Exploring the Power of Creative AI Tools and Game-Based Methodologies for Interactive Web-Based Programming
Project Overview
The document explores the transformative potential of generative AI in education, focusing on the integration of Creative AI Tools and Game-Based Methodologies within interactive web-based programming. By leveraging these technologies, educational experiences can become more engaging, personalized, and conducive to active learning. Key applications include enhancing student interaction and motivation through gamification and tailored content delivery. However, the document also emphasizes the ethical considerations that accompany this technological shift, such as concerns regarding privacy, bias, and the risk of superficial engagement. It advocates for thoughtful implementation strategies to ensure that generative AI contributes to meaningful learning outcomes rather than merely serving as a trend. Overall, the findings suggest that when applied judiciously, generative AI can significantly enrich the educational landscape, fostering deeper understanding and retention among students while addressing potential ethical pitfalls.
Key Applications
Integration of Creative AI Tools and Game-Based Methodologies in web programming courses
Context: Web programming education targeting higher education students
Implementation: Utilized web technologies like WebGL, WebGPU, and TensorFlow.js to create game-based projects that serve as instructional tools and assessments.
Outcomes: Enhanced student engagement and technical skills through interactive projects that incorporated AI-driven features.
Challenges: Need for robust technical support, potential disparities in access to technology, and concerns about data privacy and algorithmic bias.
Implementation Barriers
Technical
Disparities in internet connectivity, hardware availability, and software compatibility can impede equitable access to educational resources.
Proposed Solutions: Implementing comprehensive data governance frameworks, ensuring robust technical support systems, and promoting equitable access to necessary technology.
Cognitive Load
Creative AI can overwhelm users with excessive choices and stimuli, leading to decision paralysis.
Proposed Solutions: Curate AI-generated content to provide a manageable number of options and focus on enhancing quality rather than quantity.
Ethical
Concerns regarding data privacy, algorithmic biases, and the displacement of human instructors.
Proposed Solutions: Implementing stringent data protection measures and promoting transparency in AI's role in educational settings.
Project Team
Benjamin Kenwright
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Benjamin Kenwright
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