Artificial Intelligence (AI) and Data Science

The College of Education is actively engaged in Purdue University’s Strategic Initiatives surrounding Artificial Intelligence (AI) and Data Science. The College of Education’s AI Working Group guides and coordinates the College’s current and future efforts in these quickly evolving areas.

Overview

We offer courses, graduate certificates, and degree programs that provide training for students in the analyses of large sets of numerical, textual, and multimodal data and practical applications of AI tools. In addition, we are leveraging our comparative advantage in P-12 education to provide professional development and training to our school-based colleagues. The College is home to faculty scholars, centers and funded grant projects engaged in interdisciplinary research to leverage AI tools and to collect and analyze data that seeks to transform learning and teaching, inform policy and make a difference in the lives of culturally and linguistically diverse students, families and communities.

Luke Bennett
Clinical Assistant Professor
Learning Design & Technology
Department of Curriculum and Instruction


Hua Hua Chang
Charles R. Hicks Chair Professor
Professor of Statistics (Courtesy)
Educational Psychology & Research Methodology
Department of Educational Studies


Wanju Huang
Clinical Associate Professor
Learning Design & Technology
Department of Curriculum and Instruction


Yingying Jiang
Visiting Clinical Assistant Professor
Educational Psychology and Research Methodology
Department of Educational Studies


Signe E. Kastberg
Professor and Mary Endres Chair in Elementary Education
Mathematics Education
Department of Curriculum and Instruction


Yuanfang Liu
Ross-Lynn Research Scholar
Departmental Administrative Staff
Department of Educational Studies


Jason Wade Morphew
Assistant Professor of Engineering Education
Director of Undergraduate Curriculum and Advanced Learning Technologies for SCALE
INSPIRE Research Institute for Pre-College Engineering
Center for Advancing the Teaching and Learning of STEM (CATALYST)


Rita Neidlinger
Assistant to the Dean
Office of the Dean
Education Administration


Nielsen Pereira
Director of the Gifted Education Resource Institute (GERI)
Associate Professor
Gifted, Creative and Talented Studies
Department of Educational Studies


Toni K. Rogat
Associate Department Head
Associate Professor
Educational Psychology & Research Methodology
Department of Educational Studies


Ala Samarapungavan
Interim Department Head
Professor
Educational Psychology & Research Methodology
Department of Educational Studies


Amogh Sirnoorkar
Postdoctoral Research Associate
Science Education
Department of Curriculum and Instruction


Anne Traynor
Associate Professor
Educational Psychology & Research Methodology
Department of Educational Studies


Phillip J. VanFossen
Interim Dean
Director & James F. Ackerman Distinguished Professor of Social Studies Education
Faculty Athletic Representative for Purdue University


William Watson, Chair
Professor
Director of Purdue Center for Serious Games and Learning in Virtual Environments
Learning Design and Technology
Department of Curriculum and Instruction


Wayne E. Wright
Associate Dean for Research, Graduate Programs and Faculty Development
Professor and Barbara I. Cook Chair of Literacy and Language
Department of Curriculum and Instruction

Development of an Undergraduate degree concentration in Applications of Artificial Intelligence in Learning Science and Engineering

  • $40,000
  • Innovation Hub
  • Amogh Sirnoorkar, Sanjay Rebello, and Lynn A. Bryan

Promoting Equity and Research Using Adaptive Testing to Support Individualized Instruction at Scale

  • $499,867
  • National Science Foundation
  • Hua Hua Chang
  • 10/2023-9/2025

Collaborative Research: Individualizing Instruction and Improving Research using Adaptive Testing (i3RAT)

  • $158,416
  • National Science Foundation
  • Hua Hua Chang
  • 09/2022-08/2024

Development and analysis of physics research-based assessments using Generative-AI

