Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 10 |
| Since 2017 (last 10 years) | 11 |
| Since 2007 (last 20 years) | 15 |
Descriptor
| Information Technology | 15 |
| Intention | 15 |
| Student Behavior | 15 |
| Foreign Countries | 12 |
| Student Attitudes | 8 |
| Technology Uses in Education | 8 |
| Educational Technology | 5 |
| Adoption (Ideas) | 4 |
| Correlation | 4 |
| Electronic Learning | 4 |
| Undergraduate Students | 4 |
| More ▼ | |
Source
Author
Publication Type
| Journal Articles | 14 |
| Reports - Research | 14 |
| Tests/Questionnaires | 2 |
| Dissertations/Theses -… | 1 |
Education Level
| Higher Education | 11 |
| Postsecondary Education | 10 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
| Malaysia | 2 |
| Hong Kong | 1 |
| Indonesia | 1 |
| Japan | 1 |
| Jordan | 1 |
| Pakistan | 1 |
| Philippines | 1 |
| Taiwan | 1 |
| Turkey | 1 |
| Turkey (Istanbul) | 1 |
| United Arab Emirates | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Biedermann, Daniel; Ciordas-Hertel, George-Petru; Winter, Marc; Mordel, Julia; Drachsler, Hendrik – Journal of Learning Analytics, 2023
Learners use digital media during learning for a variety of reasons. Sometimes media use can be considered "on-task," e.g., to perform research or to collaborate with peers. In other cases, media use is "off-task," meaning that learners use content unrelated to their current learning task. Given the well-known problems with…
Descriptors: Learning Processes, Learning Analytics, Information Technology, Behavior Patterns
Kader, Mohd Aidil Riduan Awang; Abd Aziz, Nurul Nadia; Zaki, Suhanom Mohd; Ishak, Maisarah; Hazudin, Siti Fahazarina – Malaysian Journal of Learning and Instruction, 2022
Purpose: Students' incompetence to deal with the intricacies of technology during the teaching and learning process may have negatively affected their online learning process particularly throughout the COVID-19 pandemic. It is critical to research technostress influence on online learning behaviours among undergraduates. Thus, this research…
Descriptors: Stress Variables, Information Technology, Electronic Learning, Student Behavior
Al-Adwan, Ahmad Samed; Li, Na; Al-Adwan, Amer; Abbasi, Ghazanfar Ali; Albelbisi, Nour Awni; Habibi, Akhmad – Education and Information Technologies, 2023
Metaverse, which combines a number of information technologies, is the Internet of the future. A media for immersive learning, metaverse could set future educational trends and lead to significant reform in education. Although the metaverse has the potential to improve the effectiveness of online learning experiences, metaverse-based educational…
Descriptors: College Students, Intention, Information Technology, Adoption (Ideas)
Sherina Dimo; Harly Israel Bandojo; Kristia Estilo; Joeven Abalayan; Michael Achas; Joseph Lobo – Journal of Educators Online, 2024
The present study intends to investigate the determinants influencing students' behavioral intention and use of Google Classroom as an instrument for enhancing the learning experience in the domain of physical education. This investigation employed the Technology Acceptance Model (TAM) as a conceptual framework. The results revealed that perceived…
Descriptors: Student Behavior, Intention, Computer Software, Physical Education
Saleem, Muhammad; Kamarudin, Suzilawati; Shoaib, Haneen Mohammad; Nasar, Asim – Interactive Learning Environments, 2023
Augmented reality apps are a novel technology in e-learning that enhances students' learning faster in virtual classrooms. Since the start of the COVID-19 pandemic, traditional teaching mechanisms pushed back due to the quick spread of Coronavirus disease. This study investigates university students' intention towards e-learning through augmented…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Karacan, Cemil Gökhan; Polat, Mustafa – Journal of Digital Learning in Teacher Education, 2022
Augmented Reality (AR) is a new-generation technology that shows video, picture, and animated 3 D objects over real-life scenes. Despite AR's prevalence around the world, language teacher education programs are not prompt in the integration of digital educational tools. The present study explored the factors that predict pre-service English…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Ku, Chih-Jung; Hsu, Ying-Shao; Chang, Mei-Chen; Lin, Kuen-Yi – International Journal of STEM Education, 2022
