ArchiGuesser -- AI Art Architecture Educational Game
Project Overview
The document explores the transformative potential of generative AI in education, highlighting the innovative multisensory educational game ArchiGuesser, which employs diverse AI technologies to teach architectural history in an engaging and interactive way. By dynamically generating content, ArchiGuesser not only enhances the learning experience but also fosters creativity among students, making the educational process more immersive. Furthermore, the game addresses concerns regarding student misuse of AI technologies by providing a structured and constructive environment for interaction with AI, ultimately showcasing how generative AI can effectively support educational objectives and promote deeper understanding in a subject matter that may otherwise be perceived as dry or challenging. Overall, the findings suggest that incorporating generative AI in educational tools can lead to more effective and enjoyable learning experiences, paving the way for future applications in various academic domains.
Key Applications
ArchiGuesser - AI Art Architecture Educational Game
Context: Educational game designed to teach students about architectural styles and history.
Implementation: The game combines AI technologies such as large language models, image generation (Midjourney), and computer vision (OpenCV) to create a multisensory experience. Students guess architectural styles based on generated images or poems and interact with 3D-printed objects.
Outcomes: Enhances learning through engagement, promotes creativity, and helps students understand architectural diversity without cultural bias.
Challenges: Potential threats of misuse by students and guaranteeing the accuracy of AI-generated content.
Implementation Barriers
Technological
Challenges in ensuring the accuracy and reliability of AI-generated content.
Proposed Solutions: Careful curation of AI-generated responses and validation through control questions.
Ethical
Concerns regarding student misuse of generative AI technologies.
Proposed Solutions: Implementing guidelines and educational frameworks to promote responsible use of AI.
Project Team
Joern Ploennigs
Researcher
Markus Berger
Researcher
Eva Carnein
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Joern Ploennigs, Markus Berger, Eva Carnein
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