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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
Analyzing Predictors of Perceived Graduate Employability from Sufficiency and Necessity Perspectives
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
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
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
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
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
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
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
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
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
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)
Albelbisi, Nour Awni – Education and Information Technologies, 2019
As a crucial factor that affects the learning performance in MOOC, self-regulated learning (SRL) has elicited considerable interest. Self-regulated learners can manage their learning activities efficiently, however, researchers indicate that MOOC learners do not adequately self-regulate their learning. Thus, providing support to facilitate…
Descriptors: Undergraduate Students, Foreign Countries, Structural Equation Models, Online Courses
Thien, Lei Mee – International Journal of Research & Method in Education, 2020
This study aims to assess the quality of school life as a second-order formative construct and provide empirical evidence for its measurement model. Data were collected from 1459 Malaysian Grade Five pupils. A partial least squares structural equation modelling (PLS-SEM) approach was used for data analysis. Findings supported that six reflective…
Descriptors: Quality of Life, Educational Environment, Elementary School Students, Grade 5
Saptono, Ari; Wibowo, Agus; Narmaditya, Bagus Shandy; Karyaningsih, Rr Ponco Dewi; Yanto, Heri – Cogent Education, 2020
Demanding new ventures has been a global challenge, and the government responds to this issue through entrepreneurial education. Among the increasing studies on entrepreneurship, there is a lack of empirical evidence examining how entrepreneurial education prepares students being entrepreneurs. This study elaborates on several predicted variables…
Descriptors: Entrepreneurship, Teaching Methods, Predictor Variables, Knowledge Level
Do Knowledge Acquisition and Knowledge Sharing Really Affect E-Learning Adoption? An Empirical Study
Al-Emran, Mostafa; Teo, Timothy – Education and Information Technologies, 2020
Studying the factors that affect the e-learning adoption is not a new research topic. Nevertheless, exploring the effect of knowledge acquisition and knowledge sharing on e-learning adoption is a relatively new research trend that has not been featured in the existing literature. Thus, this study was conducted to build a new model by extending the…
Descriptors: Electronic Learning, Educational Technology, Information Technology, Technology Integration