Cover Image

AI for non-programmers: Applied AI in the lectures for students without programming skills

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Schöning, Julius, Wawer, Tim, Griese, Kai-Michael
Format:	Preprint
Published:	2024
Subjects:	Computers and Society Artificial Intelligence Machine Learning K.3.2; I.2.0
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

ASE-26: a curriculum for agentic software engineering as a discipline
by: Gorsky, Mikael
Published: (2026)

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

Can We Trust AI Agents? A Case Study of an LLM-Based Multi-Agent System for Ethical AI
by: de Cerqueira, José Antonio Siqueira, et al.
Published: (2024)

An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions
by: Feng, Tony Haoran, et al.
Published: (2024)

Data Feminism for AI
by: Klein, Lauren, et al.
Published: (2024)

Towards Friendly AI: A Comprehensive Review and New Perspectives on Human-AI Alignment
by: Sun, Qiyang, et al.
Published: (2024)

Balancing Innovation and Integrity: AI Integration in Liberal Arts College Administration
by: Read, Ian Olivo
Published: (2025)

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

Provocations from the Humanities for Generative AI Research
by: Klein, Lauren, et al.
Published: (2025)

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

The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates
by: Burnat, Florian A. D., et al.
Published: (2025)

What's my role? Modelling responsibility for AI-based safety-critical systems
by: Ryan, Philippa, et al.
Published: (2023)

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

Development of Hybrid Artificial Intelligence Training on Real and Synthetic Data: Benchmark on Two Mixed Training Strategies
by: Wachter, Paul, et al.
Published: (2025)

What Does 'Human-Centred AI' Mean?
by: Guest, Olivia
Published: (2025)

AI Education in Higher Education: A Taxonomy for Curriculum Reform and the Mission of Knowledge
by: Zheng, Tian
Published: (2025)

How to Count AIs: Individuation and Liability for AI Agents
by: Arbel, Yonathan, et al.
Published: (2026)

On the Evolution of A.I. and Machine Learning: Towards a Meta-level Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences
by: Audibert, Rafael B., et al.
Published: (2022)

The AI Ethical Resonance Hypothesis: The Possibility of Discovering Moral Meta-Patterns in AI Systems
by: Zgliczyński-Cuber, Tomasz
Published: (2025)

SIDEs: Separating Idealization from Deceptive Explanations in xAI
by: Sullivan, Emily
Published: (2024)

AI Narrative Breakdown. A Critical Assessment of Power and Promise
by: Rehak, Rainer
Published: (2026)

AI Agents and Hard Choices
by: Wang, Kangyu
Published: (2025)

The Language Labyrinth: Constructive Critique on the Terminology Used in the AI Discourse
by: Rehak, Rainer
Published: (2023)

Fairness in AI-Driven Recruitment: Challenges, Metrics, Methods, and Future Directions
by: Mujtaba, Dena F., et al.
Published: (2024)

Resisting AI Solutionism through Workplace Collective Action
by: Zheng, Kevin, et al.
Published: (2025)

Assistant, Parrot, or Colonizing Loudspeaker? ChatGPT Metaphors for Developing Critical AI Literacies
by: Gupta, Anuj, et al.
Published: (2024)

We Need a New Ethics for a World of AI Agents
by: Gabriel, Iason, et al.
Published: (2025)

Moral Responsibility or Obedience: What Do We Want from AI?
by: Boland, Joseph
Published: (2025)

AI-Augmented Science and the New Institutional Scarcities
by: Lovén, Lauri
Published: (2026)

Threats and Opportunities in AI-generated Images for Armed Forces
by: Meier, Raphael
Published: (2025)

Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores
by: Beuthan, Ralf, et al.
Published: (2026)

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

African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda
by: Okolo, Chinasa T.
Published: (2024)

Synthetic Sociality: How Generative Models Privatize the Social Fabric
by: Dodik, Ana, et al.
Published: (2026)

Comparing Apples to Oranges: A Taxonomy for Navigating the Global Landscape of AI Regulation
by: Alanoca, Sacha, et al.
Published: (2025)

Generative AI and the Future of the Digital Commons: Five Open Questions and Knowledge Gaps
by: Noroozian, Arman, et al.
Published: (2025)

Cognitive Atrophy and Systemic Collapse in AI-Dependent Software Engineering
by: Ginac, Frank
Published: (2026)