NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 7 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Gamze Türkmen – Journal of Educational Computing Research, 2025
Explainable Artificial Intelligence (XAI) refers to systems that make AI models more transparent, helping users understand how outputs are generated. XAI algorithms are considered valuable in educational research, supporting outcomes like student success, trust, and motivation. Their potential to enhance transparency and reliability in online…
Descriptors: Artificial Intelligence, Natural Language Processing, Trust (Psychology), Electronic Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Raymond A. Opoku; Bo Pei; Wanli Xing – Journal of Learning Analytics, 2025
While high-accuracy machine learning (ML) models for predicting student learning performance have been widely explored, their deployment in real educational settings can lead to unintended harm if the predictions are biased. This study systematically examines the trade-offs between prediction accuracy and fairness in ML models trained on the…
Descriptors: Prediction, Accuracy, Electronic Learning, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Nicolas J. Tanchuk; Rebecca M. Taylor – Educational Theory, 2025
AI tutors are promised to expand access to personalized learning, improving student achievement and addressing disparities in resources available to students across socioeconomic contexts. The rapid development and introduction of AI tutors raises fundamental questions of epistemic trust in education. What criteria should guide students' critical…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Tutors
Peer reviewed Peer reviewed
Direct linkDirect link
Lewis, Armanda; Stoyanovich, Julia – International Journal of Artificial Intelligence in Education, 2022
Although an increasing number of ethical data science and AI courses is available, with many focusing specifically on technology and computer ethics, pedagogical approaches employed in these courses rely exclusively on texts rather than on algorithmic development or data analysis. In this paper we recount a recent experience in developing and…
Descriptors: Statistics Education, Ethics, Artificial Intelligence, Compliance (Legal)
Peer reviewed Peer reviewed
Direct linkDirect link
Venkatesan, Priya – Bulletin of Science, Technology & Society, 2010
The subject of this essay is NBIC convergence (nanotechnology, biotechnology, information technology and cognitive science convergence). NBIC convergence is a recurring trope that is dominated by the paradigm of integration of the sciences. It is largely influenced by the considerations of social and economic impact, and it assumes positivism in…
Descriptors: Figurative Language, Economic Impact, Artificial Intelligence, Biotechnology
Peer reviewed Peer reviewed
Direct linkDirect link
Snowden, David – Learning Organization, 2005
Purpose: The purpose of this article is to focus on the role of networks in organizations as a critical aspect of knowledge management and learning processes. Design/methodology/approach: The article has built on an established technique, namely SNA, by shifting from individuals to identities and then to abstractions. Findings: By making the…
Descriptors: Knowledge Management, Social Systems, Learning Processes, Accountability
Peer reviewed Peer reviewed
Direct linkDirect link
Obiakor, Festus E.; Ford, Bridgie A. – Multiple Voices for Ethnically Diverse Exceptional Learners, 2002
Reform and accountability are imperative for programmatic changes in general and special education. Understandably, any form of reform matters to students, parents, and other educational stakeholders. However, the question is not whether special education is a necessity; the questions continue to be, How "special" is special education for African…
Descriptors: African Americans, Educational Change, Special Education Teachers, Accountability