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Cook, Ryan M.; Welfare, Laura E. – Counselor Education and Supervision, 2018
This study explored factors that best predict intentional nondisclosure by counselors-in-training (CITs) during onsite supervision, including social judgment about one's supervisor, the supervisory working alliance (SWA), and supervisee attachment styles. Stepwise regression in a sample of 146 CITs revealed that the SWA and supervisee attachment…
Descriptors: Counselor Training, Intention, Disclosure, Supervisor Supervisee Relationship
Buabeng-Andoh, Charles; Baah, Charles – Interactive Technology and Smart Education, 2020
Purpose: This paper aims to develop and test a research model to explore the factors that influence pre-service teachers' intention to use learning management system (LMS). Design/methodology/approach: A cross-section study was conducted. A survey questionnaire was used to collect data from participants. The total number of participants was 361…
Descriptors: Preservice Teachers, Intention, Adoption (Ideas), Technology Integration
Dwyer, Jessica H.; González-Espada, Wilson J.; de la Harpe, Kimberly; Meier, David C. – Journal of College Science Teaching, 2020
The United States is not graduating enough science, technology, engineering, and mathematics (STEM) majors for the increasing number of available employment opportunities and national security needs. The purpose of this study was to quantify the magnitude of STEM attrition at the United States Air Force Academy (USAFA), a military service academy…
Descriptors: STEM Education, Military Schools, College Students, Withdrawal (Education)
Chan, Hsun-Yu; Wang, Xueli – Journal of Higher Education, 2020
In this study, we explored the alignment between initial transfer intent and subsequent course-completion patterns among 1,668 first-time STEM-aspiring students at two-year institutions. Using survey and transcript data, we conducted latent profile analysis and subsequent path analysis that revealed five distinct course-completion patterns:…
Descriptors: Intention, College Transfer Students, Two Year College Students, Community Colleges
Shang, Lili; Zuo, Meiyun – Educational Gerontology, 2020
Abundant health knowledge resources are available on social media to facilitate technology-enhanced knowledge learning among older adults. The objective of this study is to investigate the predictors and the underlying formation mechanism of older adults' intention to learn health knowledge on social media. We propose a novel model to examine how…
Descriptors: Older Adults, Intention, Health Education, Social Media
Karabiyik, Ceyhun; Baturay, Meltem Huri; Özdemir, Muzaffer – Participatory Educational Research, 2021
Learning and teaching is fostered to a great deal by technology. Cell phones and internet can be utilized as effective tools in providing extended and diversified learning opportunities as well as promoters of learning and teaching. However, early internet-enabled cell phones or more recent smartphones have also become easily accessible avenues of…
Descriptors: Intention, Student Attitudes, Student Behavior, Behavior Standards
Vineyard, Ashlyne Paige; Gallucci, Andrew; Adair, Kathleen; Oglesby, Leslie; White, Kristina; Wynveen, Christopher – Athletic Training Education Journal, 2021
Context: Burnout is a psychological syndrome consisting of increased emotional exhaustion (EE), depersonalization (DP), and decreased personal accomplishment (PA). To date, examinations of burnout among athletic training students (ATS) is limited. Objective: To determine prevalence and antecedents of burnout among ATS. Design: Cross-sectional…
Descriptors: Incidence, Predictor Variables, Burnout, Athletics
Yu, Chen-Wei; Chao, Cheng-Min; Chang, Che-Fu; Chen, Rueg-Juen; Chen, Po-Chung; Liu, Yi-Xuan – SAGE Open, 2021
This study developed and empirically tested a model to predict the factors affecting patients' behavioral intentions to use a mobile health education website. It explored the behavioral intention to use a mobile health education website from the perspective of consumers by extending the Unified Theory of Acceptance and Use of Technology 2 model…
Descriptors: Intention, Web Sites, Usability, Users (Information)
Kadioglu, Nagihan; Özyalçin Oskay, Özge – International Society for Technology, Education, and Science, 2022
The aim of this study was to investigate the relationship between preservice teachers' digital material design competencies and their use and acceptance of technology. The study was designed based on the Unified Theory of Acceptance and Use of Technology developed by Venkatesh et. al. in 2003. Sample of the study consists of 199 pre-service…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Technology Integration, Measures (Individuals)
Mitchell, Lorianne D.; Seier, Edith; Small, Michael H. – Strategic Enrollment Management Quarterly, 2022
The Complete College Tennessee Act (CCTA) established benchmarks for increasing state college completion rates to the national average by 2025. This investigation explored responses on the High School Senior Opinion Survey to identify trends between two subpopulations for strategic enrollment management (SEM)--Latino American and African American…
Descriptors: High School Seniors, Hispanic American Students, African American Students, Intention
Aldekheel, Abrar Y.; Khalil, Omar; AlQenaei, Zainab M. – Journal of Information Technology Education: Research, 2022
Aim/Purpose: This study was designed to examine the extent to which high school teachers intend to continue using the tablet PC in their teaching within the context of the Tablet Project initiative in Kuwait. It explores what drives their adoption intention. Background: Blended learning offers teachers the potential to adopt IT to augment their…
Descriptors: Foreign Countries, High School Teachers, Teacher Attitudes, Intention
Yeboah, Douglas; Nyagorme, Paul – Cogent Education, 2022
Many educators are concerned about students' use of WhatsApp for learning purposes, especially in emergency remote teaching during the COVID-19 pandemic. This study applied the unified theory of acceptance and use of technology (UTAUT) model to examine factors that predict distance students' acceptance of WhatsApp for learning. Correlational…
Descriptors: Computer Software, Computer Mediated Communication, Student Attitudes, Teaching Methods
Allen, Peter J.; Tonta, Kate E.; Haywood, Sophie B.; Pereira, Raphael M.; Roberts, Lynne D. – Active Learning in Higher Education, 2019
Peer-assisted study session attendance is associated with multiple indicators of student success. However, attendance levels are generally low. We applied an extended theory of planned behaviour model, incorporating student role identity, to the prediction of peer-assisted study session attendance. Participants were 254 undergraduate students…
Descriptors: Peer Teaching, Study Habits, Undergraduate Students, Social Attitudes
Torsney, Benjamin M.; Lombardi, Doug; Ponnock, Annette – Educational Psychology, 2019
This study investigated inclusion of epistemic value into Richardson and Watt Factors Influencing Teaching Choice (FIT-Choice) framework to produce a more robust, useful teacher motivation model. We specifically examined pre-service teachers' social utility value (SUV), personal utility value (PUV) and epistemic value regarding pursuing future…
Descriptors: Teacher Motivation, Preservice Teachers, Value Judgment, Faculty Development
O'Connor, Johnny R., Jr.; Vaughn, Vance – School Leadership Review, 2018
Quality leadership in a school district is critical to school improvement (Dunlap, Li, & Kladifko, 2015; Kersten, 2009; Leithwood, Seashore, Anderson, & Wahlstom, 2004). School leaders must be capable of providing vision, focus, and support to their staff, in order to facilitate a positive working culture, and achieve sustainable academic…
Descriptors: Superintendents, Labor Turnover, Public Schools, Predictor Variables

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