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Direct linkHaidee A. Jackson; Kara Rosenblatt – Journal of Special Education Technology, 2025
We aimed to capture reflections of in-service educators' understanding of the use of technology in teaching, after receiving instruction on the Universal Design for Learning (UDL) and Triple-E technology integration frameworks. Our objectives were to investigate in-service educators' reflections for the presence of any changes in their reasoning…
Descriptors: Technology Integration, Attitude Change, Access to Education, Graduate Students
Download full textKrittanai Thararattanasuwan; Veena Prachagool – International Education Studies, 2024
The relevance of incorporating AI into educational settings is growing as the technology develops. This research delves into the perspective of pre-service teachers on generative AI technology. This study employed 45 pre-service teachers to raise their perspective towards AI technology and then explore its correlation about components of AI…
Descriptors: Artificial Intelligence, Educational Technology, Technology Integration, Preservice Teachers
Benicio Gonzalo Acosta-Enriquez; Marco Agustín Arbulú Ballesteros; Carmen Graciela Arbulu Perez Vargas; Milca Naara Orellana Ulloa; Cristian Raymound Gutiérrez Ulloa; Johanna Micaela Pizarro Romero; Néstor Daniel Gutiérrez Jaramillo; Héctor Ulises Cuenca Orellana; Diego Xavier Ayala Anzoátegui; Carlos López Roca – International Journal for Educational Integrity, 2024
Artificial intelligence (AI) has been integrated into higher education (HE), offering numerous benefits and transforming teaching and learning. Since its launch, ChatGPT has become the most popular learning model among Generation Z college students in HE. This study aimed to assess the knowledge, concerns, attitudes, and ethics of using ChatGPT…
Descriptors: Student Attitudes, Ethics, Knowledge Level, Age Groups
V. U Risana; Asheekha Shirin; Rukhiya Naduvile Purayil; Sandra Rose Mathew; Sauparnika Soman; C. Sarath Chandran; S. S. Kiron – Discover Education, 2024
This study aimed to understand the knowledge, application, and perspective of B. Pharm students regarding artificial intelligence (AI) tools. This study used a quantitative cross-sectional observational design, and data were collected using a questionnaire. The questionnaire was distributed among B. Pharm students in India, and 305 participants…
Descriptors: Foreign Countries, Undergraduate Students, Pharmaceutical Education, Student Attitudes
Walker, Clive Beresford – ProQuest LLC, 2023
The current conditions concerning the use of mobile technology in higher education suggest mobile devices such as smartphones will soon be integrally relied on to support formal and informal student learning. However, the formal use of mobile technologies in higher education has yet to establish a notable foothold, and m-learning pedagogical…
Descriptors: College Students, Student Attitudes, Telecommunications, Handheld Devices
Habibi, Akhmad; Riady, Yasir; Samed Al-Adwan, Ahmad; Awni Albelbisi, Nour – Computers in the Schools, 2023
The main purpose of the current research was to explore the relationships between beliefs/knowledge and technology integration (TI) during teaching practice (i.e., placement or practicum) among Indonesian pre-service teachers. Five core variables of the theory of planned behavior or TPB (subjective norms, attitudes, perceived behavioral control,…
Descriptors: Preservice Teachers, Student Attitudes, Beliefs, Knowledge Level
Vincentas Lamanauskas – International Baltic Symposium on Science and Technology Education, 2025
The use of AI in the training of pre-service preschool and primary school teachers is a significant, but not sufficiently researched, issue. Although the application of AI in education is widely studied, specific studies related to preschool and primary education teacher preparation are rarer. The cognitive, emotional, and motor abilities of…
Descriptors: Preservice Teachers, Preschool Teachers, Elementary School Teachers, Teacher Attitudes
Yilong Su; Meina Luo; Chenyin Zhong – SAGE Open, 2025
Artificial intelligence-driven chatbots have sparked significant changes in English education, which is challenging for pre-service teachers. To date, it remains unclear what are pre-service English teachers' perceptions of and needs in integrating chatbots into English education. This study, therefore, explored Chinese pre-service English…
Descriptors: Preservice Teachers, Language Teachers, Student Attitudes, Preservice Teacher Education
Bongumusa W. S. Gubevu; Vusi Mncube – Perspectives in Education, 2024
This article examines geography teachers', parents' and learners' understanding and experiences of the integration of Information and Communication Technologies (ICTs) in the teaching of that subject. The study was guided by the TPACK-SAMR model, which proved to be a reliable tool for measuring the extent of ICT integration. The purposive sampling…
Descriptors: Foreign Countries, Geography Instruction, Knowledge Level, Experience
Faouzi Kamoun; Walid El Ayeb; Ibtissem Jabri; Sami Sifi; Farkhund Iqbal – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study explores the Knowledge, Attitude, and Perception (KAP) towards ChatGPT among university students and faculty. It also examines the faculty's readiness to cope with the challenges and leverage the opportunities presented by AI-powered conversational models. Background: Launched on November 30, 2022, ChatGPT took the world by…
Descriptors: Knowledge Level, Student Attitudes, Teacher Attitudes, Artificial Intelligence
Su Jeong Wee; Jessica Michele Dennis; Yafen Lo; Kheng Ly-Hoang; Patricia Ramirez-Ulloa – International Journal of Early Years Education, 2024
Early childhood (EC) education has usually involved in-person teaching and learning. However, the COVID-19 pandemic has imposed remote teaching on EC practitioners and complicated practicum students' fieldwork experiences. This study explored EC practicum students' fieldwork experiences in the U.S. during the pandemic and their preparedness for…
Descriptors: COVID-19, Pandemics, Early Childhood Education, Practicums
Foulger, Teresa S.; Buss, Ray R.; Su, Man – Educational Technology Research and Development, 2021
Prior to this study, a testable model for the influence of contextual knowledge (XK) on teacher candidates' intention to integrate technology into classroom instruction had not been established. We applied the Decomposed Theory of Planned Behavior (DTPB) to aid us in this effort. Our work (a) provided a theoretical conceptualization for factors of…
Descriptors: Preservice Teachers, Intention, Technology Integration, Educational Technology
Sui, Chi-Jung; Chen, Hsin-Chueh; Cheng, Ping-Han; Chang, Chun-Yen – Journal of Science Education and Technology, 2023
Utilizing an inquiry-learning space (ILS) via the Go-Lab platform, we investigated students' technology acceptance, knowledge integration [KI] process, and learning outcomes of both the high-achiever KI student and low-achiever KI student. This study aimed to understand how students engage in knowledge integration tasks using an inquiry-learning…
Descriptors: Student Attitudes, Technology Integration, Technology Uses in Education, High Achievement
Christoforidou, Alexandra; Georgiadou, Elissavet – Education Sciences, 2022
In recent years, Open Educational Resources (OER) have gained significant reach globally as a means of facilitating free and open access to educational materials. However, most of the empirical research on the adoption of OER in higher education is conducted in the US, while Europe and other countries, including Greece, fall behind. To that end,…
Descriptors: Foreign Countries, Open Educational Resources, Higher Education, College Students
Gado, Sabrina; Kempen, Regina; Lingelbach, Katharina; Bipp, Tanja – Psychology Learning and Teaching, 2022
Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This…
Descriptors: Artificial Intelligence, Psychology, Student Attitudes, Value Judgment
