"Opportunities and Limitations: Integrating Narrative AI into Game-Base" by Kevin B. Patterson

Date of Award

3-2024

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Department of Electrical and Computer Engineering

First Advisor

Mark G. Reith, PhD

Abstract

The Department of Defense (DoD) has identified the need for a technically proficient workforce in the areas of science, technology, engineering, and mathematics. To meet this need, the DoD is actively seeking innovative technology capable of creating workforce development opportunities that are both accessible and effective. Educational research indicates serious games provide a potential avenue to achieve this goal. Unfortunately, a limited number of tools that simplify the game development process and leverage artificial intelligence are available. Content-generating artificial intelligence might help reduce instructor and game-based assessment designers' workloads while promoting individualized learning in students. This research presents a novel tool that utilizes ChatGPT's content generation ability to create narrative game-based assessments and evaluate student impacts. Four instructors used the tool and generated game-based assessments for class use. Data were collected via an instructor survey, student pre/post-assessment surveys, a traditional assessment, and a game-based assessment. Although findings show that ChatGPT narratives result in less engaging and fun experiences, evidence suggests the generated game-based assessments do not produce significantly different scores than traditional assessments. The lack of a significant score difference suggests that game-based assessments are no worse than traditional tests in terms of assessment effectiveness. The generated game-based assessments may also reduce student test anxiety when taking an assessment of appropriate difficulty. The GBA Creation Tool, data collected during this research, and ChatGPT Integration Framework appear beneficial to the game-based assessment research community and the DoD.

AFIT Designator

AFIT-ENG-MS-24-M-024

DTIC Accession Number

AD1318967

Comments

A 12-month embargo was observed for posting this work on AFIT Scholar.

Distribution Statement A, Approved for Public Release. PA case number on file.

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