This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…

To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…

Artificial Intelligence (AI) integration in andragogical education offers significant enhancements to the learning experience for adult learners. By utilizing AI-powered platforms, instructors can provide personalized learning paths that adapt to the unique needs, interests, and goals of each individual. These systems can analyze performance data…

This research investigates how artificial intelligence (AI) influences higher education, specifically exploring the perspectives of academicians regarding associated risks and opportunities. The study is aimed at the implementation of AI within university settings and its impact on both educators and students. Given the swift integration of AI,…

This study investigated the impact of AI-driven brainstorming tools on process writing instruction and students' writing outcomes in the context of third-year Thai university students. A mixed-methods approach was employed to examine the effectiveness of AI-driven brainstorming tools, foreign English lecturers' preferences and comments towards…

This article aims to present a new educational model that integrates engineering learning with design thinking via a cloud ecosystem to enhance digital intelligence for undergraduate students. This approach utilizes user-centered problem-solving to foster innovation and collaborative learning. The educational environment can adapt to 21st-century…

Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…

Recent research on learning analytics dashboards has focused on designing user interfaces that offer various forms of "visualization guidance" (often referring to notions such as "data storytelling" or "narrative visualization") to teachers (e.g., emphasizing data points or trends with colour and adding annotations),…

Recent research shows that transnational families draw on digital media in their language learning. However, little systematic knowledge exists on the nature of these practices, the tools used, and the families' views regarding digital media use for language learning. This article addresses this knowledge gap, presenting the results of an online…

Learning a world language offers many benefits, including positive impacts on cognitive development, memory skills, and problem-solving abilities. However, enrollments in language programs, including French, are declining in American universities. Due to the high cost of college, students and parents may not see French as a lucrative field of…

This paper provides a comprehensive overview of the research on the application of artificial intelligence (AI) in primary education to explore its potential to enhance teaching and learning processes. Through a systematic review of the relevant literature, this study identifies key areas in which AI can significantly impact primary education and…

As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…

Based on the concept of "learner agency", this single case study examines the self-instructed language learning process of a language learner with ChatGPT since May 2024. To serve the purpose of the study, qualitative data were collected through a semi-structured interview, the participant's chat logs with the bot, and his learning…

Automated written corrective feedback (AWCF) tools play a crucial role in supporting English writing instruction. However, issues such as insufficient accuracy and hallucination have undermined users' trust in these systems. To address these challenges, this study investigates the potential of Generative Artificial Intelligence (GAI) enhanced by…

In the digital age, technology-assisted language learning (TALL) has emerged as a pivotal approach to enhancing English linguistic skills among college students. This study explores the effectiveness of TALL innovations in enhancing English linguistic skills among college students. Employing a mixed-methods approach, data were collected through…