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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

GenAI-Driven Game and Viva Assessments for Software Engineering

Datta, Soma·2026·2026 IEEE Global Engineering Education Conference (EDUCON)

Overview

Integrity signals

Registry

Crossref · 10.1109/educon67543.2026.11574097

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

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Citations

Cites

Show all 2 references

Research works printed but not linked: 8

  1. Hayashi, 2024, ChatGPT for Self-Reflection in Software Engineering
  2. Jackson, 2025, Exploring GenAI in Software Development
  3. Johri, 2025, Lessons for GenAI Literacy in Workplace Learning
  4. Mellqvist, 2024, Exploring Student Perspectives on GenAI in SE
  5. Namiot, 2025, On the Architecture of LLM Agents in SE
  6. Pulikal, 2024, A Paradigm Shift in Educational Content Creation
  7. Ramanan, 2024, ASPIRE: AI for Code Analysis and Repair
  8. Wang, 2024, Assessing UML Models Using ChatGPT

Cited by

Still being checked.

Metadata

Authors
Datta, S.
Affiliations
University of Houston (US)
Corresponding author
Datta, Soma
Venue
2026 IEEE Global Engineering Education Conference (EDUCON)
Publisher
IEEE
Published
2026-04-27
Pages
1-3
OpenAlex
W7166544403
Cited by
0
References
2
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Locations
IEEE Global Engineering Education Conference (EDUCON) (publishedVersion)
Topics
  • Social Sciences › Psychology › Developmental and Educational Psychology › Educational Games and Gamification
  • Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
  • Physical Sciences › Computer Science › Information Systems › Educational Technology and Assessment
Keywords
generative AI, game-based assessment, software engineering education, automated assessment, AI-assisted learning

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This page
CoChat. (2026). Citation check: GenAI-Driven Game and Viva Assessments for Software Engineering. https://app.cochat.ai/papers/10.1109/educon67543.2026.11574097
The paper
Datta, S. (2026). GenAI-Driven Game and Viva Assessments for Software Engineering. 2026 IEEE Global Engineering Education Conference (EDUCON). https://doi.org/10.1109/educon67543.2026.11574097

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.