NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Social Security1
What Works Clearinghouse Rating
Showing 1 to 15 of 34 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Afef Saihi; Mohamed Ben-Daya; Moncer Hariga – Education and Information Technologies, 2025
The integration of AI-chatbots into higher education offers the potential to enhance learning practices. This research aims to explore the factors influencing AI-chatbots adoption within higher education, with a focus on the moderating roles of technological proficiency and academic discipline. Utilizing a survey-based approach and advanced…
Descriptors: Technology Uses in Education, Artificial Intelligence, Higher Education, Technology Integration
Peer reviewed Peer reviewed
Direct linkDirect link
Chitiyo, Jonathan; May, Michael E. – Preventing School Failure, 2018
The Schoolwide Positive Behavior Intervention Support model (SWPBIS) continues to gain widespread use across schools in the United States and abroad. Despite its widespread implementation, little research has examined factors that influence its sustainability. Informed by Rogers's diffusion theory, this study examined school personnel's…
Descriptors: Positive Behavior Supports, Behavior Modification, Intervention, Sustainability
Pigott, Therese D.; Williams, Ryan T.; Polanin, Joshua R.; Wu-Bohanon, Meng-Jia – Society for Research on Educational Effectiveness, 2012
The purpose of this research to investigate the heterogeneity of per-pupil expenditure (PPE) slope estimates in predicting student achievement. The research question guiding this project is: how does the measured relationship between per-pupil expenditure vary across studies that use different models? In concert with SREE's 2012 conference mission…
Descriptors: Productivity, Expenditures, Academic Achievement, Regression (Statistics)
Peer reviewed Peer reviewed
Direct linkDirect link
Sahin, Ismail; Shelley, Mack – Educational Technology & Society, 2008
In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, &…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Online Courses
Peer reviewed Peer reviewed
Direct linkDirect link
Sree Rekha, K. R.; Kamalanabhan, T. J. – International Journal of Learning and Change, 2010
This paper aims at testing a conceptual model connecting variables of the internal and external work environment to ITES/BPO employee turnover. Based on the gaps identified from the literature that no single model explains in a comprehensive way as to why, people choose to leave and the lack of turnover studies on call centers located in India.…
Descriptors: Job Satisfaction, Intention, Foreign Countries, Work Environment
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Ming-Chi – Computers & Education, 2010
Although e-learning has been prompted to various education levels, the intention to continue using such systems is still very low, and the acceptance-discontinuance anomaly phenomenon (i.e., users discontinue using e-learning after initially accepting it) is a common occurrence. This paper synthesizes the expectation-confirmation model (ECM), the…
Descriptors: Electronic Learning, Expectation, Continuing Education, Intention
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
Peer reviewed Peer reviewed
Vaage, Gjermund; Kohn, Robert E. – Journal of Economic Education, 1998
Examines two classes of production functions in which the long-run competitive equilibrium scale of the firm increases when the relative price of the dominant factor decreases. Compares these with a third class of production functions where the equilibrium scale is independent of the relative price of the dominant factor. (MJP)
Descriptors: Business Cycles, Causal Models, Competition, Cost Indexes
Peer reviewed Peer reviewed
Pope, James A.; Evans, John P. – College and University, 1985
A model using four categories of college applicants (enrollment deposit paid, deposit not yet paid, applicants not yet admitted, and those who have not yet applied) that allows forecasting of freshman enrollment from any point in the admission process and simulates the effects of trends and strategies on enrollment is outlined. (MSE)
Descriptors: College Admission, College Applicants, Enrollment Projections, Higher Education
Gioia, Gerard A.; And Others – 1990
A developmental neuropsychological model is presented to address critical factors critical to the functional outcome in children with human immunodeficiency virus (HIV) infection. In the model, which is derived from work at the Boston Children's Hospital Acquired Immune Deficiency Syndrome (AIDS) program, neuropsychological outcomes are determined…
Descriptors: Acquired Immune Deficiency Syndrome, Child Development, Elementary Secondary Education, Influences
Peer reviewed Peer reviewed
Dornyei, Zoltan – Modern Language Journal, 1994
The social psychological constructs postulated by Garner, Clement et al. are integrated into a proposed new framework of second/foreign language (L2) learning motivation. The proposed model comprises three levels: language, learner, and learning situation. Practical examples for motivating L2 learners are presented. (55 references) (LB)
Descriptors: Classroom Environment, Language Research, Models, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Sivo, Stephen A.; Pan, Cheng-Chang; Hahs-Vaughn, Debbie L. – British Journal of Educational Technology, 2007
Factors affecting the student use of a course management system in a web-enhanced course are investigated using the technology acceptance model. Represented in the present study is the second phase of the analysis, with a focus on the causal relationship of subjective norms to student attitudes towards WebCT and their effect on three dependent…
Descriptors: Student Attitudes, Online Courses, Structural Equation Models, Web Based Instruction
Peer reviewed Peer reviewed
Hines, Jody M.; And Others – Journal of Environmental Education, 1987
Discusses results of a meta-analysis which sought to identify those variables found in research as strongly correlated with responsible environmental behavior. Variables found significant were: knowledge of issues; knowledge of action strategies; locus of control; attitudes; verbal commitment; and sense of responsibility. Proposes a model of…
Descriptors: Attitudes, Behavior, Behavior Development, Correlation
Fiene, Richard J.; Woods, Lawrence – 1984
Two unanswered questions about child care are: (1) Does compliance with state child care regulations have a positive impact on children? and (2) Have predictors of program quality been identified? This paper explores a research study and related model that have had some success in answering these questions. Section I, a general introduction,…
Descriptors: Check Lists, Compliance (Legal), Day Care, Early Childhood Education
Peer reviewed Peer reviewed
Sheehan, T. Joseph; Sanford, Keat – Teaching and Learning in Medicine, 1990
The theoretical model of medical student performance begins with 38 measures, reduced to 18 without loss of information. These measures are shown to reflect five underlying theoretical interrelated variables: medical knowledge; clinical performance; science aptitude; college achievement; and attitudes and values. Results should be useful in…
Descriptors: Academic Achievement, Admission Criteria, College Admission, Higher Education
Previous Page | Next Page ยป
Pages: 1  |  2  |  3