Publication Date
| In 2026 | 0 |
| Since 2025 | 20 |
| Since 2022 (last 5 years) | 141 |
| Since 2017 (last 10 years) | 448 |
| Since 2007 (last 20 years) | 1475 |
Descriptor
Source
Author
| Bean, John P. | 7 |
| Lent, Robert W. | 6 |
| Bowers, Alex J. | 5 |
| Finch, W. Holmes | 5 |
| Goldhaber, Dan | 5 |
| Keeves, John P. | 5 |
| Xu, Jianzhong | 5 |
| Baker, Ryan S. | 4 |
| Doherty, Gillian | 4 |
| Goelman, Hillel | 4 |
| Krenzke, Tom | 4 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 57 |
| Practitioners | 27 |
| Policymakers | 14 |
| Administrators | 9 |
| Teachers | 5 |
| Counselors | 3 |
| Support Staff | 2 |
| Students | 1 |
Location
| California | 52 |
| Turkey | 49 |
| Australia | 43 |
| United States | 42 |
| Canada | 37 |
| Florida | 30 |
| Netherlands | 28 |
| Texas | 28 |
| Germany | 25 |
| China | 23 |
| Israel | 20 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 1 |
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 3 |
Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
Dorius, Shawn F.; Tandberg, David A.; Cram, Bridgette – Education Policy Analysis Archives, 2017
This study leverages human capital theory to identify the correlates of expected returns on investment in higher education at the level of institutions. We leverage estimates of average ROI in post-secondary education among more than 400 baccalaureate degree conferring colleges and universities to understand the correlates of a relatively new…
Descriptors: Higher Education, Outcomes of Education, Institutional Characteristics, Human Capital
Miller, Emma Rebecca – ProQuest LLC, 2017
The purpose of this study was to determine what variables predict the use of instructional technology among community college instructors. Legislators, community college administrators, and students expect innovative lessons from instructors that use technology. This study addresses the problem of not knowing what predicts instructional technology…
Descriptors: Educational Technology, Technology Uses in Education, College Faculty, Community Colleges
Chen, Qian – International Journal of Science and Mathematics Education, 2014
In this study, the Trends in International Mathematics and Science Study 2007 data were used to build mathematics achievement models of fourth graders in two East Asian school systems: Hong Kong and Singapore. In each school system, eight variables at student level and nine variables at school/class level were incorporated to build an achievement…
Descriptors: Foreign Countries, Mathematics Achievement, Grade 4, Mathematics Tests
Vista, Alvin – Cogent Education, 2016
There are relatively few studies in Australia and South-East Asian region that combine investigating models of math growth trajectories with predictors such as reasoning ability and reading comprehension skills. Math achievement is one of the major components of overall academic achievement and it is important to determine what factors (especially…
Descriptors: Foreign Countries, Problem Solving, Reading Comprehension, Predictor Variables
Toytok, Esef Hakan; Kapusuzoglu, Saduman – Eurasian Journal of Educational Research, 2016
Problem Statement: Frequently researched, organizational effectiveness is influenced by leadership, organizational culture and climate, organizational commitment, and job satisfaction; additionally, for effective, sustainable management, ethical leadership, which also influences organizational culture, is emphasized. To our knowledge, no previous…
Descriptors: Ethics, Leadership Styles, Organizational Culture, Organizational Climate
Koziol, Natalie A. – Applied Measurement in Education, 2016
Testlets, or groups of related items, are commonly included in educational assessments due to their many logistical and conceptual advantages. Despite their advantages, testlets introduce complications into the theory and practice of educational measurement. Responses to items within a testlet tend to be correlated even after controlling for…
Descriptors: Classification, Accuracy, Comparative Analysis, Models
Yang, Qinghua; Orrego Dunleavy, Victoria; Phillips, Jasmine Rene – Communication Education, 2016
This study examined how mentoring initiation and maintenance strategies mediate the relationship between acculturative stress and intercultural communication competence on Chinese graduate students' program satisfaction. Results supported a partial mediation effect for mentoring maintenance strategies. By specifying the mediating effect, the model…
Descriptors: Foreign Countries, Graduate Students, Mentors, Communication Strategies
Holland, Denise D.; Piper, Randy T. – Journal of Research on Technology in Education, 2016
Intellectual goods can follow the same pattern as physical goods with the product life cycle of birth, growth, maturity, and decline. For the intellectual good of technological, pedagogical, and content knowledge (TPACK), its birth began with Shulman (1986, 1987). Canonical correlation analysis (CCA) was used to test the relationships among five…
Descriptors: Technology Integration, Technology Education, Models, Preservice Teachers
Swain, Deanna; Scarpa, Angela; White, Susan; Laugeson, Elizabeth – Journal of Autism and Developmental Disorders, 2015
Young adults with ASD and no intellectual impairment are more likely to exhibit clinical levels of anxiety than typically developing peers (DSM-5, American Psychiatric Association, 2013). This study tests a mechanistic model in which anxiety culminates via emotion dysregulation and social motivation. Adults with ASD (49 males, 20 females)…
Descriptors: Autism, Pervasive Developmental Disorders, Young Adults, Emotional Disturbances
Landini, Fernando – Journal of Agricultural Education and Extension, 2015
Purpose: This paper reflects upon the practice of Argentine rural extensionists working in the extension public system through the process of identifying different rural extensionists' types of mindsets and comparing them with transfer of technology extension approach, dialogical processes of horizontal knowledge exchange, participatory…
Descriptors: Foreign Countries, Rural Extension, Extension Agents, Technology Transfer
Izumi, Masashi; Shen, Jianping; Xia, Jiangang – Education and Urban Society, 2015
In this study we investigated determinants of the graduation rate of public alternative schools by analyzing the most recent, nationally representative data from Schools and Staffing Survey 2007-2008. Based on the literature, we built a series of three regression models via successive block entry, predicting the graduate rate first by (a) student…
Descriptors: Nontraditional Education, Public Schools, Graduation Rate, Predictor Variables
Akitsu, Yutaka; Ishihara, Keiichi N.; Okumura, Hideyuki; Yamasue, Eiji – International Journal of Environmental and Science Education, 2017
Energy literacy is indispensable for a sustainable society, which is fostered and improved by formal and informal energy education. To achieve the goal of energy education, which develops a well-informed public with positive attitudes toward energy conservation and the ability to make appropriate decisions regarding future energy choices, we must…
Descriptors: Energy, Literacy, Environmental Education, Energy Conservation
Weiss, Michael J.; Bloom, Howard S.; Verbitsky-Savitz, Natalya; Gupta, Himani; Vigil, Alma E.; Cullinan, Daniel N. – Journal of Research on Educational Effectiveness, 2017
Multisite trials, in which individuals are randomly assigned to alternative treatment arms within sites, offer an excellent opportunity to estimate the cross-site average effect of treatment assignment (intent to treat or ITT) "and" the amount by which this impact varies across sites. Although both of these statistics are substantively…
Descriptors: Randomized Controlled Trials, Evidence, Models, Intervention

Peer reviewed
Direct link
