This Fieldnotes article documents the design and implementation of a Philosophy for Children (P4C) lesson aimed at introducing children aged 8-12 to the ethical dimensions of Artificial Intelligence (AI), with a particular focus on data privacy. Drawing on the Community of Philosophical Inquiry (CoPI) methodology--specifically the "Plain…

This study aims to examine the attitudes and readiness of Omani pre-service teachers toward implementing artificial intelligence (AI) in the classroom. The research employed the integrated technology acceptance model (TAM) to explore how these future educators perceive and prepare for AI integration. Using a mixed-methods approach that combined…

Many scholars have traditionally examined features linked to students' science performance by using classical statistical methods. However, there is a dearth of research on predicting student achievements by using machine learning (ML) models in science education. We aim to address this gap using the 2006 and 2015 Program for International Student…

This study used an instrumental approach (Drijvers et al., 2013) to investigate how artificial intelligence (AI) or large language models (LLMs), specifically ChatGPT 3.5, transitioned from an artifact into an instrument for four prospective secondary mathematics teachers through the development of schemes and techniques in using the AI to…

Background: This research explored the associations of interpersonal strengths such as kindness, modesty, teamwork, forgiveness, fairness, love, leadership, social intelligence, and humor, with positive emotions, life satisfaction, negative emotions, and flourishing in high school students in the Philippines, Malaysia, and Ghana. Methods: There…

Purpose: This study investigates how English as a Foreign Language (EFL) teachers from higher education develop and refine their curriculum design with Generative Artificial Intelligence (Gen-AI) collaboration during the Lesson Study (LS). Design/methodology/approach: Through a qualitative case study approach, we followed six English teachers in…

Purpose: This paper investigates the integration of generative AI into lesson study using the TEAM Model platform to enhance teacher professional development. It explores how AI supports the study, plan, teach and reflect phases by improving efficiency, fostering collaboration and enriching reflective practices. Design/methodology/approach: This…

This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship, intellectual…

In comparison to children and young students, adult learners usually exhibit more complex learning behaviors and psychological needs during the learning process. Designing social robots for adult learners has, thus, been a challenging task and a far less explored area, and it requires the great efforts from both technical and theoretical…

Text analytics in education has evolved to form a critical component of the future SMART campus architecture. Sentiment analysis and qualitative feedback from students is now a crucial application domain of text analytics relevant to institutions. The implementation of sentiment analysis helps understand learners' appreciation of lessons, which…

Mathematics education is like many scientific disciplines witnessing an increase in scientific output. Examining and reviewing every paper in an area in detail are time-consuming, making comprehensive reviews a challenging task. Unsupervised machine learning algorithms like topic models have become increasingly popular in recent years. Their…

Collaborative design approaches have been increasingly adopted in the design of learning technologies since they contribute to develop pedagogically inclusive and appropriate learning designs. Despite the positive reception of collaborative design strategies in technology-enhanced learning, little attention has been dedicated to analyzing the…

Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…

The article deals with the understanding of religious talent or religious excellence in the Early Modern Period. Three subtypes are identified as follows: (1) Political Heroism and the Sacred, (2) Countercultural Moral Excellence, (3) Extraordinary Emotions. It is further argued that these subtypes are to a great extent replaced with the idea of…

Student attrition represents one of the greatest challenges facing U.S. postsecondary institutions. Approximately 40 percent of students seeking a bachelor's degree do not graduate within 6 years; among nontraditional students, who make up half of the undergraduate population, dropout rates are even higher. In this study, we developed a machine…