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Thinley Wangdi; Karma Sonam Rigdel – Journal of Education for Teaching: International Research and Pedagogy, 2025
This qualitative study explored the factors that influence teachers' behavioural intention (BI) to use ChatGPT for teaching. The data was collected from 214 Bhutanese teachers using open-ended questions and interviews. The thematic analysis revealed four key factors that are likely to influence teachers' BI to use ChatGPT in the context. These…
Descriptors: Teacher Attitudes, Intention, Artificial Intelligence, Computer Software
Fengyao Sun; Peiyao Tian; Daner Sun; Yanhua Fan; Yuqin Yang – British Journal of Educational Technology, 2024
In the ever-evolving AI-driven education, integrating AI technologies into teaching practices has become increasingly imperative for aspiring STEM educators. Yet, there remains a dearth of studies exploring pre-service STEM teachers' readiness to incorporate AI into their teaching practices. This study examined the factors influencing teachers'…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
Piret Luik; Merle Taimalu; Karin Naruskov; Karmen Kalk – Education and Information Technologies, 2024
Teacher training mainly involves acquisition of knowledge and skills. For the 21st-century classroom, student teachers must acquire complex knowledge of pedagogy, subject and technology. Beliefs influence decisions on using what is learned. The present study aims to find a model describing how Technological Pedagogical Content Knowledge (TPACK)…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Student Teachers, Student Teacher Attitudes
Polly, Drew; Martin, Florence; Byker, Erik – Computers in the Schools, 2023
This study examines 105 pre-service and in-service teachers' perceptions of the importance and helpfulness of digital technologies for their learning and their teaching as well as their perceived competence and level of interest in digital technologies. The descriptive statistics from an online survey show that all respondents (n = 105) found…
Descriptors: Preservice Teachers, Teachers, Student Attitudes, Teacher Attitudes
Oluwanife Segun Falebita; Petrus Jacobus Kok – Journal for STEM Education Research, 2025
This study investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…
Descriptors: Artificial Intelligence, Technology Uses in Education, Structural Equation Models, Undergraduate Students
Zafer Unal – SRATE Journal, 2025
This study evaluates TeacherServer, a generative AI platform for educators, focusing on its effectiveness and usability. Using the Teachers' Acceptance of AI in Education (TAAI) framework, it assesses teachers' perceptions before and after workshops with 148 K-12 teachers from Florida. Results show a notable improvement in teachers' acceptance of…
Descriptors: Artificial Intelligence, Teaching Methods, Computer Software, Usability
Lorraine Raqueno Catienza – ProQuest LLC, 2024
Western Pacific educational institutions are investing heavily in technology in classrooms to meet the needs of K-12 students. Measuring the effective use of digital technologies in the learning environment has become a routine part of monitoring and evaluating classroom instruction. One area of technology integration that has seen tremendous…
Descriptors: Elementary Secondary Education, Elementary School Teachers, Secondary School Teachers, Game Based Learning
Khlaisang, Jintavee; Songkram, Noawanit; Huang, Fang; Teo, Timothy – Interactive Learning Environments, 2023
The current study examines antecedents to teachers' behavioral intentions to use smart technologies in Thailand based on the technology acceptance model. 825 primary school teachers participated in a survey consisting of 11 constructs: perceived usefulness, perceived ease of use, attitude towards use, behavioral intention, peer influence,…
Descriptors: Foreign Countries, Teacher Attitudes, Telecommunications, Handheld Devices
Geesje van den Berg – Discover Education, 2025
The research aimed to explore teachers' use of artificial intelligence (AI) in the classroom. The context of the study was a master's programme in Education at a South African open distance learning institution. One of the modules focussed on technology integration in open distance learning, and 19 enrolled students participated in the study. The…
Descriptors: Artificial Intelligence, Technology Uses in Education, Open Education, Distance Education
Nurul Ashikin Izhar; Wendy Ven Ye Teh; Anita Adnan – Journal of Information Technology Education: Innovations in Practice, 2025
Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Technology Integration
Hakami, Tahani Ali; Al-Shargabi, Bassam; Sabri, Omar; Khan, Syed Md Faisal Ali – Journal of Educators Online, 2023
The information revolution has transformed higher education. After the COVID-19 pandemic, teachers and instructors were encouraged to improve technology-enhanced teaching methods. Furthermore, various factors influenced the adoption of internet and digital-based technologies as an aspect of teaching methodology, including its usefulness, ease of…
Descriptors: Foreign Countries, Educational Technology, Technology Integration, Electronic Learning
Bove, Lisa Anne; Conklin, Sheri – Online Journal of Distance Learning Administration, 2019
When faculty need to use technology that is not familiar to them, it may take more time to integrate into to their teaching. The purpose of this study was to gather data on the ease of use and usefulness of the Blackboard LMS in anticipation of transitioning to a new LMS. A survey with the Technology Adoption Model (TAM) usability and perceived…
Descriptors: Technology Integration, Adoption (Ideas), College Faculty, Teacher Attitudes
Dogan, Selcuk; Dogan, Nihan Agacli; Celik, Ismail – Education and Information Technologies, 2021
The purpose of this study was to examine the effect of technology support, teachers' confidence in using technology, their beliefs about using technology, and their perceived skills on the use of instructional and application software. The data we used were from 1335 K-12 teachers involved in the Technology Uses and Perceptions Survey (TUPS)…
Descriptors: Technology Uses in Education, Technology Integration, Teacher Attitudes, Self Efficacy
Ölmez, Rabia; Ulutas, Nurdan Kavakli – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
Technology acceptance is rooted at the center of the growing body of research in lieu of education, educational technology, and teacher education. This is mainly occupied with the idea of integrating technology into the classroom setting in order to trigger learners to be advanced in higher-order thinking skills and be digitally literate in order…
Descriptors: Educational Technology, Technology Integration, Teaching Methods, Thinking Skills
Conklin, Sheri; Bove, Lisa Anne – Online Journal of Distance Learning Administration, 2021
Faculty willingness to adopt new technologies varies depending on the perceived usefulness and ease the technology offers, as well as how the process change is managed (Buchanan, Sainter, & Saunders, 2013). Lewin's Change Management Model was applied to a Learning Management System (LMS) change at a higher education institution to influence…
Descriptors: Change Strategies, Integrated Learning Systems, Technology Integration, Usability