Publication

Journal Papers

1.  (Under review) Rani, N., Le, V.M.A., Mijares, J., & Aggarwal, A. (2025) Who Seeks AI Help? Student Characteristics and Performance Outcomes with LLM-Based Programming Assistant. In the International Journal of Information and Education Technology.

2.   (Under review) Ritzhaupt D. A., Cardenas, J,. Prashad, P., Hackey K., Rani, N, & Feijóo-García, P. G Design, development, and preliminary validity and reliability evidence of the Software Engineering Self-Efficacy Scale (SESES). In Journal of Systems & Software.

3.  (Accepted) Rani, N., Majumdar, S., Bhardwaj, I., & Feijóo-García, P.G. (2025) Can AI support student engagement in classroom activities in higher education? In the International Journal of Information and Education Technology

4. Feijóo-García, P. G., Centner, J. D., Zangari, L. G., Wrenn, C. G., Rani, N., Sánchez-Gómez, J. S., & Omojokun, O. Lights, Camera... Learning? Exploring Student Engagement with Video-Based Assessments in a Large Software Engineering Course. In Frontiers in Education (Vol. 11, p. 1834571). Frontiers.

5. Chu, S.L., Karcz, M., Hasky, A., Rani, N., Chaspari, T., Arthur, & W., Ragan (2024) User Judgment of an AI Model is Biased by its Description: A Study in a Job Interview Training Context. In the International Journal of Human-Computer Studies.

6. Sakib, M.N., Hagen, E., Mazza, N., Rani, N., Nirjhar, E.H., Chu, S.L., Chaspari, T., Behzadan, A.H., & Arthur Jr, W. (2024). Capitalizing on strengths and minimizing weaknesses of veterans in civilian employment interviews: Perceptions of interviewers and veteran interviewees. Military Psychology, pp.1-13.

7.  Rani, N, & Chu, S. L. (2024). Supporting Lifelong Learning: Comparing an In-Situ and a Post Hoc Approach to Support Everyday Question-Asking. In Journal of Educational Technology & Society, 27(2).

8. Chu, S. L., Garcia, B. M., & Rani, N. (2023). Research on Wearable Technologies for Learning: A Systematic Review. In Frontiers in Education (Vol. 8, p. 1270389). Frontiers Media SA.

9. Rani, N., Chu, S. L. & Li, Q. (2021). Exploring User Micro-behaviors with Five Wearable Device Types in Everyday Information-seeking Scenarios. In the International Journal of Human-Computer Interaction.

10.   Rani, N., & Chu, S. L. (2021). Wearables Can Help Me Learn: A Survey of User Perception of Wearable Technologies for Learning in Everyday Life. In Education and Information Technologies.

Conference Papers

1. (Accepted) Rani, N., Le, V.M, A, Spangler, A. & Cenko, E. (July 2026) Cognitive Skills in the Age of AI: Computing Students' and Experts' Perceptions. In 2026 IEEE International Conference on Advanced Learning Technologies (ICALT)

2. (Accepted) Pitts, G., Rani, N. & Mildort, W. (2026). Trust and Appropriate Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators. In 27th International Conference on Artificial Intelligence in Education.

3. (Accepted) Schroeder, N., Yamoah, K., Dorley, E., Rani, N. & Schutz, C. (2026). Fine-Tuning A Large Language Model for Systematic Review Screening. In the 27th International Conference on Artificial Intelligence in Education.

4. (Accepted) Kulkarni, A., Rani, N., & Chu, S. L. (2026). Toward AI Tutors for Interest-Based Learning: Learning from Human Educators for AI Prompt Design. In ACM Conversational AI: Agency and Identities.

5. Rani, N., Cenko, E. & Cruz-Castro, L. M. (2026). Perceived Importance of Cognitive Skills Among Computing Students in the Era of AI. In 2026 ASEE Annual Conference & Exposition.

6. Rani, N. & Singh, S. (2026). Factors of AI Acceptance in Educational Context: A Systematic Review. In 2026 ASEE Annual Conference & Exposition.

