{ Andrew M. Olney }

Supporting Inquiry-Based Learning and Data Science Education Through AI-enabled Data Personalization

Tue, 11 Aug 2026 00:00:00 +0000

Barboza, L, Tawfik, A. A., & Olney, A. M. (2026). Supporting Inquiry-Based Learning and Data Science Education Through AI-enabled Data Personalization. The Journal of Applied Instructional Design, 15(3). https://doi.org/10.59668/2580.24778

Generative AI for Concept Learning - Evolution of the Mobile Fact and Concept Training System

Fri, 20 Mar 2026 00:00:00 +0000

Olney, A. M. (2026). Generative AI for Concept Learning: Evolution of the Mobile Fact and Concept Training System. In A. M. Sinatra, V. Rus, A. C. Graesser, & P. M. Lawton (Eds.), Design Recommendations for Intelligent Tutoring Systems: Volume 12—Generative Artificial Intelligence. (pp. 115–125). US Army Combat Capabilities Development Command - Soldier Center.

Building a Custom Serge-style 4u Synthesizer

Mon, 09 Mar 2026 00:00:00 +0000

I recently designed and built a Serge-style synthesizer around available PCBs.

Converting a piano into a stealth desk

Mon, 06 Oct 2025 00:00:00 +0000

I tried to give away a 1960’s Baldwin Hamilton for years. I finally decided to gut it and turn it into something useful.

Retiring from the University of Memphis

Sun, 31 Aug 2025 00:00:00 +0000

Today is my last day as a professor at the University of Memphis!

Concluding DataWhys Summer Internship Program 2025

Mon, 07 Jul 2025 00:00:00 +0000

Today we concluded our sixth year of a summer internship program in data science - our second year in person!

JupyterLab Experimental Control Extension for JupyterLab 4.x

Mon, 02 Jun 2025 00:00:00 +0000

A JupyterLab extension that adds gives experimental control to the JupyterLab interface, now upgraded for JupyterLab 4.x!

Exploring the Link between Cognitive Abilities and Data Science Skills using Alternative Raven's Progressive Matrices

Tue, 27 May 2025 00:00:00 +0000

Farzan, F., Mashrique, H., & Olney, A. M. (2025). Exploring the Link between Cognitive Abilities and Data Science Skills using Alternative Raven’s Progressive Matrices. In B. Akram, Y. Shi, P. Brusilovsky, T. Price, K. Koedinger, P. Carvalho, S. Zhang, A. Lan, & J. Leinonen (Eds.), Proceedings of 9th Educational Data Mining in Computer Science Education Workshop (CSEDM Workshop). CEUR. https://ceur-ws.org/Vol-4019/paper_07.pdf

Dataset Personalization Methods based on LLMs for Data Science Education - A Comparative Study of Rescaling and Sampling Approaches

Wed, 30 Apr 2025 00:00:00 +0000

Barboza, L., Farzan, F., & Olney, A. M. (2025). Dataset Personalization Methods based on LLMs for Data Science Education: A Comparative Study of Rescaling and Sampling Approaches. Proceedings of the Twelfth ACM Conference on Learning @ Scale, 261–265. https://doi.org/10.1145/3698205.3733936

Efficacy of a Computer Tutor that Models Expert Human Tutors

Thu, 03 Apr 2025 00:00:00 +0000

Olney, A. M., D’Mello, S. K., Person, N., Cade, W., Hays, P., Dempsey, C. W., Lehman, B., Williams, B., & Graesser, A. (2025). Efficacy of a Computer Tutor that Models Expert Human Tutors. In A. I. Cristea, E. Walker, Y. Lu, O. C. Santos, & S. Isotani (Eds.), Artificial Intelligence in Education (pp. 301-308). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-98462-4_38