The study aimed at investigating the effects of autonomous pronunciation learning using AI as well as the experiences of autonomous pronunciation learning using AI by higher level students. Explanatory sequential mixed-method research using both quantitative and qualitative methods was employed within thirty-two students from Universitas PGRI…

Children from low socioeconomic status (SES) backgrounds often have more negative self-views than their peers. How are these self-views shaped by teacher-student interactions in the classroom, and what are the consequences of these self-views for achievement inequality? We present a developmental framework addressing these questions by bridging…

The aim of this study is to determine the effect of digital tools and artificial intelligence applications on the achievement, motivation and retention of university students on the basis of project-based teaching approach in foreign language course. Pre-test post-test experimental design with control group was used as the method in the study. A…

This study aims to investigate the connection between the degree of visual impairment and educational task performance and management in the e-learning environment with an emphasis on writing and visual recognition disorders. The study was conducted in 2019 in Beijing city, Anhui province, Jiangsu province, Guizhou province, Zhejiang province…

Among teachers, there is a cloud of rumors, confusion, and fear surrounding the rise of artificial intelligence. "AI and the Future of Education" is a timely response to this general state of panic, showing you that AI is a tool to leverage, not a threat to teaching and learning. By understanding what AI is, what it does, and how it can…

The purpose of this research study is to design, develop, and validate an instrument for measuring undergraduate students' conceptions of artificial intelligence in education. Following systematic procedures, our team created a conceptual framework through an extant literature review and used it to create an initial item pool of 48-items across…

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…

Academic acceleration, which enhances challenges for academically gifted students, can be subject-based or whole-grade. Limited research has explored its application in the twice-exceptional population, where students possess notable cognitive strengths and challenges due to psychological diagnoses. Our clinical study investigates the likelihood…

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 comprehensive bibliometric analysis examines the dynamic impact and influence of artificial intelligence (AI) within the domain of English as a Foreign Language (EFL) from 2013 to 2023. By analysing 3,300 documents from the Web of Science database, the study reveals a positive trend in AI integration, with notable growth attributed to various…

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…

Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…