Publication Date
| In 2026 | 1 |
| Since 2025 | 793 |
| Since 2022 (last 5 years) | 5088 |
| Since 2017 (last 10 years) | 10296 |
| Since 2007 (last 20 years) | 17603 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 1437 |
| Teachers | 1226 |
| Administrators | 374 |
| Researchers | 368 |
| Policymakers | 275 |
| Students | 131 |
| Parents | 130 |
| Counselors | 90 |
| Community | 25 |
| Support Staff | 16 |
| Media Staff | 4 |
| More ▼ | |
Location
| Australia | 567 |
| Turkey | 552 |
| China | 445 |
| Canada | 426 |
| United Kingdom | 370 |
| United States | 367 |
| California | 334 |
| United Kingdom (England) | 318 |
| Texas | 250 |
| Taiwan | 216 |
| Netherlands | 182 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 58 |
| Meets WWC Standards with or without Reservations | 92 |
| Does not meet standards | 59 |
Gagan Shergill – Communique, 2025
Although school psychologists often comment on examinee motivation in their reports, systematic evaluation of effort is not common practice. Empirical assessment of performance effort provides critical evidence for the validity of evaluations and will likely lead to more valid assessments, recommendations, and placements. This article focuses on…
Descriptors: Testing, Student Behavior, Student Motivation, Student Evaluation
Marty Haoyuan Chen; Ginger Zhe Jin – National Bureau of Economic Research, 2025
The past few years have seen a shift in many universities' admission policies from test-required to either test-optional or test-blind. This paper uses laboratory experiments to examine students' reporting behavior given their application package and the school's interpretation of non-reported standardized test scores. We find that voluntary…
Descriptors: Standardized Tests, Scores, College Applicants, Disclosure
Nanci Johnson; Gordon Way; Tim Lewis – Center on Positive Behavioral Interventions and Supports, 2025
Missouri Schoolwide Positive Behavior Support (MO SW-PBS), with support from the Center on Positive Behavioral Interventions and Supports (PBIS), has provided training and support to build local capacity and positively impact student outcomes. Numerous years of descriptive data and a recent peer-reviewed research article both show the effects of…
Descriptors: Positive Behavior Supports, Attendance, Student Behavior, State Programs
Tamisha Thompson; Jennifer St. John; Siddhartha Pradhan; Erin Ottmar – Journal of Computer Assisted Learning, 2025
Background: Educational technologies typically provide teachers with analytics regarding student proficiency, but few digital tools provide teachers with process-based information about students' variable problem-solving strategies as they solve problems. Utilising design thinking and co-designing with teachers can provide insight to researchers…
Descriptors: Mathematics Instruction, Educational Technology, Problem Solving, Instructional Design
Rinthida Denphitat; Chintana Kanjanavisutt; Methinee Wongwanich Rumpagaporn – Higher Education Studies, 2025
The objective of this article is to develop a causal relationship factor model affecting entrepreneurial behavior for sustainable development using a mixed-methods research approach that integrated both quantitative and qualitative methodologies. The quantitative phase involved testing the causal relationships affecting entrepreneurial behavior by…
Descriptors: Causal Models, Entrepreneurship, Sustainable Development, Foreign Countries
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
Xiaona Xia; Wanxue Qi – Technology, Pedagogy and Education, 2025
One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…
Descriptors: Graphs, Knowledge Level, MOOCs, Prediction
Kathryn L. Hamilton; Alicia A. Stachowski – Journal of the Scholarship of Teaching and Learning, 2025
Research on study habits among college students demonstrates a difference between what students should do and what they actually do. We sought to understand students' break-taking habits and perceptions within the context of study behaviors. One hundred and sixteen undergraduate students responded to a survey of their study break-taking behaviors,…
Descriptors: Study Habits, Undergraduate Students, Student Behavior, Time Management
Matthew Hagler; Renesha Johnson; Johnathan Boags; Leah Snipe – Journal of College Student Retention: Research, Theory & Practice, 2025
First-generation college students (FGCS) are significantly less likely to complete degrees compared to continuing-generation students. Among the multifaceted causes for this disparity, many FGCS possess limited social and cultural capital in academia, resulting in lower rates of help-seeking and resource utilization. In this study, we conducted an…
Descriptors: First Generation College Students, Help Seeking, Student Behavior, Student Attitudes
Haci Arif Doganülkü; Ozan Korkmaz – International Journal for Educational and Vocational Guidance, 2025
The current study examined the mediating role of general self-efficacy in the relationship between university students' proactive career behavior and their proactive personality. The participants of the study consisted of 457 university students in Turkey. The Proactive Personality Scale-Short Form, the General Self-Efficacy Scale, and the Career…
Descriptors: Self Efficacy, College Students, Student Behavior, Career Development
Fatma Merve Mustafaoglu; Fatma Alkan – Science Education International, 2025
Recycling waste is essential to mitigate environmental damage caused by human activity. Environmentally responsible behaviors, shaped during early ages, are closely linked to environmental attitudes, as demonstrated by prior research. This study aims to predict middle school students' recycling behaviors using machine learning algorithms. A…
Descriptors: Middle School Students, Recycling, Student Behavior, Artificial Intelligence
Richard J. Munthali; Chris G. Richardson; Julia Pei; Jean N. Westenberg; Lonna Munro; Randy P. Auerbach; Ana Paula Prescivalli; Melissa Vereschagin; Quinten K. Clarke; Angel Y. Wang; Daniel Vigo – Journal of American College Health, 2025
Objective: To identify subgroups of students with distinct profiles of mental health symptoms (MH) and substance use risk (SU) and the extent to which MH history and socio-demographics predict subgroup membership. Participants: University students (N = 10,935: 63% female). Methods: Repeated cross-sectional survey administered weekly to stratified…
Descriptors: Anxiety, Depression (Psychology), Drug Use, Risk
Yael Yossel-Eisenbach; Aleksandra Gerkerova; Nitza Davidovitch – European Educational Researcher, 2025
The increasing reliance on digital technologies in higher education has significantly transformed teaching and learning practices, highlighting the distinct roles of research- and teaching-oriented faculty in digital pedagogy. Researchoriented faculty contribute to active digital learning by promoting critical thinking, problem-solving, and…
Descriptors: College Faculty, Teaching Methods, Learning Experience, Electronic Learning
Juan D. Pinto; Luc Paquette – International Educational Data Mining Society, 2025
The increasing use of complex machine learning models in education has led to concerns about their interpretability, which in turn has spurred interest in developing explainability techniques that are both faithful to the model's inner workings and intelligible to human end-users. In this paper, we describe a novel approach to creating a…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Behavior, Models
Anniette F. Maldonado; Aaron J. Fischer; Hannah Michael Wright; Rylee L. Jensen; Ashley N. Coombs; Sara N. Mathis; Keely Lundy; Alyson Funn; Leanne Hawken; Keith Radley; Lauren Perez – Assessment for Effective Intervention, 2024
The literature has identified the use of data-based, problem-solving as an essential element in the promotion of positive behavior interventions and supports (PBIS) within the classroom. The Components of a Successful Classroom (CSC) tool is an instrument which has undergone initial validation to support its use for measuring critical features of…
Descriptors: Elementary Schools, Public Schools, Classroom Techniques, Student Behavior

Direct link
Peer reviewed
