The present study examined students' perception of using Artificial intelligence-powered text-to-speech apps (AI TTS Apps) to learn aspects of English language pronunciation. This investigation was conducted considering the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). To ensure participants had prior experience using AI…

Many universities have adopted AR to enhance teaching and learning practices, but it has faced some obstacles. There is a lack of research on the obstacles of implications of AR in Saudi universities. This study aims to identify the extent to which faculty members agree with adopting AR as a pedagogical tool and whether there are statistically…

This study aims to investigate the level of self-efficacy amongst instructors regarding the various components of the TPACK model in their teaching within Saudi Arabia. TPACK represents a viable nexus between technology and educational content, creating successful educational technology integration. Existing research demonstrates a need to study…

Purpose: Despite substantial research on students' perceptions of collaborative writing, only a few studies have provided a deep understanding of their perceptions and attitudes toward computer-supported collaborative writing (CSCW). Previous studies have examined learners' perceptions and attitudes using questionnaires or interviews at a specific…

Technological advancements have led to the emergence of the Fourth Industrial Revolution (4IR). Students' readiness to use 4IR technologies is thus essential for the development of knowledgeable, competent, and skilled graduates. However, ensuring students' readiness to use 4IR technologies is quite challenging, leading to a need to understand the…

Mobile learning (M-learning) has become a crucial tool for both students and educators. The unified theory of acceptance and use of technology (UTAUT), the technology acceptance model (TAM), and outside factors were all included in this study's integrative review approach to examine the variables affecting university students' intention to use…

Background/Purpose: The integration of ChatGPT within higher education holds significant potential for enhancing learning through personalized, adaptive, and interactive educational experiences. This study's aims were to investigate how academic engagement with ChatGPT in higher education has evolved within the Gulf Cooperation Council (GCC)…

The aim of this survey study was to investigate the perceptions of ten English as a Foreign Language (EFL) faculty members at Northern Border University regarding the effectiveness of ChatGPT in supporting their students' English language learning. The study utilized in-depth interviews with the faculty members as the primary data collection…

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…

Adopting learning management systems (LMS) in higher education has become a major focus of interest to implement e-learning. Evaluating the quality of LMS is important to improve learner outcomes and promote teaching strategy. Many LMSs are emerging and thus assisting higher institutions to choose the adequate LMS becomes crucial especially under…

Mobile learning is a rapidly growing field in education that has gained increasing worldwide attention in recent years due to the widespread availability of mobile devices and their potential to enhance learning experiences. In Saudi Arabia, higher education institutions have explored the use of mobile learning to support teaching and learning,…

Purpose: Although several different learning technologies have been integrated into the face-to-face (F2F) learning approach, the effective implementation of mobile learning (m-learning) is still at an early stage. This may be due to the lack of understanding factors that affect learners' acceptance of m-learning. Design/methodology/approach:…

The integration of machine translation (MT) and artificial intelligence (AI) has significantly enhanced the precision of MT systems producing translations that rival the quality of skilled human translators. This innovation has broadened the applicability of AI-enabled MT systems attracting users for a variety of purposes. This paper explores the…

This study aims to explore the various factors influencing students in adopting e-learning in educational institutions in Saudi Arabia and analyze the relationship between factors of students' adoption of e-learning and student behavior intention. The study also analyzes perceived opportunities and challenges faced by students in adopting an…

Purpose: Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students' engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived…