Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

Artificial intelligence (AI) is revolutionizing and transforming industries around the globe. Through the exploration of various AI applications in teaching, research, and administrative tasks, this article illuminates both the potential and limitations of AI for enhancing faculty productivity while improving their effectiveness and innovation in…

A core component of teaching media literacy involves students analyzing and reflecting on how they use media in their daily lives. In this hands-on activity, college students play social media privacy bingo. Each square represents a different type of private information that they might choose to share on social media. The instructor calls out…

This chapter investigates the dual role of Generative AI (GenAI) in providing support and feedback to students and in reshaping formative and summative educational assessments, addressing both the burgeoning opportunities for enhancing teaching methodologies and the associated ethical challenges. There is a focus on the necessity for balanced…

This study focuses on how two school districts managed and changed the "instructional core"--student learning goals, instructional resources and strategies, and assessments--in their required high school biology course as they responded to new state science standards based on the "Next Generation Science Standards" (NGSS).…

This study explores generative mechanisms of curriculum design from a human-centred perspective, with a focus on the integration of Artificial Intelligence (AI) into engineering education. As curricula evolve to meet the demands of a technologically advanced and globally connected society, it is crucial to preserve the educational values rooted in…

This article provides a critical thematic literature review that explores the intersection of generative artificial intelligence (GenAI) and social-emotional learning (SEL), analyzing its implications for teacher education. GenAI offers promising applications for enhancing SEL competencies such as self-awareness, empathy, and social skills through…

The impact of artificial intelligence (AI) in the educational field highlights its growing significance in transforming teaching and learning processes. AI has garnered attention in education, raising the need to investigate its intersection with current educational methods. The study aims to conduct a systematic literature review to understand…

Artificial Intelligence (AI) has rapidly become a pivotal force in education, offering personalized learning pathways and dynamic solutions to longstanding instructional challenges. In English as a Foreign Language (EFL) contexts, idiomatic competence remains a challenging aspect of language development, often eluding effective coverage through…

This document provides guiding principles and practical examples for using AI in teaching and learning. Underpinned by a human-centred approach, the PATH principles serve as key guidance to ensure the ethical and effective integration of AI systems into teaching and learning. The PATH principles are: Promote teaching and learning; Advance…

The evolution of artificial intelligence (AI) and robotics in education has transitioned from automation toward emotionally responsive learning systems through artificial emotional intelligence (AEI). While AI-driven robotics has enhanced instructional automation, AEI introduces an affective dimension by recognizing and responding to human…

Researchers have significantly explored language learners' attitudes toward ChatGPT through the lens of technology acceptance models, particularly with its development and integration into computer-assisted language learning (CALL). However, further research in this area is necessary to apply a theoretical framework with a pedagogical-oriented…

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…