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Ismaila Temitayo Sanusi; Musa Adekunle Ayanwale; Thomas K. F. Chiu – Education and Information Technologies, 2024
Artificial Intelligence (AI) has triggered profound reforms across industries, including education. These developments necessitate the inclusion of AI as a subject in K-12 classrooms. However, the need for students to learn AI demands that educators pay increasing attention, believe in its relevance and intend to promote it among their students…
Descriptors: Artificial Intelligence, Elementary Secondary Education, Teacher Attitudes, Intention
Cedomir Stanojevic; Jennifer Piatt; Selma Sabanovic – Journal of Special Education Technology, 2025
Purpose: This research explores the initial attitudes of special educators towards socially assistive robots (SAR) and considers how cultural and socioeconomic backgrounds shape these attitudes. Special educators providing services to individuals with autism spectrum disorder (ASD) in the United States and Serbia were surveyed, representing…
Descriptors: Special Education Teachers, Teacher Attitudes, Robotics, Technology Uses in Education
Hery Sawiji – Cogent Education, 2024
The aim of this study is to explore and identify the factors influencing the intentions of vocational high school teachers in Indonesia to utilize web-based e-learning platforms. Utilizing the Technology Acceptance Model (TAM) as the theoretical framework, this research expands to include three additional external variables: motivation to use,…
Descriptors: Foreign Countries, Vocational Education Teachers, High School Teachers, Intention
Huang, Rui-Ting; Jabor, Mohd Khata; Tang, Tzy-Wen; Chang, Sheng-Chun – Asia Pacific Education Review, 2022
Although there are numerous mobile learning studies, limited efforts have been devoted to investigating the moderating role of mobile technology anxiety on mobile learning outcome. Accordingly, the primary purpose of this study is not only to examine the key elements that could influence desire to take mobile learning and mobile learning…
Descriptors: Telecommunications, Handheld Devices, Anxiety, Technology Uses in Education
IBIlI, Emin; Ilhanli, Nevruz; ZayIm, Nese; Yardimci, Ahmet – Educational Gerontology, 2023
This study was aimed at determining the factors that affect the intentions of University of the Third Age (UTA) students toward e-learning systems by using Structural Equation Modeling. For this purpose, factors such as Self-Efficacy, Experience, Social Norms, Enjoyment, and Anxiety, suggested as external factors in the General Extended Technology…
Descriptors: Foreign Countries, Electronic Learning, Intention, Influences
Turan, Zeynep; Kucuk, Sevda; Karabey, Sinem Cilligol – Participatory Educational Research, 2022
This study aimed to investigate the pre-service teachers' behavioural intentions about using gamification tools and the critical factors affecting their usage. The data were collected from 313 pre-service teachers from two large-scale universities in Turkey through a questionnaire with seven constructs: perceived ease of use, usefulness,…
Descriptors: Preservice Teachers, Intention, Educational Games, Student Attitudes
Sahin, Ferhan; Sahin, Yusuf L. – International Technology and Education Journal, 2021
Increasing the quality of education with the use of technology has been one of the main goals of education for many years. In this direction, e-learning systems have attracted great interest from higher education institutions and large-scale investments have been made in these systems. The transition to online education worldwide with the effect…
Descriptors: Electronic Learning, Distance Education, Technology Integration, COVID-19
Islamoglu, Hakan; Kabakci Yurdakul, Isil; Ursavas, Omer Faruk – Educational Technology Research and Development, 2021
The purpose of this study was to develop a mobile learning acceptance model for pre-service teachers and to examine the relationships among technology acceptance factors. The literature on mobile learning acceptance lacks studies on pre-service teachers and studies that include concrete mobile learning scenarios. To overcome these problems, we…
Descriptors: Preservice Teachers, Preservice Teacher Education, Educational Technology, Technology Uses in Education
Vallade, Jessalyn I.; Kaufmann, Renee; Frisby, Brandi N.; Martin, Joe C. – Communication Education, 2021
Given the opportunities new technologies afford students and instructors, this mixed methods, longitudinal study examined factors impacting college students' behavioral intentions for adopting virtual reality (VR) headsets and 360° video for public speaking rehearsals. Using the technology acceptance model, quantitative findings suggest that both…
Descriptors: Educational Technology, Technology Uses in Education, Public Speaking, Video Technology
Baki, Rahmi; Birgoren, Burak; Aktepe, Adnan – Turkish Online Journal of Distance Education, 2021
The use and benefit of Distance Learning Systems (DLS) can be increased by a detailed analysis of the factors affecting students' intention to use. This study aims to analyse the effect of various independent variables on the user satisfaction and intention to use DLS via Perceived Ease of Use and Perceived Usefulness. In addition, Time…
Descriptors: Intention, Technology Integration, Adoption (Ideas), Distance Education
Zhao, Shu; Kinshuk; Yao, Ying; Ya, Nan – Educational Technology Research and Development, 2021
Mobile social media are increasingly being used in education. They provide an effective way to address the imbalance between teaching supply and demand for older adults. However, few studies have investigated which factors contribute to older adults' intention to use mobile social media for learning. This study uses a sequential explanatory mixed…
Descriptors: Foreign Countries, Social Media, Telecommunications, Handheld Devices
Tsai, Chih-Cheng; Cheng, Yuh-Min; Tsai, Yu-Shan; Lou, Shi-Jer – Education Sciences, 2021
In this study, experimental teaching was conducted through the artificial intelligence of things (AIOT) practical course, and the 4D (discover, define, develop, deliver) double diamond shape was used to design the course and plan the teaching content to observe the students' self-efficacy and learning anxiety. The technology acceptance model (TAM)…
Descriptors: High School Students, Student Satisfaction, Value Judgment, Usability
Lao, Huei-Chen – ProQuest LLC, 2016
In this quantitative study, a survey was developed and administered to middle and high school teachers to examine what factors motivated them to implement problem-based learning (PBL). Using Expectancy-Value Theory by Eccles et al. (1983) and Self-Determination Theory by Ryan and Deci (2000b) as the theoretical framework, this instrument measured…
Descriptors: Test Construction, Middle Schools, High Schools, Secondary School Teachers