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Download full textMeral Yavuz Kartal; Dinçay Koksal – Novitas-ROYAL (Research on Youth and Language), 2025
Using technology in foreign language learning can provide a variety of possibilities, significant opportunities, and significant benefits. Considering that Generation Z is a generation born into technology and grew up with it, it is critical to understand the intentions of Generation Z students to use technology in learning English and to find out…
Descriptors: English (Second Language), Second Language Learning, Technology Uses in Education, Student Attitudes
Direct linkSenad Becirovic; Mersad Dervic; Boris Mattoš – SAGE Open, 2025
This research seeks to investigate the variables that might affect university-level students' internet habits, their e-learning self-efficacy and academic achievement in a technology-enhanced teaching and learning environment. To attain the aforementioned objective the Information System Success (ISS) and Technology Acceptance Model (TAM) were…
Descriptors: College Students, Behavior Patterns, Internet, Self Efficacy
Sarah Alturkustani; Ashley Durfee; Olivia F. O'Leary; Siobhain M. O'Mahony; Conor O'Mahony; Mutahira Lone; Andreea Factor – Anatomical Sciences Education, 2025
Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…
Descriptors: Student Attitudes, Computer Simulation, Anatomy, Electronic Learning
Norah Basheer Alotaibi – Education and Information Technologies, 2025
Information and Communication Technology (ICT) has profoundly impacted social, psychological, and physical well-being, presenting positive and negative effects. This study primarily explores the negative aspects, specifically technostress, and its influence on mobile learning (m-learning) among university students, a crucial area with limited…
Descriptors: Electronic Learning, Academic Achievement, Undergraduate Students, Foreign Countries
Ting-Chia Hsu; Mu-Sheng Chen – Education and Information Technologies, 2025
This study aimed to compare the effectiveness of the experiential learning cycle (ELC) and self-regulated learning (SRL), both implemented through a game-based approach (AI 2 Robot City board game), in fostering computational thinking (CT) and understanding of artificial intelligence (AI) applications in university level. The sample consisted of…
Descriptors: College Freshmen, Artificial Intelligence, Logical Thinking, Teaching Methods
Shuchen Guo; Lehong Shi; Xiaoming Zhai – Education and Information Technologies, 2025
As artificial intelligence (AI) receives wider attention in education, examining teachers' acceptance of AI (TAAI) becomes essential. However, existing instruments measuring TAAI reported limited validity evidence and faced some design challenges, such as missing informed definitions of AI to participants. To fill this gap, this study developed…
Descriptors: Artificial Intelligence, Technology Uses in Education, Teacher Attitudes, Test Construction
Xinyu Liu; Yijia Liu – European Journal of Education, 2025
As artificial intelligence (AI) technology continues to advance, its influences across various industries have grown, leading to increasing levels of anxiety, including that in education. Nonetheless, in terms of current knowledge, the literature lacks a valid scale to measure AI anxiety among EFL teachers, particularly university EFL teachers.…
Descriptors: Artificial Intelligence, Anxiety, Second Language Instruction, English (Second Language)
