Home⇛International Journal of Multidisciplinary: Applied Business and Education Research⇛vol. 7 no. 7 (2026)

Defining Artificial Intelligence: A DeepSeek-Assisted Synthesis of Contemporary Definitions

John Rhome E.J. Mamangon

Discipline: maritime technology

 

Abstract:

The rapid proliferation of Artificial Intelligence (AI) across virtually all ed- ucational, industrial and consumer domains is undeniable and well-docu- mented. It has become a transformative force across all sectors of society, driving innovation in healthcare, finance, manufacturing, and communica- tion. In education, AI increasingly influences teaching, learning, and educa- tional leadership, reshaping pedagogy and knowledge access. Despite widespread adoption, the term remains variably defined across disci- plines, creating conceptual ambiguities. This study aimed to develop a def- inition of AI, aided by the AI chatbot DeepSeek, by synthesizing definitions and descriptions from various authors from purposively selected peer-re- viewed journals and to systematically describe the core conceptual parts that comprise the synthesized definition of AI, and to critically examine how the corresponding scholarly references theoretically corroborate each of the constituent elements. To achieve the objectives of the study, the researchers conducted a purposive literature search and analysis of the definitions and/or descriptions of Artificial Intelligence, then used the AI chatbot DeepSeek to develop the synthesized definition. Additionally, the researchers reviewed the parts of the synthesized definition alongside their corresponding published references to verify their alignment and va- lidity. AI refers to a computational systems that perform cognitive tasks- including learning, reasoning, problem-solving, perception, and natural language understanding-typically associated with human intelligence. These systems operate through algorithmic processing of data and models, and with varying degrees of autonomy, adapt to environments, make pre- dictions or decisions, and pursue goal-oriented behavior. Moreover, valid related references support each part of the synthesized definition. Conse- quently, based on the results of the study, the researchers emphasize the importance of establishing clear, synthesized definitions for key educa- tional concepts-particularly the term artificial intelligence-which is crit- ical for effective instruction. Remarkably, the synthesized definition of AI provides a strong conceptual foundation for advancing relevant and im- pactful teaching and learning in all levels.



References:

