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Showing 1 to 15 of 58 results Save | Export
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Ram B. Basnet; David J. Lemay; Paul Bazelais – Knowledge Management & E-Learning, 2024
Academic and practitioner interest in data science has increased considerably. Yet scholarly understanding of what motivates students to learn data science is still limited. Drawing on the theory of planned behavior, we propose a research model to examine the determinants of behavioral intentions to learn data science. In the proposed research…
Descriptors: Student Attitudes, Intention, Data Science, Statistics Education
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Rajesh Kumar Sharma; Sukhpreet Kaur – International Journal of Educational Management, 2024
Purpose: The purpose of this paper is to analyse the mediating role of organisational citizenship behaviour between transformational leadership and successful implementation of education 4.0 in higher educational institutes using the PLS-SEM approach. Design/methodology/approach: The study uses cross-sectional and quantitative approach to decode…
Descriptors: Transformational Leadership, Organizational Climate, Citizenship, Higher Education
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Jalal, Azlin Abd; Hamid, Harris Shah Abd; Zulnaidi, Hutkemri – Malaysian Online Journal of Educational Sciences, 2023
In this new era drenched with data, statistical literacy becomes more essential for individuals to be able to read, communicate, and make informed decisions. Moreover, statistical literacy is highly essential for education policy makers who are highly accountable for all policy outcomes including school improvement, resource allocation, curriculum…
Descriptors: Statistics, Literacy, Educational Policy, Mathematics Anxiety
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Yin Ma; Dawn Bennett – Higher Education: The International Journal of Higher Education Research, 2024
This study aims to understand the sufficient, necessary, and critical factors of students' perceived employability (PE). It employs an innovative combination of Partial Least Squares Structural Equation Modeling (PLS-SEM), Necessary Condition Analysis (NCA), and Importance-Performance Matrix Analysis (IPMA). PE is conceptualized as five…
Descriptors: Predictor Variables, College Graduates, Employment Potential, Human Capital
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Ghasemy, Majid; Teeroovengadum, Viraiyan; Becker, Jan-Michael; Ringle, Christian M. – Higher Education: The International Journal of Higher Education Research, 2020
The relevance and prominence of the partial least squares structural equation modeling (PLS-SEM) method has recently increased in higher education research, especially in explanatory and predictive studies. We therefore first aim to assess previous PLS-SEM applications by providing a systematic review; second, we aim to highlight and summarize…
Descriptors: Least Squares Statistics, Structural Equation Models, Higher Education, Educational Research
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Abdul Raof, Shuhada; Musta'amal, Aede Hatib – European Journal of Educational Research, 2022
Competent instructors need to have the skills, abilities, and competencies to perform tasks effectively, which will affect student learning achievement. This study is guided by the theory of Boyatzis developed by Spencer and Spencer. The Iceberg Competency Model was used as a guideline to identify the competency elements of educators from the…
Descriptors: Agricultural Education, Vocational Education, Agriculture Teachers, Teacher Competencies
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Polat, Murat – Online Submission, 2023
This research focuses on better understanding the nature of pre-service teachers' four-frame leadership orientations. As it is known, the phenomenon of leadership still continues to be a research topic in the field of educational administration. But, these studies carried out on teachers and school administrators. As future teachers and school…
Descriptors: Preservice Teachers, Leadership Styles, Models, Gender Differences
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Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
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Nguyen, Cuong Quoc; Nguyen, Anh Minh Tu; Ba Le, Long – Cogent Education, 2022
This study aims to assess the impacts of three components from Theory of Planned Behaviour (TPB) on Entrepreneurial intention and analyze the mediating effects of these three components in the relationship between Entrepreneurial education and Entrepreneurial intention and in the relationship between Self-Efficacy and Entrepreneurial intention…
Descriptors: Least Squares Statistics, Structural Equation Models, Entrepreneurship, Business Administration Education
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Huang, Chun-Hsiung – Education Sciences, 2021
This research explores the influencing factors of learning satisfaction in blended learning. Three dimensions are proposed: perceived usefulness, perceived ease of use, and learning motivation. It studied how these variables affect students' learning satisfaction. The research hypotheses are: (1) Perceived ease of use positively affects perceived…
Descriptors: Blended Learning, Student Satisfaction, Usability, Learning Motivation
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Schijns, Jos M. C. – Tertiary Education and Management, 2021
The aim of this study is to analyze, evaluate and validate the NSE (National Student Enquiry) as a service quality measure helping both higher education institutions (HEIs) and students in their decision making. Every year the Dutch foundation 'Studiekeuze123' sends out a survey (the NSE) to collect data on service quality regarding education at…
Descriptors: Virtual Universities, Educational Quality, Foreign Countries, Student Surveys
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Alshurideh, Muhammad; Al Kurdi, Barween; Salloum, Said A.; Arpaci, Ibrahim; Al-Emran, Mostafa – Interactive Learning Environments, 2023
Despite the plethora of m-learning acceptance studies, few have tackled the importance of examining the actual use of m-learning systems from the lenses of social influence, expectation-confirmation, and satisfaction. Additionally, most of the prior technology adoption literature tends to use the structural equation modeling (SEM) technique in…
Descriptors: Electronic Learning, Prediction, Least Squares Statistics, Structural Equation Models
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Cordero, Diego; Astudillo, Silvana; Cisneros, Diego – IEEE Transactions on Education, 2023
Contribution: This article analyzes the elements that determine entrepreneurial intention (EI) in electrical and computer engineering students of a private university in Ecuador. Background: There is a lack of studies examining the EIs of university students in electrical engineering and computing sciences, where EI is influenced by elements, such…
Descriptors: Entrepreneurship, Intention, College Students, Engineering Education
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Owan, Valentine Joseph; Emanghe, Emmanuel E.; Denwigwe, Chiaka P.; Etudor-Eyo, Eno; Usoro, Abosede A.; Ebuara, Victor O.; Effiong, Charles; Ogar, Joseph O.; Bassey, Bassey A. – Journal of Curriculum and Teaching, 2022
This study used a partial least squares structural equation modelling (PLS-SEM) to estimate curriculum management's direct and indirect effects on university graduate programmes' viability. The study also examined the role of institutional effectiveness in mediating the nexus between the predictor and response variables. This is a correlational…
Descriptors: Foreign Countries, Curriculum Development, Graduate Study, Curriculum Evaluation
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Alamer, Abdullah; Alsagoafi, Ahmad – Studies in Second Language Learning and Teaching, 2023
Language students apply different strategies to learn a second language (L2), especially when they want to attain proficiency in reading. The aim of the present study was to revisit the validity of the "Metacognitive Awareness of Reading Strategies Inventory" (MARSI-R) among Saudi students using a new statistical method of confirmatory…
Descriptors: Foreign Countries, Undergraduate Students, Second Language Learning, English (Second Language)
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