Jennifer L. Albert

According to our database, Jennifer L. Albert authored at least 23 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Leveraging an LLM-Driven Feedback System to Support Computational Thinking and AI-Integrated STEM Learning.

Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

CRAFT Prompt Generation Framework for Teachers.

Deepti Joshi, Robin Jocius, Jennifer L. Albert, Candace Joswick, Melanie Blanton

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

Democratizing Foundations of Problem-Solving with AI: A Breadth-First Search Curriculum for Middle School Students.

Griffin Pitts, Kimia Fazeli, Tirth Bhatt, Jennifer L. Albert, Marnie Hill, Tiffany Barnes, Shiyan Jiang, Bita Akram

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025

Moving Through the Messy Middle: Longitudinal Case Studies of Teachers' Computational Thinking Infusion.

Robin Jocius, Deepti Joshi, Melanie Blanton, Jennifer L. Albert, W. Ian O'Byrne

Technol. Knowl. Learn., December, 2025

Assessing Elementary Teachers' Knowledge of Integrated Computational Thinking.

Deepti Joshi, Candace Joswick, Jennifer L. Albert, Robin Jocius, Melanie Blanton, Robert Petrulis, Trent W. Dawson

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Leveraging Large Language Models to Promote AI-Infused STEM Problem-Solving for Middle School Students.

Ananya Rao, Krish Piryani, Shiyan Jiang, Tiffany Barnes, Jennifer L. Albert, Marnie Hill, Bita Akram

Proceedings of 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 18th Educational Data Mining Conference (EDM 2025), 2025

2024

Computational thinking infusion as transformative teaching: investigating content area teacher perspectives and practices.

Robin Jocius, Jennifer L. Albert, W. Ian O'Byrne, Deepti Joshi, Richard Robinson, Melanie Blanton

Comput. Sci. Educ., April, 2024

Elementary Teachers Engaging with Learning Trajectories to Create Professional Learning Goals around Computer Science Integration.

Jennifer L. Albert, Candace Joswick, Deepti Joshi, Robin Jocius, Melanie Blanton, Robert Petrulis

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023

Project Sustainability through Teacher Autonomy in CT Infusion.

Deepti Joshi, Robin Jocius, Melanie Blanton, Jennifer L. Albert, W. Ian O'Byrne

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

2022

Identifying Informatively Easy and Informatively Hard Concepts.

R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar

ACM Trans. Comput. Educ., 2022

2021

The Virtual Pivot: Transitioning Computational Thinking PD for Middle and High School Content Area Teachers.

Robin Jocius, Deepti Joshi, Jennifer L. Albert, Tiffany Barnes, Richard Robinson, Veronica Cateté, Yihuan Dong, Melanie Blanton, W. Ian O'Byrne, Ashley Andrews

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

2020

Code, Connect, Create: The 3C Professional Development Model to Support Computational Thinking Infusion.

Robin Jocius, Deepti Joshi, Yihuan Dong, Richard Robinson, Veronica Cateté, Tiffany Barnes, Jennifer L. Albert, Ashley Andrews, Nicholas Lytle

Proceedings of the 51st ACM Technical Symposium on Computer Science Education, 2020

2019

EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle.

A. T. M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Jennifer L. Albert, Anthony Bucci, Amruth N. Kumar

Genet. Program. Evolvable Mach., 2019

PRADA: A Practical Model for Integrating Computational Thinking in K-12 Education.

Yihuan Dong, Veronica Cateté, Robin Jocius, Nicholas Lytle, Tiffany Barnes, Jennifer L. Albert, Deepti Joshi, Richard Robinson, Ashley Andrews

Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

Infusing Computing: Analyzing Teacher Programming Products in K-12 Computational Thinking Professional Development.

Yihuan Dong, Veronica Cateté, Nicholas Lytle, Amy Isvik, Tiffany Barnes, Robin Jocius, Jennifer L. Albert, Deepti Joshi, Richard Robinson, Ashley Andrews

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

2017

Evolutionary Practice Problems Generation: More Design Guidelines.

Alessio Gaspar, A. T. M. Golam Bari, R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

A Data-Driven Analysis of Informatively Hard Concepts in Introductory Programming.

R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Lessons Learned from "BJC" CS Principles Professional Development.

Thomas W. Price, Veronica Cateté, Jennifer L. Albert, Tiffany Barnes, Daniel D. Garcia

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Evolutionary Practice Problems Generation: Design Guidelines.

Alessio Gaspar, A. T. M. Golam Bari, Amruth N. Kumar, Anthony Bucci, R. Paul Wiegand, Jennifer L. Albert

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Dimension Extraction Analysis of Student Performance on Problems.

Anthony Bucci, R. Paul Wiegand, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015

Evaluating Scratch Programs to Assess Computational Thinking in a Science Lesson (Abstract Only).

Jennifer L. Albert, Barry W. Peddycord III, Tiffany Barnes

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Communities of Performance & Communities of Preference.

Rebecca Brown, Collin F. Lynch, Yuan Wang, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan Shaun Baker, Yoav Bergner, Danielle S. McNamara

Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015

Good Communities and Bad Communities: Does Membership Affect Performance?

Rebecca Brown, Collin F. Lynch, Michael Eagle, Jennifer L. Albert, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara

Proceedings of the 8th International Conference on Educational Data Mining, 2015