The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Professionally Ethical Ways to Harness an Art-Making Generative AI to Support Innovative Instructional Design Work
Abstract
Instructional designers often pride themselves on using the most cutting-edge commercial authoring and other tools available to achieve their work. Their creations have to meet high technical standards in order to function in a digital environment, in learning management systems, content management systems, on social media, on digital content platforms, and others. In the present moment, generative AI tools enable the making of novel texts and digital visuals, among others. A major extant question is how best to harness generative art-making AIs in instructional design work. In this case, this work explores professionally ethical (and legal) ways to use a generative art-making AIs for ID work, as an innovative approach based on a review of the literature, a year of using several free web-facing art-making generative AIs (CrAIyon, Deep Dream Generator, and others) in open or public beta, and learning from applied instructional design work (over several decades).
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|