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Leslie Valiant – Princeton University Press, 2024
We are at a crossroads in history. If we hope to share our planet successfully with one another and the AI systems we are creating, we must reflect on who we are, how we got here, and where we are heading. "The Importance of Being Educable" puts forward a provocative new exploration of the extraordinary facility of humans to absorb and…
Descriptors: Education, Cognitive Processes, Brain, Information Literacy
Khalifa Sylla; Mama Amar; Samuel Ouya – International Association for Development of the Information Society, 2024
The use of artificial intelligence (AI) has revolutionized the organization and management of data in particular educational content on digital university platforms. The combination of AI and metadata can facilitate the management and access to educational resources and allow personalized learning experiences tailored to learners' needs. Based on…
Descriptors: Artificial Intelligence, Metadata, Educational Resources, Educational Media
Yi Zheng; Steven Nydick; Sijia Huang; Susu Zhang – Educational Measurement: Issues and Practice, 2024
The recent surge of machine learning (ML) has impacted many disciplines, including educational and psychological measurement (hereafter shortened as "measurement"). The measurement literature has seen rapid growth in applications of ML to solve measurement problems. However, as we emphasize in this article, it is imperative to critically…
Descriptors: Artificial Intelligence, Measurement, Measurement Equipment, Psychological Evaluation
Nicholas Smith; Darby Vickers – Theory and Research in Education, 2024
Artificial intelligence technologies have become a ubiquitous part of human life. This prompts us to ask, "how should we live well with artificial intelligence?" Currently, the most prominent candidate answers to this question are principlist. According to these approaches, if you teach people some finite set of principles or convince…
Descriptors: Artificial Intelligence, Moral Values, Ethics, Philosophy
Alexander Skulmowski – Educational Psychology Review, 2024
Generative AIs have been embraced by learners wishing to offload (parts of) complex tasks. However, recent research suggests that AI users are at risk of failing to correctly monitor the extent of their own contribution when being assisted by an AI. This difficulty in keeping track of the division of labor has been shown to result in placebo and…
Descriptors: Artificial Intelligence, Cognitive Processes, Difficulty Level, Epistemology
James Edward Hill; Catherine Harris; Andrew Clegg – Research Synthesis Methods, 2024
Data extraction is a time-consuming and resource-intensive task in the systematic review process. Natural language processing (NLP) artificial intelligence (AI) techniques have the potential to automate data extraction saving time and resources, accelerating the review process, and enhancing the quality and reliability of extracted data. In this…
Descriptors: Artificial Intelligence, Search Engines, Data Collection, Natural Language Processing
Mary Kalantzis; Bill Cope – Reading Research Quarterly, 2025
The latest mutation of Artificial Intelligence, Generative AI, is more than anything a technology of writing. It is a machine that can write. In a world-historical frame, the significance of this cannot be understated. This is a technology in which the unnatural language of code tangles with the natural language of everyday life. Its form of…
Descriptors: Artificial Intelligence, Natural Language Processing, Literacy Education, Technology Uses in Education
Fabiano Fruett; Fernanda Pereira Barbosa; Samuel Cardoso Zampolli Fraga; Pedro Ivo Aragao Guimaraes – IEEE Transactions on Education, 2024
Open-source hardware and software platforms have played an important role in democratizing access to technology and education in computer science and engineering. Recent advancements in tools, such as KiCad, MicroPython, and Thonny, integrated development environment potentially accelerate low-budget educational applications, providing a smooth…
Descriptors: Open Source Technology, STEM Education, Art Education, Artificial Intelligence
Lucinda McKnight; Cara Shipp – English Teaching: Practice and Critique, 2024
Purpose: The purpose of this paper is to share findings from empirically driven conceptual research into the implications for English teachers of understanding generative AI as a "tool" for writing. Design/methodology/approach: The paper reports early findings from an Australian National Survey of English teachers and interrogates the…
Descriptors: Artificial Intelligence, Writing Strategies, English Instruction, Language Usage
Anaïs Resseguier; Fabienne Ufert – Research Ethics, 2024
As the artificial intelligence (AI) ethics field is currently working towards its operationalisation, ethics review as carried out by research ethics committees (RECs) constitutes a powerful, but so far underdeveloped, framework to make AI ethics effective in practice at the research level. This article contributes to the elaboration of research…
Descriptors: Foreign Countries, Artificial Intelligence, Federal Legislation, Ethics
Brayan Díaz; Cesar Delgado – Journal of Research in Science Teaching, 2024
Artificial intelligence (AI) technologies generate increasingly sophisticated non-human cognition; however, foundational learning theories only contemplate human cognition, and current research conceptualizes AI as a pedagogical tool. We argue that the incipient abilities of AI for "mutual engagement" with people could allow AI to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Constructivism (Learning), Educational Environment
Derek C. Briggs – Journal of Educational and Behavioral Statistics, 2024
I consider recent attempts to establish standards, principles, and goals for artificial intelligence (AI) through the lens of educational measurement. Distinctions are made between generative AI and AI-adjacent methods and applications of AI in formative versus summative assessment contexts. While expressing optimism about its possibilities, I…
Descriptors: Artificial Intelligence, Standard Setting, Standards, Measurement
Turgut Karakose – Educational Process: International Journal, 2024
Background/purpose: Developments in the world of Artificial Intelligence (AI) is full steam ahead in the wake of the fourth industrial revolution. One of the hot discussions over the exponential advancement of AI has been whether this ability of machines to accomplish tasks that require human intelligence could take over the roles of humans in the…
Descriptors: Artificial Intelligence, Principals, Administrator Role, School Administration
Richard Hall – International Journal of Educational Technology in Higher Education, 2024
This article situates the potential for intellectual work to be renewed through an enriched engagement with the relationship between indigenous protocols and artificial intelligence (AI). It situates this through a dialectical storytelling of the contradictions that emerge from the relationships between humans and capitalist technologies, played…
Descriptors: Artificial Intelligence, Social Systems, Protocol Analysis, Technological Advancement
Brandon Mattalo – Journal of Legal Studies Education, 2024
While it is important to research the negative impact of generative artificial intelligence on academic integrity, academics should focus most of their efforts on the opportunities these technologies present for improving pedagogical practices. In this note, I attempt to flip the narrative from one of fear to one of opportunity. I suggest that…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Technology Integration