Adapting Program Assessment for the Age of Generative AI
Michael Verdicchio, "Adapting Program Assessment for the Age of Generative AI." In the proceedings of 2025 IEEE Engineering Education World Conference (EDUNINE), 2025.
CV
Full CV (pdf)
Education
- PhD in Computer Science, Arizona State University, 2013
- BSE in Computer Engineering, Arizona State University, 2006
Appointments
- 2017- : Associate Professor (with tenure), The Citadel
- 2011- : Affiliate Faculty, College of Charleston
- 2011-2017: Assistant Professor, The Citadel
- 2008-2011: Graduate Research Associate, Arizona State University
- 2008-2011: Faculty Associate, Arizona State University
- 2006-2010: Graduate Teaching Associate, Arizona State University
Teaching
At The Citadel, I have taught many sections of the following courses since 2011.
- CSCI 103 Survey of Computer Science
- CSCI 110 Microcomputer Applications
- CSCI 201 Intro to Computer Science I
- CSCI 202 Intro to Computer Science II
- CSCI 205 Intro to Programming W/ Python
- CSCI 210 Intro to Information Systems
- CSCI 211 Intro to Comp Science I Lab
- CSCI 223 Data Structures and Algorithms
- CSCI 290 Intro to Information Systems
- CSCI 305 Computer Organization Programming
- CSCI 355 Programming Languages
- CSCI 399 Junior Research Project
- CSCI 420 Software Engineering
- CSCI 421 Software Engineering Practicum
- CSCI 491 Internship in Computer Science
- CSCI 495 Senior Seminar
- CSCI 499 Senior Research Project
- CSCI 602 Foundations of Software Engineering
- CSCI 636 IT Policy Strategy Governance
- CSCI 654 Software Requirements Analysis
- CSCI 658 Software Testing Maintenance
- CSCI 690 Special Topics: Software Deployment and Operations
- CSCI 691 Independent Study
- HONR 400 Honors Research Project I
- LDRS 411 Sr Leadership Integration Seminar
Publications
Generating Multi-Part Autogradable Faded Parsons Problems From Code-Writing Exercises
Serena Caraco, Nelson Lojo, Michael Verdicchio, Armando Fox, "Generating Multi-Part Autogradable Faded Parsons Problems From Code-Writing Exercises." In the proceedings of Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1, 2024.
Hurricanes and pandemics: An experience report on adapting software engineering courses to ensure continuity of instruction
Michael Verdicchio, "Hurricanes and pandemics: An experience report on adapting software engineering courses to ensure continuity of instruction." In the proceedings of Journal of Computing Sciences in Colleges, 2021.
Students' Perception of a Summer Undergraduate Research Experience: Across the Disciplines
S. Ghanat, D. Garner, J. Howison, R. Hunter, B. Baker, S. Banik, M. Verdicchio, N. Washuta, "Students' Perception of a Summer Undergraduate Research Experience: Across the Disciplines." In the proceedings of ASEE Annual Conference & Exposition, 2018.
Multicast Routing using Delay Intervals for Collaborative and Competitive Applications
James Andrus, Shankar Banik, Breeanne Swart, Michael Verdicchio, "Multicast Routing using Delay Intervals for Collaborative and Competitive Applications." IEEE Transactions on Communications, 2018.
Explorations in Computer Science, 3rd. Ed.
R.M. Meyer, M. Verdicchio, "Explorations in Computer Science, 3rd. Ed.." Explorations in Computer Science, 3rd. Ed., 2016.
Embedding cybersecurity in the second programming course (CS2)
Michael Verdicchio, Deepti Joshi, Shankar Banik, "Embedding cybersecurity in the second programming course (CS2)." In the proceedings of Journal of Computing Sciences in Colleges, 2016.
Template-based intervention in Boolean network models of biological systems
Michael Verdicchio, Seungchan Kim, "Template-based intervention in Boolean network models of biological systems." EURASIP Journal on Bioinformatics and Systems Biology, 2014.
Learning contextual gene set interaction networks of cancer with condition specificity
Sungwon Jung, Michael Verdicchio, Jeff Kiefer, Daniel Hoff, Michael Berens, Michael Bittner, Seungchan Kim, "Learning contextual gene set interaction networks of cancer with condition specificity." BMC genomics, 2013.
Learning Contextual Gene Set Interaction Networks of Glioblastoma and Identifying Subtype Specificity
Sungwon Jung, Michael Verdicchio, Jeff Kiefer, Michael Berens, Seungchan Kim, "Learning Contextual Gene Set Interaction Networks of Glioblastoma and Identifying Subtype Specificity." In the proceedings of Eighth International Workshop on Computational Systems Biology (WCSB 2011), 2011.
Identifying targets for intervention by analyzing basins of attraction
Michael Verdicchio, Seungchan Kim, "Identifying targets for intervention by analyzing basins of attraction." In the proceedings of Biocomputing 2011, 2011.
Planning interventions in biological networks
Daniel Bryce, Michael Verdicchio, Seungchan Kim, "Planning interventions in biological networks." ACM Transactions on Intelligent Systems and Technology (TIST), 2010.
Context-specific gene regulations in cancer gene expression data
Ina Sen, Michael Verdicchio, Sungwon Jung, Robert Trevino, Michael Bittner, Seungchan Kim, "Context-specific gene regulations in cancer gene expression data." In the proceedings of Biocomputing 2009, 2009.
Talks
Adapting program assessment for the age of generative AI
Conference Proceedings at IEEE Engineering Education World Conference (EDUNINE),
The Impact of AI Tools on Assessment Data
Peer-Reviewed Abstract at ABET Symposium, Tampa, FL
Creating a DevOps course
Poster at ACM Technical Symposium on Computer Science Education (SIGCSE), Toronto, Canada
Effective pedagogical practices in the computer science classroom
Peer-Reviewed Abstract at Consortium for Computing Sciences in Colleges Southeastern Conference, Greenville, SC
Hurricanes and pandemics: An experience report on adapting software engineering courses to ensure continuity of instruction
Conference Proceedings at Consortium for Computing Sciences in Colleges Southeastern Conference,
Embedding cybersecurity in the second programming course (CS2)
Conference Proceedings at Consortium for Computing Sciences in Colleges Southeastern Conference, Furman University
Template-Based Intervention in Boolean Network Models of Biological Systems
Poster at International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, MA
Identifying targets for intervention by analyzing basins of attraction
Conference Proceedings at Pacific Symposium on Biocomputing, Waimea, HI
Identifying targets for intervention by analyzing basins of attraction
Poster at Pacific Symposium on Biocomputing, Waimea, HI
Reverse Engineering and Synthesis of Biomolecular Systems
Peer-Reviewed Abstract at Pacific Symposium on Biocomputing, Waimea, HI
Boolean Network Models of Human Aging
Peer-Reviewed Abstract at 7th Annual Rocky Mountains Bioinformatics Conference, Snowmass, CO
Boolean Network Models of Human Aging
Poster at 7th Annual Rocky Mountains Bioinformatics Conference, Snowmass, CO
An Interactive Environment for Visualizing, Interpreting, and Revising Biological Process Models
Poster at Research in Computational Molecular Biology (RECOMB), Tucson, AZ
Learning Causal Relationships between Genes from Steady State Data: Algorithms, Simulation and Application
Poster at 6th Annual Rocky Mountains Bioinformatics Conference, Snowmass, CO