Recently, the rise of generative AI tools such as "ChatGPT" have prompted deep and wide considerations about teaching and learning, student success, research and development, and the use of data for informed institutional decision making. In this volume, authors discuss specific concepts, considerations for use, and some specific tools…

This primer systematizes the emerging literature on causal inference using deep neural networks under the potential outcomes framework. It provides an intuitive introduction to building and optimizing custom deep learning models and shows how to adapt them to estimate/predict heterogeneous treatment effects. It also discusses ongoing work to…

The neurocognitive mechanisms underlying prevalent learning disorders, such as dyslexia, dyscalculia, and their comorbidity, remain unclear and are the subject of ongoing debate. The core-deficit hypothesis has long been the dominant theory explaining these mechanisms across various learning disorders. However, this hypothesis faces criticism for…

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.

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…

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…

This theoretical work presents a conceptual framework for integrating artificial intelligence (AI) tutoring within gifted education programming. Drawing upon established gifted education frameworks, student-centered learning practices, and recent advances in AI technology, the proposed framework leverages AI capabilities across four key…

This conceptual article explores shared epistemic agency between humans and generative artificial intelligence (GenAI), emphasizing the need to foster active human epistemic agency through adaptive epistemic stances. We propose a framework incorporating epistemic stances in interactions with GenAI, drawing on Tsai's (2004) work to explore the…

If psychometrics has long concerned itself with validity, reliability, and fairness, then what could psychometrics learn from the cybernetic theories of AI? Through engagement with Burstein's (2023) Responsible AI Standards, this paper unpacks some paradigmatic differences between psychometrics and cybernetics, points to how recursivity and…

Appreciative inquiry has become increasingly popular as a method for facilitating organisational or systemic change through focusing on the positive aspects and 'life giving properties of a system' as opposed to traditional 'deficit-based' approaches. However, there has been criticism that this process could invalidate negative experiences of…

This article examines the historical and contemporary mobilizations of 'Luddism' as a mode of resistance to technological inevitability, particularly in response to the integration of generative AI into education. Tracing three historical 'waves' of Luddism -- the original nineteenth century machine-breakers, the Neo-Luddites of the late twentieth…

Recent years have seen growing interest in the potential contributions of Artificial Intelligence (AI)-based technologies to children's health education. Specifically, ChatGPT, a language processing model developed by OpenAI, represents a significant advancement in this field. By presenting child health-related information in an understandable and…

As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…

Journals and publishers are increasingly using artificial intelligence (AI) to screen submissions for potential misconduct, including plagiarism and data or image manipulation. While using AI can enhance the integrity of published manuscripts, it can also increase the risk of false/unsubstantiated allegations. Ambiguities related to journals' and…

Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal.