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Ying Ma – Prospects, 2024
Equality discourse endeavors often aim to eliminate the various positionings of people in order for them to become equals. This paper aims to re-approach the notion of educational equality beyond neoliberal definitions and reconceptualize it in light of the Aristotelian "philia," with attention paid to its ethical dimensions and the…
Descriptors: Equal Education, Ethics, Educational Philosophy, Life Satisfaction
Abdullahi Yusuf; Nasrin Pervin; Marcos Román-González – International Journal of Educational Technology in Higher Education, 2024
In recent years, higher education (HE) globally has witnessed extensive adoption of technology, particularly in teaching and research. The emergence of generative Artificial Intelligence (GenAI) further accelerates this trend. However, the increasing sophistication of GenAI tools has raised concerns about their potential to automate teaching and…
Descriptors: Artificial Intelligence, Educational Trends, Futures (of Society), Higher Education
van Heerden, Martina; Bharuthram, Sharita – Assessment & Evaluation in Higher Education, 2021
Anonymity has been suggested as a way to mitigate the possible negative effects of interpersonal variables that may arise during the peer review process. However, since anonymity is not always possible, it is important to consider how the level of familiarity between peers may influence the peer review process. This study therefore explores the…
Descriptors: Feedback (Response), Familiarity, Peer Evaluation, Writing Evaluation
Chance, Shannon; Direito, Inês; Mitchell, John – European Journal of Engineering Education, 2022
The term 'global responsibility' projects a holistic sense of ethics, sustainability, and obligation. To achieve the long-term viability of human life on Earth, civil engineering must be conducted in increasingly responsible ways, and civil engineers must value and enact global responsibility in their work. Interviews conducted with nine civil…
Descriptors: Civil Engineering, Global Approach, Social Responsibility, Foreign Countries
Patrick T. S. Harris – ProQuest LLC, 2024
This quantitative study surveyed 162 higher education faculty nationwide to examine attitudes toward artificial intelligence integration across academic disciplines and backgrounds. Using validated survey instruments, the study measured AI familiarity, usage, adoption readiness, perceived benefits, and concerns. Statistical analysis revealed…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, College Faculty
Vishal Soodan; Avinash Rana; Anurag Jain; Deeksha Sharma – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This mixed-methods study aims to examine factors influencing academicians' intentions to continue using AI-based chatbots by integrating the Task-Technology Fit (TTF) model and social network characteristics. Background: AI-powered chatbots are gaining popularity across industries, including academia. However, empirical research on…
Descriptors: Artificial Intelligence, Social Networks, College Faculty, Computer Software
Lee, Victor R.; Drake, Joel; Cain, Ryan; Thayne, Jeffrey – Cognition and Instruction, 2021
Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…
Descriptors: Statistics Education, Familiarity, Self Concept, Prior Learning
Bassette, Laura; Jefferson, Ruth; Stuve, Matthew; Mangino, Anthony – Journal of the American Academy of Special Education Professionals, 2021
The incorporation of authentic experiences that include direct interactions with people with disabilities may facilitate increased understanding of people with disabilities; a topic of particular relevance to preservice teachers. This study used a survey to explore five dispositional constructs (i.e., comfort interacting with people with…
Descriptors: Individual Characteristics, Authentic Learning, Students with Disabilities, Student Needs