How can one understand the spread of ideas across text data? This is a key measurement problem in sociological inquiry, from the study of how interest groups shape media discourse, to the spread of policy across institutions, to the diffusion of organizational structures and institution themselves. To study how ideas and narratives diffuse across…

Using AI as a research assistant promises to provide significant benefits to researchers in terms of time-saving, efficiency, and reduced workload. However, as is well known, AI generated content and outputs are unreliable. Hence human supervision and oversight of the outputs of AI are necessary to perform AI-assisted research ethically. This…

This invited review critically examines the Technological Pedagogical Content Knowledge (TPACK) framework and argues for the integration of Affective Knowledge (AK) as a foundational component in technologically mediated pedagogy. Drawing on recent scholarship in emotional and teacher education, the article identifies a persistent gap in how TPACK…

Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…

ETS scientists developed a human-centered AI (HAI) framework that combines data on how students interact with assessments--such as task navigation and time spent--with their performance, providing deeper insights into student performance in large-scale assessments.

University students are increasingly using generative artificial intelligence (AI) tools in creative tasks. Drawing from the literature on AI-human interaction and team creativity, the present study developed a moderated mediating model regarding the effects of generative AI on team creativity. To validate the developed model, a questionnaire…

The increasing demand for privacy-preserving, ethically aligned synthetic data generation in education has highlighted the limitations of existing tabular data generators. Traditional approaches often sacrifice fairness or privacy in pursuit of predictive accuracy, rendering them unsuitable for high-stakes academic settings. In this paper, we…

Artificial intelligence (AI) is transforming the creative arts by generating unique artistic works. This research explores the impact of catastrophic forgetting on AI systems and its implications for artistic creativity. Catastrophic forgetting happens when AI forgets previously learned knowledge due to new learning. This poses a challenge for…

This chapter responds to the recent crisis surrounding developments in large language models (LLMs) and generative AI with a relational view of education informed by the emerging world-centered approach to education and a synthesis of personalist character formation with feminist care ethics. It proposes that the instinct to manage student use of…

Artificial intelligence (AI) transforms the ethical and moral subjectivity of teachers, positioning them to navigate the complex convergence of technological advancement, intellectual autonomy, and teacher identity. The purpose of this paper is to offer a conceptual model for how teachers' identities are constituted through AI prompt engineering.…

The rapid advancements in generative artificial intelligence have opened new avenues for enhancing various aspects of research, including the design and evaluation of survey questionnaires. However, the recent pioneering applications have not considered questionnaire pretesting. This article explores the use of GPT models as a useful tool for…

Educational materials advocating whole-body donation must be accurate, easy to read, and transparent, as one potential solution to the fact that the supply of donations is not keeping pace with educational demand, thereby disrupting anatomy education programs. The use of AI technologies to supplement communications with prospective donors and next…

This paper demonstrates how the innovative application of a Collective Intelligence approach enhanced Local Skills Improvement Planning information for employers, education and skills training organisations and regional economic policy organisations. This took place within a Knowledge Transfer Partnership between a Chamber of Commerce and a…

The current study examined whether social competence and autistic traits are related to anxiety and depression in autistic and non-autistic children. Parents of 340 children aged 6 to 12 years old, including 186 autistic and 154 non-autistic children completed the Autism Spectrum Quotient (AQ) to assess their child's autistic traits, the…

Technological progress has a significant impact on higher education and increases the popularity of artificial intelligence technologies in universities of different countries. This research was based at Tianshui Normal University in China. The authors examined the impact of an interactive learning environment based on artificial intelligence in…