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Jionghao Lin

Assistant Professor

The University of Hong Kong

Hong Kong

Research Interests

Articles (20)

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2027

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2026

Collaborators (4)

Dragan Gasevic

Chair Professor

The University of Hong Kong

HONG KONG

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Paulo Carvalho

Assistant Professor

Carnegie Mellon University

UNITED STATES

View details

Qianou Ma

Carnegie Mellon University

UNITED STATES

View details

Sri Yash Tadimalla

University of North Carolina

UNITED STATES

View details

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Jionghao Lin

Research Interests

Articles (20)

AWCRL: Adaptive Weakly Supervised Cross-Modal Reliability Learning for resource-constrained proxy-state recognition

CARTN: Counterfactual audit and repair for trust-aware multi-signal streaming LiDAR segmentation

From Feedback to Regulation: Comparing Generative AI and Human Feedback in Supporting Self-regulated Learning

Human–AI Collaboration Reconfigures Group Regulation from Socially Shared to Hybrid Co-regulation

MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers

Simulating Novice Students Using Machine Unlearning and Relearning in Large Language Models

RAP-VIoT: Resource-adaptive and scalable vision with IoT guidance and traceability

Retrieval‐Augmented Lesson Generation With Large Language Models for Scenario‐Based Tutor Training

AURA-Trace: Auditable Provenance-Aware Synthetic Release of Campus IoT Time Series for Privacy-Preserving AI4Science

Augmenting Knowledge Tracing With Self-Regulated Learning Indicators for Reliable Skill-Mastery Estimation

Fairness Audits for Learning at Scale: A Two-Stage Audit of Threshold Fairness and Capacity-Limited Support Allocation

Learning-Aware Reliability Estimation for Tutor Skill Assessment Using Large Language Models

AI Knows Best? The Paradox of Expertise, AI-Reliance, and Performance in Educational Tutoring Decision-Making Tasks

LLM-based Multimodal Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback

AI Literacy For All: 2nd International Workshop on AI Literacy Education For All

AutoKT: Using LLMs to Estimate Item Difficulty for Knowledge Tracing

Automatic Large Language Models Creation of Interactive Learning Lessons

Building Regulation Capacity in Human–AI Collaborative Learning: A Human-Centred GenAI System

Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios Through Data Augmentation

Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study

Collaborators (4)

Dragan Gasevic

Paulo Carvalho

Qianou Ma

Sri Yash Tadimalla

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