About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Computer Science and Education in Computer Science. 19th EAI International Conference, CSECS 2023, Boston, MA, USA, June 28–29, 2023, Proceedings

Research Article

Value-Added Grading of AI-Assisted Papers

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-44668-9_31,
        author={Eric Braude},
        title={Value-Added Grading of AI-Assisted Papers},
        proceedings={Computer Science and Education in Computer Science. 19th EAI International Conference, CSECS 2023, Boston, MA, USA, June 28--29, 2023, Proceedings},
        proceedings_a={CSECS},
        year={2023},
        month={10},
        keywords={Assessment IT education Grading Prompt engineering Systems analysis and design AI generation Software development},
        doi={10.1007/978-3-031-44668-9_31}
    }
    
  • Eric Braude
    Year: 2023
    Value-Added Grading of AI-Assisted Papers
    CSECS
    Springer
    DOI: 10.1007/978-3-031-44668-9_31
Eric Braude1,*
  • 1: Boston University, Boston
*Contact email: ebraude@bu.edu

Abstract

The advent of AI generators such as chatGPT is significantly affecting the workplace as well as teaching and learning in higher education. This includes education in systems analysis, design, and programming. Working IT professionals will routinely rely on AI generation, we believe. Consequently, students should learn to leverage AI tools. We describe a way to prepare systems analysts and developers for a professional environment in which AI generation is ubiquitous and we explain an approach to evaluating graduate work prepared with the aid of AI generation. It is based on thevalue addedin students’ work: their chosen prompt sequences and their edits, deletions, and additions to AI-generated material. Although professionals are judged by their products, we believe that value-added will be a key professional goal in the AI-rich environments of the future because it distinguishes the end-products of professionals who better leverage AI.

Keywords
Assessment IT education Grading Prompt engineering Systems analysis and design AI generation Software development
Published
2023-10-11
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-44668-9_31
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL