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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
D. V. D. S. Abeysinghe; M. S. D. Fernando – IAFOR Journal of Education, 2024
"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…
Descriptors: Models, At Risk Students, Mentors, Undergraduate Students
Clemente Rodríguez-Sabiote; Ana T. Valerio-Peña; Roberto A. Batista-Almonte; Álvaro M. Úbeda-Sánchez – International Review of Research in Open and Distributed Learning, 2024
The global pandemic caused by the SARS-CoV-2 virus brought about a true revolution in the predominant teaching-learning processes (i.e., face-to-face environment) that had been implemented up to that point. In this regard, virtual teaching-learning environments (VTLEs) have gained unprecedented significance. The main objectives of our research…
Descriptors: Electronic Learning, College Students, Online Courses, Models
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
Asadi, Zoleixa; Abdekhoda, Mohammadhiwa; Nadrian, Haidar – Interactive Technology and Smart Education, 2019
Purpose: Applying cloud computing (CC) in education is a great opportunity to globalize knowledge with the minimum costs and maximum accessibility. This study aims to understand and predict teacher intention to use cloud commuting as infrastructure in Smart education. Design/methodology/approach: This was a cross-sectional study in which faculty…
Descriptors: Technology Uses in Education, Information Storage, Intention, Prediction
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Al-Shihi, Hafedh; Sharma, Sujeet Kumar; Sarrab, Mohamed – Education and Information Technologies, 2018
The proliferation of mobile computing technologies is playing major role in the growth of mobile learning (M-learning) market around the globe. The purpose of this paper is to develop a research model in the lines of commonly used models the Unified Theory of Acceptance and Use of Technology (UTAUT) and Technology Acceptance Model (TAM) by…
Descriptors: Predictor Variables, Technology Uses in Education, Models, College Students
Martín-García, Antonio Víctor; Martínez-Abad, Fernando; Reyes-González, David – British Journal of Educational Technology, 2019
The purpose of the study is to analyse and identify the stages of adoption of the blended learning (BL or b-learning) methodology in higher education contexts, and to assess the relationship of these stages with a set of variables related to personal and professional characteristics, attributes perceived on BL and contextual variables. About 980…
Descriptors: Blended Learning, Adoption (Ideas), Higher Education, Educational Technology
Latta, Gail F. – Journal of Further and Higher Education, 2020
This paper presents a conceptual framework for predicting whether power will have a unifying or subversive effect in specific organizational cultures. The Cultural Interaction Model of Leadership and Power (LP-CIM) asserts cultural norms constrain what leadership approaches will be successful in particular organizational contexts. These…
Descriptors: Higher Education, School Culture, Leadership Role, Power Structure
Wang, Qi; Zhang, Ning; Ma, Wulin – SAGE Open, 2023
This paper is designed to explore the current status of Chinese EFL teachers' use of digital resources in doing research and its influential factors. It classifies digital resources into six types aligned to the research process and uses the revised TAM to find out and explain its influential factors. A total of 180 teachers were investigated via…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
Liu, Leping; Li, Wenzhen; Scherer, Rebecca – International Journal of Technology in Teaching and Learning, 2016
Technology has been increasingly used in counseling education and professional practice in the past two decades. To ensure technology is appropriately used to produce expected quality of counseling work, design of technology integration in counseling becomes a key point. The first part of this article presents a critical literature review and…
Descriptors: Technology Uses in Education, Counselor Training, Curriculum Design, Technology Integration
Kilicer, Kerem; Bardakci, Salih; Arpaci, Ibrahim – Contemporary Educational Technology, 2018
For today's societies trying to cope with the current globally increased competition, existence of individuals who can take risks, solve problems and adopt changes an innovation has gained more importance when compared to the past. This situation brings responsibility to educational institutions for increasing the number of innovative individuals…
Descriptors: Predictor Variables, Technology Uses in Education, Innovation, Student Characteristics
Building and Evaluating Logistic Regression Models for Explaining the Choice to Adopt MOOCs in India
Trehan, Sangeeta; Joshi, Rakesh Mohan – International Journal of Education and Development using Information and Communication Technology, 2018
Logistic regression is a popular tool used to build and evaluate binary choice models. It has been applied in a variety of situations and contexts involving dichotomous choice. In the current paper, we apply it to explain and predict the individual choice of adopting online learning through a Massive Online Open Course (MOOC), a specific artefact…
Descriptors: Foreign Countries, Online Courses, Large Group Instruction, Educational Technology
Albelbisi, Nour Awni; Yusop, Farrah Dina – Turkish Online Journal of Educational Technology - TOJET, 2018
The purposes of this study were twofold: 1) to examine the influence of performance expectancy, and effort expectancy on secondary school students attitudes toward the use of a mathematics online homework package called MyiMaths; and 2) to predict the factor that best influences their attitudes. A 15 item, five-point Likertscale instrument was…
Descriptors: Secondary School Students, Online Courses, Mathematics Instruction, Homework
Findik-Coskunçay, Duygu; Alkis, Nurcan; Özkan-Yildirim, Sevgi – Educational Technology & Society, 2018
With the recent advances in information technologies, Learning Management Systems have taken on a significant role in providing educational resources. The successful use of these systems in higher education is important for the implementation, management and continuous improvement of e-learning services to increase the quality of learning. This…
Descriptors: Integrated Learning Systems, Foreign Countries, Technology Uses in Education, Structural Equation Models