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ORCIDArun Balajiee Lekshmi Narayanan
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- affiliation: University of Pittsburgh, USA
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Journal Articles
- 2021
[j2]Xiaoyi Tian
, Zak Risha, Ishrat Ahmed, Arun Balajiee Lekshmi Narayanan, Jacob T. Biehl:
Let's Talk It Out: A Chatbot for Effective Study Habit Behavioral Change. Proc. ACM Hum. Comput. Interact. 5(CSCW1): 97:1-97:32 (2021)- [j1]Vineet K. Raghu, Xiaoyu Ge, Arun Balajiee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis:
A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 811-822 (2021)
Conference and Workshop Papers
- 2025
- [c15]Jeevan Chapagain, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Peter Brusilovsky, Vasile Rus:
SelfCode 2.0: An Annotated Corpus of Student and Expert Line-by-Line Explanations of Code Examples for Automated Assessment. FLAIRS 2025 - [c14]Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan, Arav Agarwal, Jaromír Savelka, Peter Brusilovsky:
Generating Distractors for Code Completion Problems: Can LLM Assist Instructors? FLAIRS 2025 - [c13]Mohammad Hassany, Peter Brusilovsky, Jaromír Savelka, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Arav Agarwal, Rully Agus Hendrawan:
Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans. LAK 2025: 484-493 - 2024
- [c12]Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Engaging an LLM to Explain Worked Examples for Java Programming: Prompt Engineering and a Feasibility Study. HEXED/L3MNGET@EDM 2024 - [c11]Alex Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan, Samiha Marwan:
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset. CSEDM@EDM 2024 - [c10]Arun Balajiee Lekshmi Narayanan, Peter Brusilvosky:
Evaluating Correctness of Student Code Explanations: Challenges and Solutions. CSEDM@EDM 2024 - [c9]Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Human-AI Co-Creation of Worked Examples for Programming Classes. IUI Workshops 2024 - [c8]Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky, Vasile Rus:
Exploring The Effectiveness of Reading vs. Tutoring For Enhancing Code Comprehension For Novices. SAC 2024: 38-47 - [c7]Mohammad Hassany, Jiaze Ke, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu:
Authoring Worked Examples for JAVA Programming with Human AI Collaboration. SAC 2024: 101-103 - [c6]Rully Agus Hendrawan, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Jordan Barria-Pineda:
Explanations in Open User Models for Personalized Information Exploration. UMAP (Adjunct Publication) 2024 - 2023
- [c5]Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Jeevan Chapagain, Lasang Jimba Tamang, Peter Brusilovsky, Vasile Rus:
Improving Code Comprehension Through Scaffolded Self-explanations. AIED (Posters/Late Breaking Results/...) 2023: 478-483 - [c4]Arun Balajiee Lekshmi Narayanan, Ligia E. Gómez, Martha Michelle Soto Fernandez, Tri Nguyen, Chris Blais, Maria Adelaida Restrepo, Arthur M. Glenberg:
GenQ: Automated Question Generation to Support Caregivers While Reading Stories with Children. CLIHC 2023: 3:1-3:11 - [c3]Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda:
Help Me Read! Expanding Students' Reading with Wikipedia Articles. EDM 2023 - 2022
- [c2]Jordan Barria-Pineda, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky:
Augmenting Digital Textbooks with Reusable Smart Learning Content: Solutions and Challenges. iTextbooks@AIED 2022: 77-91 - 2021
- [c1]Arun Balajiee Lekshmi Narayanan, Ju Eun Lim, Tri Nguyen, Ligia E. Gómez, M. Adelaida Restrepo, Chris Blais, Arthur M. Glenberg, Erin Walker:
Parent-EMBRACE: An Adaptive Dialogic Reading Intervention. AIED (2) 2021: 239-244
Data and Artifacts
- 2023
- [d1]Arun Balajiee Lekshmi Narayanan, Jeevan Chapagain, Peter Brusilovsky, Vasile Rus:
SelfCode 2.0: Annotated Corpus of Student Self-Explanations to Introductory JAVA Programs in Computer Science. Zenodo, 2023
Informal and Other Publications
- 2025
- [i9]Natalia Echeverry, Arun Balajiee Lekshmi Narayanan:
How are CS students using resources and AI tools for coding tasks? CoRR abs/2508.04667 (2025) - 2024
- [i8]Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Human-AI Co-Creation of Worked Examples for Programming Classes. CoRR abs/2402.16235 (2024) - [i7]Arun Balajiee Lekshmi Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, Peter Brusilovsky, Vasile Rus:
Explaining Code Examples in Introductory Programming Courses: LLM vs Humans. CoRR abs/2403.05538 (2024) - [i6]Alex Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan, Samiha Marwan:
An Approach to Detect Abnormal Submissions for CodeWorkout Dataset. CoRR abs/2407.17475 (2024) - [i5]Aysa Xuemo Fan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Jiaze Ke:
Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers. CoRR abs/2409.14368 (2024) - [i4]Rujun Gao, Xiaosu Guo, Xiaodi Li, Arun Balajiee Lekshmi Narayanan, Naveen Thomas, Arun R. Srinivasa:
Towards Scalable Automated Grading: Leveraging Large Language Models for Conceptual Question Evaluation in Engineering. CoRR abs/2411.03659 (2024) - 2023
- [i3]Arun Balajiee Lekshmi Narayanan, Ligia E. Gómez, Martha Michelle Soto Fernandez, Tri Nguyen, Chris Blais, M. Adelaida Restrepo, Arthur M. Glenberg:
GenQ: Automated Question Generation to Support Caregivers While Reading Stories with Children. CoRR abs/2305.16809 (2023) - [i2]Arun Balajiee Lekshmi Narayanan, Rully Agus Hendrawan, Venktesh V:
Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions. CoRR abs/2306.00551 (2023) - [i1]Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan:
Authoring Worked Examples for Java Programming with Human-AI Collaboration. CoRR abs/2312.02105 (2023)
Coauthor Index
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