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9. Berry, D. M, & Fagerjord, A. (2017). Digital humanities: Knowledge and critique in a digital age. Cambridge: Polity.
10. Crawley, E, Malmqvist, J, Licas, W, & Brodeur, D. (2011). The CDIO syllabus v2.0: An updated statement of goals for engineering education. Paper presented at the 7th International Conceive-Design-Implement-Operate Conference, Copenhagen, Denmark.
11. Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing among five approaches. Thousand Oaks, CA: Sage.
12. Deilomgani, M. (2003). Information technology in educational programs. Journal of Educational Technology, 5(22), 102–112.
13. Dunis, C, Middleton, P, Karathanasopolous, A, & Theofilatos, K. (2016). Artificial intelligence in financial markets. Berlin: Springer.
14. Eaton, S. E. (2023). Academic integrity and AI. University World News.https: //www.universityworldnews.com/post.php?story=20230228133041549.
15. Filiz, O, Yurdakul, I. K, & Şahin İzmirli, Ö. (2013). Changes in professional development needs of faculty members according to stages of technology use and field differences. Procedia - Social and Behavioral Sciences, 93, 1224–1228.
16. Forum WE. (2018). Driving the sustainability of production systems with fourth industrial revolution innovation. Geneva: World Economic Forum.
17. Giray, L. (2023). Prompt engineering with ChatGPT: A guide for academic writers. Annals of Biomedical Engineering, 1–5. https: //doi.org/10.1007/s10439-023-03272-4.
18. Liu, G, Yang, J, Hao, Y, & Zhang, Y. (2018). Big data-informed energy efficiency assessment of China industry sectors based on k-means clustering. Journal of Cleaner Production, 183, 304–314.
19. Lu, R, Rausch, C, Bolpagni, M, Brilakis, I, & Haas, C. T. (2020). Geometric accuracy of digital twins for structural health monitoring. In Bridge Engineering. IntechOpen.
20. Müller, J. M, Buliga, O, & Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2–17.
21. McCarthy, J. (2007). What is artificial intelligence? Stanford University. http: //www-formal.stanford.edu/jmc.
22. Naik, N, Hameed, B. M. Z, Shetty, D. K, et al. (2022). Legal and ethical consideration in artificial intelligence in healthcare: Who takes responsibility? Frontiers in Surgery, 9. https: //doi.org/10.3389/fsurg.2022.862322.
23. Palomares, I, Porcel, C, Pizzato, L, Guy, I, & Herrera-Viedma, E. (2021). Reciprocal recommender systems: Analysis of state-of-the-art literature, challenges and opportunities on social recommendation. Information Fusion. https: //doi.org/10.1016/j.inffus.2020.12.001
24. Palomares, I, Martínez-Cámara, E, Montes, R, et al. (2021). A panoramic view and SWOT analysis of artificial intelligence for achieving the sustainable development goals by 2030: Progress and prospects. Applied Intelligence, 51, 6497–6527.
25. Pandya, M. (2012). Cloud computing for libraries: A SWOT analysis. 8th Convention PLANNER. https: //www.researchgate.net/publication/343280498
26. Plano Clark, V, Creswell, J, O’Neil Green, D, & Shope, R. (2008). Mixing quantitative and qualitative approaches: An introduction to emergent mixed methods research. In S. Hesse-Biber & P. Leavy (Eds.), Handbook of emergent methods (pp. xx–xx). New York: The Guilford Press.
27. Psycharis, S. (2011). Presumptions and actions affecting an e-learning adoption by the educational system: Implementation using virtual private networks. University of the Aegean – Department of Primary Education and Greek Pedagogical Institute. http: //www.eurodl.org/?p=&sp=fullarticle=204
28. Rahman, M, Terano, H. J. R, Rahman, N, Salamzadeh, A, & Rahaman, S. (2023). ChatGPT and academic research: A review and recommendations based on practical examples. Journal of Education, Management and Development Studies, 3(1), 1–12. https: //doi.org/10.52631/jemds.v3i1.175
29. Raynor, W. (1999). International dictionary of artificial intelligence (1st ed.). Routledge. https: //doi.org/10.4324/9781315074108
30. Shrestha, D. (2019). How artificial intelligence will impact scientific research. Fusemachines Blog. https: //fusemachines.medium.com/how-artificial-intelligence-will-impact-scientific-research-4e6f4face1ae
31. Slattery, P. (2010). Curriculum development in the postmodern era. New York: Routledge.
32. Sobir, R. (2020). Micro-, small and medium-sized enterprises (MSMEs) and their role in achieving the sustainable development goals. Department of Economic and Social Affairs. https: //sustainabledevelopment.un.org/content/documents/26073MSMEsandSDGs.pdf
33. AlAfnan, M. A, Dishari, S, Jovic, M, & Lomidze, K. (2023). ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. Journal of Artificial Intelligence and Technology, 3(2), 60–68. https: //doi.org/10.37965/jait.2023.0184
34. Berry, D. M, & Fagerjord, A. (2017). Digital humanities: Knowledge and critique in a digital age. Cambridge: Polity.
35. Crawley, E, Malmqvist, J, Licas, W, & Brodeur, D. (2011). The CDIO syllabus v2.0: An updated statement of goals for engineering education. Paper presented at the 7th International Conceive-Design-Implement-Operate Conference, Copenhagen, Denmark.