  • Amogh Sirnoorkar, Department of Curriculum & Instruction, Purdue University
  • Sai Munikoti, Pacific Northwest National Laboratory, Washington
  • Ian Arnold, Department of Physics and Astronomy, Purdue University
  • Sanjay Rebello, Department of Physics and Astronomy, Department of Curriculum & Instruction, Purdue University

Promoting analogical reasoning in physics using Generative-AI

  • Amogh Sirnoorkar, Department of Curriculum & Instruction, Purdue University
  • Ian Arnold, Department of Physics and Astronomy, Purdue University
  • Sanjay Rebello, Department of Physics and Astronomy, Department of Curriculum & Instruction, Purdue University

Mapping the landscape of artificial intelligence in physics education research

  • Amir Bralin, Department of Physics and Astronomy, Purdue University
  • Marla Grover, Department of Physics and Astronomy, Purdue University
  • Sanjay Rebello, Department of Physics and Astronomy, Department of Curriculum & Instruction, Purdue University
  • Amogh Sirnoorkar, Department of Curriculum & Instruction, Purdue University

Analysis of value-based reasoning in Generative-AI platforms

  • Bill Bridges, Department of Physics, Kansas State University
  • Tyler Garcia, Department of Physics, Kansas State University
  • Justin Hess, School of Engineering Education, Purdue University
  • Amogh Sirnoorkar, Department of Curriculum & Instruction, Purdue University

EDPS 53100 – Introduction to Measurement and Instrument Design

EDPS 53300 – Introduction to Educational Research I: Methodology (or equivalent course)

EDPS 55600 – Introduction to Quantitative Data Analysis Methods in Education I (or equivalent course)

EDPS 55700 – Introduction to Quantitative Data Analysis Methods in Education II (or equivalent course)

EDCI 59100/PHYS 59000: – “Artificial Intelligence in STEM Education”

EDCI 62100 – Technology for Qualitative Research

EDPS 63200 – Seminar in Research Procedures in Education – Recent topics include Meta-analysis, Structural Equation Modeling, Computerized Adaptive Testing, Multilevel Modeling (variable title; can be taken multiple times)

EDPS 63500 – Psychometric Theory and Application

EDPS 63600 – Item Response Theory

EDPS 63800 – Factor Analytic Procedures


How to Train Your AI Learning Coach: A Personalized Learning Adventure

Gifted Education Research & Resource Institute New Summer Camp Course – Visit website.

Cheng, Y. (2024, March 28). How Early, Accurate, and Fair Can We Predict Student Learning in Foundational STEM Courses? [Presentation]. Craft Data Science Insights: A 40-Minute Exploration, Purdue University. https://youtu.be/T1xH3S_PAFo


Zhang, S. (2024, March 26). Exploring the NAEP Math Achievement Gap: Insights from Test-Taking Process Data [Presentation]. Craft Data Science Insights: A 40-Minute Exploration, Purdue University. https://youtu.be/_zSWlyBsuQ8


Zheng, C. (2024, March 20). Psychometrics Empowering Large Language Models in Chinese Essay Automated Scoring [Presentation]. Craft Data Science Insights: A 40-Minute Exploration, Purdue University. https://youtu.be/2AmBLN0C5m8?si=R-RS7KCa59HrY1O-


He, Q. (2024, February 26). Sequence Mining on Process Data in Digital-Based Large-Scale Assessments [Presentation]. Craft Data Science Insights: A 40-Minute Exploration, Purdue University. https://www.youtube.com/watch?v=9Dl1ewGxTRA


Kwon, K. (2023, September 15). AI Education: Lessons Learned for Empowering Teachers and Enriching Student Learning [Presentation]. Power Friday, Purdue University. https://youtu.be/5MUmoVgbbB0

Chang, H. (2023, December 1). Integrating Psychometric Tools into AI Development [Panel Presentation]. Trustworthy AI Lab for Education Summit. https://www.youtube.com/watch?v=Lj3ZX1GIW1o&list=PL-8_PytklE-NbIgVRNqPXdeMlfsbV9PDE&index=2


