Publication Date
| In 2026 | 0 |
| Since 2025 | 12 |
| Since 2022 (last 5 years) | 35 |
| Since 2017 (last 10 years) | 63 |
| Since 2007 (last 20 years) | 135 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 608 |
| Practitioners | 144 |
| Teachers | 87 |
| Students | 31 |
| Policymakers | 25 |
| Administrators | 24 |
| Counselors | 9 |
| Parents | 6 |
| Media Staff | 2 |
| Support Staff | 2 |
| Community | 1 |
| More ▼ | |
Location
| Canada | 11 |
| Australia | 9 |
| United Kingdom | 9 |
| Germany | 7 |
| United States | 7 |
| Japan | 6 |
| United Kingdom (England) | 6 |
| China | 5 |
| Netherlands | 5 |
| New Zealand | 4 |
| Norway | 4 |
| More ▼ | |
Laws, Policies, & Programs
| Individuals with Disabilities… | 1 |
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards with or without Reservations | 1 |
Weicong Lyu – ProQuest LLC, 2023
Item response theory (IRT) is currently the dominant methodological paradigm in educational and psychological measurement. IRT models are based on assumptions about the relationship between latent traits and observed responses, so the accuracy of the methodology depends heavily on the reasonableness of these assumptions. This dissertation consists…
Descriptors: Item Response Theory, Educational Assessment, Psychological Testing, Psychometrics
Danielle R. Blazek; Jason T. Siegel – International Journal of Social Research Methodology, 2024
Social scientists have long agreed that satisficing behavior increases error and reduces the validity of survey data. There have been numerous reviews on detecting satisficing behavior, but preventing this behavior has received less attention. The current narrative review provides empirically supported guidance on preventing satisficing by…
Descriptors: Response Style (Tests), Responses, Reaction Time, Test Interpretation
Effatpanah, Farshad; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2023
Item response theory (IRT) refers to a family of mathematical models which describe the relationship between latent continuous variables (attributes or characteristics) and their manifestations (dichotomous/polytomous observed outcomes or responses) with regard to a set of item characteristics. Researchers typically use parametric IRT (PIRT)…
Descriptors: Item Response Theory, Feedback (Response), Mathematical Models, Item Analysis
Ewelina Mierzwa-Kaminska – Second Language Learning and Teaching, 2025
This book provides a comprehensive overview of the theoretical issues and existing research in relation to the emotions that learners' experience when learning and using a FL, highlighting the two emotions under investigation, enjoyment and anxiety, which are the focus of the empirical research reported later in the book. Highlighting the crucial…
Descriptors: English (Second Language), Second Language Learning, Student Attitudes, Psychological Patterns
Razlina Razali; Muhammad Aiman Arifin – Cogent Education, 2023
The increasing interest in theory and practice towards enhancing student agency and independence in learning has led to the introduction of feedback literacy. While the topic of feedback literacy has started to gain traction in the literature, published data regarding this topic are still limited, particularly those that applied a bibliometric…
Descriptors: Bibliometrics, Feedback (Response), Multiple Literacies, Foreign Countries
Cheng, Yiling – Measurement: Interdisciplinary Research and Perspectives, 2023
Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…
Descriptors: Computer Software, Computer Assisted Testing, Adaptive Testing, Item Response Theory
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
Yvonne J. Munoz; Linda Challoo; Don Jones – Journal of Educational Technology, 2024
The Texas Education Agency (TEA) has implemented a student accountability system that measures students' performance on the State of Texas Assessment for Academic Readiness (STAAR) in several content areas. Therefore, teachers and administrators all over the state are always seeking ways to ensure that students are academically well prepared.…
Descriptors: Achievement Tests, Rural Schools, Middle School Students, Mathematics Education
Wind, Stefanie A.; Ge, Yuan – Measurement: Interdisciplinary Research and Perspectives, 2023
In selected-response assessments such as attitude surveys with Likert-type rating scales, examinees often select from rating scale categories to reflect their locations on a construct. Researchers have observed that some examinees exhibit "response styles," which are systematic patterns of responses in which examinees are more likely to…
Descriptors: Goodness of Fit, Responses, Likert Scales, Models
Sam Morris – Multilingual Matters, 2025
This book seeks to understand how language teachers regulate and use their emotions to best serve themselves and their students. It furthers research in the field by providing an in-depth theoretical discussion of emotion regulation alongside a comprehensive exploration in Japan. The study at the heart of the book focuses on three important…
Descriptors: Foreign Countries, Language Teachers, Psychological Patterns, Emotional Response
Kenan Dikilitas; Tim Marshall; Masoumeh Shahverdi – Palgrave Macmillan, 2025
This open access book maps the role of challenge-based learning (CBL) in the transformation of higher education pedagogy, towards being sector-informed as well as student-driven. CBL democratises the process of learning by repositioning students as drivers, who are empowered to make decisions on course content, assess needs in the real world and…
Descriptors: Teaching Methods, Student Centered Learning, Problem Based Learning, Program Implementation
Giulia Cosentino; Jacqueline Anton; Kshitij Sharma; Mirko Gelsomini; Michail Giannakos; Dor Abrahamson – British Journal of Educational Technology, 2025
This study explores the role of generative AI (GenAI) in providing formative feedback in children's digital learning experiences, specifically in the context of mathematics education. Using multimodal data, the research compares AI-generated feedback with feedback from human instructors, focusing on its impact on children's learning outcomes.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Feedback (Response), Mathematics Education
Mbato, Concilianus Laos – Educational Action Research, 2023
This article focuses on Indonesian students' regulation of feelings and attitudes in EFL learning. It considers one research question i.e. to what extent can Indonesian students regulate their feelings and attitudes in EFL learning? To answer the question, classroom action research was adopted. The participants of the research were 24 first…
Descriptors: Foreign Countries, Emotional Response, Student Attitudes, English (Second Language)
Callum Kimpton; Nicoleta Maynard – European Journal of Engineering Education, 2025
This systematic literature review forms the first part of a larger research project into teamwork skills development and aims to answer the following research question: What factors have been found to be significant to the development of teamwork skills in tertiary engineering courses? This was limited to tertiary engineering contexts and 59…
Descriptors: Teamwork, Skill Development, College Students, Engineering Education
Melina Porto – Journal of Further and Higher Education, 2024
This study investigates the complementarity between linguistic and non-linguistic modes of expression in reading in Higher Education and how this combination can counterbalance the accountability that characterises the measured university in current times. Participants are Argentine college students aged 21-22 at the time of data collection. They…
Descriptors: Foreign Countries, Young Adults, College Students, Native Language

Direct link
Peer reviewed
