The role of guided and unguided merging of generative artificial intelligence in design education to enhance the creative productivity of applied design students.
Eraky, ., Salem, A. (2025). The role of guided and unguided merging of generative artificial intelligence in design education to enhance the creative productivity of applied design students.. EKB Journal Management System, 15(5), 465-481. doi: 10.21608/idj.2025.397240.1368
ٍSally Esmail Eraky; Abir Aly Eldesouky Ibrahim Salem El Desouky Salem. "The role of guided and unguided merging of generative artificial intelligence in design education to enhance the creative productivity of applied design students.". EKB Journal Management System, 15, 5, 2025, 465-481. doi: 10.21608/idj.2025.397240.1368
Eraky, ., Salem, A. (2025). 'The role of guided and unguided merging of generative artificial intelligence in design education to enhance the creative productivity of applied design students.', EKB Journal Management System, 15(5), pp. 465-481. doi: 10.21608/idj.2025.397240.1368
Eraky, ., Salem, A. The role of guided and unguided merging of generative artificial intelligence in design education to enhance the creative productivity of applied design students.. EKB Journal Management System, 2025; 15(5): 465-481. doi: 10.21608/idj.2025.397240.1368

The role of guided and unguided merging of generative artificial intelligence in design education to enhance the creative productivity of applied design students.

International Design Journal
Article 36, Volume 15, Issue 5 - Serial Number 68, September and October 2025, Page 465-481  XML PDF (2.59 MB)
Document Type: Original Article
DOI: 10.21608/idj.2025.397240.1368
View on SCiNiTO View on SCiNiTO
Authors
ٍSally Esmail Eraky email 1; Abir Aly Eldesouky Ibrahim Salem El Desouky Salem2
1Faculty of applied arts - 6th of October University (O6U)- Giza –Egypt
2faculty of applied arts Oct 6 University
Abstract
Amid rapid transitions toward digital technologies, significant challenges have emerged in the use of artificial intelligence tools and techniques within higher education—particularly in teaching applied design across various disciplines in the field of applied arts. For students, AI tools have become an engaging and widely accessible experience, while for faculty, they remain a complex and sometimes ambiguous domain requiring thoughtful with In accordance with the nature of each specialty and without harming the fundamentals of traditional applied design teaching methodologies.
Problem: How can the use of artificial intelligence tools and techniques be regulated and integrated into the development of applied design teaching
Objectives: Establish a general framework for regulating the integration of the potentials of artificial intelligence in teaching and education in applied design to achieve maximum benefit from its use, without harming the natural stages of creative education and their outcomes.
Hypotheses: The use of artificial intelligence by students will have positive repercussions on the development of their creative and innovative aspects, provided that mechanisms and regulations are established for its integration into the education, monitoring, and evaluation processes at all stages of design.
Methodology: Descriptive Experimental—Inductive and Deductive
Results: The processes of integrating AI into the curricula for teaching applied design must be constrained by guidelines and directed by faculty members, whether in the timing of the phases used in the design process or the types of programs used, to ensure fair assessment among students.
Recommendations: Develop updated teaching strategies incorporating AI into design courses tools.
Keywords
Artificial Intelligence; Generative Artificial Intelligence; Applied Design; Creative Productivity
Supplementary Files
References
  1. Coeckelbergh, M. (2024). AI ethics (H. A. Ghanem, Trans.). Hindawi Foundation. (Original work published in English)
  2. Sonkol, R. (2023). ChatGPT artificial intelligence model. Al-Asala Publishing and Distribution.
  3. Bonnet, A. (1993). Artificial intelligence: Reality and future (A. S. Farghali, Trans.). World of Knowledge Series.
  4. Al-Ghamdi, M. F. (2024). Artificial intelligence in education (1st ed.). Al-Olwah Network.
  5. Lotfy, M. H. M., et al. (2023). Ethics guide for using AI applications in scientific research. Arab Federation for Libraries and Information.
  6. Habib, M. M. (n.d.). Psychology of artificial intelligence – A comprehensive vision. Al-Husseiny Publishing and Distribution.
  7. Fadlallah, H. R. (2023). Effectiveness of smartphone-based AI applications in developing tech competencies among information systems students and their relation to labor market skills. Egyptian Journal of Specialized Studies, 40(2).
  8. Ali, N. (2024). Employing AI applications in interactive digital advertising design: A case study on second-year graphic and advertising arts students. International Arab Journal of Information Technology and Data, 4(2).
  9. Saudi Data & AI Authority. (2025). Generative AI: Promising horizons for a better future. https://sdaia.gov.sa
  10. Allaq, K., & Ramadan, B. (2024). Outcomes of an applied experiment using AI in literature review development: The Scopus platform model. In Conference of the College of Arts, University of Baghdad: AI and the Possibility of Transformation in the Humanities (Iraq).
  11. Papanek, V. (1985). Design for the Real World: Human Ecology and Social Change. Thames & Hudson.
  12. Ambrose, G., & Harris, P. (2010). Design Thinking. AVA Publishing.
  13. Bayazit, N. (2004). Investigating Design: A Review of Forty Years of Design Research. Design Issues, 20(1), 16–29.
  14. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
  15. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
  16. Poole, D., & Mackworth, A. (2017). Artificial Intelligence: Foundations of Computational Agents (2nd ed.). Cambridge University Press.
  17. Goodfellow, I. et al. (2014). Generative Adversarial Networks. arXiv:1406.2661
  18. Brown, T. et al. (2020). Language Models are Few-Shot Learners. arXiv:2005.14165
  19. Bommasani, R. et al. (2021). On the Opportunities and Risks of Foundation Models. Stanford HAI
  20. Ramesh, A. et al. (2022). Hierarchical Text-Conditional Image Generation with CLIP Latents. arXiv:2204.06125
  21. Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681–694
  22. OpenAI (2023). GPT-4 Technical Report. OpenAI
  23. Marwa Hussien Mohamed, and others - Adaptive Learning Systems based on ILOs of Courses - WSEAS TRANSACTIONS on SYSTEMS and CONTROL ,Volume 18, 2023.
  24. Irbite & Strode, 2021. Artificial Intelligence Vs Designer: The Impact of Artificial Intelligence on Design Practice, Society Integration Education, Proceedings of the International Scientific Conference. Volume IV, May 28th-29th, 2021. 539-549.
  25. Arjumant Rauf, Sadaf Nadeem, Laiba Tahir, - Integrating Artificial Intelligence into Curriculum Design - Multidisciplinary Journal of Emerging Needs of Curriculum, VOL: 01 NO: 02 2024.
  26. Liu Yufei and others, Review of the Application of Artificial Intelligence in Education, International Journal of Innovation, Creativity and Change. Volume 12, Issue 8, 2020.
  27. Nitin Liladhar Rane, and others, Education 4.0 and 5.0: integrating Arti­cial Intelligence (AI) for personalized and adaptive learning, Journal Of Artificial Intelligence And Robotics, Jan-Mar 2024, VOL. 1, ISSUE 1, pp. 29-43.
  28. Hamid Reza Saeidnia, and Marcel Ausloos, Integrating Artificial Intelligence into Design Thinking: A Comprehensive Examination of the Principles and Potentialities of AI for Design Thinking Framework, Publisher homepage: InfoScience Trends ǁ (2024) NO 02; VOL 01: 01-09.
  29. Xiaojing Weng and others, Integrating Artificial Intelligence and Computational Thinking in Educational Contexts: A Systematic Review of Instructional Design and Student Learning Outcomes, ournal of Educational Computing Research 2024, Vol. 62(6) 1640–1670.
Statistics
Article View: 620
PDF Download: 146