Background: Research on teaching and learning for science, technology, engineering, and mathematics (STEM) subjects has increased, and has demonstrated the importance of integrating interdisciplinary knowledge and skills. Our research model was based on the theory of planned behavior (TPB) and the data were analyzed by partial least…
Descriptors: Middle School Students, STEM Education, Problem Solving, Student Attitudes
Shaya, Nessrin M.; Madani, Rehaf A.; Mohebi, Laila M. B. – Journal of Interactive Learning Research, 2023
This study developed and empirically tested a theoretical model to predict the factors affecting students' acceptance and behavioral intentions toward using mobile learning (m-learning) in United Arab Emirates (UAE). The present study explored the behavioral intention to use m-learning from the angle of consumers by applying the extended Unified…
Descriptors: Higher Education, Intention, Student Behavior, Information Technology
Devisakti, A.; Muftahu, Muhammad – International Journal of Information and Learning Technology, 2022
Purpose: The advancement of technology in the last decades transformed the education from mortar and brick into online teaching and learning. It also changed the assessments from paper-based to technology-supported assessments. This study aims to examine how technology support student's online assessments in higher education institutions from…
Descriptors: Educational Technology, Technology Uses in Education, Undergraduate Students, Expectation
Mazrur; Jennah, Rodhatul; Mujib, Abdul; Jamalie, Zulfa – Journal of Education and e-Learning Research, 2023
The acceptance of different technologies in different classroom settings has been addressed in the current study. Integrating alignment theory with the Technology Acceptance Model (TAM), this study investigates the predictive differences between the use and adoption of four technologies. The technologies were used in Islamic study classrooms for…
Descriptors: Islam, Audience Response Systems, Student Attitudes, Technology Uses in Education
Wong, Simon; Wong, Adam; Yeung, John – Journal of Interactive Learning Research, 2019
This study adopts quantitative approach to compare the students' perceptions in terms of perceived usefulness (PU) and perceived ease of use (PE) of using mobile device-based student response system (SRS) and to investigate the difference in the effects of contributing factors on the students' perceptions at two higher education institutions in…
Descriptors: Student Attitudes, Handheld Devices, Audience Response Systems, Classroom Techniques
Harris, Matthew E. – ProQuest LLC, 2016
The purpose of this study was to identify and examine existing technology acceptance constructs as they relate to end-user participation in training programs. By analyzing technology acceptance constructs and their fit with existing training paradigms, it was expected that there would be a significant increase in use behavior as defined in the…
Descriptors: Computer Attitudes, Adoption (Ideas), Training, Use Studies
Cigdem, Harun; Ozturk, Mustafa – International Review of Research in Open and Distributed Learning, 2016
There is a substantial increase in the use of learning management systems (LMSs) to support teaching and learning activities in higher education institutions. Despite their benefits, student's use them to a limited extend due to a number of factors influencing behaviors. This study executed a three-tier use model to examine the predictors of…
Descriptors: Student Behavior, Intention, Vocational Schools, Postsecondary Education
Jung, Insung – Computers & Education, 2009
Assuming that ICT ethics are influenced by both moral and circumstantial factors, the study investigates Japanese college students' ethical judgments and behavioral intentions in three scenarios involving ICT-related ethical problems and explores why they make such decisions, relying on five moral philosophies: moral equity, relativism,…
Descriptors: College Students, Ethics, Foreign Countries, Intention
Shih, Hung-Pin – Behaviour & Information Technology, 2008
The evolution of the internet has made online portals a popular means of surfing the internet. In internet commerce, understanding the post-adoption behaviour of users of online portals can help enterprises to attract new users and retain existing customers. For predicting continued use intentions, this empirical study focused on applying and…
Descriptors: Females, Innovation, Internet, Males

Peer reviewed
Direct link
