Recent years have seen increased interests in applying the latest technological innovations, including artificial intelligence (AI) and machine learning (ML), to the field of education. One of the main areas of interest to researchers is the use of ML to assist teachers in assessing students' work on the one hand and to promote effective…

The aim of this study is to identify the ethical challenges, solutions and needs of educational technology (EdTech) companies. Qualitative data was collected in interviews with seven experts from four companies, and the data was analysed using inductive content analysis. The four main areas of challenges were ambiguous regulations, inequalities in…

Cheating is a growing academic and ethical concern in higher education. The technological "arms race" that involves cheating-detection system developers versus technology-savvy students is attracting increased attention to cheating issues; it is also generating iterations of technological innovations as corporations, higher educational…

Automatic Item Generation (AIG) is an extremely useful tool to construct many high-quality exam items more efficiently than traditional item writing methods. A large pool of items, however, presents challenges like identifying a particular item to meet a specific need. For example, when making a fixed form exam, best practices forbid item stems…

This paper presents a meta-analysis of the links between intelligence test scores and creative achievement. A three-level meta-analysis of 117 correlation coefficients from 30 studies found a correlation of r = 0.16 (95% CI: 0.12, 0.19), closely mirroring previous meta-analytic findings. The estimated effects were stronger for overall creative…

Medical errors have a huge impact on clinical practice in terms of economic and human costs. As a result, technology-based solutions, such as those grounded in artificial intelligence (AI) or collective intelligence (CI), have attracted increasing interest as a means of reducing error rates and their impacts. Previous studies have shown that a…

Many individuals with autism experience challenges using language in social contexts (i.e., pragmatic language). Characterizing and understanding pragmatic variability is important to inform intervention strategies and the etiology of communication challenges in autism; however, current manual coding-based methods are often time and labor…

Imagine not only helping kids reach their potential academically, but as citizens in society as well. In this updated edition of Jorge Valenzuela's book, you will learn how! Take project-based learning (PBL)--in which students develop educational skills like research, critical thinking, and teamwork--to the next level by enhancing it with personal…

This study investigates how YouTube videos are advising university students to use ChatGPT, focusing on two main aspects: bypassing detection tools for AI-generated text in written assignments and leveraging ChatGPT as a study tool, using thematic analysis of transcripts from 173 YouTube videos. Videos promoting the bypass of AI-generated text…

As artificial intelligence (AI) becomes increasingly integrated into higher education, particularly in creative disciplines, the role of AI turns into a co-creative partner. This study investigates the impact of AI-relevant training on media and communication students in Taiwan, focusing on the development of AI literacy, self-efficacy,…

Research has shown that infants are curious and actively seek situations from which they can learn. For instance, a recent eye-tracking study demonstrates that babies tend to allocate their attention to stimuli that offer opportunities for learning new information. Interestingly, however, the degree to which attention is guided by information gain…

This paper presents a policy framework to position New Jersey as a national leader in artificial intelligence (AI) education and workforce development. Through analysis of current state initiatives--including the NJ AI Hub, AI Task Force reports, apprenticeship programs, and regulatory guidance--we identify gaps and opportunities across K-12,…

This study investigates the potential of using ChatGPT as a teachable agent to support students' learning through teaching, specifically in programming education. While learning by teaching (LBT) is an effective pedagogical strategy, traditional teachable agents often struggle with facilitating dynamic, dialogue-based interactions. Our research…

With the advent of large language models (LLMs) as feedback providers in education, there is a pressing need to investigate the potential effectiveness of the feedback provided by such artificial intelligence (AI) systems. The purpose of this 2 × 2 mixed-design study was thus to investigate biases that students may have in their perceptions of…

The purpose of this research is to investigate the relationship between university instructors' perceptions of service quality, preference for student connectedness, feelings of technostress and their continuance intentions to use smart classrooms. Informed by SERVQUAL and information systems continuance models, the research applies partial least…