To address the emerging trend of language learning with Artificial Intelligence (AI), this study explored junior and senior high school students' behavioral intentions to use AI in second language (L2) learning, and the roles of related technological, social, and motivational factors. An eight-factor survey was constructed using a 5-point Likert…

Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on…

This systematic literature review examines the impact of generative artificial intelligence (AI) applications on student learning outcomes in middle school science education. Twelve studies that met the inclusion and exclusion criteria were included in the study. The studies were accessed from the WOS, SCOPUS, ERIC, and TrDizin indexes and…

This study conducts a comprehensive analysis of the assessment of journal writing in English as a Foreign Language (EFL) at the secondary school level, comparing the performance of a Generative Artificial Intelligence (GenAI) platform with two human graders. Employing a convergent parallel mixed methods design, quantitative data were collected…

This article addresses the need to better understand interactional asymmetries, challenges, and solutions in implementing synchronous hybrid language teaching. We investigate video-recorded peer interactions in a higher education language teaching context in which a student uses a telepresence robot, a remotely moveable videoconferencing tool, to…

Online communities of practice (online CoP) have emerged as a viable method for teacher professional development regarding the emphasis on teacher networks for effective professional development and the elimination of some restrictions with online learning. Moreover, most technology integration studies examine teacher-centered technology…

This study explores the transformative potential of artificial intelligence (AI) in education, focusing on its integration into teaching practices in Qatar. Surveys and interviews with educators revealed that AI tools significantly reduce teacher workloads, enhance lesson quality, and increase student engagement. Teachers reported spending less…

There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…

Writing is often considered the most difficult language skill for EFL learners due to its persistent grammatical and lexical challenges. Although tools such as Google Translate and ChatGPT are increasingly used, concerns persist regarding overreliance and reduced learner autonomy. This study investigated the grammatical errors and writing…

Artificial intelligence (AI) rapidly transforms education, offering adaptive and personalized learning experiences. In English as a Foreign Language (EFL) education, AI-powered tools such as chatbots, writing assistants, and translation software reshape teaching and learning. This study explores how 67 prospective EFL teachers envision the future…

This volume comprises of the proceedings of The Twelfth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM). It reflects outstanding advances, with a multidisciplinary perspective, in the technological ecosystems that support Knowledge Society building and development. This book covers broad-scope research…

This paper presents an action learning project demonstrating how a structured professional learning (PL) programme transformed the capabilities of sessional academic staff, enabling them to transition into unit coordinator (UC) roles. By equipping these staff with the leadership skills necessary to manage digital learning environments effectively,…

This scoping review examines the integration of artificial intelligence (AI) tools into scientific education practices in school settings. Following the PRISMA statement guidelines, a literature search was conducted in the Web of Science and Scopus databases, identifying 2892 articles published between 2020 and 2024. After applying the eligibility…

In response to the persistent challenges students face in mastering complex scientific concepts, innovative instructional approaches are needed to improve learning outcomes and engagement. Thus, this study presents the newly designed 6Ps-based instructional model aimed at enhancing organic chemistry education through a multimedia-supported flipped…

Generative artificial intelligence (AI) can create sophisticated textual and multimodal content readily available to students. Writing intensive courses and disciplines that use writing as a major form of assessment are significantly impacted by advancements in generative AI, as the technology has the potential to revolutionize how students write…