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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
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
Bueckmann-Diegoli, Rafaela; García de los Salmones Sánchez, María del Mar; San Martín Gutiérrez, Héctor – Education & Training, 2021
Purpose: The main goal of this work is to argue the theoretical validity of two competitive models that integrate entrepreneurial alertness in the Theory of Planned Behavior (TPB), and also to propose an explanation for the conceptual approach with a higher explicative ability. Design/Methodology/Approach: A total of 281 undergraduate students…
Descriptors: Entrepreneurship, Undergraduate Students, Behavior Theories, Models
Al-Azawei, Ahmed; Abdullah, Alharith A.; Mohammed, Mahmood K.; Abod, Zaid A. – International Review of Research in Open and Distributed Learning, 2023
Although online learning has become ubiquitous worldwide, earlier research has neglected the relationship between its actual use and security concerns. Learners' lack of security awareness while using learning technologies remains rarely studied. This paper integrates Delone and McLean's information system success (D&M-ISS) model with the…
Descriptors: Foreign Countries, Online Courses, Electronic Learning, Success
K. Keerthi Jain; J. N. V. Raghuram – Education and Information Technologies, 2024
This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study…
Descriptors: Prediction, Artificial Intelligence, Technological Literacy, Pedagogical Content Knowledge
Gloria Ashiya Katuka – ProQuest LLC, 2024
Dialogue act (DA) classification plays an important role in understanding, interpreting and modeling dialogue. Dialogue acts (DAs) represent the intended meaning of an utterance, which is associated with the illocutionary force (or the speaker's intention), such as greetings, questions, requests, statements, and agreements. In natural language…
Descriptors: Dialogs (Language), Classification, Intention, Natural Language Processing
Juan, Liu Xin; Tao, Wu Yun; Veloo, Palanisamy K.; Supramaniam, Mahadevan – SAGE Open, 2022
Dishonest academic behavior (DAB) by students in Chinese higher education institutions has become a significant concern. However, the related study of academic dishonesty in mainland China is very limited. This study fills this gap by examining the theory of planned behavior and its three extended versions, validating the effectiveness of…
Descriptors: Prediction, Models, Cheating, Behavior Theories
Duong, Cong Doanh – Education & Training, 2022
Purpose: The purpose of this research is to integrate the prediction from entrepreneurship education with the theory of planned behaviors (TPB) to build a conceptual framework and estimate the effect of entrepreneurship education on entrepreneurial intention over and above key predictors from an extended TPB model. Also, the moderating impacts of…
Descriptors: Correlation, Entrepreneurship, Teaching Methods, Prediction
Rena L. Pazienza – ProQuest LLC, 2021
Heavy and problematic drinking and sexual assault warrant significant concern on U.S. college campuses. Emerging evidence suggests that the risk for sexual victimization is amplified in the context of high-risk drinking behavior--and despite recent attention to sexual assault (e.g., MeToo Movement), rates of perpetration remain largely unchanged.…
Descriptors: Drinking, Alcohol Abuse, Rape, Games
Sahin, Ferhan; Sahin, Yusuf Levent – Social Psychology of Education: An International Journal, 2022
The vital role of motivation becomes even more evident when considering the digital transformation of learning and teaching environments, especially with the effect of the pandemic. Basic psychological needs and emotions, which have not been comprehensively examined together despite their important roles in motivating, draw attention. Accordingly,…
Descriptors: COVID-19, Pandemics, Educational Technology, Technology Uses in Education
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
Anderson, Francis T.; Rummel, Jan; McDaniel, Mark A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
In prospective memory (PM) research, costs (slowed responding to the ongoing task when a PM task is present relative to when it is not) have typically been interpreted as implicating an attentionally demanding monitoring process. To inform this interpretation, Heathcote, Loft, and Remington (2015), using an accumulator model, found that PM-related…
Descriptors: Memory, Responses, Behavior, Cues
Er, Erkan; Gómez-Sánchez, Eduardo; Dimitriadis, Yannis; Bote-Lorenzo, Miguel L.; Asensio-Pérez, Juan I.; Álvarez-Álvarez, Susana – Interactive Learning Environments, 2019
This paper presents the findings of a mixed-methods research that explored the potentials emerging from aligning learning design (LD) and learning analytics (LA) during the design of a predictive analytics solution and from involving the instructors in the design process. The context was a past massive open online course, where the learner data…
Descriptors: Alignment (Education), Learning Analytics, Instructional Design, Teacher Participation
Senkowski, Valerie; Branscum, Paul; Maness, Sarah; Larson, Daniel – American Journal of Health Education, 2017
Background: The United States Department of Agriculture (USDA) currently recommends that young adults consume 2.5-3 cups of vegetables daily, while also providing weekly recommendations for 5 vegetable subgroups: dark green, red and orange, beans and peas, starchy, and other. Purpose: The purpose of this study was to explore theory-based…
Descriptors: Models, Prediction, Health Behavior, Eating Habits
Salleh, Sallimah – International Journal of Information and Learning Technology, 2016
Purpose: The purpose of this paper is to examine how the direct and indirect factors of the elaborated theory of planned behaviour (TPB) relate to teachers' intentions and use of technology in teaching. Design/methodology/approach: The current study attempted to provide an understanding of teachers' beliefs and intentions to use technology in…
Descriptors: Teacher Attitudes, Technology Integration, Educational Technology, Technology Uses in Education

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