Rodrigo
Borela Valente

General Information

Email:
rborelav@gatech.edu
Phone:
404-894-2000
Location - Building:
CCB
Location - Room:
242
Roles:
Lecturer (any rank)
Primary Unit:
School of Computing Instruction
Website URL
https://www.cc.gatech.edu/people/rodrigo-borela-valente

Details

Degrees with subject and Postdoc Experience:
Degree Type
Ph.D
Subject
Computational Science and Engineering
Year
2021
Institution
Georgia Institute of Technology
Location
Atlanta, Georgia
Degree Type
M.S.
Subject
Computational Science and Engineering
Year
2019
Institution
Georgia Institute of Technology
Location
Atlanta, Georgia
Degree Type
M.S.
Subject
Civil Engineering
Year
2016
Institution
Purdue University
Location
West Lafayette, Indiana
Degree Type
B.S.
Subject
Civil Engineering
Year
2014
Institution
Federal University of Uberlandia
Location
Uberlandia, Brazil
Statement of Research Interests:

Rodrigo Borela Valente’s research focuses on the development of artificial intelligence for computing education. His work spans educational data mining, learning analytics, and curriculum and pedagogical design, with an emphasis on evaluating learning tools that support the development of critical thinking and problem-solving skills.

Statement of Teaching Interests:

Rodrigo Borela Valente’ teaching spans the breadth of the computing curriculum at the undergraduate and graduate levels, including introduction to computing, senior capstone, database management systems, artificial intelligence, machine learning, and teaching assistant pedagogical training.

Selection of recent research, scholarly, and creative activities:

Zhixian Christopher Liding, Michael Osmolovskiy, Harshith Lanka, Ronnie Howard, Nimisha Roy, and Rodrigo Borela. 2026. To Tell or to Ask? Comparing the Effects of Targeted vs. Socratic AI Hints. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2 (SIGCSE TS 2026), February 18–21, 2026, St. Louis, MO, USA. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3770761.3777327.

 

Zhixian Christopher Liding, Michael Osmolovskiy, Harshith Lanka, Nimisha Roy, and Rodrigo Borela. 2026. AI-Augmented Instruction: Real-Time Misconception Detection. In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2 (SIGCSE TS 2026), February 18–21, 2026, St. Louis, MO, USA. ACM, New York, NY, USA, 2 pages. https://doi.org/10.1145/3770761.3777326.

 

Rodrigo Borela, Meryem Yilmaz Soylu, Jeonghyun Lee, and Nimisha Roy. 2025. What Computing Faculty Want: Designing AI Tools for High-Enrollment Courses Beyond CS1. In Proceedings of the 2025 ACM Conference on International Computing Education Research V.2 (ICER '25). Association for Computing Machinery, New York, NY, USA, 32–33. https://doi.org/10.1145/3702653.3744327.

 

Zhixian Christopher Liding, Nimisha Roy, and Rodrigo Borela. 2025. Tracking the Progression of Errors Across Successive CS1 Code Submissions. In Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2025). Association for Computing Machinery, New York, NY, USA, 801. https://doi.org/10.1145/3724389.3730809.

 

Rodrigo Borela, Zhixian Liding, and Melinda McDaniel. 2025. Enhancing CS1 Education through Experiential Learning with Robotics Projects. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1 (SIGCSETS 2025). Association for Computing Machinery, New York, NY, USA, 144–150. https://doi.org/10.1145/3641554.3701810.

 

Austin J. Adams, Rodrigo Borela, Jeffrey S. Young, and Thomas M. Conte. 2025. A Blueprint for Q-CS1, an Introductory Quantum Programming Course. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSETS 2025). Association for Computing Machinery, New York, NY, USA, 1351–1352. https://doi.org/10.1145/3641555.3705116.