THE IMPACT OF HUMAN-CENTERED ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION

Autori

  • Chara Kottara Fulltime Lecturer, Department of Business Administration, University of West Attica, Athens, Greece
  • Sofia Asonitou Professor in Accounting Education, Department of Business Administration, University of West Attica, Athens, Greece

DOI:

https://doi.org/10.46827/ejes.v12i2.5796

Parole chiave:

academic boredom, human-centered AI, adaptive learning, higher education

Abstract

The academic community around the world faces several challenges due to the technological development that has shifted to the field of education. There is a strong reflection of the professors in university education regarding the modern needs of students that they are called to meet in an internationally competitive environment. The integration of innovation and technology is a cornerstone to promote the educational experience, enhance active learning and reduce the academic boredom that students may feel during their studies. The entry of artificial intelligence (AI) into the field of education through proper course design and in combination with the appropriate educational tools is a patchwork that stimulates student interest and is an important indicator of engagement through a deeper desire for learning and advanced academic achievements. All these issues raise reasonable questions about the factors that contribute to the active engagement of students and the reduction of academic boredom. The present research is a scientific article which is based on previous studies with critical thinking and with the aim of elucidating aspects in particular of Human-Centered Artificial Intelligence. Research findings show that improving teaching methods, promoting adaptive learning motivates a more human-centric solution to the application of artificial intelligence. In addition, personalized learning drives higher levels of student engagement, shaping an educational environment that is more engaging, human-centered with high devotion and commitment, reducing academic boredom.

 

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Biografie autore

  • Chara Kottara, Fulltime Lecturer, Department of Business Administration, University of West Attica, Athens, Greece

    Dr. Chara Kottara is Economist – Accountant A’ Class. She is Fulltime Lecturer, Dpt. of Business Administration, University of West Attica, Greece. She holds PhD in Social Sciences with a specialization in Economics, Management and Accounting. She has a Pedagogical qualification and specialization in Special Education. She holds certification from the National Organization for the Certification of Qualifications and Professional Guidance. Her main research interests include Accounting and Finance, Technology, University Pedagogy, E-learning, Blended Learning and Sustainable Development.

  • Sofia Asonitou, Professor in Accounting Education, Department of Business Administration, University of West Attica, Athens, Greece

    Dr. Sofia Asonitou is a Professor of Accounting Education at the University of West Attica. Sofia Asonitou studied Economics at the National and Kapodistrian University of Athens. She obtained a Master's in Industrial Location and Development from Solvay – VUB Vrije Universiteit Brussels, Belgium and a Master's in Business Administration from the same University. She holds a PhD in accounting education from Sheffield Hallam University, UK. Her research interests are in Accounting Education, the development of professional skills of accountants, the interconnection of higher education and the labour market, new teaching methods, educational reforms, and continuing professional development of accountants in the private and the public sector. Her teaching interests are in Management Accounting and Financial Statement Analysis. She has published in international journals, "The International Journal of Management Education, "Accounting Education", and "The International Journal of Sustainability in Higher Education". She has participated in many international conferences, and her studies have received international recognition.

Riferimenti bibliografici

Asonitou S., Kottara C., Duan S., & Yuan L., 2020. A comparative approach of E-learning accounting programs in Greece and China. In Strategic Innovative Marketing and Tourism: 8th ICSIMAT, Northern Aegean, Greece, 2019 (pp. 205-214). Springer International Publishing. Retrieved from https://link.springer.com/chapter/10.1007/978-3-030-36126-6_23

Alimadadi, A., Aryal, S., Manandhar, I., Munroe, P. B., Joe, B., & Cheng, X., 2020. Artificial intelligence and machine learning to fight COVID-19. Physiological genomics, 52(4), 200-202. https://doi.org/10.1152/physiolgenomics.00029.2020

Bekker, C. I., Rothmann, S., & Kloppers, M. M., 2023. The happy learner: Effects of academic boredom, burnout, and engagement. Frontiers in Psychology, 13, 974486. https://doi.org/10.3389/fpsyg.2022.974486

Camacho-Morles, J., Slemp, G. R., Pekrun, R., Loderer, K., Hou, H., & Oades, L. G., 2021. Activity achievement emotions and academic performance: A meta-analysis. Educational Psychology Review, 33(3), 1051-1095. Retrieved from https://link.springer.com/article/10.1007/s10648-020-09585-3

Crawford, J., Cowling, M., & Allen, K. A., 2023. Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching & Learning Practice, 20(3), http://dx.doi.org/10.53761/1.20.3.02

Fariani, R. I., Junus, K., & Santoso, H. B., 2023. A systematic literature review on personalised learning in the higher education context. Technology, Knowledge and Learning, 28(2), 449-476. Retrieved from https://link.springer.com/article/10.1007/s10758-022-09628-4

Finkielsztein, M., 2020. Class-related academic boredom among university students: A qualitative research on boredom coping strategies. Journal of Further and Higher Education, 44(8), 1098-1113. Retrieved from http://dx.doi.org/10.1080/0309877X.2019.1658729

Georgopoulou M. S., 2024. The power of synergy: Unlocking the potential of group dynamics through team-building practices in junior high school. European Journal of Education and Pedagogy, 5(2), p 12-21. http://dx.doi.org/10.24018/ejedu.2024.5.2.803

