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Bayounes, Walid; Saâdi, Ines Bayoudh; Kinsuk – Smart Learning Environments, 2022
The goal of ITS is to support learning content, activities, and resources, adapted to the specific needs of the individual learner and influenced by learner's motivation. One of the major challenges to the mainstream adoption of adaptive learning is the complexity and time involved in guiding the learning process. To tackle these problems, this…
Descriptors: Learning Processes, Learning Motivation, Individualized Instruction, Models
Jullie Jeanette Sondakh; Joy Elly Tulung – Journal of Education and e-Learning Research, 2024
This study aims to predict accounting students' inclination toward a career in accounting in Indonesia by integrating the Social Cognitive Career Theory (SCCT) and the Theory of Reasoned Action (TRA). The research relies on primary data obtained through an online, closed-ended questionnaire. We employ Structural Equation Modeling (SEM) for the…
Descriptors: Prediction, Intention, Student Attitudes, Career Choice
Jillian C. Ford; Misty D. Lambert – Journal of Agricultural Education, 2025
SAE for All was introduced by the National Council for Agricultural Education as an innovative model of implementing Supervised Agricultural Experience instruction and better serving all students in School-Based Agricultural Education. States have varied on whether and how they have pushed forward the new model for teachers. In North Carolina, the…
Descriptors: Agricultural Education, Models, Teacher Attitudes, Middle Schools
Maciej Koscielniak; Jolanta Enko; Agata Gasiorowska – Journal of Academic Ethics, 2024
Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge…
Descriptors: Foreign Countries, Students, Ethics, Cheating
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Ates, Hüseyin; Garzón, Juan – Education and Information Technologies, 2023
Many studies show that augmented reality (AR) provides multiple benefits to science education, including learning gains, motivation to learn, and collaborative learning. However, while using AR largely depends on the teachers' willingness, existing literature lacks studies that identify teachers' intentions to use this technology. This study…
Descriptors: Models, Intention, Technology Uses in Education, Computer Simulation
Wang, Kai – International Review of Research in Open and Distributed Learning, 2023
This study incorporated the technology acceptance model (TAM) and theory of planned behavior (TPB) to interpret students' perception of MOOCs. This study was based on a survey questionnaire; all 525 respondents were undergraduates in China. A five-point Likert scale was used to collect data in order to measure relationships among the constructs of…
Descriptors: Foreign Countries, Undergraduate Students, MOOCs, Intention
Cheng, Yung-Ming – International Journal of Information and Learning Technology, 2023
Purpose: The purpose of this study is to propose a research model based on the stimulus-organism-response (S-O-R) model to test whether network externality, gamification and media richness as environmental feature antecedents to learners' learning engagement (LE) can affect their continuance intention of massive open online courses (MOOCs).…
Descriptors: MOOCs, Models, Intention, Gamification
Fink, Aron; Spoden, Christian; Frey, Andreas – Education and Information Technologies, 2023
The replacement of existing technology or the introduction of novel technology into the day-to-day routines of higher education institutions is not a trivial task. Currently, many higher education institutions are faced with the challenge of replacing existing procedures for administering written exams with e-exams. To guide this process, this…
Descriptors: College Faculty, Teacher Attitudes, Intention, Computer Assisted Testing
Noemí Pérez-Macías; Laura Gismera Tierno; Vitor L. De Nicolas – SAGE Open, 2023
The interest in entrepreneurship is growing, due to its relationship with competitiveness, growth, employment, and innovation. In fact, there are numerous studies trying to identify factors influencing entrepreneurial intentions among university students, especially among young people, and in those countries with declining growth rates. Using the…
Descriptors: College Students, Entrepreneurship, Intention, Educational Innovation
Erin W. Post – ProQuest LLC, 2024
Multivariate count data is ubiquitous in many areas of research including the physical, biological, and social sciences. These data are traditionally modeled with the Dirichlet Multinomial distribution (DM). A new, more flexible Dirichlet-Tree Multinomial (DTM) model is gaining in popularity. Here, we consider Bayesian DTM regression models. Our…
Descriptors: Regression (Statistics), Multivariate Analysis, Statistical Distributions, Bayesian Statistics
Doo, Min Young – Education and Information Technologies, 2023
Universities are increasingly incorporating flipped learning as an effective instructional approach. Given the popularity of flipped learning, numerous studies have examined the psychological aspects of students and learning achievement in flipped learning classes. However, little research has examined the social influence processes of students in…
Descriptors: Undergraduate Students, Flipped Classroom, Models, Social Influences
David, Adonis P.; Aruta, John Jamir Benzon R. – Educational Media International, 2022
Determining factors of teachers' intention to use technology is important. Drawing from the Technology Acceptance Model (TAM), we tested a research model depicting the direct and indirect effects of teachers' age, gender, perceived ease of use, perceived usefulness, and attitude towards use of technology on their behavioral intention to use…
Descriptors: Foreign Countries, Teacher Attitudes, Intention, Technology Uses in Education
Farina, Andrew G.; Johnson, Sara K. – Applied Developmental Science, 2022
Intentional Self-Regulation (ISR)--broadly defined, goal-directed behavior--is an important skill in promoting positive and adaptive development across the life span. The Selection-Optimization-Compensation (SOC) model of ISR describes goal directed behavior among children, adolescents, and adults. This study used an inductive and deductive…
Descriptors: Military Schools, Students, Young Adults, Self Control
Yujie Yan; Mingzhang Zuo; Panpan Duan; Baoyi Deng – Asia-Pacific Education Researcher, 2024
The online learning has gradually become a notable trend of K-12 education, which requires students' continuous intention in regard to online learning. Although it is acknowledged that both environmental, technological, and personal factors have the potential to enhance students' continuous intention toward online learning, there is limited…
Descriptors: Elementary Secondary Education, Intention, Student Attitudes, Electronic Learning

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