Elizabeth Yuriev

Associate Professor

MONASH UNIVERSITY

Australia

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About

Elizabeth Yuriev is an Associate Professor at Monash University in Australia. Her research interests focus on the integration of generative AI in chemistry education, metacognitive problem-solving strategies, and the development of instructional scaffolds. Recent publications include studies on enhancing writing skills in pharmaceutical science, exploring student engagement, and investigating the impacts of AI on teaching methodologies in chemistry.

Articles (10)

Year:

2025

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2025

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2025

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2024

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2024

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2023

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2023

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2022

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2022

Year:

2020

Collaborators (9)

David Chalmers

MONASH UNIVERSITY

AUSTRALIA

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Tu Le

RMIT University

AUSTRALIA

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Raymond S. Norton

AUSTRALIA

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Paul J. White

AUSTRALIA

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Philip Thompson

Monash Institute of Pharmaceutical Sciences

AUSTRALIA

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Thomas Holme

Professor

Iowa State University

UNITED STATES

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Mahbub Sarkar

MONASH UNIVERSITY

AUSTRALIA

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Donald Wink

Professor

University of Chicago

UNITED STATES

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Irene Yarovsky

Professor

RMIT University

AUSTRALIA

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Elizabeth Yuriev

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

Integrating Generative AI in Chemistry Education: Enhancing Career-Ready Writing Skills in Pharmaceutical Science

Exploring Problem-Solving Scaffolds in General Chemistry: A Systematic Review of Scaffolding Goals and Instructional Approaches

Metacognitive problem solving: exploration of students’ perspectives through the lens of multi-dimensional engagement

The Dawn of Generative Artificial Intelligence in Chemistry Education

Development of problem-solving skills supported by metacognitive scaffolding: insights from students’ written work

Virtual Special Issue Call for Papers: Investigating the Uses and Impacts of Generative Artificial Intelligence in Chemistry Education

Metacognition and Critical Thinking: Using ChatGPT-Generated Responses as Prompts for Critique in a Problem-Solving Workshop (SMARTCHEMPer)

Membrane Permeating Macrocycles: Design Guidelines from Machine Learning

Problem solving in chemistry supported by metacognitive scaffolding: teaching associates’ perspectives and practices

Markov State Model Analysis of Haloperidol Binding to the D3 Dopamine Receptor

Collaborators (9)

David Chalmers

Tu Le

Raymond S. Norton

Paul J. White

Philip Thompson

Thomas Holme

Mahbub Sarkar

Donald Wink

Irene Yarovsky

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