Deep learning-based course recommendation systems often suffer from a lack of interpretability, limiting their practical utility for students and academic advisors. To address this challenge, we propose a modular, post-hoc explanation framework leveraging Large Language Models (LLMs) to enhance the transparency of deep learning-driven…

Mastery learning -- requiring students to achieve proficiency in a topic before advancing -- is a well-established and effective teaching method. Digital learning systems support this approach by personalizing content sequences, enabling students to focus on practicing topics they have not yet mastered. To achieve this, digital learning systems…

Amidst discussions about the use of Generative AI (GenAI) for academic research, their potential for doctoral research or literature reviews is an area beginning to be explored. This qualitative study explores doctoral students' perceptions of the value of GenAI tools in the literature review process. The analysis of 26 participants' reflections…

The study highlights ChatGPT-4's potential in educational settings for the evaluation of university students' open-ended written examination responses. ChatGPT-4 evaluated 54 written responses, ranging from 24 to 256 words in English. It assessed each response using five criteria and assigned a grade on a six-point scale from fail to excellent,…

The advent of Generative AI (GAI) tools such as ChatGPT, Google Gemini, and Microsoft Copilot has significantly impacted higher education. This exploratory study investigates the current perspectives of lecturers in Human Resource Management (HRM) and Psychology on adapting assessment strategies in response to GAI developments. Through an online…

This study aims to explore the criteria and success factors for the application of Artificial Intelligence Generated Content (AIGC) in higher education, and guide its practice through the construction of a comprehensive system and framework. This study first identifies seven primary criteria, encompassing technical robustness, integration with…

The latest advancements in AI are reshaping the way we learn foreign languages through listening comprehension. However, the empirical studies on how artificial intelligence in English listening teaching can effectively improve EFL learners' listening proficiency are still limited. To address this gap, this study aims to investigate the role of…

In contemporary higher education, the master's level plays a critical role in developing high-level professionals, particularly among Generation-Z students. This stage is marked by significant psychological, social, and professional development, requiring innovative educational strategies that align with the unique traits of this digital-native…

Reading provides college students with vital assistance in their efforts to expand their knowledge base. Artificial intelligence (AI)-assisted reading tools have been developed with the aim of improving students' reading efficiency and reading experience. However, the acceptance of such tools and relevant influencing factors remain unknown. This…

The rapid pace of digital transformation and innovation has significantly driven the growth of generative Artificial Intelligence (AI). Over the past two years, AI has taken a prominent role due to its effectiveness and productivity thereby infiltrating all sectors, including the education sector. Despite growing interest in AI in education, most…

Rapid changes in the field of technology have greatly affected learning and teaching styles as in every field. Artificial intelligence (AI), which is increasingly used in the field of education for different purposes such as improving learning outcomes or solving teaching problems, is one of the important technologies that contribute to this…

Incorporating technologies with Generative Artificial Intelligence (GenAI) into education requires a shift in teaching methodologies. However, little is known about how pre-service teachers perceive the relevance and challenges of this incorporation, particularly in mathematics education. This study investigates pre-service teachers' interactions…

This study conducts a systematic review of artificial intelligence in English as a Foreign Language teaching and learning in China from 2015 to 2024 based on 56 articles selected from Scopus, ScienceDirect, ERIC, and CNKI databases, highlighting emerging trends, unresolved gaps, and possible avenues for future research. The findings reveal that AI…

This case study investigated the development of AI literacy among novice educational researchers through an AI literacy course. AI literacy requires a high level of competence involving the ability to understand AI, use it effectively for specific tasks, evaluate and create AI, and exhibit ethical behavior in its use. The AI literacy course was…

This study aims to delve into the process and perceptions of pre-service teachers as they engage in generating multiple-choice questions with the assistance of generative AI tools. Adopting a single-case study design, the research involved the participation of 35 pre-service teachers. The participants were tasked with utilizing generative AI tools…