Publication Date
| In 2026 | 1 |
| Since 2025 | 437 |
| Since 2022 (last 5 years) | 2292 |
| Since 2017 (last 10 years) | 5133 |
| Since 2007 (last 20 years) | 7452 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Teachers | 49 |
| Researchers | 14 |
| Policymakers | 12 |
| Practitioners | 10 |
| Students | 8 |
| Administrators | 7 |
| Parents | 3 |
| Community | 1 |
| Counselors | 1 |
| Media Staff | 1 |
Location
| China | 203 |
| Australia | 131 |
| Iran | 118 |
| Germany | 111 |
| Turkey | 102 |
| Japan | 91 |
| Canada | 85 |
| United Kingdom | 81 |
| Netherlands | 75 |
| Spain | 72 |
| California | 71 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 6 |
| Meets WWC Standards with or without Reservations | 8 |
| Does not meet standards | 2 |
Direct linkJiaying Xiao – ProQuest LLC, 2024
Multidimensional Item Response Theory (MIRT) has been widely used in educational and psychological assessments. It estimates multiple constructs simultaneously and models the correlations among latent constructs. While it provides more accurate results, the unidimensional IRT model is still dominant in real applications. One major reason is that…
Descriptors: Item Response Theory, Algorithms, Computation, Efficiency
Download full textHeather C. Hill; Kathleen Lynch; Joshua R. Polanin – Annenberg Institute for School Reform at Brown University, 2024
Inconsistent reporting of critical facets of classroom interventions and their related impact evaluations hinders the field's ability to describe and synthesize the existing evidence base. In this essay, we present a set of reporting guidelines intended to steer authors of classroom intervention studies toward providing more systematic reporting…
Descriptors: Disclosure, Guidelines, Intervention, Educational Research
Peer reviewedNicole A. Hollins; Stephanie Peterson – Journal of Behavioral Education, 2024
High rates of active student responding and opportunities to respond are considered best-practice instructional strategies for learning. Many educators in higher education have shifted from teaching primarily in-person to either a hybrid or an online format over the past decade. The global pandemic hastened further shifts from in-person to online…
Descriptors: Graduate Students, Online Courses, Synchronous Communication, Responses
Richard S. Balkin; Quentin Hunter; Bradley T. Erford – Measurement and Evaluation in Counseling and Development, 2024
We describe best practices in reporting reliability estimates in counseling research with consideration to precision, generalization, and diverse populations. We provide a historical context to reporting reliability estimates, the limitations of past practices, and new methods to address reliability generalization. We highlight best practices…
Descriptors: Best Practices, Reliability, Counseling, Research
David Arthur; Hua-Hua Chang – Journal of Educational and Behavioral Statistics, 2024
Cognitive diagnosis models (CDMs) are the assessment tools that provide valuable formative feedback about skill mastery at both the individual and population level. Recent work has explored the performance of CDMs with small sample sizes but has focused solely on the estimates of individual profiles. The current research focuses on obtaining…
Descriptors: Algorithms, Models, Computation, Cognitive Measurement
Uk Hyun Cho – ProQuest LLC, 2024
The present study investigates the influence of multidimensionality on linking and equating in a unidimensional IRT. Two hypothetical multidimensional scenarios are explored under a nonequivalent group common-item equating design. The first scenario examines test forms designed to measure multiple constructs, while the second scenario examines a…
Descriptors: Item Response Theory, Classification, Correlation, Test Format
Sujin Oh – ProQuest LLC, 2024
The revised Speech Learning Model (SLM-r) postulates that learners with more precisely defined categories in their native language (L1) exhibit greater proficiency in acquiring sounds in a second language (L2). Despite its recent emergence, empirical studies validating this hypothesis remain scarce. This study aims to investigate the predictive…
Descriptors: Native Language, Second Language Learning, Speech Communication, Individual Differences
Leah Ward; Kamila Polišenská; Colin Bannard – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This systematic review and multilevel meta-analysis examines the accuracy of sentence repetition (SR) tasks in distinguishing between typically developing (TD) children and children with developmental language disorder (DLD). It explores variation in the way that SR tasks are administered and/or evaluated and examines whether variability…
Descriptors: Children, Language Impairments, Repetition, Sentences
McCluskey, Sydne – ProQuest LLC, 2023
Rater comparison analysis is commonly necessary in the social sciences. Conventional approaches to the problem generally focus on calculation of agreement statistics, which provide useful but incomplete information about rater agreement. Importantly, one-number agreement statistics give no indication regarding the nature of disagreements, nor do…
Descriptors: Bayesian Statistics, Structural Equation Models, Interrater Reliability, Beliefs
Burton, Olivia R.; Bodner, Glen E.; Williamson, Paul; Arnold, Michelle M. – Metacognition and Learning, 2023
Meta-reasoning requires monitoring and controlling one's reasoning processes, and it often begins with an assessment of problem solvability. We explored whether "Judgments of Solvability (JOS)" for solvable and unsolvable anagrams discriminate and predict later problem-solving outcomes once anagrams solved during the JOS task are…
Descriptors: Accuracy, Prediction, Problem Solving, Thinking Skills
Kim, Rae Yeong; Yoo, Yun Joo – Journal of Educational Measurement, 2023
In cognitive diagnostic models (CDMs), a set of fine-grained attributes is required to characterize complex problem solving and provide detailed diagnostic information about an examinee. However, it is challenging to ensure reliable estimation and control computational complexity when The test aims to identify the examinee's attribute profile in a…
Descriptors: Models, Diagnostic Tests, Adaptive Testing, Accuracy
Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Victoria L. Lowell; Lucía Ureña-Rodríguez – SAGE Open, 2023
Globally, educators and researchers use different terms to describe instructors' approaches when presenting instructional material in formal and informal settings. Terms commonly used to describe instructional approaches include teaching/instructional strategy, teaching/instructional method, and teaching/instructional technique. Although…
Descriptors: Taxonomy, Teaching Methods, Educational Strategies, Standards
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
