بحوث أدوات الذكاء الاصطناعي ومجالات تطبيقها في كتابة البحث العلمي
(دراسة منهجية)
الكلمات المفتاحية:
تطبيقات الذكاء الاصطناعي، تعلم الآلة، الكتابة الأكاديمية، الدراسة المنهجية
الملخص
تحتل تكنولوجيا الذكاء الاصطناعي دوراً متقدماً في مجال العلوم في الوقت الحالي بفضل الثورة التكنولوجية التي حدثت في هذا المجال وهو تطوير نموذج الحوار تشات جي بي تي Chat GPT . وقد أثرت هذه القفزة التقنية بشكل كبير وسريع وايجابي على جميع قطاعات الحياة وخاصة القطاع الأكاديمي. فعلى الرغم من الأهمية العلمية لتطبيقات الذكاء الاصطناعي في مجال كتابة البحث العلمي الا ان الدراسات العربية لاتزال في مراحل مبكرة. وعليه سعت الدراسة الحالية الى تقديم مراجعة منهجية ومنظمة للأدبيات الخاصة بتطبيقات الذكاء الاصطناعي في هذا المجال وتحليل موضوعي للأدبيات المنشورة في الفترة ما بين نوفمبر 2022م الى أكتوبر 2023 م. وقد تم حصر الدراسة الحالية على الأبحاث والمؤتمرات العلمية الإنجليزية، والتي تم نشرها من خلال قاعدة بيانات الباحث العلمي جوجل Google Scholar. وبالاعتماد على نموذج PARISMA وتطبيق معايير التضمين والاستقصاء تم تحديد (26) بحثاً. وقد توصلت نتائج الدراسة الحالية الى ان هناك تزايد كبير وملحوظ في عدد الدراسات المهتمة باكتشاف تطبيقات الذكاء الاصطناعي في كتابة البحث العلمي خاصة في المجال الطبي، وكانت الولايات المتحدة الامريكية الأكثر انتاجاً لهذه الابحاث. رغم فوائد هذه التقنية الكبيرة، فقد أكدت الدراسات على الحاجة إلى تطوير الإرشادات الأخلاقية والأدبية لاستخداماتها في الكتابة العلمية. وأخيراً تم تقديم تصنيفا شاملاً للتطبيقات التي يمكن الاستفادة منها في جميع مراحل كتابة البحث العلمي. وبناء على نتائج البحث الحالي يمكن تحديد الفجوات البحثية والاتجاهات الاستكشافية المستقبلية والمتوقع ان تكون ذات قيمة كبيرة للأكاديميين والممارسين على حد سواء.
المراجع
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27. Mai, J., Chen, J., Li, B., Qian, G., Elhoseiny, M., & Ghanem, B. (2023). LLM as A Robotic Brain: Unifying Egocentric Memory and Control. arXiv preprint arXiv:2304.09349.
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35. Rahman, M., Terano, HJR, 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.
36. Ramalingam, S., Yunus, M. M., & Hashim, H. (2022). Blended learning strategies for sustainable English as a second language education: A systematic review. Sustainability, 14(13), 8051. https://doi.org/10.3390/su14138051
37. Russel, S., & Norvig, P. (2010). Artificial intelligence - a modern approach. New Jersey: Pearson Education.
38. Salimi, A., & Saheb, H. (2023). Large Language Models in Ophthalmology Scientific Writing: Ethical Considerations Blurred Lines or Not at All?. American Journal of Ophthalmology.
39. Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Can artificial intelligence help for scientific writing?. Critical care, 27(1), 1-5.
40. Satpute, R. S. (2023). Transforming the Language Teaching Experience in the Age of AI: Ethical, Social, and Cultural Considerations in Implementing AI in Language Education. In Transforming the Language Teaching Experience in the Age of AI (pp. 115-124). IGI Global.
41. Semrl, N., Feigl, S., Taumberger, N., Bracic, T., Fluhr, H., Blockeel, C., & Kollmann, M. (2023). AI language models in human reproduction research: exploring ChatGPT’s potential to assist academic writing. Human Reproduction, 38(12), 2281-2288.
42. Turing, A. M. (1937). On Computable Numbers, with an Application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, s2-42(1), 230–265. https://doi.org/https://doi. org/10.1112/plms/s2-42.1.230
43. Vasilakes, J., Zhou, S., & Zhang, R. (2021). Natural language processing. In Machine Learning in Cardiovascular Medicine (pp. 123-148). Academic Press.
44. Vapnik, V. N. (1998). The Nature of Statistical Learning Theory. Springer. https://doi. org/10.1007/978-1-4757-2440-0
45. Xames, M. D., & Shefa, J. (2023). ChatGPT for research and publication: Opportunities and challenges. Available at SSRN 4381803.
46. Zamfiroiu, A., Vasile, D., & Savu, D. (2023). ChatGPT–A Systematic Review of Published Research Papers. Informatica Economica, 27(1), 5-16.
47. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27.
48. Zybaczynska, J., Norris, M., Modi, S., Brennan, J., Jhaveri, P., Craig, T. J., & Al-Shaikhly, T. (2024). Artificial Intelligence–Generated Scientific Literature: A Critical Appraisal. The Journal of Allergy and Clinical Immunology: In Practice, 12(1), 106-110.
2. Adam, M., Wessel, M., & Benlian, A. (2021). AI-based chatbots in customer service and their effects on user compliance. Electronic Markets, 31(2), 427-445
3. AlBadarin, Y., Tukiainen, M., Saqr, M., & Pope, N. (2023). A Systematic Literature Review of Empirical Research on ChatGPT in Education. Available at SSRN 4562771.
4. Altmäe, S., Sola-Leyva, A., & Salumets, A. (2023). Artificial intelligence in scientific writing: a friend or a foe?. Reproductive BioMedicine Online.
5. Aydın, Ö., & Karaarslan, E. (2022). OpenAI ChatGPT generated literature review: Digital twin in healthcare. Available at SSRN 4308687.
6. AlZaabi, A., ALamri, A., Albalushi, H., Aljabri, R., & AalAbdulsallam, A. (2023). ChatGPT applications in academic research: A review of benefits, concerns, and recommendations. bioRxiv, 2023-08.
7. Buchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence. The AI Magazine, 26(4). https://doi.org/https://doi.org/10.1609/aimag. v26i4.1848
8. Baker, T., & Smith, L. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. Retrieved from Nesta Foundation website: https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf
9. Bom, H. S. H. (2023). Exploring the Opportunities and Challenges of ChatGPT in Academic Writing: a Roundtable Discussion. Nuclear Medicine and Molecular Imaging, 1-3.
10. Briner, R.B., Denyer, D., 2012. Systematic Review and Evidence Synthesis as a Practice and Scholarship Tool. New Year University Press, New York, NY.
11. Chowdhary, K., & Chowdhary, K. R. (2020). Natural language processing. Fundamentals of artificial intelligence, 603-649.
12. Currie, G. M. (2023, May). Academic integrity and artificial intelligence: is ChatGPT hype, hero or heresy?. In Seminars in Nuclear Medicine. WB Saunders.
13. Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642.
14. Flowers, J. C. (2019, March). Strong and Weak AI: Deweyan Considerations. In AAAI spring symposium: Towards conscious AI systems (Vol. 2287, No. 7).
15. Geher, G. (2023). ChatGPT, artificial intelligence, and the future of writing. Psychology Today. https://www.psychologytoday.com/us/blog/darwins-subterranean-world/202301/chatgpt-artificial-intelligence-and-the-future-of-writing
16. Golan, R., Reddy, R., Muthigi, A., & Ramasamy, R. (2023). Artificial intelligence in academic writing: a paradigm-shifting technological advance. Nature Reviews Urology, 1
17. Gough, D., Oliver, S., & Thomas, J. (2017). An introduction to systematic reviews, (2nd ed., ). Los Angeles: SAGE.
18. Haigh, T., & Priestley, M. (2019). von Neumann thought Turing's universal machine was' simple and neat.' but that didn't tell him how to design a computer. Communications of the ACM, 63(1), 26-32
19. Hwang, S. I., Lim, J. S., Lee, R. W., Matsui, Y., Iguchi, T., Hiraki, T., & Ahn, H. (2023). Is ChatGPT a “Fire of Prometheus” for non-native english-speaking researchers in academic writing?. Korean Journal of Radiology, 24(10), 952.
20. Huang, J., & Tan, M. (2023). The role of ChatGPT in scientific communication: writing better scientific review articles. American Journal of Cancer Research, 13(4), 1148.
21. Imran, M., & Almusharraf, N. (2023). Analyzing the role of ChatGPT as a writing assistant at higher education level: A systematic review of the literature. Contemporary Educational Technology, 15(4), ep464.
22. Jaber, T. A. (2022). Artificial intelligence in computer networks. Periodicals of Engineering and Natural Sciences, 10(1), 309-322.
23. Khosravi, H., Shafie, M. R., Hajiabadi, M., Raihan, A. S., & Ahmed, I. (2023). Chatbots and ChatGPT: A bibliometric analysis and systematic review of publications in Web of Science and Scopus databases. arXiv preprint arXiv:2304.05436.
24. Kleespies, M. W., Schneider, S., Emge, D., Feucht, V., Hacke, J., Wenzel, V., & Dierkes, P. W. (2023). How the Connectedness Between Humans and Nature Can Be Increased? Comparing ChatGPT’s Language Use to Scientific Literature.
25. Lee, J. Y. (2023). Can an artificial intelligence chatbot be the author of a scholarly article?. Journal of Educational Evaluation for Health Professions, 20.
