Ranjidha Rajan

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Ranjidha Rajan

Assistant Professor of Computer Sciences

Computer Sciences

Office Hours

Spring 2026 Office Hours
M/W - 1 PM to 3 PM, In-person /MS Teams

Biography

EdD (Learning Analytics), MS and MPhil in Computer Science, 10+ years of experience in teaching Graduate and Undergraduate students.

Research Interests

    My research interests are AI in Education, Learning Analytics, Data Science, and Visualization.

Teaching Interests

    I am passionate about teaching programming languages, algorithms, data science, and AI.

Education

EdD in Learning Analytics

National University

Other in Data Analysis

IIIT Bangalore,India

MS in Computer Science

Bharathiar University Coimbatore

BS in Physics

M G University

Published Works

    Geinitz, R. S., Rajan, R., Peprah, K., Schmidt, C. K., Singh, S., Jay, M. S. (). Generative AI as a Tool for Learning: Higher Education Student Perceptions and Performance across Disciplines. Springer. Rajan, R., C, R. (2024). Ethical Integration in Computer Science Education: Leveraging Open Educational Resources and Generative Artificial Intelligence for Enhanced Learning.. IEEE/PPIG. Rajan, R. (2023). The pragmatism of evolving social presence in online discussion forums. ProQuest Dissertations & Theses A&I. McKinney, L., Sinley, C. R., Daughtrey, C., Ansburg, P., Rajan, R., Meyer, J., Lopez, R. J., Eaker, L. R. (2021). Faculty Are Our Allies in Teaching Career Preparation and Readiness Skills. National Association of Colleges and Employers Journal, www.naceweb.org Ansburg, P., Daughtrey, C., Eaker, L. R., Lopez, R. J., McKinney, L., Meyer, J., Rajan, R., Sinley, C. R. (2021, April (2nd Quarter/Spring)). Who should teach career preparation and career readiness skills?. Marketing Educators' Association Conference Proceedings 2021. Arundhathi, B., Athira, A., Rajan, R. (2017). A Study on Mutual Information-Based Feature Selection in Classifiers. (pp 479-486). Springer Singapore. https://doi.org/10.1007/978-981-10-3174-8_40 Rajan, R. . A study on Mutual Information-based Feature Selection in Classifiers. . Springer Publications, Rajan, R. (2017). An extensive study on data thinning in single and ensemble classifiers. International Journal of Pure and Applied Mathematics, Academic Publications.