Georgopoulou M. S., Troussas C., & Sgouropoulou C., 2023. A Conceptual Framework for a Critical Approach to the Digital World: Integrating Digital Humanities and Informal Learning into Educational Design. In K., Kabassi, P., Mylonas, & J., Caro. (eds), Novel & Intelligent Digital Systems Conferences (pp. 141-150). Cham: Springer Nature Switzerland. http://dx.doi.org/10.1007/978-3-031-44146-2_15

Gligorea, I., Cioca, M., Oancea, R., Gorski, A. T., Gorski, H., & Tudorache, P., 2023. Adaptive learning using artificial intelligence in e-learning: a literature review. Education Sciences, 13(12), 1216. https://doi.org/10.3390/educsci13121216

Hunter, J. A., & Eastwood, J. D., 2021. Understanding the relation between boredom and academic performance in postsecondary students. Journal of educational psychology, 113(3), 499. http://dx.doi.org/10.1037/edu0000479

Kabudi, T., Pappas, I., & Olsen, D. H., 2021. AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100017

Kem, D., 2022. Personalised and adaptive learning: Emerging learning platforms in the era of digital and smart learning. International Journal of Social Science and Human Research, 5(2), 385-391. Retrieved from https://ijsshr.in/v5i2/Doc/2.pdf

Kottara, C., & Zaridis, A., 2024a. The role of Artificial Intelligence (AI) in Teaching in Higher Education Institutions’ (HEIs). Journal of Multidisciplinary Engineering Science and Technology (JMEST), 11(10), pp 17140‐17145. https://www.jmest.org/wp-content/uploads/JMESTN42354452.pdf

Kottara C., Asonitou S., Anagnostopoulos T., Ntanos S., Choustoulakis E., 2024b. The impact of educational technology on the academic performance of accounting students. International Journal of Science and Research Archive, 13(2), pp: 1930–1942. https://doi.org/10.30574/ijsra.2024.13.2.2394.

Kottara C., Kavalieraki-Foka D., Gonidakis F., Asonitou S., Zaridis A., & Brinia V., 2024c. Sustainable Development and Blended Learning in Accounting Education. International Journal of Education Economics and Development. DOI: 10.1504/IJEED.2025.10062903. Retrieved from https://www.researchgate.net/publication/383941084_Sustainable_Development_and_Blended_Learning_in_Accounting_Education

Kottara C., Asonitou S., Mukokoma M. M. N., Gonidakis F., & Kavalieraki-Foka D., 2023. Enhancement of Social and Teamwork Skills Through Blended Learning Methodology in Accounting Studies. In The International Conference on Strategic Innovative Marketing and Tourism (pp. 967-976). Springer Nature Switzerland. Retrieved from https://link.springer.com/chapter/10.1007/978-3-031-51038-0_104

Kottara C., Asonitou S., Anagnostopoulos T., Ntanos S., Choustoulakis E., 2024d. Exploring learning outcomes in financial accounting: a quasi-experimental study using Multiple Choice Question (MCQ) Test in blended learning environment. Journal of Research in Business and Management, 12(11), pp: 51-62. https://doi.org/10.35629/3002-12115162

Kottara, C., Asonitou, S., Kavalieraki-Foka, D., Georgopoulou, M. S., & Brinia, V., 2025e. Blended Learning in Accounting Education: a Comparative Analysis of Learning Theories. European Journal of Education Studies, Volume 12, Issue 1 (2025) pp: 153-182. https://doi.org/10.46827/ejes.v12i1.5775

Kottara C., & Asonitou S., 2024f. Artificial intelligence and the new norm in Financial and Managerial Accounting and Auditing. International Journal of Science and Research Archive, 13(2), pp: 3200–3212. https://doi.org/10.30574/ijsra.2024.13.2.2551.

Kottara C., Asonitou S., Tourna E., Psaromiligkos I., 2024g. The Teaching, Cognitive, and Social Presence in a Blended Learning Environment for an Undergraduate Accounting Course. In International Conference for the Promotion of Educational Innovation 10th, Larisa, Greece, Conference, EEPEK 2024. Retrieved from https://www.researchgate.net/publication/385698480_The_Teaching_Cognitive_and_Social_Presence_in_a_Blended_Learning_Environment_for_an_Undergraduate_Accounting_Course

Lata, P., 2024. Beyond Algorithms: Humanizing Artificial Intelligence for Personalized and Adaptive Learning. International Journal of Innovative Research in Engineering and Management, 11(5), 40-47. https://doi.org/10.55524/ijirem.2024.11.5.6

Nett, U. E., Goetz, T., & Daniels, L. M., 2010. What to do when feeling bored?: Students' strategies for coping with boredom. Learning and Individual Differences, 20(6), 626-638. Retrieved from https://doi.org/10.1016/j.lindif.2010.09.004

Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., ... & Xu, W., 2023. Six human-centered artificial intelligence grand challenges. International Journal of Human–Computer Interaction, 39(3), 391-437. Retrieved from https://doi.org/10.1080/10447318.2022.2153320

Rafsanjani, H. N., & Nabizadeh, A. H., 2023. Towards human-centered artificial intelligence (AI) in architecture, engineering, and construction (AEC) industry. Computers in Human Behavior Reports, https://doi.org/10.1016/j.chbr.2023.100319

Rane, N., Choudhary, S., & Rane, J., 2023. Education 4.0 and 5.0: Integrating artificial intelligence (AI) for personalized and adaptive learning. Available at SSRN 4638365. https://dx.doi.org/10.2139/ssrn.4638365

Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D., & