Publication Date
| In 2025 | 95 |
| Since 2024 | 482 |
| Since 2021 (last 5 years) | 1961 |
| Since 2016 (last 10 years) | 4463 |
| Since 2006 (last 20 years) | 10534 |
Descriptor
| Classification | 19762 |
| Foreign Countries | 3990 |
| Higher Education | 1834 |
| Models | 1823 |
| Teaching Methods | 1823 |
| Comparative Analysis | 1647 |
| Cognitive Processes | 1224 |
| Elementary Secondary Education | 1162 |
| Statistical Analysis | 1072 |
| Correlation | 1066 |
| College Students | 997 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 628 |
| Researchers | 455 |
| Teachers | 385 |
| Administrators | 110 |
| Policymakers | 92 |
| Students | 80 |
| Media Staff | 70 |
| Counselors | 19 |
| Parents | 19 |
| Community | 10 |
| Support Staff | 5 |
| More ▼ | |
Location
| Australia | 410 |
| United Kingdom | 313 |
| Canada | 295 |
| United States | 286 |
| Turkey | 254 |
| California | 208 |
| United Kingdom (England) | 193 |
| China | 185 |
| Germany | 162 |
| Netherlands | 134 |
| Spain | 134 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 5 |
| Does not meet standards | 5 |
Peer reviewed
Direct linkR. Thapa; A. Garikipati; M. Ciobanu; N.P. Singh; E. Browning; J. DeCurzio; G. Barnes; F.A. Dinenno; Q. Mao; R. Das – Journal of Autism and Developmental Disorders, 2024
Purpose: Disorders on the autism spectrum have characteristics that can manifest as difficulties with communication, executive functioning, daily living, and more. These challenges can be mitigated with early identification. However, diagnostic criteria has changed from DSM-IV to DSM-5, which can make diagnosing a disorder on the autism spectrum…
Descriptors: Autism Spectrum Disorders, Symptoms (Individual Disorders), Clinical Diagnosis, Artificial Intelligence
Jihong Zhang; Jonathan Templin; Xinya Liang – Journal of Educational Measurement, 2024
Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…
Descriptors: Bayesian Statistics, Cognitive Measurement, Models, Classification
Jemimah Young; John Williams III; Ana Carolina Díaz Beltrán; Marlon James; Quinita Ogletree; Monica Neshyba; Cristina Worely – Urban Education, 2025
In the seminal work "But What Is Urban Education?" from 2012, Richard Milner proffered a typology to better represent urban spaces as conceptions of urbanization's evolution. The typology consists of three descriptors, to which each highlights the manner in which population density influences the availability of resources to support…
Descriptors: Literature Reviews, Content Analysis, Urban Education, Urban Areas
Caihong Feng; Jingyu Liu; Jianhua Wang; Yunhong Ding; Weidong Ji – Education and Information Technologies, 2025
Student academic performance prediction is a significant area of study in the realm of education that has drawn the interest and investigation of numerous scholars. The current approaches for student academic performance prediction mainly rely on the educational information provided by educational system, ignoring the information on students'…
Descriptors: Academic Achievement, Prediction, Models, Student Behavior
Lois Peach; Joanna Haynes – Pedagogy, Culture and Society, 2025
This writing originates from unease with assumptions that often shape intergenerational practices and everyday encounters in the UK, for instance, assumptions about generational 'gaps' or 'roles' and the pedagogy of 'interventions' to promote meetings 'between' ages. Such interventions are usually predicated on chrono-logical notions of infant,…
Descriptors: Intergenerational Programs, Interaction, Humanism, Lifelong Learning
Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
Amine Boulahmel; Fahima Djelil; Gregory Smits – Technology, Knowledge and Learning, 2025
Self-regulated learning (SRL) theory comprises cognitive, metacognitive, and affective aspects that enable learners to autonomously manage their learning processes. This article presents a systematic literature review on the measurement of SRL in digital platforms, that compiles the 53 most relevant empirical studies published between 2015 and…
Descriptors: Independent Study, Educational Research, Classification, Educational Indicators
Yiran Chen – Research in Higher Education, 2025
The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…
Descriptors: College Students, Classification, Educational Research, Research Methodology
Tim M. Steininger; Jörg Wittwer; Thamar Voss – Psychology Learning and Teaching, 2025
In order to make informed instructional decisions, teachers need psychological knowledge about relational categories. We conducted two 2 x 2 experiments to examine effective designs for learning relational categories in the context of teacher education. In both experiments, a blocked compared to an interleaved example format was more beneficial…
Descriptors: Classification, Learning Processes, Student Teachers, Psychology
Kang, Yewon; Ha, Hyorim; Lee, Hee Seung – Educational Psychology Review, 2023
Natural category learning is important in science education. One strategy that has been empirically supported for enhancing category learning is testing, which facilitates not only the learning of previously studied information (backward testing effect) but also the learning of newly studied information (forward testing effect). However, in…
Descriptors: Science Education, Science Tests, Testing, Classification
Draper, Steve; Maguire, Joseph – ACM Transactions on Computing Education, 2023
The overall aim of this article is to stimulate discussion about the activities within CER, and to develop a more thoughtful and explicit perspective on the different types of research activity within CER, and their relationships with each other. While theories may be the most valuable outputs of research to those wishing to apply them, for…
Descriptors: Computer Science Education, Educational Research, Computer Science, Classification
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
Serra Undurraga, Jacqueline Karen Andrea – International Journal of Qualitative Studies in Education (QSE), 2023
Diffraction has emerged as a concept and methodology through opposing reflexivity. In this paper, I argue that reflexivity and diffraction are not external to each other. In contrast, I propose that they blur into each other and so we do not find ourselves using pure reflexivity or diffraction. Furthermore, I contend that categorically…
Descriptors: Reflection, Epistemology, Classification, Interaction
Laxton, Victoria; Howard, Christina J.; Guest, Duncan; Crundall, David – Applied Cognitive Psychology, 2023
Lifeguards engage in a continuous process of deciding whether swimmers are in danger or not. The variety of behaviours that distressed swimmers show makes it difficult to impart declarative knowledge to this effect during lifeguard training. As an alternative, we propose a novel training tool that requires novice participants to rapidly categorise…
Descriptors: Classification, Aquatic Sports, Safety, Behavior
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
