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 (AIED (2), 2021)

Let's Talk It Out: A Chatbot for Effective Study Habit Behavioral Change. - Xiaoyi Tian 001; Zak Risha; Ishrat Ahmed; Arun Balajiee Lekshmi Narayanan; Jacob T. Biehl (Proc. ACM Hum. Comput. Interact., 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)

Augmenting Digital Textbooks with Reusable Smart Learning Content: Solutions and Challenges. - Jordan Barria-Pineda; Arun Balajiee Lekshmi Narayanan; Peter Brusilovsky (iTextbooks@AIED, 2022)

Improving Code Comprehension Through Scaffolded Self-explanations. - Priti Oli; Rabin Banjade; Arun Balajiee Lekshmi Narayanan; Jeevan Chapagain; Lasang Jimba Tamang; Peter Brusilovsky; Vasile Rus (AIED (Posters/Late Breaking Results/...), 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 (CLIHC, 2023)

Help Me Read! Expanding Students' Reading with Wikipedia Articles. - Arun Balajiee Lekshmi Narayanan; Khushboo Thaker; Peter Brusilovsky; Jordan Barria-Pineda (EDM, 2023)

Enhancing Programming eTextbooks with ChatGPT Generated Counterfactual-Thinking-Inspired Questions. - Arun Balajiee Lekshmi Narayanan; Rully Agus Hendrawan; Venktesh V (CoRR, 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 (Zenodo, 2023)

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 (HEXED/L3MNGET@EDM, 2024)

An Approach to Detect Abnormal Submissions for CodeWorkout Dataset. - Alex Hicks; Yang Shi 004; Arun Balajiee Lekshmi Narayanan; Wei Yan; Samiha Marwan (CSEDM@EDM, 2024)

Evaluating Correctness of Student Code Explanations: Challenges and Solutions. - Arun Balajiee Lekshmi Narayanan; Peter Brusilvosky (CSEDM@EDM, 2024)

Human-AI Co-Creation of Worked Examples for Programming Classes. - Mohammad Hassany; Peter Brusilovsky; Jiaze Ke; Kamil Akhuseyinoglu; Arun Balajiee Lekshmi Narayanan (IUI Workshops, 2024)

Authoring Worked Examples for JAVA Programming with Human AI Collaboration. - Mohammad Hassany; Jiaze Ke; Peter Brusilovsky; Arun Balajiee Lekshmi Narayanan; Kamil Akhuseyinoglu (SAC, 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 (SAC, 2024)

Explanations in Open User Models for Personalized Information Exploration. - Rully Agus Hendrawan; Peter Brusilovsky; Arun Balajiee Lekshmi Narayanan; Jordan Barria-Pineda (UMAP (Adjunct Publication), 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)

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)

Towards Scalable Automated Grading: Leveraging Large Language Models for Conceptual Question Evaluation in Engineering. - Rujun Gao; Xiaosu Guo; Xiaodi Li 002; Arun Balajiee Lekshmi Narayanan; Naveen Thomas; Arun R. Srinivasa (CoRR, 2024)

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 (FLAIRS, 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 (FLAIRS, 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 (LAK, 2025)