This study aimed to explore how AI-based educational platforms can support personalized mathematics learning. The three prominent AI-based educational platforms for mathematics were analyzed using a framework based on four dimensions: source, target, time, and adaptation method. Specifically, this study focused on providing illustrative examples…

Purpose: The purpose of this systematic literature review is to identify the antecedents that have enabled the adoption of artificial intelligence (AI) in Higher Education (HE) institutions at both a macro and micro level. The term adoption is in reference to the diffusion of technology that is actively chosen for use by the targeted demographic.…

This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…

Purpose: The purpose is to stimulate imagination of artificial intelligence (AI) and education beyond current schooling. Design/Approach/Methods: The approach this article took is a broad review of literature on learning, teaching, schooling, and technological development and evidence-based reasoning about the possible future of education in the…

The exponential growth of online learning has catalyzed significant pedagogical innovations and transformed the educational landscape. This paper explores the emerging trends in online learning, including the shift towards blended learning, the rise of personalized learning, and the integration of technology-enhanced pedagogical practices. The…

This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…

Students classroom behaviours are complex and variable, involving multiple aspects such as students personality traits, learning attitudes, thinking styles and learning abilities, but traditional classroom behavioural assessment cannot comprehensively and reasonably assess students classroom learning status. The study adopts the improved Yolov5…

This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…

Educator preparation, personalized learning (PL) implementation, and applications of Generative AI converge as three interrelated systems that, when carefully designed, can help achieve the long-sought goal of providing inclusive education for all learners. However, realizing this potential comes with challenges resulting from theoretical…

Introduction: The integration of artificial intelligence (AI) into higher education ushers in a new era of teaching and learning possibilities for both educators and students. Statement of the Problem: These technologies not only offer unparalleled opportunities for personalized learning and instructional support, but also introduce challenges…

Profound understanding of implicature is a vital precondition for successful communication, which allows recipients to appreciate the tone, relevance, and acceptability of the original idea in both intralingual and interlingual setting. This assumption accentuates the necessity to address the concept of implicature in sustainable interdisciplinary…

Purpose: This paper aims to present a comprehensive overview of the patterns and trends of publications on artificial intelligence (AI) in personalised learning. It addresses the need to investigate the intellectual structure and development of this area in view of the growing amount of related research and practices. Design/methodology/approach:…

Modern e-learning system is a representative service form in innovative service industry. This paper designs a personalized service domain system, optimizes various parameters and can be applied to different education quality evaluation, and proposes a decision tree recommendation algorithm. Information gain is carried out through many existing…

In the era of accelerating globalization, the necessity for multilingual education is increasingly prominent. This study investigates the effectiveness of the AI-based chatbot ChatGPT in multilingual teaching applications. This study employs a quasi-experimental research methodology to examine the experiences of 100 international students at a…

The emergence of generative artificial intelligence (GenAI) has reignited long-standing debates about technology's role in education. While GenAI potentially offers personalized learning, adaptive tutoring, and automated support, it also raises concerns about algorithmic bias, de-skilling educators, and diminishing human connection. This…