7. Rani, N., Munangi, J., Spangler, A. & Honeycutt, D. (2026). Engineering Students' Usage of GitHub Copilot in Open-Source Projects. In 2026 ASEE Annual Conference & Exposition.

8. Feijóo-García, P.G., Centner, J. D., Zangari L.G., Wrenn C.G., Rani, N., & Omojokun, O. (2025) Exploring Students' Insights on Creating Videos to Learn Software Design and Engineering. In IEEE Frontiers in Education Conference (FIE 2025)

9. Rani, N., Kantamani, S. & Chu, S. L. (2025, July). Exploring the Impact of User Feedback for Trust in Context-Aware Recommender Systems in Search-As-Learning. In International Conference on Human-Computer Interaction (pp. 83-99). Springer, Cham.

10. Rani, N., Qian, Y., & Chu, S. L. (2023, July). Explanation for User Trust in Context-Aware Recommender Systems for Search-As-Learning. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 47-49). IEEE.

11. Rani, N., & Chu, S. L. (2023, July). Does the Type of Recommender System Impact Users' Trust? Exploring Context-Aware Recommender Systems in Education. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 41-43). IEEE.

12.   Nirjhar, E. H., Sakib, M. N., Hagen, E., Rani, N., Chu, S. L., Arthur, W., Behzadan, A.H., & Chaspari, T. (2022, October). Investigating the Interplay Between Self-Reported and Bio-Behavioral Measures of Stress: A Pilot Study of Civilian Job Interviews with Military Veterans. In 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII) (pp. 1-8). IEEE.

13.   Rani, N., & Chu, S. L. (2021, July). User Perception of Wearables in Everyday Learning Contexts: The Impact of Prior Device Experience. In International Conference on Human-Computer Interaction (pp. 361-373). Springer, Cham.

14. Brown, S. A., Chu, S. L., & Rani, N. (2020, September). Externalizing Mental Images by Harnessing Size-Describing Gestures: Design Implications for a Visualization System. In Proceedings of the International Conference on Advanced Visual Interfaces (pp. 1-9). [Awarded honorable mention for best paper]

15. Pitts, G., Rani, N., Mildort, W., & Cook, E. (2025). "Students' Reliance on AI in Higher Education: Identifying Contributing Factors" In International Conference on Human-Computer Interaction. Springer, Cham.

16. Cenko, E., & Rani, N. (2025). Reframing Aging Through AI-Generated Patient Simulations in Pre-Medical Education. Innovation in Aging, 9(Supplement_2), igaf122-409.

17.  Rani, N. (2023, July). Investigating Trust in Context-Aware Recommender System in Education. Doctoral Consortium track. In 2023 IEEE International Conference on Advanced Learning Technologies (ICALT) (pp. 370-372). IEEE.

18.  Rani, N, Chu, S. L., & Mei R. V. (2022, April) Investigating the Effects of Different Levels of User Control on the Effectiveness of Context-Aware Recommender Systems for Web-Based Search. In Late Breaking Work 2022 CHI Conference on Human Factors in Computing Systems. 

19.   Hagen, E, Sakib,M.N., Rani, N, Nirjhar,E.H., Nenkova, A.N., Chaspari,T, Chu, S.L., Behzadan,A.H., & Arthur, W. Jr. (2022, March) Interviewer Perceptions of Veterans in Civilian Employment Interviews and Suggested Interventions. In 62nd International Military Testing Association Conference.

20.  Rani, N., Chu, S. L., Williamson, Y.G, & Wu, S. (2021, May) Curiosity inspired learning: Insitu versus Post-Event Approaches to Recall and Reflection. In Late Breaking Work 2021 CHI Conference on Human Factors in Computing Systems. 

21. Brown, S. A., Chu, S. L., & Rani, N. (2020, April). Harnessing Gestures to Externalize Discourse Ideas for Common Ground: Design Implications from a Frame of Reference Analysis. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-8).