A curated record of research from Vicharanashala — spanning the work of the Principal Investigator, core team members, research scholars, and collaborators. Our research sits at the intersection of learning design, educational technology, and higher education policy.

1,194PI citations
17h-index
10Working papers
5Open datasets

Selected works

PI Publications

1,194 citations · h-index 17 · i10-index 38 (as of September 2026)
Full profile on Google Scholar →
235citations
Centrality Measures in Complex Networks: A Survey

A. Saxena, S. R. S. Iyengar  ·  arXiv, 2020

61citations
Node-Weighted Centrality: A New Way of Centrality Hybridization

A. Singh, R. R. Singh, S. R. S. Iyengar  ·  Computational Social Networks, 2020

46citations
Understanding Human Navigation Using Network Analysis

S. R. S. Iyengar, C. E. Veni Madhavan, K. A. Zweig, A. Natarajan  ·  Topics in Cognitive Science, 2012

44citations
A Faster Algorithm to Update Betweenness Centrality After Node Alteration

R. R. Singh, K. Goel, S. R. S. Iyengar, S. Gupta  ·  Internet Mathematics, 2015

43citations
Understanding Spreading Patterns on Social Networks Based on Network Topology

A. Saxena, S. R. S. Iyengar, Y. Gupta  ·  IEEE/ACM ASONAM, 2015

25citations
Dynamics of Edit War Sequences in Wikipedia

A. Chhabra, R. Kaur, S. R. S. Iyengar  ·  OpenSym, 2020

In progress

Working Papers, Posters & Reports

From Early Participation to Later Completion: Evidence from a Large-Scale Self-Paced Learning Programme arXiv:2609.34953 arXiv Characterizing Questioning Patterns and Student Engagement Through Contextual Analysis of Real-Time Classroom Interactions arXiv:2609.38907 arXiv Measuring Student Self-Assessment against Viva-Demonstrated Mastery in a Large First-Year Programming Course arXiv:2609.38951 arXiv An Audit of Measurement Quality and Answer Bias in a Large Classroom-Poll Corpus arXiv:2609.38959 arXiv What Students Actually Ask: Demand Structure and Automation Potential in a Hybrid Support System arXiv:2609.38967 arXiv Insights on Student Learning from Live Classroom Polls: More Than Right or Wrong arXiv:2609.38969 arXiv When Attention Guardrails Become Barriers to Learning: Towards the Tipping Point arXiv:2609.39023 arXiv Engagement-Led Segmentation of Gamified Participation Data in a Large-Scale Remote Internship: A Mixed-Methods Study arXiv:2609.39750 arXiv Scaling Peer Assessments: An Integrity Report from a Large Engineering Internship arXiv:2610.01020 arXiv Effects of a Behavioural Commitment Scheme on Study Regularity in a Self-Paced Learning Platform arXiv:2610.02595 arXiv

Open data

Datasets

Openly available datasets released by the lab, each published on several platforms.

Continuous Evaluation in Programming Course: Faculty and Student Logs

Faculty and student logs from a first-year programming course (July to December 2023), in which students worked through a ladder of 60 programming tasks.

2 tables · MIT licence

Kaggle → Hugging Face → AIKosh →
Online Live-Polling Dataset

Attendance and live-poll records from 47 online sessions of an internship programme (May to July 2026), with 604 polls and 340,668 responses from anonymised participants.

6 tables · 2,821 participants · MIT licence

Kaggle → Hugging Face → AIKosh →
Participation Points in a Remote Internship

Participation points, attendance, polls and badges of 4,476 learners in a large online internship programme, 15 May to 14 September 2026.

8 tables · 4,476 learners · MIT licence

Kaggle → Hugging Face → AIKosh →
Verified Active Learning at Scale

De-identified activity records of 10,344 learners in 39 course offerings on ViBe, a verified self-paced learning platform (July 2025 to October 2026): video watching, quiz attempts, webcam proctoring flags, progress and engagement.

31 tables · 10,344 learners · MIT licence

Kaggle → Hugging Face → AIKosh →
Internship Support-Query Resolution Dataset

4,093 helpdesk queries from an online internship programme, each tagged with one of 16 query themes and one of 6 resolution pathways (admin, peer, AI-agent or self-resolved), with no free-text content.

3 tables · 4,093 queries · MIT licence

Kaggle → Hugging Face → AIKosh →

Measurement

Instruments Developed

AI Literacy Benchmarking Instrument
Measures baseline and growth in AI literacy across learner cohorts
Weighted Quality Score (WQS) Rubric
Evaluates instructional content quality for GuruSetu
AI Interview Rubric
Structured evaluation rubric for Samagama/Yaksha internship assessments

Teaching

Courses Designed

Chalkboards to Chatbots Brainstorming with AI Strategic AI Leadership Fundamentals of MERN Stack Fundamentals of AI Using Agriculture Datasets

Focus

Research Areas

Our work spans:

01
Online learning design and active learning systems
02
Faculty professional development at scale
03
AI literacy in higher education
04
Assessment, evaluation, and academic integrity
05
Internship systems and structured student exposure