36. Creswell, J. W. (2007). Qualitative inquiry and research design: Choosing among five approaches. Thousand Oaks, CA: Sage.
37. Deilomgani, M. (2003). Information technology in educational programs. Journal of Educational Technology, 5(22), 102–112.
38. Dunis, C, Middleton, P, Karathanasopolous, A, & Theofilatos, K. (2016). Artificial intelligence in financial markets. Berlin: Springer.
39. Eaton, S. E. (2023). Academic integrity and AI. University World News.https: //www.universityworldnews.com/post.php?story=20230228133041549
40. Filiz, O, Yurdakul, I. K, & Şahin İzmirli, Ö. (2013). Changes in professional development needs of faculty members according to stages of technology use and field differences. Procedia - Social and Behavioral Sciences, 93, 1224–1228.
41. Forum WE. (2018). Driving the sustainability of production systems with fourth industrial revolution innovation. Geneva: World Economic Forum.
42. Giray, L. (2023). Prompt engineering with ChatGPT: A guide for academic writers. Annals of Biomedical Engineering, 1–5. https: //doi.org/10.1007/s10439-023-03272-4
43. Liu, G, Yang, J, Hao, Y, & Zhang, Y. (2018). Big data-informed energy efficiency assessment of China industry sectors based on k-means clustering. Journal of Cleaner Production, 183, 304–314.
44. Lu, R, Rausch, C, Bolpagni, M, Brilakis, I, & Haas, C. T. (2020). Geometric accuracy of digital twins for structural health monitoring. In Bridge Engineering. IntechOpen.
45. Müller, J. M, Buliga, O, & Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2–17.
46. McCarthy, J. (2007). What is artificial intelligence? Stanford University. http: //www-formal.stanford.edu/jmc/
47. Naik, N, Hameed, B. M. Z, Shetty, D. K, et al. (2022). Legal and ethical consideration in artificial intelligence in healthcare: Who takes responsibility? Frontiers in Surgery, 9. https: //doi.org/10.3389/fsurg.2022.862322
48. Palomares, I, Porcel, C, Pizzato, L, Guy, I, & Herrera-Viedma, E. (2021). Reciprocal recommender systems: Analysis of state-of-the-art literature, challenges and opportunities on social recommendation. Information Fusion. https: //doi.org/10.1016/j.inffus.2020.12.001
49. Palomares, I, Martínez-Cámara, E, Montes, R, et al. (2021). A panoramic view and SWOT analysis of artificial intelligence for achieving the sustainable development goals by 2030: Progress and prospects. Applied Intelligence, 51, 6497–6527.
50. Pandya, M. (2012). Cloud computing for libraries: A SWOT analysis. 8th Convention PLANNER. https: //www.researchgate.net/publication/343280498
51. Plano Clark, V, Creswell, J, O’Neil Green, D, & Shope, R. (2008). Mixing quantitative and qualitative approaches: An introduction to emergent mixed methods research. In S. Hesse-Biber & P. Leavy (Eds.), Handbook of emergent methods (pp. xx–xx). New York: The Guilford Press.
52. Psycharis, S. (2011). Presumptions and actions affecting an e-learning adoption by the educational system: Implementation using virtual private networks. University of the Aegean – Department of Primary Education and Greek Pedagogical Institute. http: //www.eurodl.org/?p=&sp=fullarticle=204
53. Rahman, M, Terano, H. J. R, Rahman, N, Salamzadeh, A, & Rahaman, S. (2023). ChatGPT and academic research: A review and recommendations based on practical examples. Journal of Education, Management and Development Studies, 3(1), 1–12. https: //doi.org/10.52631/jemds.v3i1.175
54. Raynor, W. (1999). International dictionary of artificial intelligence (1st ed.). Routledge. https: //doi.org/10.4324/9781315074108
55. Shrestha, D. (2019). How artificial intelligence will impact scientific research. Fusemachines Blog. https: //fusemachines.medium.com/how-artificial-intelligence-will-impact-scientific-research-4e6f4face1ae
56. Slattery, P. (2010). Curriculum development in the postmodern era. New York: Routledge.
57. Sobir, R. (2020). Micro-, small and medium-sized enterprises (MSMEs) and their role in achieving the sustainable development goals. Department of Economic and Social Affairs. https: //sustainabledevelopment.un.org/content/documents/26073MSMEsandSDGs.pdf.