  1. American Abbasi, M. U. R. (2021). Impact of AI on the in-clusion of learners with special needs: Public policy perspective in contemporary scenario. Arbor Journal, 11(1), 73-91. http://orcid.org/0000-0001-6977-9516
  2. Aljemely, Y. (2024). Challenges and best practices in training teachers to utilize artificial intelligence: A systematic review. Frontiers in Education, 9, 1-10. 10.3389/feduc.2024.1470853
  3. Al-Obaydi, L. H. & Pikhart, M. (2026). Artificial intelligence addiction: Exploring theemerging phenomenon ofaddiction intheAI age. AI & Society, 41, 1577-1593. https://oi.org/10.1007/s00146-025-02535-z
  4. Arees, Z., Guntin, S., Fariña, F., & Novo, M. (2025). Spanish adaption and validation of the General Attitudes Towards Artificial Intelligence Scale (GAAIS). European Journal ofInvestigation in Health, Psychol-ogy and Education, 15(11), 1-17. https://doi.org/10.3390/eji-hpe15110230
  5. Cayak, S. (2024). Investigating the relationship between teachers’ attitudes toward artificial intelligence and their artificial intelligence literacy. Journal of Educational Technology & Online Learning, 7(4), 367-383.https://doi.org/10.31681/je-tol.1490307
  6. Celik, I., Dindar, M., Muukkonen, H., & Jarvela, S. (2022). The promises and challenges of artificial intelligence for teachers: A systematic review of research. TechTrends, 66, 616-630. https://doi.org/10.1007/s11528-022-00715-y
  7. Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., & De Felice, F. (2020). Artificial intelligence and machine learning applications in smart production: Progress, trends, and directions. Sustainability, 12(492), 1-26. doi:10.3390/su12020492
  8. Crompton, H. & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Edu-cational Technology in Higher Education, 20(22), 1-22. https://doi.org/10.1186/s41239-023-00392-8
  9. Dai, C. P. & Ke, F. (2022). Educational applications of artificial intelligence in simulation-based learning: A systematic mapping review. Computer and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeal.2022.100087
  10. Dhombres, F., Bonnard, J., Bailly, K., Maurice, P., Papageorghiou, A., & Jouannic, J. M. (2022). Contributions of artificial intelligence reported in obstetrics and gynecology journals: Systematic review. Journal of Medical Internet Research, 24(4), 1-16. 10.2196/35465
  11. Dobrev, D. (2022). The AI definition and a program which satisfies this definition. Serdica Journal of Computing, 1-28.10.48550/arXiv.2212.03184
  12. Dong, L., Tang, X., & Wang, X. (2025). Examining the effect of artificial intelligence in relation to students’ academic achievement: A meta-analysis. Computers and Education: Artificial Intelligence, 8,1-10. https://doi.org/10.1016/j.caeai.2025.100400
  13. Dumagay, A. H., Kunting, A. F., Aliento, E. O., Ke-noh, K. S. T., Tarroza, R. T., Rillo, R. M., Riparip, E. M., Jacinto, L. A. C., Lauzon L. D. S., Estigoy, E. B., Francisco, C. I., & San Juan, D. O. (2025). Artificial intelligence as the call of the times: Attitudes of higher education teachers across gender, generational cohorts, and length of service in the context of educational 5.0. AG Editor, 3(246), 1-17. https://doi.org/10.62486/latia2025246
  14. Garzon, J., Patiño, E., & Marulanda, C. (2025). Systematic review of artificial intelligence in education: Trends, benefits, and challenges. Multimodal Technologies and Interaction, 9(84), 1-19. https://doi.org/10.3390/mti9080084
  15. Gignac, G. & Szodorai, E. (2024). Defining intelligence: Bridging the gap between human and artificial perspectives. Science Direct, 104, 1-16.
    https://doi.org/10.1016/j.in-tell.2024.101832
  16. Giray, L., De Silos, P. Y, Adornado, A., Buelo, R. J. V., Galas, E., Reyes-Chua, E., Santiago, C., & Ulanday, M. L. (2024). Use and impact of artificial intelligence in Philippine higher education: Reflections from in-structors and administrators. Internet Reference Services Quarterly, 1-24. https://doi.org/10.1080/10875301.2024.2352746
  17. Göde, A. & Kalkan, A. (2023). What is Artificial Intelligence? Research on Mathematics and Science-IV, 23-36. https://doi.org/10.58830/ozgur.pub392.c1548
  18. Gupta, N. (2017). A literature survey on artificial intelligence. International Journal of Engineering Research & Technology (IJERT), 5(19), 1-5. https://www.ijert.org/research/a-litera-ture-survey-on-artificial-intelligence-IJERTCONV5IS19015.pdf
