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AlKanaan, Huda Muhammed Nasser – International Journal of Instruction, 2022
This study aimed to identify pre-service science teachers' awareness of employing artificial intelligence in science education. It sought also to determine the reasons that led to this level of pre-service science teachers' awareness of employing AI in science education. The mixed-method was used with an interpretive sequential design. The…
Descriptors: Artificial Intelligence, Science Education, Preservice Teachers, Technology Integration
Haidee 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
Krittanai 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
Abdellateef Abdelhafez Alqawasmi; Najeh Rajeh Alsalhi; Mohd. Elmagzoub Eltahir; Bushra Ahmad Alakashee; Sami Al-Qatawneh; Ali Ahmad Al-Barakat; Samih Mahmoud Al Karasneh – Educational Process: International Journal, 2025
Background/purpose: As artificial intelligence (AI) continues to reshape educational landscapes, understanding faculty awareness and readiness is crucial for effective AI integration in higher education. This study examines AI awareness among faculty members at a university in the United Arab Emirates (UAE) and its relationship with digital…
Descriptors: Foreign Countries, Artificial Intelligence, College Faculty, Knowledge Level
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
Guoshuai Lan; Xiaoxiao Feng; Shuilian Du; Fan Song; Qi Xiao – Education and Information Technologies, 2025
Despite the critical role teachers play in AI education, research on their understanding of generative AI tools remains limited, particularly concerning their ethical assessment knowledge. This study addresses the gap by proposing the Generative AI Technological Pedagogical Content Knowledge (GenAI-TPACK) framework, which incorporates ethical…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Technological Literacy
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
Gomez-Trigueros, Isabel Maria – Contemporary Educational Technology, 2023
This paper analyzes the professional ethical knowledge of teachers in the use of technologies by teachers in training. Based on the disciplinary pedagogical technological knowledge (TPACK) model, it is intended to measure the correct inclusion of technologies in the classroom. For this, a descriptive exploratory methodological design study was…
Descriptors: Technological Literacy, Pedagogical Content Knowledge, Knowledge Level, Ethics
Ran Jiang – Action, Criticism, and Theory for Music Education, 2025
Artificial Intelligence (AI) technology is reshaping the ways humans study and work across various disciplines. In the field of music, AI technology shows its possibility to empower individuals at diverse levels of musical knowledge in music creation, from novices to experts. In this article, I explore philosophical questions within both AI…
Descriptors: Educational Philosophy, Music Education, Artificial Intelligence, Computer Software
Robin Shusko – ProQuest LLC, 2024
This study examined faculty and staff perceptions and experiences regarding campus safety awareness, focusing on their engagement in emergency preparedness training. The aim was to assess the alignment of their perceptions, experiences, knowledge, and participation in campus safety training. It is crucial for faculty and staff to be well-informed…
Descriptors: College Faculty, School Personnel, Attitudes, Experience
Moses Kumi Asamoah; Yaw Oheneba-Sakyi – E-Learning and Digital Media, 2024
The current surge in the usage of Internet, multimedia, and educational technologies as well as the exigencies of the COVID-19 pandemic has imposed ICT-driven education globally. One of the tools deployed for ICT-mediated teaching and learning is the Learning Management System (LMS). Unfortunately, some lecturers' adoption or use of the LMS for…
Descriptors: Foreign Countries, College Faculty, Technology Integration, Learning Management Systems
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
Amal Ibourk; Lauren Wagner; Clausell Mathis – Research in Science & Technological Education, 2023
Background: Understanding the properties of sound is difficult for students across all grade levels and even preservice elementary teachers (PSETs). Because of their abstract nature, there are challenges interpreting common features of sound waves. Purpose: The goal of this study is to understand pre-service elementary teachers' (PSETs)…
Descriptors: Preservice Teachers, Elementary School Teachers, Acoustics, Electronic Learning
Imran Mazid; Adrienne Wallace; Jin Chen; Sera Choi – Journalism and Mass Communication Educator, 2025
Artificial Intelligence (AI) can transform all sectors and daily life, but its integration into Public Relations (PR) education and adoption by PR professors is underexplored. This study examines these factors using the Technology Acceptance Model (TAM), focusing on seven variables: social influence, perceived AI knowledge, trust, emotion, AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Public Relations, Media Education
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

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