Location
| Australia | 1577 |
| United Kingdom | 1113 |
| Canada | 1074 |
| China | 970 |
| Turkey | 901 |
| United Kingdom (England) | 666 |
| United States | 632 |
| Germany | 620 |
| California | 523 |
| Netherlands | 510 |
| Taiwan | 407 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 35 |
| Meets WWC Standards with or without Reservations | 50 |
| Does not meet standards | 49 |
Ashlee Buffington – ProQuest LLC, 2025
Staff education has a significant impact on evidence-based practice and safe care. It is imperative for health professionals to be educated to deliver patient-centered care as members of an interdisciplinary team, emphasizing evidence-based practice, quality improvement approaches, and informatics. It is essential to employing evidence-based care.…
Descriptors: Nursing Education, Professional Development, Nurses, Medical Services
Christian Coenen; Mirjam Pfenninger – New Directions for Teaching and Learning, 2025
This article examines the transformative impact of generative artificial intelligence (GenAI) in enhancing feedback quality in a Bachelor of Science course. It the challenges of providing personalized, timely feedback to students in larger educational settings, focusing on the use of GenAI to analyze and respond to student logbooks. These logbooks…
Descriptors: Learning Experience, Student Evaluation, Artificial Intelligence, Feedback (Response)
Austin Wyman; Zhiyong Zhang – Grantee Submission, 2025
Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection programs that are accessible to R programmers: Google Cloud Vision, Amazon Rekognition, and…
Descriptors: Artificial Intelligence, Algorithms, Computer Software, Identification
Mengke Wang; Taotao Long; Na Li; Yawen Shi; Zengzhao Chen – Education and Information Technologies, 2025
Feedback plays an indispensable role in pre-service teachers' microteaching practice. It provides essential information about their microteaching performance, which is of great significance in their reflection and improvement. As AI and teaching analytics advance, feedback is no longer exclusively human-generated. AI technologies are increasingly…
Descriptors: Feedback (Response), Preservice Teachers, Microteaching, Reflection
Suping Yi; Wayan Sintawati; Yibing Zhang – Journal of Computer Assisted Learning, 2025
Background: Natural language processing (NLP) and machine learning technologies offer significant advantages, such as facilitating the delivery of reflective feedback in collaborative learning environments while minimising technical constraints for educators related to time and location. Recently, scholars' interest in reflective feedback has…
Descriptors: Reflection, Feedback (Response), Cooperative Learning, Natural Language Processing
Sebastian J. Blake – Australian Review of Applied Linguistics, 2025
This paper uses a thematic narrative analysis approach to explore the experiences of individuals who support those living with literacy gaps in Australia. Themes of collective shame and responsibility surrounding adult literacy gaps, as well as the communicative expertise and critical reflexivity developed by supporters in their roles, are…
Descriptors: Foreign Countries, Adults, Adult Literacy, Personal Narratives
Karly S. Ford; Megan Holland Iantosca; Leandra Cate – Educational Researcher, 2025
In scholarly research, racial categories are typically taken for granted. However, race categories vary over time and geography and reflect the social beliefs of the people who use them. Informed by quantitative critical race theory analysis, we interrogate how race categories align (or not) with 24,000 U.S. higher education students' responses to…
Descriptors: College Students, Self Concept, Racial Identification, Classification
Jill Brown; Craig M. McGill – School Leadership & Management, 2025
This study developed a grounded theory model describing how principals manage feedback on their leadership. Our research was conducted through interviews with 12 principals and led to the identification of three distinct phases. In Phase I, 'Feedback Collection', principals choose between formal and informal feedback methods, decide the scope of…
Descriptors: Principals, Feedback (Response), Leadership Qualities, Administrator Effectiveness
Janea J. Thibodeaux; Pierce M. Taylor; Janelle K. Bacotti; Samuel L. Morris – Journal of Applied Behavior Analysis, 2025
Many researchers have evaluated how characteristics of feedback may influence trainee performance, but relatively little attention has been allocated to directly assessing trainee preference for feedback characteristics and its relation to performance. Thus, the primary purpose of this study was to use a within-subject experimental design to…
Descriptors: Undergraduate Students, Feedback (Response), Difficulty Level, Learning Strategies
Emmanuel Fokides; Eirini Peristeraki – Education and Information Technologies, 2025
This research analyzed the efficacy of ChatGPT as a tool for the correction and provision of feedback on primary school students' short essays written in both the English and Greek languages. The accuracy and qualitative aspects of ChatGPT-generated corrections and feedback were compared to that of educators. For the essays written in English, it…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Elementary School Students
Jinglei Yu; Shengquan Yu; Ling Chen – British Journal of Educational Technology, 2025
Video-based teacher online learning enables teachers to engage in reflective practice by watching others' classroom videos, providing peer feedback (PF) and reviewing others' work. However, the quality and reliability of PF often suffer due to variations in teaching proficiency among providers, which limits its usefulness for reviewers. To improve…
Descriptors: Artificial Intelligence, Peer Evaluation, Feedback (Response), Reflection
Junjun Chen; Mustafa Toprak; Mehmet Karakus; Masoumeh Kouhsari – European Journal of Education, 2025
The ability of school principals to demonstrate resilience enables them to effectively lead, adapt and thrive amidst the ever-changing landscape of educational challenges and transformations. Despite its necessity, research on principal resilience remains largely underdeveloped and is still in its early stages. The current study aims to fill this…
Descriptors: Principals, Resilience (Psychology), Gender Differences, Networks
Kylie Gorney; Sandip Sinharay – Educational and Psychological Measurement, 2025
Test-takers, policymakers, teachers, and institutions are increasingly demanding that testing programs provide more detailed feedback regarding test performance. As a result, there has been a growing interest in the reporting of subscores that potentially provide such detailed feedback. Haberman developed a method based on classical test theory…
Descriptors: Scores, Test Theory, Test Items, Testing
Roman Auriga; André Pirralha; Friederike Schlücker; Götz Lechner; Anna Passmann – International Journal of Social Research Methodology, 2025
Mailing campaigns are a way to keep longitudinal survey respondents engaged. While mailings usually include a survey answer request, sometimes respondents are contacted between-waves to update contact information or simply to keep respondent contact. Research on the actual impact of these between-wave contacts on response rates is scarce. This…
Descriptors: Foreign Countries, Adolescents, Mail Surveys, Research Methodology
Farshad Effatpanah; Purya Baghaei; Hamdollah Ravand; Olga Kunina-Habenicht – International Journal of Testing, 2025
This study applied the Mixed Rasch Model (MRM) to the listening comprehension section of the International English Language Testing System (IELTS) to detect latent class differential item functioning (DIF) by exploring multiple profiles of second/foreign language listeners. Item responses of 462 examinees to an IELTS listening test were subjected…
Descriptors: Item Response Theory, Second Language Learning, Listening Comprehension, English (Second Language)

Direct link
Peer reviewed
