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Zhou, Munyaradzi; Dzingirai, Canicio; Hove, Kudakwashe; Chitata, Tavengwa; Mugandani, Raymond – Education and Information Technologies, 2022
This study focuses on the uses of digital technology during teaching and learning. The preparedness, adoption, and use of virtual learning are inquired. Technology cannot enhance learning unless adopted, embraced, and effectively used. Three hundred and one (301) online questionnaires were administered to Higher and Tertiary institutions (HTEIs)…
Descriptors: Technology Uses in Education, Technology Integration, COVID-19, Pandemics
Raghunathan, Rajesh; Murali, Reena – British Journal of Guidance & Counselling, 2022
Employer attractiveness models need to include student-centric attributes related to the education-to-work transition. A four-factor Aspire model consisting of benefits, nature of work, employer value, and employer visibility was tested using structural equation modelling, with data collected from 2048 full-time college students from India over a…
Descriptors: Employers, Recruitment, Engineering, Technical Occupations
Findlater, Nickcoy – ProQuest LLC, 2022
The gap in supply (i.e., shortage) and demand of the STEM workforce have prompted extensive research on identifying factors that predict STEM outcomes and retention of students. Few studies, however, have examined the relationships between STEM outcomes and predictors in an integrated model, taking into account measurement errors in the…
Descriptors: STEM Education, College Freshmen, Academic Achievement, School Holding Power
Deng, Lifang; Yuan, Ke-Hai – Grantee Submission, 2022
Structural equation modeling (SEM) has been deemed as a proper method when variables contain measurement errors. In contrast, path analysis with composite-scores is preferred for prediction and diagnosis of individuals. While path analysis with composite-scores has been criticized for yielding biased parameter estimates, recent literature pointed…
Descriptors: Structural Equation Models, Path Analysis, Weighted Scores, Error of Measurement
Choi, Soobin – Educational Administration Quarterly, 2023
Purpose: This study examines the direct and indirect effects of distributed leadership on teacher self-efficacy in multicultural classrooms (TSMC) through school capacity building, specifically teacher team innovativeness and a feedback network. Research Design: Using data from the Teaching and Learning International Survey 2018, this study…
Descriptors: Leadership, Participative Decision Making, Self Efficacy, Multicultural Education
Yeh, Ju-Hsuan; Wu, Hsiao-Ling – Journal of Service-Learning in Higher Education, 2023
The study aims to analyze the implementation of incorporating E-baby care in the servicelearning courses of colleges through the context of family education. The study applies qualitative research qualitative content analysis and interview and participant observation, supplemented by 260 questionnaire surveys, Structural Equation Model (SEM), and…
Descriptors: Family Life Education, College Students, Educational Technology, Child Rearing
Pham, Lam D. – Journal of Research on Educational Effectiveness, 2023
Mixed results from evaluations of school reform suggest a need for evidence to explain why some models succeed while others fail. Addressing that need, this study uses structural equation modeling to estimate difference-in-differences models that examine mediating mechanisms for positive effects produced by Innovation Zone (iZone) reforms in…
Descriptors: School Turnaround, Educational Change, Structural Equation Models, Program Evaluation
Zeng, Huijuan; Bao, Zheshi – Psychology in the Schools, 2023
Social Q&A refers to the process of information seeking based on questioning-and-answering in natural language through social networks. It facilitates knowledge gathering and interacting, and thus can be regarded as an appropriate environment for informal learning. This study intends to explore factors affecting continuance intention of using…
Descriptors: Informal Education, Questioning Techniques, Information Seeking, Social Networks
Frazier, Thomas W.; Khaliq, Izma; Scullin, Keeley; Uljarevic, Mirko; Shih, Andy; Karpur, Arun – Journal of Autism and Developmental Disorders, 2023
At present, there are no brief, freely-available, informant-report measures that evaluate key challenging behaviors relevant to youth with autism spectrum disorder (ASD) or other developmental disabilities (DD). This paper describes the development, refinement, and initial psychometric evaluation of a new 18-item measure, the Open-Source…
Descriptors: Test Construction, Psychometrics, Behavior Problems, Autism Spectrum Disorders
Soltani, Asghar; Bahador, Ali; Esmi, Keramat – Research in Science & Technological Education, 2023
Background: Students' perceptions of learning environment is known as the most frequent construct related to their learning outcomes. Students' motivation in learning science (i.e. personal mastery goals orientation, self-efficacy, and task-value) and self-regulation are among the outcome variables that are affected by their perceptions of science…
Descriptors: High School Students, Science Education, Educational Environment, Student Motivation
Guimaraes, Leovani Marcial; da Silva Lima, Renato – IEEE Transactions on Education, 2023
Contribution: This article presents a novel approach that demonstrates how students' learning can be improved by increasing classroom adherence to active learning (AL) application, in a typical engineering education (EE) environment. It does that by using classroom observation protocol data and student assessment grades analyzed by a statistical…
Descriptors: Engineering Education, Teaching Methods, Active Learning, Outcomes of Education
Mohammadnasser Mossafaie; Goudarz Alibakhshi; Hossein Heidari Tabrizi – Asian-Pacific Journal of Second and Foreign Language Education, 2024
Within the field of teacher education, the concept of self-efficacy--which includes teachers' self-perceptions of their competence and abilities in particular tasks--has attracted a lot of attention. It shows how confident a teacher is in their ability to help students achieve the learning objectives. In spite of its critical importance, there…
Descriptors: Foreign Countries, Language Teachers, Self Efficacy, Second Language Instruction
Zachary J. Roman; Patrick Schmidt; Jason M. Miller; Holger Brandt – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Careless and insufficient effort responding (C/IER) is a situation where participants respond to survey instruments without considering the item content. This phenomena adds noise to data leading to erroneous inference. There are multiple approaches to identifying and accounting for C/IER in survey settings, of these approaches the best performing…
Descriptors: Structural Equation Models, Bayesian Statistics, Response Style (Tests), Robustness (Statistics)
Weiss, Selina; Steger, Diana; Schroeders, Ulrich; Wilhelm, Oliver – Journal of Intelligence, 2020
Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer…
Descriptors: Intelligence, Creativity, Prediction, Correlation
Marcoulides, Katerina M.; Yuan, Ke-Hai – International Journal of Research & Method in Education, 2020
Multilevel structural equation models (MSEM) are typically evaluated on the basis of goodness of fit indices. A problem with these indices is that they pertain to the entire model, reflecting simultaneously the degree of fit for all levels in the model. Consequently, in cases that lack model fit, it is unclear which level model is misspecified.…
Descriptors: Goodness of Fit, Structural Equation Models, Correlation, Inferences