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Reham Adel Ali; Mohamed Soliman; Muhammad Roflee Weahama; Muhammadafeefee Assalihee; Imran Mahmud – Smart Learning Environments, 2025
The current study explores metaverse adoption among higher education institutions (HEIs) in the light of a theoretical framework to empower future perspectives of the metaverse as a learning platform. Even though this technology was just recently introduced to the higher education sector, very few attempts have been made to evaluate its impact.…
Descriptors: Technology Uses in Education, College Students, Student Attitudes, Private Colleges
Brian Shambare; Thuthukile Jita – Smart Learning Environments, 2025
Teaching in rural schools is frequently marked by challenges ranging from restricted technological infrastructure and geographical remoteness to sparse professional development. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT), this paper reports findings from a sequential explanatory mixed-methods study that investigated…
Descriptors: Influences, Computer Simulation, Technology Uses in Education, Technology Integration
Yao Qu; Michelle Xin Yi Tan; Jue Wang – Smart Learning Environments, 2024
The rapid development of generative artificial intelligence (GenAI) technologies has sparked widespread discussions about their potential applications in higher education. However, little is known about how students from various disciplines engage with GenAI tools. This study explores undergraduate students' GenAI knowledge, usage intentions, and…
Descriptors: Undergraduate Students, Learner Engagement, Technology Uses in Education, Artificial Intelligence
M. Claire Buchan; Jasmin Bhawra; Tarun Reddy Katapally – Smart Learning Environments, 2024
The rapid expansion of digital connectivity has provided youth with wide-ranging access to digital platforms for communication, entertainment, and education. In light of this profound shift, there have been growing concerns about online safety, data privacy, and cybersecurity. A critical factor influencing the ability of youth to responsibly…
Descriptors: Digital Literacy, Program Implementation, Measures (Individuals), Foreign Countries
Saja Wardat; Mohammed Akour – Smart Learning Environments, 2024
This research explores the key motivating factors that influence student engagement with wearable technology (WT) in teaching English to speakers of other languages (TESOL) education. The study employs a novel, integrated framework that merges elements from the established technology acceptance model (TAM), Flow Theory, and additional factors…
Descriptors: Technology Uses in Education, English (Second Language), Second Language Instruction, Educational Technology
Meccawy, Maram – Smart Learning Environments, 2023
Recent international empirical studies have demonstrated positive results when applying extended reality (XR) technologies such as augmented reality, virtual reality, or mixed reality in teaching and learning. Thus, the preconditions and challenges of use must be investigated from teachers' perspectives prior to implementing these technologies in…
Descriptors: Computer Simulation, Simulated Environment, Technology Integration, Teacher Attitudes
Hanieh Shafiee Rad – Smart Learning Environments, 2025
This research delves into the transformative potential of artificial intelligence (AI) interventions in advancing reading comprehension, sparking learner engagement, and empowering self-regulated learning. It addresses a gap in the literature regarding innovative approaches to fostering these skills through emerging technologies. An AI-based…
Descriptors: Reading Comprehension, Second Language Learning, Artificial Intelligence, Learner Engagement
Gamze Emir; Gonca Yangin-Eksi – Smart Learning Environments, 2024
This study systematically reviews telecollaboration studies conducted between 2013 and 2023 in English language teacher education. This review scrutinized telecollaboration studies conducted in English language teacher education regarding their research focal points, study contexts, and the technological tools employed. The study also aimed to…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Teacher Education
Masoumeh Bagheri-Nesami; Mahsa Kamali; Amirabbas Mollaei – Smart Learning Environments, 2025
Nurses acknowledge that their understanding of the shortcomings in the utilization of medical devices stems from insufficient knowledge about their correct usage. The use of Quick Response (QR) technology has paved a new gateway for accessing information and resources. The available evidence confirmed the usefulness of QR codes for use in clinical…
Descriptors: Medical Services, Handheld Devices, Knowledge Level, Clinical Experience
Nja, Cecilia Obi; Idiege, Kimson Joseph; Uwe, Uduak Edet; Meremikwu, Anne Ndidi; Ekon, Esther Etop; Erim, Costly Manyo; Ukah, Julius Ukah; Eyo, Eneyo Okon; Anari, Mary Ideba; Cornelius-Ukpepi, Bernedette Umalili – Smart Learning Environments, 2023
This study investigated the factors influencing science teachers' 'Artificial Intelligence' (AI) utilization by using the 'Technology Acceptance Model' (TAM). The factors investigated alongside TAM variables were teachers' data like; age, sex, and residence type. TAM items that were correlated in this study included; self-esteem, stress and…
Descriptors: Science Teachers, Educational Technology, Technology Integration, Artificial Intelligence
Amir Reza Rahimi; Zahra Mosalli – Smart Learning Environments, 2025
Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted language learning (CALL). However, further research in this area is necessary to apply a theoretical framework with a pedagogical-oriented…
Descriptors: Second Language Learning, Second Language Instruction, Artificial Intelligence, Technology Uses in Education
Álvaro Antón-Sancho; Diego Vergara; Pablo Fernández-Arias – Smart Learning Environments, 2024
Virtual Reality (VR) is a computer-generated environment with noteworthy didactic applications in different educational levels and areas of knowledge. The study of the perceptions of the agents involved about the use of VR in lectures is a fruitful line of research because it has implications in terms of the measures to be taken to improve the…
Descriptors: Computer Simulation, College Faculty, Social Sciences, Engineering
Khadri, Hanaa Ouda – Smart Learning Environments, 2021
There is a growing interest in employing telepresence robots in different educational contexts due to their great potentials to enhance and improve educational experiences for remote learners. However, there is little use of telepresence robots in virtual transnational education contexts in developing countries. There is a lack of knowledge about…
Descriptors: College Faculty, Teacher Education, Technology Uses in Education, Robotics
Alvi, Irum – Smart Learning Environments, 2021
The term Social Networking Tools is used for social media applications accessible via mobile devices/smartphones; their use has become ubiquitous among college students, especially after the COVID 19 Pandemic, due to which the institutes of Higher education were shut down. A research gap was identified as the students' acceptance of these learning…
Descriptors: Foreign Countries, Social Media, Telecommunications, Handheld Devices
Competency Levels and Influential Factors of College Students' Mobile Learning Readiness in Thailand
Diteeyont, Watsatree; Heng-Yu, Ku – Smart Learning Environments, 2023
One of the key successes of learning through mobile technology comes from the competencies of learners. This study aimed to investigate the overall competency levels of mobile learning readiness and four influential factors (connectivist learners, technology readiness, self-directed learning, and netiquette) that may impact college students'…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Readiness