Educational YouTube videos frame ChatGPT in three distinct ways—scaffolding, practice, or productivity—and productivity-framed content reaches more learners despite lower pedagogical depth.
Generative AI: A double-edged sword for creative thinking learning — Evidence from facial expressions and fNIRS
8 Pith papers cite this work. Polarity classification is still indexing.
8
Pith papers citing it
citation-role summary
other 1
citation-polarity summary
roles
other 1polarities
support 1representative citing papers
The authors introduce Agentivism as a learning theory for human-AI interaction that explains how durable capability develops through selective delegation, epistemic monitoring, reconstructive internalization, and transfer under reduced support.
The paper presents a conceptual design for an AI-augmented multiagent system that scaffolds structured sensemaking and argument visualization in educational and civic collaborative deliberation.
Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.
LLM-based multimodal feedback matches educator feedback in learning outcomes but exceeds it in student perceptions of quality, engagement, and reduced cognitive load.
Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.
A position paper proposing that cross-sensory interactions, not just additive sensory inputs, should guide the design of restorative virtual reality nature environments.
Survey of Chinese math teacher trainees finds basic AI-TPACK levels, self-efficacy helps, and strong teaching beliefs may hinder progress.
citing papers explorer
-
How YouTube Frames ChatGPT Use in Education: An Epistemic Network Analysis with Supporting Multimodal Metadata
Educational YouTube videos frame ChatGPT in three distinct ways—scaffolding, practice, or productivity—and productivity-framed content reaches more learners despite lower pedagogical depth.
-
Agentivism: a learning theory for the age of artificial intelligence
The authors introduce Agentivism as a learning theory for human-AI interaction that explains how durable capability develops through selective delegation, epistemic monitoring, reconstructive internalization, and transfer under reduced support.
-
Guided Sensemaking: Agents in Collaborative Deliberation
The paper presents a conceptual design for an AI-augmented multiagent system that scaffolds structured sensemaking and argument visualization in educational and civic collaborative deliberation.
-
Robo-Blocks: Generative Scaffolding in End-User Design and Programming of Social Robots
Robo-Blocks is an LLM-augmented block-based tool that supplies generative scaffolding via structured narratives; a deployment study with novices surfaced user personas, usage patterns, and design insights for integrating such scaffolding into social-robot programming practice.
-
LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback
LLM-based multimodal feedback matches educator feedback in learning outcomes but exceeds it in student perceptions of quality, engagement, and reduced cognitive load.
-
Understanding Self-Regulated Learning Behavior Among High and Low Dropout Risk Students During CS1: Combining Trace Logs, Dropout Prediction and Self-Reports
Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.
-
New Cross-Sensory Approach to Designing Restorative Virtual Environments
A position paper proposing that cross-sensory interactions, not just additive sensory inputs, should guide the design of restorative virtual reality nature environments.
-
The Status Quo and Future of AI-TPACK for Mathematics Teacher Education Students: A Case Study in Chinese Universities
Survey of Chinese math teacher trainees finds basic AI-TPACK levels, self-efficacy helps, and strong teaching beliefs may hinder progress.