Shitanshu Mishra

Vanderbilt University

Papers

1

Total Citations

2

H-Index

1

About

Shitanshu Mishra is a researcher whose work lies at the intersection of computing education, collaborative learning, and learning analytics. His primary focus is on understanding how students learn to program, particularly within synchronous, collaborative environments. Mishra’s major contribution is the development of log-based analysis methods to evaluate student learning from project artifacts, moving beyond traditional assessments to capture the nuanced, real-time processes of collaborative coding. His most-cited paper, "Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects" (2020, 2 citations), exemplifies this approach by demonstrating how fine-grained interaction data can reveal insights into individual and group learning trajectories. While his citation count is modest, Mishra’s work is notable for its methodological innovation, offering a framework that other researchers can build upon to design more effective, data-driven educational interventions. His research has practical implications for creating intelligent tutoring systems and collaborative platforms that adapt to student needs, making him a promising voice in the field of computing education research.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Vanderbilt University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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