  19. Hassen, M. Z. (2025). The impact of AI on stu-dents’ reading, critical thinking, and problem solving skills. American Journal of Education and Information Technology, 9(2), 82-90. https://doi.org/10.11648/j.ajeit.20250902.12
  20. Khatri, B. B. & Karki, P. D. (2023). Artificial in-telligence (AI) in higher education: Growing academic integrity and ethical concerns. Nepalese Journal of Development and Rural Studies, 20(1), 1-7. https://doi.org/10.3126/njdrs.v20i01.64134
  21. Koylu, Y. (2025). Unlocking AI for language ed-ucation: Mastering prompts, critical evaluation of AI responses, and implications for language teaching and learning. Journal of China Computer-Assisted Language Learning,1-18. https://doi.org/10.1515/jccall-2025-0017
  22. Liao, J., Sun. F., Liu, Y., & Hu, Y. (2025). Deepseek in education: Exploring the transformative potential of AI-driven educational intelligence. Future in Educational Research, 4, 30-41. https://doi.org/10.1002/fer3.70022
  23. Lukianets, H. & Lukianets, T. (2023). Promise and perils of AI use on the tertiary educational level. International Scientific Journal, 25, 306-311. 10.36074/grail-of-science.17.03.2023.053
  24. Miao, F., Holmes, W., Huang, R., & Zhang, H. (2021). AI and education: Guidance for policy-makers–AI essentials for policy-makers. UNESCO Education Sector, 1-45. https://doi.org./10.54675/pcsp7350
  25. Moundridou, M., Matzakos, N., & Doukakis, S. (2024). Generative AI tools as educators’ assistants: Designing and implementing inquiry-based lesson plans. Computers and Education: Artificial Intelligence, 7, 1-16. https://doi.org/10.1016/j.caeai.2024.100277
  26. Mustafauglu, F. M. & Alkan, F. (2015). Artificial intelligence in education: Attitudes and perceptions of pre-service teachers. Information Technologies and Learning Tools, 110(6), 120-134. https://jour-nal.iitta.gov.ua/index.php/itlt/arti-cle/view/6341
  27. Nah, F. F. H., Zheng, R., Cai, J., Siau, H., & Chen, L. (2023). Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration. Journal of Information Technology Case and Application Research, 25(3), 277-304. https://doi.org/10.1080/15228053.2023.2233814
  28. Sabijon, A. C., Jr.(2024).Instructional materials: A comprehensive ChatGPT-assisted definition. Library Progress International,44(6), 762-773.
    https://hdl.han-dle.net/20.500.12852/3099
  29. Sabijon, A. C., Jr. (2021). Performance assessment task: A point of reference for science teachers-this pandemic and beyond. International Journal of Multidisciplinary: Applied Business and Education Research, 2(12), 1392-1409. http://dx.doi.org/10.11594/ijmaber.02.12.13
  30. Sekaki, Y., Ziane, H., & Khazzar, A. (2025). Arti-ficial intelligence in management studies (2021–2025): A bibliometric mapping of themes, trends, and global contributions. International Journal of Accounting, Fi-nance, Auditing, Management & Econom-ics (IJAFAME), 6(9), 62-80. https://doi.org/10.48550/arXiv.2508.21092
  31. Shah, A. (2025). Artificial intelligence and its impact on education and digital learning. International Journal of Research and Technology (IJRT), 13(4), 511-517. DOI: 10.64882/ijrt. v13.iS4.824
  32. Sheikh, H., Prins, C., & Schrijvers, E. (2023). Mission AI: The new system technology.
  33. Springer,1-385. https://doi.org/10.1007 /978-3-031-21448-6
  34. Sibug, V. B., Vital, V. P., Miranda, J. P. P., Fernando, E. Q., Gamboa, A. B., Hernandez, H. E., Bansil, J. A., Penecilla, E. M., & Gonzales, D. D. (2024). Teachers’ perspective on integrating AI tools in classrooms: In-sights from the Philippines. Proceedings of the 32ndInternational Conference on Computers in Education, 1, 743-748. https://www.researchgate.net/publica-tion/386170473_Teachers%27_Perspec-tives_on_Integrating_AI_tools_in_Classrooms_Insights_from_the_PhilippinesUNESO (n.d.). Artificial intelligence in education. https://www.unesco.org/en/digital-ed-ucation/artificial-intelligence
  35. Ventura, A. M. & Lopez, L. (2024). Unlocking the future of learning: Assessing students’ awareness and usage of AI tools. International Journal of Information and Education Technology, 14(8), 1136-1144. Doi: 10.18178/ijiet.2024.14.8.2142
  36. Xu, Y., Liu, B., Huang, X., Guo, X., Suo, N., Jiang, S., & Wang, H. (2025). Artificial intelligence in primary aldosteronism: Current achievements and future challenges. Frontiers in Molecular Biosciences, 12, 1-11. DOI: 10.3389/fmolb.2025.1660588
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