The purpose of this study is to understand the current situation where practising New Zealand primary educators have utilised ChatGPT. More explicitly, the research considered how educators perceived the beneficial affordances and used them to support their classroom practice. Concurrently, negative implications of use are noted and an attempt to…

This multiple case analysis examines how AI ethics education's unique characteristics transform traditional e-learning approaches in synchronous and asynchronous environments. Through analysis of two contrasting cases -- Loyola Marymount University's synchronous workshops and Usher and Barak's asynchronous module -- the study investigates how…

This article explores the efficacy of AI used for teaching and learning tools. First, it examines three critical aspects of AI use in teaching and learning: AI complexity, algorithmic transparency, and AI bias. Second, it reviews recent literature that investigates the benefits and challenges of implementing AI within college classrooms. It…

This book delineates a comprehensive framework designed to ultimately assist organizations as they navigate the critical juncture--often termed the inflection point--in adopting generative Artificial Intelligence (AI). Addressing the exigent shift in organizational strategy mandated by Industry 4.0, and urging a transition from mere digital…

In the realm of collaborative learning, extracting the beliefs shared within a group is paramount, especially when navigating complex tasks. Inherent in this problem is the fact that in naturalistic collaborative discourse, the same propositions may be expressed in radically different ways. This difficulty is exacerbated when speech overlaps and…

Solving math word problems (MWPs) involves uncovering logical relationships among quantities in natural language descriptions of math problems. Recent studies have demonstrated that the contrastive learning framework can assist models in identifying semantically similar examples while distinguishing between different mathematical logics. This…

The e-book system, widely used in learning and teaching, has generated a large amount of log data over time. Researchers analyzing these data have discovered the existence of student's jump back behavior, which is positively correlated with academic achievement. However, they also found that this behavior has the disadvantage of low efficiency. To…

Reducing learning time or training time in intelligent tutors is a challenging research problem. In this study, we aim to reduce training time while maintaining student performance in intelligent tutors. We propose a Deep Reinforcement Learning (DRL) based method to determine when students need more training and when they don't. We design an…

As AI becomes increasingly integrated into the higher education sector, academics are grappling with an identity crisis. "Academic Identity in the Age of AI" explores the impact of AI on the role of the academic, examines ethical considerations, and envisions the future of higher education academics in the AI era. Delving into the…

A personalized system of instruction is one of the strategies to personalize instruction. It is a technique that allows the student to move from one unit to another according to his own pace and his potential. Although this system is distinguished with activity and effectiveness to master the instructional subject, it lacks evaluation of the essay…

Based on hundreds of thousands of hours of data about how students learn in massive open online courses, educational machine learning promises to help students who are learning to code. However, in most classrooms, students and assignments do not have enough historical data for feeding these data hungry algorithms. Previous work on predicting…

Theory of Mind (ToM) is the ability understand that other people's mental states may be different from one's own. Psychometric models have shown that individual differences in ToM can largely be attributed to general intelligence ("g") (Coyle et al. 2018). Most psychometric models specify "g" as a reflective latent variable,…

The "Raven's 2 Progressive Matrices Clinical Edition" (Raven's 2; Raven, Rust, Chan, & Zhou, 2018), published by NCS Pearson, is an individually administered nonverbal assessment of general cognitive ability developed to measure "educative abilities," defined as the ability to think clearly and solve complex problems in…

In response to the call for promoting three-dimensional science learning (NRC, 2012), researchers argue for developing assessment items that go beyond rote memorization tasks to ones that require deeper understanding and the use of reasoning that can improve science literacy. Such assessment items are usually performance-based constructed…

Worldview is often neglected as a dimension of holistic student learning and development in college, yet certain higher education practitioners are deeply committed to supporting students with diverse religious, spiritual, and secular identities. This article explores common characteristics among these "interfaith champions" and how…