MiBoard: Multiplayer Interactive Board Game
Project Overview
The document explores the application of generative AI in education, highlighting the creation of MiBoard, a multiplayer serious game designed to boost student engagement through interactive gameplay. MiBoard extends the iSTART Intelligent Tutoring System, focusing on enhancing students' comprehension and reading strategies by encouraging self-explanation and peer feedback. By merging entertainment with educational elements, the game aims to motivate students, increase their time spent on learning activities, and ultimately improve their educational outcomes. The findings indicate that such innovative applications of generative AI not only make learning more enjoyable but also effectively enhance overall learning effectiveness, showing promise for broader implementation in educational settings.
Key Applications
MiBoard: Multiplayer Interactive Board Game
Context: Educational context for psychology and computer science students focusing on reading strategies and comprehension.
Implementation: Developed as an extension of the iSTART Intelligent Tutoring System, incorporating multiplayer interactions.
Outcomes: Increased student engagement, motivation, and effectiveness in applying reading strategies leading to better comprehension of texts.
Challenges: Balancing game entertainment with educational value, ensuring sustained motivation over long-term use.
Implementation Barriers
Technical
The need for an automated comprehension check within the game to assess reading strategy application.
Proposed Solutions: Encouraging player discussion and peer feedback as part of the gameplay to enhance understanding and application of strategies.
Project Team
Kyle B. Dempsey
Researcher
Justin F. Brunelle
Researcher
G. Tanner Jackson
Researcher
Chutima Boonthum
Researcher
Irwin B. Levinstein
Researcher
Danielle S. McNamara
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Kyle B. Dempsey, Justin F. Brunelle, G. Tanner Jackson, Chutima Boonthum, Irwin B. Levinstein, Danielle S. McNamara
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai