TY - JOUR
T1 - Exploring Artificial Intelligence Tools and Their Potential Impact to Instructional Design Workflows and Organizational Systems
AU - Bolick, Alexis Danielle
AU - da Silva, Rafael Leonardo
N1 - Publisher Copyright:
© 2023, Association for Educational Communications & Technology.
PY - 2024/1
Y1 - 2024/1
N2 - This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation processes. We also consider, in our analysis, challenges and ethical considerations associated with the integration of AI in instructional design workflows. Our explorations and findings suggest that AI holds significant potential for improving content creation processes for instructional design, allowing instructional designers more time for higher order thinking tasks and ensuring content quality. Considerations of AI’s possibilities and limitations were also identified as crucial to ensure quality of content and ethical use. Furthermore, we conclude that AI prompt engineering is an important skill in AI-assisted ID workflows. This article contributes to the ongoing discourse on the intersection of AI and instructional design practice and suggests possible opportunities for subsequent empirical research.
AB - This article explores the potential impact of Artificial Intelligence (AI) tools on Instructional Design (ID) workflows and organizations from a systems thinking perspective (Meadows, 2008). We provide an in-depth analysis of how three AI tools, ChatGPT, Midjourney, and Descript, can enhance efficiency in instructional design content creation processes. We also consider, in our analysis, challenges and ethical considerations associated with the integration of AI in instructional design workflows. Our explorations and findings suggest that AI holds significant potential for improving content creation processes for instructional design, allowing instructional designers more time for higher order thinking tasks and ensuring content quality. Considerations of AI’s possibilities and limitations were also identified as crucial to ensure quality of content and ethical use. Furthermore, we conclude that AI prompt engineering is an important skill in AI-assisted ID workflows. This article contributes to the ongoing discourse on the intersection of AI and instructional design practice and suggests possible opportunities for subsequent empirical research.
KW - AI
KW - AI ethical considerations
KW - Artificial intelligence
KW - Content creation
KW - E-learning
KW - Generative AI
KW - Generative artificial intelligence
KW - Instructional design
KW - Instructional design workflows
UR - http://www.scopus.com/inward/record.url?scp=85176013016&partnerID=8YFLogxK
UR - https://scholarworks.boisestate.edu/ipt_facpubs/147
U2 - 10.1007/s11528-023-00894-2
DO - 10.1007/s11528-023-00894-2
M3 - Article
SN - 8756-3894
VL - 68
SP - 91
EP - 100
JO - TechTrends
JF - TechTrends
IS - 1
ER -