Cover Image

Agentivism: a learning theory for the age of artificial intelligence

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Lixiang, Gašević, Dragan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Promises and challenges of generative artificial intelligence for human learning
by: Yan, Lixiang, et al.
Published: (2024)

Socially fluent AI decouples conversational signals from source identity in online interaction
by: Yan, Lixiang, et al.
Published: (2026)

Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines
by: Jin, Yueqiao, et al.
Published: (2024)

Human-Centred Learning Analytics and AI in Education: a Systematic Literature Review
by: Alfredo, Riordan, et al.
Published: (2023)

Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality
by: Yang, Kaixun, et al.
Published: (2024)

Distinguishing performance gains from learning when using generative AI
by: Yan, Lixiang, et al.
Published: (2026)

Agentic AI as Undercover Teammates: Argumentative Knowledge Construction in Hybrid Human-AI Collaborative Learning
by: Yan, Lixiang, et al.
Published: (2025)

From Passive Tool to Socio-cognitive Teammate: A Conceptual Framework for Agentic AI in Human-AI Collaborative Learning
by: Yan, Lixiang
Published: (2025)

Understanding Critical Thinking in Generative Artificial Intelligence Use: Development, Validation, and Correlates of the Critical Thinking in AI Use Scale
by: Lau, Gabriel R., et al.
Published: (2025)

GLAT: The Generative AI Literacy Assessment Test
by: Jin, Yueqiao, et al.
Published: (2024)

Emergent Learner Agency in Implicit Human-AI Collaboration: How AI Personas Reshape Creative-Regulatory Interaction
by: Jin, Yueqiao, et al.
Published: (2025)

Social physics in the age of artificial intelligence
by: Han, The Anh, et al.
Published: (2026)

Educational impacts of generative artificial intelligence on learning and performance of engineering students in China
by: Fan, Lei, et al.
Published: (2025)

Directive, Metacognitive or a Blend of Both? A Comparison of AI-Generated Feedback Types on Student Engagement, Confidence, and Outcomes
by: Alsaiari, Omar, et al.
Published: (2025)

Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?
by: Shao, Honbo, et al.
Published: (2024)

Large Language Models Meet User Interfaces: The Case of Provisioning Feedback
by: Pozdniakov, Stanislav, et al.
Published: (2024)

Using artificial intelligence methods for the studyed visual analyzer
by: Medvedeva, A. I., et al.
Published: (2024)

The use of artificial intelligence in music creation: between interface and appropriation
by: Zeller, Arnaud, et al.
Published: (2025)

Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance
by: Fan, Yizhou, et al.
Published: (2024)

The Agency Gap: How Generative AI Literacy Shapes Independent Writing after AI Support
by: Jin, Yueqiao, et al.
Published: (2025)

Young people's perceptions and recommendations for conversational generative artificial intelligence in youth mental health
by: Poulsen, Adam, et al.
Published: (2026)

Construction and application of artificial intelligence crowdsourcing map based on multi-track GPS data
by: Wang, Yong, et al.
Published: (2024)

Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact
by: Garces, Kiyoshige, et al.
Published: (2026)

AI Thinking: A framework for rethinking artificial intelligence in practice
by: Newman-Griffis, Denis
Published: (2024)

Expansion of situations theory for exploring shared awareness in human-intelligent autonomous systems
by: Humr, Scott A., et al.
Published: (2024)

Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics
by: Li, Xinyu, et al.
Published: (2026)

A technical curriculum on language-oriented artificial intelligence in translation and specialised communication
by: Krüger, Ralph
Published: (2026)

Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States
by: Girdwood, Tyra, et al.
Published: (2026)

When Machines Join the Moral Circle: The Persona Effect of Generative AI Agents in Collaborative Reasoning
by: Jin, Yueqiao, et al.
Published: (2025)

A perishable ability? The future of writing in the face of generative artificial intelligence
by: Cunha, Evandro L. T. P.
Published: (2025)

From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning
by: Yan, Lixiang, et al.
Published: (2024)

Generative artificial intelligence enhances creativity but reduces the diversity of novel content
by: Doshi, Anil R., et al.
Published: (2023)

Data over dialogue: Why artificial intelligence is unlikely to humanise medicine
by: Hatherley, Joshua
Published: (2025)

Challenges for artificial cognitive systems
by: Gomila, Antoni, et al.
Published: (2025)

The Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge
by: Hila, Angjelin
Published: (2025)

Mozualization: Crafting Music and Visual Representation with Multimodal AI
by: Xu, Wanfang, et al.
Published: (2025)

Super-intelligence or Superstition? Exploring Psychological Factors Influencing Belief in AI Predictions about Personal Behavior
by: Lee, Eunhae, et al.
Published: (2024)

FLoRA: An Advanced AI-Powered Engine to Facilitate Hybrid Human-AI Regulated Learning
by: Li, Xinyu, et al.
Published: (2025)

FATE in MMLA: A Student-Centred Exploration of Fairness, Accountability, Transparency, and Ethics in Multimodal Learning Analytics
by: Jin, Yueqiao, et al.
Published: (2024)

The Effects of Generative AI Agents and Scaffolding on Enhancing Students' Comprehension of Visual Learning Analytics
by: Yan, Lixiang, et al.
Published: (2024)