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Direct linkShuaiyao Ma; Lei Lei – Asia Pacific Journal of Education, 2024
This study, rooted in the Technology Acceptance Model (TAM), investigates the multifaceted factors that influence teacher education students in Information-Based Teaching to embrace artificial intelligence technologies. To enrich the TAM framework, we have incorporated elements such as Artificial Intelligence Literacy (AIL), Subjective Norms (SN),…
Descriptors: Preservice Teachers, Artificial Intelligence, Technology Uses in Education, Educational Technology
Al-Rahmi, Ali Mugahed; Al-Rahmi, Waleed Mugahed; Alturki, Uthman; Aldraiweesh, Ahmed; Almutairy, Sultan; Al-Adwan, Ahmad Samed – Education and Information Technologies, 2022
Mobile-learning (M-learning) apps have grown in popularity and demand in recent years and have become a typical occurrence in modern educational systems, particularly with the deployment of M-learning initiatives. The key objective of this study was to reveal the key factors that impact university students' behavioural intention and actual use of…
Descriptors: Electronic Learning, Computer Oriented Programs, College Students, Intention
Kemp, Andrew; Palmer, Edward; Strelan, Peter; Thompson, Helen – Australasian Journal of Educational Technology, 2022
This study investigated the specification of educational compatibility within a technology acceptance model (TAM) suited to engaging educational technologies. Attitudes towards virtual reality (VR) for learning was used to test the experimental model. One hundred and seventy-nine valid survey responses were collected from 517 potential…
Descriptors: Technology Integration, Educational Technology, Computer Simulation, College Freshmen
Download full textRahim, Nur Nadiah Abdul; Humaidi, Norshima; Aziz, Siti Rahayu Abdul; Zain, Nurul Hidayah Mat – Asian Journal of University Education, 2022
The COVID-19 pandemic has impacted higher education in Malaysia that requires the academics to transform their teaching style to online teaching. Hence, it is essential for them to be skillful in using new technology in teaching and learning. In Open and Distance Learning (ODL), the academic staff must learn a new environment of learning…
Descriptors: COVID-19, Pandemics, Readiness, Distance Education
Sun, Peijian Paul; Mei, Bing – Computer Assisted Language Learning, 2022
This study focuses on preservice Chinese-as-a-second/foreign-language (L2 Chinese) teachers with a theoretical perspective based on prior technology acceptance research in the educational context, to investigate factors influencing preservice L2 Chinese teachers' intention to use educational technology in their future classrooms. Six relevant…
Descriptors: Chinese, Second Language Instruction, Preservice Teachers, Language Teachers
Esawe, Ahmed T.; Esawe, Karim Taher; Esawe, Narges Taher – E-Learning and Digital Media, 2023
After the spread of the coronavirus around the world, the Egyptian government imposed blended learning on higher education institutions. Consequently, colleges and universities in Egypt are entering a new era where learning is not confined to the classroom alone but also through learning management systems (LMSs). Thus, this study adopts the…
Descriptors: Foreign Countries, COVID-19, Pandemics, Blended Learning
Liu, Yiming; Sun, Jerry Chih-Yuan; Chen, Ssu-Kuang – Interactive Learning Environments, 2023
This study integrated augmented reality (AR) and three-dimensional (3D) maps into mobile learning for library use instruction. To maximize the benefits of mobile library applications (MLAs), their technology acceptance was examined. Because of the e-learning context, the General Extended Technology Acceptance Model for E-Learning (GETAMEL)…
Descriptors: Computer Simulation, Maps, Telecommunications, Handheld Devices
Fatih Balaman; Muhammet Bas – Interactive Learning Environments, 2023
This study is aimed to develop a scale that measures university students' perception of using e-learning platforms by using the Technology Acceptance Model (TAM). The sample consisted of 636 university students. The Exploratory Factor Analysis (EFA) results revealed 5-factors on a 6-items scale. The five factors that were revealed on the EFA…
Descriptors: Electronic Learning, Computer Attitudes, College Students, Usability
Rosmayanti, Vivit; Noni, Nurdin; Patak, Andi Anto – International Journal of Language Education, 2022
This study aimed at determining how Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions influenced Behavioral intentions to use technology in learning English Pharmacy. This study employed a sample of 100 pharmacy students who were enrolled in English pharmacy course. The samples were chosen using quota…
Descriptors: Student Attitudes, Technology Uses in Education, English (Second Language), Second Language Learning
Mo, Daniel Y.; Tang, Yuk Ming; Wu, Edmund Y.; Tang, Valerie – Education and Information Technologies, 2022
Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching…
Descriptors: Higher Education, Computer Assisted Testing, Models, Student Attitudes
Khlaisang, Jintavee; Teo, Timothy; Huang, Fang – Interactive Learning Environments, 2021
This study investigated factors that influenced university students' intentions to use smart applications in flipped learning (FL) in Thailand flipped classrooms (FC) by extending the technology acceptance model (TAM) as the research model. Eight variables including relative advantage (ADV), peer influence (PI), school support (SS), reputation…
Descriptors: Flipped Classroom, Foreign Countries, College Students, Technology Uses in Education
Chávez Herting, David; Cladellas Pros, Ramon; Castelló Tarrida, Antoni – Interactive Learning Environments, 2023
The objective of this study was to examine the variables that affect the use of PowerPoint by university professors. Based on the revised unified theory of acceptance and use of technology (UTAUT-2), a theoretical model adapted to the study context was proposed. The impact of the attitude towards PowerPoint, performance expectancy, effort…
Descriptors: Habit Formation, Educational Technology, Technology Uses in Education, College Faculty
Isikli, Mesut; Sezer, Adem – Shanlax International Journal of Education, 2022
The aim of this study was to investigate pre-service social studies teachers' self-efficacy perceptions towards the integration of technology in education and their technology acceptance levels in terms of different variables (gender, grade, level of interest in technological innovations, training on the use of technology in education) and to…
Descriptors: Preservice Teachers, Social Studies, Technology Integration, Technology Uses in Education
Wright, Sarah R. – ProQuest LLC, 2018
The computing industry has advanced at a rapid pace from desktops and laptops to mobile devices that can be held or worn including smart phones, tablets, and smart watches. These mobile technologies have become a part of every facet of life from banking and health care to new ways to communicate with family and peers. While business and industry…
Descriptors: Telecommunications, Handheld Devices, Higher Education, College Faculty
Habes, Mohammed; Elareshi, Mokhtar; Salloum, Said A.; Ali, Sana; Alfaisal, Raghad; Ziani, Abdulkrim; Alsridi, Hetam – Educational Media International, 2022
Mobile learning (e.g., WhatsApp) is considered a good platform for educational information and communication, but the educative value of this platform, especially during COVID-19, remains unexplored. This study investigates the factors of mobile learning acceptance (MLA) in Jordan, utilizing the Technology Acceptance Model (TAM) alongside…
Descriptors: Student Attitudes, Electronic Learning, Handheld Devices, COVID-19
