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Soni, Alisha; Bakhru, Kanupriya Misra – International Journal of Learning and Change, 2023
Social entrepreneurship is a planned behaviour and rapidly gaining its importance in society. This complex process can be understood by studying intention which is the single best predictor of subsequent behaviour. It helps in understanding the reasons behind the actions undertaken and the manner in which potential entrepreneurs decide and act to…
Descriptors: Entrepreneurship, Behavior Theories, Intention, Predictor Variables
Zhang, Jing; Dumont, Georgette E.; Sumbera, Becky G.; Medina, Pamela S.; Kordrostami, Melika; Ni, Anna Ya – Online Learning, 2023
Technology adoption patterns, in general, have been shown to have a common set of predictive factors such as performance expectancy, social influence, voluntariness, effort expectancy, and facilitating conditions. However, the significance of such factors varies dramatically by situation and conditions. In the faculty adoption of online teaching…
Descriptors: COVID-19, Pandemics, College Faculty, Teacher Attitudes
Seroussi, Dominique-Esther; Sharon, Rakefet; Peled, Yehuda; Yaffe, Yosi – Cambridge Journal of Education, 2019
The assumption behind the use of peer feedback in disciplinary courses in teachers' colleges is that it can help pre-service teachers to learn, to develop reflective skills, and to train professional skills pertaining to assessment situations or to peer collaboration. In fact, as the authors show in a review of the literature on the topic, there…
Descriptors: Reflection, Feedback (Response), Peer Evaluation, Preservice Teachers
Cheng, Eddie W. L. – Educational Technology Research and Development, 2019
Conflicting perspectives exist regarding the application of the technology acceptance model (TAM) and the theory of planned behavior (TPB) to the study of technology acceptance behavior. The present study addressed the controversy by evaluating and comparing the predictive power of the two theories in a specific context, which was to measure…
Descriptors: Behavior Theories, Computer Attitudes, Positive Attitudes, Models
Ozkan, Umut Birkan; Cigdem, Harun; Erdogan, Tolga – Turkish Online Journal of Distance Education, 2020
The contribution of e-learning technologies, especially LMS which has become an important component of e-learning, is significantly increasing in higher education. It is critical to understand the factors that affect the behavioral intention of students towards LMS use. The aim of this study is to explore predictors of students' acceptance of…
Descriptors: Predictor Variables, Integrated Learning Systems, Expectation, Social Influences
Brianna Lopez – ProQuest LLC, 2021
The six-year university graduation rate for minority, first-generation, and low-income students is significantly lower than it is for non-minority students, students whose parents went to college, and students from high-income families. The problem addressed in this study was small private, faith-based institutions do not have a viable model for…
Descriptors: Prediction, Models, Success, Private Colleges
Harris, Frank, III; Luke Wood, J. – New Directions for Community Colleges, 2016
The authors of this chapter present the Socio-Ecological Outcomes Model as a means of predicting student success for community college men of color.
Descriptors: Social Influences, Ecological Factors, Outcomes of Education, Models
Auerbach, Charles; Zeitlin, Wendy; Augsberger, Astraea; McGowan, Brenda G.; Claiborne, Nancy; Lawrence, Catherine K. – Research on Social Work Practice, 2015
Objective: This research examines the psychometric properties of the Perceptions of Child Welfare Scale (PCWS). This instrument is designed to assess child welfare workers' understanding of how society views their role and their work. Methods: Confirmatory factor analysis (CFA) was utilized to analyze data on 538 child welfare workers. Results:…
Descriptors: Child Welfare, Psychometrics, Measures (Individuals), Social Work
Cheng, Pericles L. – ProQuest LLC, 2017
The Digital Agenda for Europe (2015) states that there will be 825,000 unfilled vacancies for Information and Communications Technology by 2020. This lack of IT professionals stems from the small number of students graduating in computer science. To retain more students in the field, teachers can use remote robotic experiments to explain difficult…
Descriptors: Intention, Robotics, High Schools, Secondary School Teachers
Dupéré, Véronique; Leventhal, Tama; Dion, Eric; Crosnoe, Robert; Archambault, Isabelle; Janosz, Michel – Review of Educational Research, 2015
High school dropout is commonly seen as the result of a long-term process of failure and disengagement. As useful as it is, this view has obscured the heterogeneity of pathways leading to dropout. Research suggests, for instance, that some students leave school not as a result of protracted difficulties but in response to situations that emerge…
Descriptors: High School Students, Stress Variables, Dropouts, Models
Ward, Wendy L.; Swindle, Taren M.; Kyzer, Angela L.; Whiteside-Mansell, Leanne – Early Childhood Education Journal, 2015
Cumulative risk theory suggests that a variety of social risk factors would have an additive effect on obesity risk. Multiple studies have suggested that obesity is related to basic resources such as transportation and financial resources. Additional research points to parental engagement and parental monitoring as additional sources of risk. This…
Descriptors: Eating Habits, Food, At Risk Persons, Preschool Children
Ponnock, Annette R.; Torsney, Benjamin M.; Lombardi, Doug – New Waves-Educational Research and Development Journal, 2018
Teacher motivation is an impact aspect of the teacher performance and thus student achievement. Given the varying degrees of responsibility, tasks, and obstacles over the course of a teacher's training and career, their motivation is likely to change over time. This study examined the motivational differences of pre-service teachers (PSTs), early,…
Descriptors: Teacher Motivation, Teacher Education, Teacher Effectiveness, Preservice Teachers
Holmes, Shannon R.; Sheridan, Susan M.; Witte, Amanda L.; Bhatia, Sonya A.; Coutts, Michael J. – National Center for Research on Rural Education, 2015
This study examined differences in kindergarten children's behavioral functioning across rural and non-rural communities, as well as explored the effect of risk in each setting (i.e., rural, nonrural) on these children's behavior. Data from 116 kindergarten students and their parents and teachers was analyzed. Multileveling modeling was used to…
Descriptors: Kindergarten, Risk, Child Behavior, Environmental Influences
Huang, Yong-Ming – Australasian Journal of Educational Technology, 2015
The use of collaborative technologies in learning has received considerable attention in recent years, but few studies to date have examined the factors that affect sequential and global learners' intention to use such technologies. Previous studies have shown that the learners of different learning styles have different needs for educational…
Descriptors: Technology Uses in Education, Intention, Performance Factors, Sequential Learning
Thornton, Barry; Arbogast, Gordon – Contemporary Issues in Education Research, 2014
This paper examines the factors that are theorized to be determinants of school quality in the 67 counties of Florida from 2000 to 2011. The model constructed for this purpose is comprised of a mix of independent variables that include county educational attainment (number of high school graduates and State University System enrollees) and…
Descriptors: Performance Factors, Educational Quality, Educational Attainment, High School Graduates