Publication Date
| In 2026 | 0 |
| Since 2025 | 176 |
| Since 2022 (last 5 years) | 1153 |
| Since 2017 (last 10 years) | 3373 |
| Since 2007 (last 20 years) | 7927 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 934 |
| Teachers | 576 |
| Policymakers | 491 |
| Researchers | 484 |
| Administrators | 410 |
| Students | 79 |
| Community | 51 |
| Media Staff | 48 |
| Parents | 48 |
| Counselors | 20 |
| Support Staff | 17 |
| More ▼ | |
Location
| Australia | 369 |
| California | 365 |
| United States | 351 |
| Canada | 261 |
| United Kingdom | 249 |
| Texas | 196 |
| Florida | 188 |
| Turkey | 176 |
| New York | 173 |
| Illinois | 152 |
| Pennsylvania | 141 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 3 |
| Meets WWC Standards with or without Reservations | 4 |
| Does not meet standards | 2 |
Stefkovics, Ádám – Field Methods, 2022
A number of previous studies have shown that the direction of rating scales may affect the distribution of responses. There is also considerable evidence that the cognitive process of answering a survey question differ by survey mode, which suggests that scale direction effects may interact with mode effects. The aim of this study was to explore…
Descriptors: Data Collection, Surveys, Telephone Surveys, Online Surveys
Harcey, Sela R.; Gauthier, Robin; Markowski, Kelly L.; Smith, Jeffrey A. – Field Methods, 2022
Conducting field research with a vulnerable population is difficult under the most auspicious conditions, and these difficulties only increase during a pandemic. Here, we describe the practical challenges and ethical considerations surrounding a recent data collection effort with a high-risk population during the COVID-19 pandemic. We detail our…
Descriptors: Data Collection, Population Groups, At Risk Persons, COVID-19
Abas, Suriati – International Studies in Sociology of Education, 2022
Multiple literacy practices, such as writing, texting, blogging and journaling, are intertwined in a crisis. Although many studies have been conducted on literacy practices arising from crises such as a divorce, a disaster and social activism, most of them are focused on a single event. In this chapter, I propose a method for examining literacy…
Descriptors: Activism, Signs, Photography, Data Collection
UNICEF Innocenti - Global Office of Research and Foresight, 2025
One in every 10 children has a disability. These 240 million children, like all others, have hopes and dreams. Yet they also face unique challenges and barriers shaped by ableism and stigma. This report documents UNICEF and its partners' disability evidence generation from 2018 to 2022. It underscores the organization's deep-rooted commitment to…
Descriptors: International Organizations, Children, Evidence, Students with Disabilities
Danielle Susi-Dittmore – Research in Higher Education, 2025
This study examines the limitations and ableist assumptions embedded in quantitative survey instruments used to gather data on postsecondary students with disabilities. Specifically, three National Center for Educational Statistics postsecondary surveys were examined as data sources. Employing a critical disability studies lens and discourse…
Descriptors: Discourse Analysis, Attitudes toward Disabilities, Social Bias, Data Collection
Wei Liu; Yingxue Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
Age is one of the important factors affecting individual differences in second language acquisition. The development of cognitive ability also has certain influence on second language acquisition, depending on whether this influence is positive or negative. This paper discusses the educational significance of the age factor in English teaching…
Descriptors: Secondary School Students, Secondary School Teachers, English (Second Language), Second Language Learning
Rivka Gadot; Dina Tsybulsky – Smart Learning Environments, 2025
Critical thinking (CT) consists of a deliberate and reflective process that can lead to informed decisions. It involves scrutinizing the trustworthiness and consistency of underlying assumptions, the sources of data, and the validity of other information. CT embodies deliberate, self-regulated judgment incorporating cognitive abilities such as…
Descriptors: Critical Thinking, Data Collection, Information Management, Decision Making Skills
Majdi Beseiso – TechTrends: Linking Research and Practice to Improve Learning, 2025
Predicting students' success is crucial in educational settings to improve academic performance and prevent dropouts. This study aimed to improve student performance prediction by combining advanced machine learning (ML) approaches. Convolutional Neural Networks (CNNs) and attention mechanisms were used for extracting relevant features from…
Descriptors: Prediction, Success, Academic Achievement, Artificial Intelligence
Fatema Rahimi; Abolghasem Sadeghi-Niaraki; Houbing Song; Huihui Wang; Soo-Mi Choi – IEEE Transactions on Learning Technologies, 2025
This study investigates the cognitive and emotional processes involved in augmented reality (AR)-based learning. The study looks at learning outcomes, emotional responses, meditation, and attention using a comprehensive approach that includes self-assessment, electroencephalogram data gathering, and postexperiment questionnaires. In total, 12…
Descriptors: Simulated Environment, Cognitive Processes, Outcomes of Education, Emotional Response
Carolyn A. Berry; Courtney Abrams; Margaret M. Paul; Rachel E. Massar; Kayla M. Fennelly; Beth C. Weitzman – American Journal of Evaluation, 2025
Qualitative interviews and focus groups are commonly used methods to elicit participants' voices in program evaluations. However, the use of these data-gathering methods can fall short of the goal; even with open-ended questions, the protocols guiding and shaping interviews and focus groups heavily reflect the evaluators' understanding and…
Descriptors: Program Evaluation, Photography, Visual Aids, Interviews
Dhatri Pandya; Keyur Rana; Aditi Padhiyar – Education and Information Technologies, 2025
With the advent of closed-circuit television systems (CCTV) in the era of technology, a massive amount of video data is generated daily. CCTV are installed at several educational institutions to monitor students' behavior and ensure their safety. Human activity monitoring is done manually. Abnormal human actions refer to rare or unusual actions in…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Classroom Environment
Lili Aunimo; Janne Kauttonen; Marko Vahtola; Salla Huttunen – Journal of Computing in Higher Education, 2025
Institutions of higher education possess large amounts of learning-related data in their student registers and learning management systems (LMS). This data can be mined to gain insights into study paths, study styles and possible bottlenecks on the study paths. In this study, we focused on creating a predictive model for study completion time…
Descriptors: Data Collection, Learning Management Systems, Study Habits, Time on Task
Jacqueline M. Forbes – Sage Research Methods Cases, 2025
Using a research project that explored the college-going strategies of Black high school students and educators during the 2020-2021 school year, this case study addresses research concerns that were raised in the context of COVID-19 and the 2020 global movement in defense of Black lives. More specifically, this case study addresses two types of…
Descriptors: Educational Research, Research Methodology, Research Projects, Race
J. Michael Rifenburg; Jenn Mallette; Rebecca Nowacek – Composition Forum, 2025
This methods-focused article attends to the mechanics of participant drawing as a data collection tool in qualitative research. Writing studies researchers undertaking qualitative research benefit from a wealth of handbooks on how to design methodologically sound studies. However, despite interest in visual research methods, little guidance is…
Descriptors: Research Design, Research Administration, Qualitative Research, Freehand Drawing
Yuan Fang; Lijuan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Dynamic structural equation modeling (DSEM) is a useful technique for analyzing intensive longitudinal data. A challenge of applying DSEM is the missing data problem. The impact of missing data on DSEM, especially on widely applied DSEM such as the two-level vector autoregressive (VAR) cross-lagged models, however, is understudied. To fill the…
Descriptors: Structural Equation Models, Bayesian Statistics, Monte Carlo Methods, Longitudinal Studies

Peer reviewed
Direct link
