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Adam Ishak – Malaysian Online Journal of Educational Technology, 2024
Despite vast improvements in technology infrastructure and classroom technology implementation across Malaysia, there still remain teachers who fail to seamlessly integrate technology in their lessons. Potential explanations for this behaviour span from low self-efficacy and computer anxiety to personal attitudes and beliefs. Technology has been…
Descriptors: Preservice Teachers, Technology Uses in Education, Computers, Student Attitudes
Fahmi Zaidi Abdul Razak; Mohd Amli Abdullah; Badli Esham Ahmad; Wan Hashridz Rizal Bin Wan Abu Bakar; Nur Aulia Fahada Binti Misaridin – Education and Information Technologies, 2025
The utilization of artificial intelligence (AI) among students is rapidly gaining prominence worldwide. However, Malaysia lags in terms of research and information in this area. This quantitative study aims to identify the factors that contribute to the adoption of AI among postgraduate students. The study focuses on the postgraduate student…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Uses in Education
Jinhee Kim; Young Hoan Cho – Asia Pacific Journal of Education, 2025
Educators expect artificial intelligence (AI) to augment student capabilities and rapidly transform teaching and learning practices. However, little is known about students' perceptions of AI and what they expect from AI in student-AI teaming. There is a lack of holistic understanding of the nature, effects, and areas of improvement in teamwork by…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Attitudes, Expectation
Eliza Rossiter; T. J. Thomson; Rachel Fitzgerald – Interactive Technology and Smart Education, 2024
Purpose: The purpose of this study is to evaluate the use and effectiveness of a bespoke mobile learning resource, Pocket Tutor. This resource responds to a number of teaching and learning challenges within the tertiary education context. These include those related to the number and type of learning activities that can be offered, class pacing,…
Descriptors: College Students, Electronic Learning, Handheld Devices, Technology Uses in Education
Yohan Hwang; Seongyong Lee; Jaeho Jeon – Education and Information Technologies, 2025
Alongside technological advances, the educational potential of artificial intelligence (AI) chatbots and the metaverse has generated significant interest in the field of computer-assisted language learning (CALL). However, despite this heightened interest, there have been no studies that have delved into the effective integration of these two…
Descriptors: Technology Integration, Technology Uses in Education, Artificial Intelligence, Computer Mediated Communication
Runping Zhu; Xiujie Wang; Xinxin Yu; Philip Wing Keung Chan – Education and Information Technologies, 2025
As artificial intelligence (AI) makes inroads into all aspects of work, the need for training in the use of AI should be self-evident. Often, however, education institutions lag in incorporating these new skills into the curriculum. Drawing on previous research, this paper develops a bespoke model to investigate how three groups of factors --…
Descriptors: Foreign Countries, College Students, Student Attitudes, Journalism Education
Driss Ait Ali; Brahim El Houate; Mohamed Adane; Mohamed El Koutbi; Idriss Houmam; Abdelilah El Meniari; Fatima Senhaji – Journal of Educators Online, 2024
One of the top concerns of educational policies around the world is the use of digital tools in the teaching and learning process. In Morocco, the integration of technology into nursing education is taking on an increasingly prominent role, particularly after the introduction of the LMD (Licence-Master-Doctorat) system. This study investigates…
Descriptors: Technology Uses in Education, Information Technology, Nursing Students, Student Attitudes
Teemu H. Laine; Woohyun Lee – IEEE Transactions on Learning Technologies, 2024
The metaverse is a network of interoperable and persistent 3-D virtual worlds where users can coexist and interact through mechanisms, such as gamification, nonfungible tokens, and cryptocurrencies. Although the metaverse is a theoretical construct today, many collaborative virtual reality (CVR) applications have emerged as potential components of…
Descriptors: Computer Simulation, Simulated Environment, College Students, Student Attitudes
Tolulope Famaye; Cinamon Sunrise Bailey; Ibrahim Adisa; Golnaz Arastoopour Irgens – International Journal of Technology in Education, 2024
The emergence of ChatGPT, an AI-powered language model, has sparked numerous debates and discussions. In educational research, scholars have raised significant questions regarding the potential, limitations, and ethical concerns around the use of this technology. While research on the application and implications of ChatGPT in academic settings…
Descriptors: Artificial Intelligence, High School Students, Technology Uses in Education, Student Attitudes
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
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
Serkan Perkmen – Journal of Digital Learning in Teacher Education, 2025
The current study introduced and assessed the effectiveness of a multimedia-based instructional strategy to enhance the technology integration self-efficacy of 98 special education pre-service teachers. 78% of participants demonstrated growth in their self-efficacy scores. Specifically, pre-service teachers with initial low and medium…
Descriptors: Preservice Teachers, Special Education Teachers, Self Efficacy, Technology Integration
Boo Young Lim; Vickie E. Lake; Amber H. Beisly; Rae K. Ross-Lightfoot – Early Education and Development, 2024
Research Findings: This mixed-methods study utilized the Technological Pedagogical Content Knowledge (TPACK) framework to examine surveys, reflections, focus groups, and lesson plans from 22 pre-service teachers (PSTs) participating in two technology-rich courses. Following the completion of these courses, the results indicated a notable…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Preservice Teachers, Student Attitudes
Daniel Gbormittah; Daniel Paa Korsah; Japhet Kwasi Osiakwan; George Adom – Discover Education, 2024
Despite growing recognition of the value of using technology in mathematics instruction and learning, preservice teachers consistently performed abysmally in college geometry. This study therefore examined the attitude of preservice teachers towards the integration of technology in the teaching and learning of College Geometry. Quantitative…
Descriptors: Student Attitudes, Preservice Teachers, Technology Integration, Geometry
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