26. Liu, H., Azam, M., Bin Naeem, S., & Faiola, A. (2023). An overview of the capabilities of ChatGPT for medical writing and its implications for academic integrity. Health Information & Libraries Journal, 40(4), 440-446.
27. Mai, J., Chen, J., Li, B., Qian, G., Elhoseiny, M., & Ghanem, B. (2023). LLM as A Robotic Brain: Unifying Egocentric Memory and Control. arXiv preprint arXiv:2304.09349.
28. McCarthy, J., Minsky, M. L., Rochester, N., & Shannon, C. E. (2006). A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence: August 31, 1955. AI Magazine, 27(4).
29. Meyer, J. G., Urbanowicz, R. J., Martin, P. C., O’Connor, K., Li, R., Peng, P. C., ... & Moore, J. H. (2023). ChatGPT and large language models in academia: opportunities and challenges. BioData Mining, 16(1), 20.
30. Mondal, H., Juhi, A., Dhanvijay, A. D., Pinjar, M. J., & Mondal, S. (2023). Free software applications for authors for writing a research paper. Journal of Family Medicine and Primary Care, 12(9), 1802-1807.
31. Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R., Dehbozorgi, N., Dorodchi, M., & Macêdo Batista, D. (2023, October). Exploring the Role of ChatGPT in Education: Applications and Challenges. In Proceedings of the 24th Annual Conference on Information Technology Education (pp. 84-89).
32. Muthukrishnan, N., Maleki, F., Ovens, K., Reinhold, C., Forghani, B., & Forghani, R. (2020). Brief history of artificial intelligence. Neuroimaging Clinics, 30(4), 393-399.
33. Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences: A practical guide. Malden; Oxford: Blackwell Pub.
34. Popenici, S., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning. https://doi.org/10.1186/s41039-017-0062-8.
35. Rahman, M., Terano, HJR, 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.
36. Ramalingam, S., Yunus, M. M., & Hashim, H. (2022). Blended learning strategies for sustainable English as a second language education: A systematic review. Sustainability, 14(13), 8051. https://doi.org/10.3390/su14138051
37. Russel, S., & Norvig, P. (2010). Artificial intelligence - a modern approach. New Jersey: Pearson Education.
38. Salimi, A., & Saheb, H. (2023). Large Language Models in Ophthalmology Scientific Writing: Ethical Considerations Blurred Lines or Not at All?. American Journal of Ophthalmology.
39. Salvagno, M., Taccone, F. S., & Gerli, A. G. (2023). Can artificial intelligence help for scientific writing?. Critical care, 27(1), 1-5.
40. Satpute, R. S. (2023). Transforming the Language Teaching Experience in the Age of AI: Ethical, Social, and Cultural Considerations in Implementing AI in Language Education. In Transforming the Language Teaching Experience in the Age of AI (pp. 115-124). IGI Global.
41. Semrl, N., Feigl, S., Taumberger, N., Bracic, T., Fluhr, H., Blockeel, C., & Kollmann, M. (2023). AI language models in human reproduction research: exploring ChatGPT’s potential to assist academic writing. Human Reproduction, 38(12), 2281-2288.
42. Turing, A. M. (1937). On Computable Numbers, with an Application to the Entscheidungsproblem. Proceedings of the London Mathematical Society, s2-42(1), 230–265. https://doi.org/https://doi. org/10.1112/plms/s2-42.1.230
43. Vasilakes, J., Zhou, S., & Zhang, R. (2021). Natural language processing. In Machine Learning in Cardiovascular Medicine (pp. 123-148). Academic Press.
44. Vapnik, V. N. (1998). The Nature of Statistical Learning Theory. Springer. https://doi. org/10.1007/978-1-4757-2440-0
45. Xames, M. D., & Shefa, J. (2023). ChatGPT for research and publication: Opportunities and challenges. Available at SSRN 4381803.
46. Zamfiroiu, A., Vasile, D., & Savu, D. (2023). ChatGPT–A Systematic Review of Published Research Papers. Informatica Economica, 27(1), 5-16.
47. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27.
48. Zybaczynska, J., Norris, M., Modi, S., Brennan, J., Jhaveri, P., Craig, T. J., & Al-Shaikhly, T. (2024). Artificial Intelligence–Generated Scientific Literature: A Critical Appraisal. The Journal of Allergy and Clinical Immunology: In Practice, 12(1), 106-110.
منشور
2023-12-20
كيفية الاقتباس
د. جولين أديب قطب. (2023). بحوث أدوات الذكاء الاصطناعي ومجالات تطبيقها في كتابة البحث العلمي: (دراسة منهجية). Journal of Arts, Literature, Humanities and Social Sciences, (98), 443-469. https://doi.org/10.33193/JALHSS.98.2023.1020
إصدار
القسم
المقالات
