Arun Balajiee Lekshmi Narayanan

According to our database, Arun Balajiee Lekshmi Narayanan authored at least 28 papers between 2021 and 2026.

Collaborative distances:

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

2026

Exploring the Effectiveness of Using LLMs for Automated Assessment of Student Self Explanations in Programming Education.

Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Peter Brusilovsky

CoRR, May, 2026

Knowledge Component-Driven Alignment of CS1 Textbooks and Exercises.

Samantha Boatright Smith, Arun Balajiee Lekshmi Narayanan, Anurata Prabha Hridi, Rafaella Sampaio de Alencar, Bita Akram, Arto Hellas, Juho Leinonen, Peter Brusilovsky, Narges Norouzi

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

2025

A Survey of LLM-Based Applications in Programming Education: Balancing Automation and Human Oversight.

Griffin Pitts, Anurata Prabha Hridi, Arun Balajiee Lekshmi Narayanan

CoRR, October, 2025

How are CS students using resources and AI tools for coding tasks?

Natalia Echeverry, Arun Balajiee Lekshmi Narayanan

CoRR, August, 2025

Generating Effective Distractors for Introductory Programming Challenges: LLMs vs Humans.

Mohammad Hassany, Peter Brusilovsky, Jaromír Savelka, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Arav Agarwal, Rully Agus Hendrawan

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

Generating Distractors for Code Completion Problems: Can LLM Assist Instructors?

Mohammad Hassany, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan, Arav Agarwal, Jaromír Savelka, Peter Brusilovsky

Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

SelfCode 2.0: An Annotated Corpus of Student and Expert Line-by-Line Explanations of Code Examples for Automated Assessment.

Jeevan Chapagain, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu, Peter Brusilovsky, Vasile Rus

Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

Can Motivated Students Do More Activities?

Arun Balajiee Lekshmi Narayanan, Michael W. Asher, Peter Brusilovsky, Paulo F. Carvalho

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

A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents.

Jean Vassoyan, Anan Schütt, Jill-Jênn Vie, Arun Balajiee Lekshmi Narayanan, Elisabeth André, Nicolas Vayatis

CoRR, 2024

Towards Scalable Automated Grading: Leveraging Large Language Models for Conceptual Question Evaluation in Engineering.

Rujun Gao, Xiaosu Guo, Xiaodi Li, Arun Balajiee Lekshmi Narayanan, Naveen Thomas, Arun R. Srinivasa

CoRR, 2024

Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers.

Aysa Xuemo Fan, Arun Balajiee Lekshmi Narayanan, Mohammad Hassany, Jiaze Ke

CoRR, 2024

Explaining Code Examples in Introductory Programming Courses: LLM vs Humans.

Arun Balajiee Lekshmi Narayanan, Priti Oli, Jeevan Chapagain, Mohammad Hassany, Rabin Banjade, Peter Brusilovsky, Vasile Rus

CoRR, 2024

Explanations in Open User Models for Personalized Information Exploration.

Rully Agus Hendrawan, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Jordan Barria-Pineda

Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Exploring The Effectiveness of Reading vs. Tutoring For Enhancing Code Comprehension For Novices.

Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky, Vasile Rus

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Authoring Worked Examples for JAVA Programming with Human AI Collaboration.

Mohammad Hassany, Jiaze Ke, Peter Brusilovsky, Arun Balajiee Lekshmi Narayanan, Kamil Akhuseyinoglu

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Human-AI Co-Creation of Worked Examples for Programming Classes.

Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan

Proceedings of the Joint Proceedings of the ACM IUI 2024 Workshops co-located with the 29th Annual ACM Conference on Intelligent User Interfaces (IUI 2024), 2024

Evaluating Correctness of Student Code Explanations: Challenges and Solutions.

Arun Balajiee Lekshmi Narayanan, Peter Brusilvosky

Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 2024

An Approach to Detect Abnormal Submissions for CodeWorkout Dataset.

Alex Hicks, Yang Shi, Arun Balajiee Lekshmi Narayanan, Wei Yan, Samiha Marwan

Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 2024

Engaging an LLM to Explain Worked Examples for Java Programming: Prompt Engineering and a Feasibility Study.

Mohammad Hassany, Peter Brusilovsky, Jiaze Ke, Kamil Akhuseyinoglu, Arun Balajiee Lekshmi Narayanan

Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

2023

SelfCode 2.0: Annotated Corpus of Student Self-Explanations to Introductory JAVA Programs in Computer Science.

Arun Balajiee Lekshmi Narayanan, Jeevan Chapagain, Peter Brusilovsky, Vasile Rus

Dataset, December, 2023

Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions.

Arun Balajiee Lekshmi Narayanan, Rully Agus Hendrawan, Venktesh V

CoRR, 2023

Help Me Read! Expanding Students' Reading with Wikipedia Articles.

Arun Balajiee Lekshmi Narayanan, Khushboo Thaker, Peter Brusilovsky, Jordan Barria-Pineda

Proceedings of the 16th International Conference on Educational Data Mining, 2023

GenQ: Automated Question Generation to Support Caregivers While Reading Stories with Children.

Arun Balajiee Lekshmi Narayanan, Ligia E. Gómez, Martha Michelle Soto Fernandez, Tri Nguyen, Chris Blais, Maria Adelaida Restrepo, Arthur M. Glenberg

Proceedings of the XI Latin American Conference on Human Computer Interaction, 2023

Improving Code Comprehension Through Scaffolded Self-explanations.

Priti Oli, Rabin Banjade, Arun Balajiee Lekshmi Narayanan, Jeevan Chapagain, Lasang Jimba Tamang, Peter Brusilovsky, Vasile Rus

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Augmenting Digital Textbooks with Reusable Smart Learning Content: Solutions and Challenges.

Jordan Barria-Pineda, Arun Balajiee Lekshmi Narayanan, Peter Brusilovsky

Proceedings of the Fourth International Workshop on Intelligent Textbooks 2022 co-located with 23d International Conference on Artificial Intelligence in Education (AIED 2022), 2022

2021

A Pipeline for Integrated Theory and Data-Driven Modeling of Biomedical Data.

Vineet K. Raghu, Xiaoyu Ge, Arun Balajiee, Daniel J. Shirer, Isha Das, Panayiotis V. Benos, Panos K. Chrysanthis

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Let's Talk It Out: A Chatbot for Effective Study Habit Behavioral Change.

Xiaoyi Tian, Zak Risha, Ishrat Ahmed, Arun Balajiee Lekshmi Narayanan, Jacob T. Biehl

Proc. ACM Hum. Comput. Interact., 2021

Parent-EMBRACE: An Adaptive Dialogic Reading Intervention.

Arun Balajiee Lekshmi Narayanan, Ju Eun Lim, Tri Nguyen, Ligia E. Gómez, M. Adelaida Restrepo, Chris Blais, Arthur M. Glenberg, Erin Walker

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021