SPIRAL integration of generative AI in an undergraduate creative media course: effects on self-efficacy and career outcome expectations
Project Overview
The document examines the incorporation of generative AI into an undergraduate creative media course through a SPIRAL instructional strategy, which prioritizes skill development prior to the introduction of AI tools. The study evaluates the effects of this integration on students’ self-efficacy and expectations regarding career outcomes. Results indicate a significant positive change in students' self-efficacy in creative media, alongside more nuanced perceptions of AI's influence on their future careers. These findings highlight that when generative AI is thoughtfully integrated into educational settings, it not only enhances students' confidence in their creative abilities but also broadens their understanding of potential career paths influenced by AI technologies. The research advocates for a careful and ethical approach to using generative AI in education, suggesting that such practices can foster critical thinking and adaptability among students as they navigate the evolving landscape of creative professions.
Key Applications
SPIRAL integration of generative AI in an undergraduate creative media course
Context: Undergraduate course in creative media and technology for New Media majors and non-majors
Implementation: Students first developed domain skills without AI, then revisited tasks with generative AI, receiving critical and ethical instruction.
Outcomes: Increased self-efficacy in creative media tasks and generative AI use. Students reported mixed changes in perceptions of AI's impact on their careers.
Challenges: Concerns about AI's ethical implications, potential equity gaps, and over-reliance leading to an 'illusion of competence'.
Implementation Barriers
Ethical and Equity Concerns
Generative AI tools may increase equity gaps, favoring more privileged learners who can leverage these tools effectively.
Proposed Solutions: Implement instructional strategies that ensure all students build foundational skills before integrating AI tools.
Over-reliance on AI
Students may develop an over-reliance on generative AI, potentially hindering their learning process and understanding.
Proposed Solutions: Utilize a SPIRAL approach to first establish domain skills without AI before introducing AI tools for critical use.
Project Team
Troy Schotter
Researcher
Saba Kawas
Researcher
James Prather
Researcher
Juho Leinonen
Researcher
Jon Ippolito
Researcher
Greg L Nelson
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Troy Schotter, Saba Kawas, James Prather, Juho Leinonen, Jon Ippolito, Greg L Nelson
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