Andrew Tran

According to our database, Andrew Tran authored at least 19 papers between 2009 and 2024.

Collaborative distances:

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

2024

Moderating Technostress for Enhanced Student Learning Experiences: A Stress-is-Enhancing Mindset Approach.

Andrew Tran, Zixiu Guo, Carmen Leong, Giuseppe Daniele Ibello

Proceedings of the 45th International Conference on Information Systems, 2024

Decoding Logic Errors: A Comparative Study on Bug Detection by Students and Large Language Models.

Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim

Proceedings of the 26th Australasian Computing Education Conference, 2024

2023

Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances.

Stephen MacNeil, Andrew Tran, Joanne Kim, Ziheng Huang, Seth Bernstein, Dan Mogil

CoRR, 2023

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book.

Stephen MacNeil, Andrew Tran, Arto Hellas, Joanne Kim, Sami Sarsa, Paul Denny, Seth Bernstein, Juho Leinonen

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Automatically Generating CS Learning Materials with Large Language Models.

Stephen MacNeil, Andrew Tran, Juho Leinonen, Paul Denny, Joanne Kim, Arto Hellas, Seth Bernstein, Sami Sarsa

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

The Implications of Large Language Models for CS Teachers and Students.

Stephen MacNeil, Joanne Kim, Juho Leinonen, Paul Denny, Seth Bernstein, Brett A. Becker, Michel Wermelinger, Arto Hellas, Andrew Tran, Sami Sarsa, James Prather, Viraj Kumar

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

Comparing Code Explanations Created by Students and Large Language Models.

Juho Leinonen, Paul Denny, Stephen MacNeil, Sami Sarsa, Seth Bernstein, Joanne Kim, Andrew Tran, Arto Hellas

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Using Large Language Models to Automatically Identify Programming Concepts in Code Snippets.

Andrew Tran, Linxuan Li, Egi Rama, Kenneth Angelikas, Stephen MacNeil

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Generating Multiple Choice Questions for Computing Courses Using Large Language Models.

Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H. Smith IV, Stephen MacNeil

Proceedings of the IEEE Frontiers in Education Conference, 2023

GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context Learning.

Xiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Generating Diverse Code Explanations using the GPT-3 Large Language Model.

Stephen MacNeil, Andrew Tran, Dan Mogil, Seth Bernstein, Erin Ross, Ziheng Huang

Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event Switzerland, August 7, 2022

2020

arcos and arcospy: R and Python packages for accessing the DEA ARCOS database from 2006 - 2014.

Steven Rich, Andrew Tran, Aaron Williams, Jason Holt, Jeffery Sauer, Taylor Oshan

J. Open Source Softw., 2020

Extend: A Framework for Increasing Energy Access by Interconnecting Solar Home Systems.

Santiago Correa, Noman Bashir, Andrew Tran, David E. Irwin, Jay Taneja

Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 2020

2019

Visual Analytic Process to Familiarize the Average Person with Ways to Apply Machine Learning.

Andrew Tran, Yamini Dasu, Anna Baynes

Proceedings of the Visualization and Data Analysis 2019, 2019

2016

MoBI-Box: A next generation Mobile Brain-Body Imaging Platform.

Ying Choon Wu, Jeffery Wang, Andrew Tran, Alex Schperberg, John Caldwell, Tzyy-Ping Jung, Po-Chih Kuo

Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2016

2010

TreeMatch: A Fully Unsupervised WSD System Using Dependency Knowledge on a Specific Domain.

Andrew Tran, Chris Bowes, David Brown, Ping Chen, Max Choly, Wei Ding

Proceedings of the 5th International Workshop on Semantic Evaluation, 2010

Word sense distribution in a web corpus.

Ping Chen, David Brown, Andrew Tran, Noble Ozoka, Rafael Ortiz

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Hashing it out in public: common failure modes of DHT-based anonymity schemes.

Andrew Tran, Nicholas Hopper, Yongdae Kim

Proceedings of the 2009 ACM Workshop on Privacy in the Electronic Society, 2009

Scalable onion routing with torsk.

Jon McLachlan, Andrew Tran, Nicholas Hopper, Yongdae Kim

Proceedings of the 2009 ACM Conference on Computer and Communications Security, 2009