Chang, H. (2023, October 4). Building Adaptive Testing Tools to Improve Classroom Assessment in Large Introductory STEM [Presentation]. Center for Astrophysics, Harvard & Smithsonian Science Education, CfA Science Education Department, Harvard University. https://www.youtube.com/watch?v=gCmfTv3fNuE


Chang, H. (2022, June 15). A New Perspective of Computerized Adaptive Testing (CAT): From Testing to Personalized Learning [Presentation]. 2022 NCME Career Contribution Award Presentation. https://youtu.be/X15kcYkGUgA?si=0i7HT5GskpMfjMIM


Chang, H. (2018, April 14). From Adaptive Testing to Adaptive Learning [AERA E.F. Lindquist Award Lecture]. 2018 American Educational Research Association (AERA) Annual Meeting. New York, NY. https://youtu.be/1jZv3b5_-QE?si=58ztPGYTbBKWqXKi


He, Q. (2024, February 26). Sequence Mining on Process Data in Digital-Based Large-Scale Assessments [Presentation]. Craft Data Science Insights: A 40-Minute Exploration, Purdue University. https://www.youtube.com/watch?v=9Dl1ewGxTRA


Huang, W., & Yu, W. (2023, December 1). Artificial intelligence (AI) and education – voices from K-12 educators in South Korea and the United States [Conference presentation]. Trustworthy AI Lab for Education Summit, Notre Dame, IN, United States. https://lucyinstitute.nd.edu/wp-content/uploads/2023/11/TrustworthyAI_Program_2023_v2.pdf


Huang, W. & Yu, W. (2023, November 10). The collaboration between AI and educators. Indiana Association of Colleges for Teacher Education (IACTE) webinar. https://www.inaacte.org/


Huang, W., & Yu, W. (2023, October 15-19). AI education integration in South Korea from early adopter’s perspectives: A case study [Conference presentation]. AECT 2023 Convention, Orlando, FL, United States. https://convention.aect.org/


Jiang, Y., Xie, L., Lin, G., & Mo, F. Widening the Debate: The Academic Community’s Perception of ChatGPT. 2024 American Educational Research Association (AERA) Conference. Philadelphia, PA.


Jiang, Y. (2023, December 1). Exploring ChatGPT: Policy and Regulation of Digital Frameworks Through Twitter Discourse [Conference presentation]. Trustworthy AI Lab for Education Summit, Notre Dame, IN, United States. https://lucyinstitute.nd.edu/wp-content/uploads/2023/11/TrustworthyAI_Program_2023_v2.pdf


Sirnoorkar, A. (2024, February). Leveraging Generative-AI in physics education. Physics Education Research group seminar, Department of Physics and Astronomy, Purdue University.


Sirnoorkar, A., Laverty, J.T., Zollman, D., Rebello, S. & Bryan, L.A. (2023, December). Exploring student and AI generated assumptions to varying degree of promoting. Proceedings, International Conference on Physics Education (ICPE), India.


Sirnoorkar, A. (2023, October). Development and analysis of assessments that promote sensemaking in physics. Physics Education Research group seminar, Department of Physics and Astronomy, Purdue University.


Yu, W., Kang, S., & Huang, W. (2023, December 1). C.A.R.E (computer science, artificial intelligence, robotics, and emerging technologies) @ Purdue [Conference presentation]. Trustworthy AI Lab for Education Summit, Notre Dame, IN, United States. https://lucyinstitute.nd.edu/wp-content/uploads/2023/11/TrustworthyAI_Program_2023_v2.pdf

Ozen, Z. (2024). Developing a first-level gifted identification tool: A machine learning application. Dissertation Chair: Nielsen Pereira


Karakis, N. (2021). Predictors of early postsecondary stem persistence of high-achieving students: an explanatory study using machine learning techniques. Dissertation Chair: Nielsen Pereira