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Generative AI P3: Collaborative Inquiry Into AI and Higher Education - The Conclusion
Manage episode 362905408 series 2808139
Spill the tea - we want to hear from you!
This study was shared on May 4 at Middlesex University Dubai at the 2nd International Conference on Technology, Innovation and Sustainability in Business Management (ICTIS 2023).
Find more information: https://www.mdx.ac.ae/ictis2023.
AIMS OF STUDY
The aim of this auto-ethnographic study is to provide insight into the lived experiences of higher education faculty in their attempt to design a new educational module with an advertising/marketing specialism making the best use of Artificial Intelligence (A.I.). This is in light of increasingly prevalent social robots, such as ChatGPT4, Dall-E, Designer etc., which are particularly disruptive within the field of advertising. The acceleration of A.I. applications across various fields of content creation has elevated the importance of a graduate’s self-efficacy in working with A.I. in terms of employability.
The auto-ethnography will be presented in the form of an evocative narrative and will share feelings, hopes, aesthetic reactions, and moral dispositions.
As befitting a rigorous institutional auto-ethnography, the study will aim to explore the following research questions:
- Can AI be used to help develop teaching and learning materials?
- How should we teach AI to advertising students?
- What are the most effective and useful programs that infuse AI concepts within an advertising curriculum?
The authors are both affiliated with Middlesex University Dubai:
- Stephen King, Senior Fellow HEA, Senior Lecturer in Media
- Judhi Prasetyo, PhD Candidate, Senior Lecturer in Computing, Informatics and Engineering
Correspondence via s.king@mdx.ac.ae.
Kapitler
1. Generative AI P3: Collaborative Inquiry Into AI and Higher Education - The Conclusion (00:00:00)
2. Podcast Introduction (00:01:12)
3. Start of podcast (00:02:18)
66 episoder
Manage episode 362905408 series 2808139
Spill the tea - we want to hear from you!
This study was shared on May 4 at Middlesex University Dubai at the 2nd International Conference on Technology, Innovation and Sustainability in Business Management (ICTIS 2023).
Find more information: https://www.mdx.ac.ae/ictis2023.
AIMS OF STUDY
The aim of this auto-ethnographic study is to provide insight into the lived experiences of higher education faculty in their attempt to design a new educational module with an advertising/marketing specialism making the best use of Artificial Intelligence (A.I.). This is in light of increasingly prevalent social robots, such as ChatGPT4, Dall-E, Designer etc., which are particularly disruptive within the field of advertising. The acceleration of A.I. applications across various fields of content creation has elevated the importance of a graduate’s self-efficacy in working with A.I. in terms of employability.
The auto-ethnography will be presented in the form of an evocative narrative and will share feelings, hopes, aesthetic reactions, and moral dispositions.
As befitting a rigorous institutional auto-ethnography, the study will aim to explore the following research questions:
- Can AI be used to help develop teaching and learning materials?
- How should we teach AI to advertising students?
- What are the most effective and useful programs that infuse AI concepts within an advertising curriculum?
The authors are both affiliated with Middlesex University Dubai:
- Stephen King, Senior Fellow HEA, Senior Lecturer in Media
- Judhi Prasetyo, PhD Candidate, Senior Lecturer in Computing, Informatics and Engineering
Correspondence via s.king@mdx.ac.ae.
Kapitler
1. Generative AI P3: Collaborative Inquiry Into AI and Higher Education - The Conclusion (00:00:00)
2. Podcast Introduction (00:01:12)
3. Start of podcast (00:02:18)
66 episoder
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