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Showing 1 to 15 of 21 results Save | Export
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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
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Muhammad Imran; Norah Almusharraf – Smart Learning Environments, 2024
This emerging technology report discusses Google Gemini as a multimodal generative AI tool and presents its revolutionary potential for future educational technology. It introduces Gemini and its features, including versatility in processing data from text, image, audio, and video inputs and generating diverse content types. This study discusses…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
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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
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Raffaele Di Fuccio; Joanna Kic-Drgas; Joanna Wozniak – Smart Learning Environments, 2024
This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…
Descriptors: Computer Simulation, Computer Oriented Programs, Second Language Learning, Cultural Awareness
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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
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Dimitriadou, Eleni; Lanitis, Andreas – Smart Learning Environments, 2023
The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led to the integration of Artificial Intelligence and…
Descriptors: Program Evaluation, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Lee, Alwyn Vwen Yen; Tan, Seng Chee; Teo, Chew Lee – Smart Learning Environments, 2023
Utilizing generative artificial intelligence, especially the more popularly used Generative Pre-trained Transformer (GPT) architecture, has made it possible to employ AI in ways that were previously not possible with conventional assessment and evaluation technologies for learning. As educational use cases and academic studies become increasingly…
Descriptors: Artificial Intelligence, Technology Integration, Sustainability, Knowledge Level
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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
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Idit Adler; Scott Warren; Cathleen Norris; Elliot Soloway – Smart Learning Environments, 2025
Smart learning environments provide students with opportunities to engage in self-regulated learning (SRL). However, little research has examined how teachers leverage these opportunities. We employed a multiple-case study methodology to examine the SRL supporting instructional practices of five third-grade teachers as they implemented a science…
Descriptors: Elementary School Students, Elementary School Teachers, Grade 3, Independent Study
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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
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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
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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
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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
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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
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Shah, Sayed Kifayat; Tang, Zhongjun; Sharif, Sayed Muhammad Fawad; Tanveer, Arifa – Smart Learning Environments, 2021
The social distancing due to the COVID-19 epidemic has disturbed all sectors of society, including education. To maintain normal operations, it is necessary to adapt quickly to this situation. Many technologies and platforms have rushed to offer their support to users. This article adopts a critical perspective to reflect on the factors that may…
Descriptors: Student Behavior, Intention, Adoption (Ideas), Technology Integration
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