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Tongguang Li

Monash University Malaysia.

Australia

Research Interests

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Professors in Australia Professors in Artificial Intelligence Artificial Intelligence professors in Australia

Articles (10)

Year:

2027

Year:

2027

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Collaborators (12)

Hua Zuo

University of Sydney

AUSTRALIA

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Lyn Lim

Head of Junior Research Group

University of Hagen

GERMANY

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Bernardo Costa Ramos

Professor

Rodio Portugal

PORTUGAL

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Yi-Shan Tsai

Senior Lecturer

MONASH UNIVERSITY

AUSTRALIA

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shiqi liu

Monash University Malaysia.

AUSTRALIA

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Zachari Swiecki

Senior Lecturer (Assistant Professor)

MONASH UNIVERSITY

AUSTRALIA

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Dragan Gasevic

Chair Professor

The University of Hong Kong

HONG KONG

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Wei Dai

The University of Hong Kong

HONG KONG

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Junyu Xuan

University of Sydney

AUSTRALIA

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Jionghao Lin

Assistant Professor

The University of Hong Kong

HONG KONG

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Lixiang Yan

Assistant Professor

Tsinghua University

CHINA

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inge Molenaar

Professor Education and Artificial Intelligence

Radboud University

NETHERLANDS

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Tongguang Li

Research Interests

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Articles (10)

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

Trace-based measurement of self-regulated learning in primary mathematics: Implementation and validation within an adaptive learning platform

Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support

FLoRA: An advanced AI-powered engine to facilitate hybrid human-AI regulated learning

Analytics of Self‐Regulated Learning in Learning Analytics Feedback Processes: Associations With Feedback Literacy in Secondary Education

Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance

FLoRA Engine

Self-regulated Learning Processes in Secondary Education: A Network Analysis of Trace-based Measures

Turning Real-Time Analytics into Adaptive Scaffolds for Self-Regulated Learning Using Generative Artificial Intelligence

Transfer Reinforcement Learning for Self-Regulated Learning Support: An Evaluation Using Successor Representations

Collaborators (12)

Hua Zuo

Lyn Lim

Bernardo Costa Ramos

Yi-Shan Tsai

shiqi liu

Zachari Swiecki

Dragan Gasevic

Wei Dai

Junyu Xuan

Jionghao Lin

Lixiang Yan

inge Molenaar

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