國立虎尾科技大學 |

Exploring Design Education in the Age of Generative Artificial Intelligence : = Opportunities and Challenges.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Exploring Design Education in the Age of Generative Artificial Intelligence :/
其他題名:	Opportunities and Challenges.
作者:	Chacko, Aakansha Susan.
面頁冊數:	1 online resource (72 pages)
附註:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
標題:	Art education. -
電子資源:	click for full text (PQDT)
ISBN:	9798382395562

Exploring Design Education in the Age of Generative Artificial Intelligence : = Opportunities and Challenges.
Chacko, Aakansha Susan.

Exploring Design Education in the Age of Generative Artificial Intelligence :Opportunities and Challenges. - 1 online resource (72 pages)

Source: Masters Abstracts International, Volume: 85-11.

Thesis (M.A.)--Georgetown University, 2024.

Includes bibliographical references

This thesis aims to understand the implications of Generative Artificial Intelligence (Gen-AI) on design education resulting from the rapid proliferation and advancement of Gen-AI tools over the last year. Having been recognized for its creative opportunities and capacity for efficiency through automation, Gen-AI has been increasingly adopted into professional creative practice. Tools like ChatGPT, Dall-E, and Midjourney can generate written copy and complex visual artifacts in seconds, altering parts of the "traditional" multi-step design process. This calls into question the current status of design pedagogy in relation to evolving technology and the value of a post-secondary design education. The disconnect between design in academia and the evolution of what it means to be a designer in industry is used to highlight the rift between product and process-oriented pedagogical design approaches. While some academic programs train students to be skilled craftsmen, industry increasingly expects technically skilled and interdisciplinary designers. Gen-AI is identified as a potential step towards fixing this product/process split by offering support through the automation of technical design processes and other time-intensive practices, making time to focus on developing the foregone interdisciplinary skills to strengthen design outcomes. This research specifically looks to understand this tension through discussions on Gen-AI's impact on student learning and skill development from a faculty perspective. The semi-structured interviews with twelve design educators from six universities aims to understand faculty's overarching perceptions of Gen-AI, how they navigate the use of Gen-AI within their unique design specializations, and their view of its impact on the future of their design specialization. In our conversations, educators emphasized that Gen-AI's impact is minimal in its current functionality. Furthermore, both faculty and students are still in the experimentation phase of finding ways it works best for their unique needs. However, many faculty did acknowledge the likelihood of Gen-AI evolving the creative process over time by solving certain problems, but also, potentially creating new ones.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798382395562Subjects--Topical Terms:

1179362
Art education.
Subjects--Index Terms:

Design education Index Terms--Genre/Form:

554714
Electronic books.

Exploring Design Education in the Age of Generative Artificial Intelligence : = Opportunities and Challenges.
LDR:03643ntm a22004097 4500 001 1147870
005 20240916075419.5
006 m o d
007 cr bn ---uuuuu
008 250605s2024 xx obm 000 0 eng d
020 $a 9798382395562
035 $a (MiAaPQ)AAI31146697
035 $a AAI31146697
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Chacko, Aakansha Susan. $3 1473702
245 1 0 $a Exploring Design Education in the Age of Generative Artificial Intelligence : $b Opportunities and Challenges.
264 0 $c 2024
300 $a 1 online resource (72 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 85-11.
500 $a Advisor: Barba, Evan.
502 $a Thesis (M.A.)--Georgetown University, 2024.
504 $a Includes bibliographical references
520 $a This thesis aims to understand the implications of Generative Artificial Intelligence (Gen-AI) on design education resulting from the rapid proliferation and advancement of Gen-AI tools over the last year. Having been recognized for its creative opportunities and capacity for efficiency through automation, Gen-AI has been increasingly adopted into professional creative practice. Tools like ChatGPT, Dall-E, and Midjourney can generate written copy and complex visual artifacts in seconds, altering parts of the "traditional" multi-step design process. This calls into question the current status of design pedagogy in relation to evolving technology and the value of a post-secondary design education. The disconnect between design in academia and the evolution of what it means to be a designer in industry is used to highlight the rift between product and process-oriented pedagogical design approaches. While some academic programs train students to be skilled craftsmen, industry increasingly expects technically skilled and interdisciplinary designers. Gen-AI is identified as a potential step towards fixing this product/process split by offering support through the automation of technical design processes and other time-intensive practices, making time to focus on developing the foregone interdisciplinary skills to strengthen design outcomes. This research specifically looks to understand this tension through discussions on Gen-AI's impact on student learning and skill development from a faculty perspective. The semi-structured interviews with twelve design educators from six universities aims to understand faculty's overarching perceptions of Gen-AI, how they navigate the use of Gen-AI within their unique design specializations, and their view of its impact on the future of their design specialization. In our conversations, educators emphasized that Gen-AI's impact is minimal in its current functionality. Furthermore, both faculty and students are still in the experimentation phase of finding ways it works best for their unique needs. However, many faculty did acknowledge the likelihood of Gen-AI evolving the creative process over time by solving certain problems, but also, potentially creating new ones.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Art education. $3 1179362
650 4 $a Education. $3 555912
650 4 $a Design. $3 595500
653 $a Design education
653 $a Interdisciplinary designers
653 $a Design tools
653 $a Generative AI
653 $a Evolving technology
655 7 $a Electronic books. $2 local $3 554714
690 $a 0389
690 $a 0800
690 $a 0515
690 $a 0273
710 2 $a Georgetown University. $b Communication, Culture & Technology. $3 1189407
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Masters Abstracts International $g 85-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31146697 $z click for full text (PQDT)