Buchumschlag

AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Zheng, Tian
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Computers and Society Artificial Intelligence 68T01 K.3.2; I.2
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Generative AI Usage of University Students: Navigating Between Education and Business
von: Walke, Fabian, et al.
Veröffentlicht: (2026)

Navigational Thinking as an Emerging Paradigm of Computer Science in the Age of Generative AI
von: Levin, Ilya
Veröffentlicht: (2026)

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use
von: Elkhodr, Mahmoud, et al.
Veröffentlicht: (2025)

AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review
von: Gu, Xingjian, et al.
Veröffentlicht: (2025)

AI Governance in Higher Education: A course design exploring regulatory, ethical and practical considerations
von: Weuts, Raphaël, et al.
Veröffentlicht: (2025)

AI-PACE: A Framework for Integrating AI into Medical Education
von: McGrath, Scott P., et al.
Veröffentlicht: (2026)

CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity Education
von: Wang, Tianyu, et al.
Veröffentlicht: (2025)

Bridging the Gap Between Theoretical and Practical Reinforcement Learning in Undergraduate Education
von: Atif, Muhammad Ahmed, et al.
Veröffentlicht: (2025)

Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems
von: Olukola, Oluseyi, et al.
Veröffentlicht: (2026)

Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI)
von: Suffian, Muhammad, et al.
Veröffentlicht: (2022)

Taxonomy to Regulation: A (Geo)Political Taxonomy for AI Risks and Regulatory Measures in the EU AI Act
von: Arda, Sinan
Veröffentlicht: (2024)

Enhancing Programming Pair Workshops: The Case of Teacher Pre-Prompting
von: Petersson, Johan
Veröffentlicht: (2025)

The Vibe-Automation of Automation: A Proactive Education Framework for Computer Science in the Age of Generative AI
von: Levin, Ilya
Veröffentlicht: (2026)

Evaluating LLMs for Career Guidance: Comparative Analysis of Computing Competency Recommendations Across Ten African Countries
von: Eze, Precious, et al.
Veröffentlicht: (2025)

Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programming
von: Alkafaween, Umar, et al.
Veröffentlicht: (2024)

AI for non-programmers: Applied AI in the lectures for students without programming skills
von: Schöning, Julius, et al.
Veröffentlicht: (2024)

Understanding the Nature of Generative AI as Threshold Logic in High-Dimensional Space
von: Levin, Ilya
Veröffentlicht: (2026)

Integrating Universal Generative AI Platforms in Educational Labs to Foster Critical Thinking and Digital Literacy
von: Znamenskiy, Vasiliy, et al.
Veröffentlicht: (2025)

A Survey on Group Fairness in Federated Learning: Challenges, Taxonomy of Solutions and Directions for Future Research
von: Salazar, Teresa, et al.
Veröffentlicht: (2024)

Synthetic emotions and consciousness: exploring architectural boundaries
von: Borotschnig, Hermann
Veröffentlicht: (2025)

Cyber Humanism in Education: Reclaiming Agency through AI and Learning Sciences
von: Adorni, Giovanni
Veröffentlicht: (2025)

Computable Gap Assessment of Artificial Intelligence Governance in Children's Centres: Evidence-Mechanism-Governance-Indicator Modelling of UNICEF's Guidance on AI and Children 3.0 Based on the Graph-GAP Framework
von: Meng, Wei
Veröffentlicht: (2025)

Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
von: Wang, Tianyu, et al.
Veröffentlicht: (2024)

Stimulating Higher Order Thinking in Mechatronics by Comparing PID and Fuzzy Control
von: Lowrance, Christopher J., et al.
Veröffentlicht: (2026)

Quantization Range Estimation for Convolutional Neural Networks
von: Yang, Bingtao, et al.
Veröffentlicht: (2025)

Resolving Ethics Trade-offs in Implementing Responsible AI
von: Sanderson, Conrad, et al.
Veröffentlicht: (2024)

AI Ethics Principles in Practice: Perspectives of Designers and Developers
von: Sanderson, Conrad, et al.
Veröffentlicht: (2021)

Adapting University Policies for Generative AI: Opportunities, Challenges, and Policy Solutions in Higher Education
von: Beale, Russell
Veröffentlicht: (2025)

Ethical AI Governance: Methods for Evaluating Trustworthy AI
von: McCormack, Louise, et al.
Veröffentlicht: (2024)

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
von: Khan, Koffka
Veröffentlicht: (2025)

Auto-assessment of assessment: A conceptual framework towards fulfilling the policy gaps in academic assessment practices
von: Khan, Wasiq, et al.
Veröffentlicht: (2024)

MC-CPO: Mastery-Conditioned Constrained Policy Optimization
von: Olukola, Oluseyi, et al.
Veröffentlicht: (2026)

Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects
von: Sanderson, Conrad, et al.
Veröffentlicht: (2023)

The Evolving Usage of GenAI by Computing Students
von: Hou, Irene, et al.
Veröffentlicht: (2024)

Students' Reliance on AI in Higher Education: Identifying Contributing Factors
von: Pitts, Griffin, et al.
Veröffentlicht: (2025)

How Do Programming Students Use Generative AI?
von: Rahe, Christian, et al.
Veröffentlicht: (2025)

AI Literacy and LLM Engagement in Higher Education: A Cross-National Quantitative Study
von: Hossain, Shahin, et al.
Veröffentlicht: (2025)

Toward Self-Driving Universities: Can Universities Drive Themselves with Agentic AI?
von: Koubaa, Anis
Veröffentlicht: (2026)

Instilling Organisational Values in Firefighters through Simulation-Based Training
von: Osman, Nardine, et al.
Veröffentlicht: (2025)

Seeing the Forest and the Trees: Solving Visual Graph and Tree Based Data Structure Problems using Large Multimodal Models
von: Gutierrez, Sebastian, et al.
Veröffentlicht: (2024)