Shiyan Jiang

Assistant Professor

North Carolina State University

United States

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About

Shiyan Jiang is an Assistant Professor at North Carolina State University in the United States. His research focuses on technology-supported learning, particularly in the context of nontraditional students and marginalized groups. Recent articles explore topics such as the impact of AI on classroom engagement, the role of computational thinking in education, and the visualization of qualitative data in learning environments.

Articles (13)

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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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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (7)

Victor Lee

Stanford University

UNITED STATES

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Joshua Rosenberg

Assistant Professor

University of Tennessee

UNITED STATES

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Changzhao Wang

University of Miami

UNITED STATES

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Hengtao Tang

University of South Carolina

UNITED STATES

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Brian Abramowitz

University of Florida

UNITED STATES

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Carolyn Rose

Professor

Carnegie Mellon University

UNITED STATES

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Robert Moore

Assistant Professor

University of Florida

UNITED STATES

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Shiyan Jiang

Research Interests

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About

Articles (13)

Analysing nontraditional students' ChatGPT interaction, engagement, self‐efficacy and performance: A mixed‐methods approach

Towards inclusivity in AI: A comparative study of cognitive engagement between marginalized female students and peers

“They created segregation with the economy”: Using AI for a student-driven inquiry into redlining in the social studies classroom

High school students’ data modeling practices and processes: From modeling unstructured data to evaluating automated decisions

What would the matrix do?: a systematic review of K-12 AI learning contexts and learner-interface interactions

Visualizing qualitative data: unpacking the complexities and nuances of technology-supported learning processes

Blurring the boundaries of current and future selves: students’ STEM identity exploration in a multimodal composing learning environment

Examining How Students Code with Socioscientific Data to Tell Stories About Climate Change

Learning Analytics for Assessing Hands-on Laboratory Skills in Science Classrooms Using Bayesian Network Analysis

Examining computational thinking processes in modeling unstructured data

An empirical analysis of high school students' practices of modelling with unstructured data

Data science education across the disciplines: Underexamined opportunities for K‐12 innovation

Augmented Reality in Science Laboratories: Investigating High School Students’ Navigation Patterns and Their Effects on Learning Performance

Collaborators (7)

Victor Lee

Joshua Rosenberg

Changzhao Wang

Hengtao Tang

Brian Abramowitz

Carolyn Rose

Robert Moore

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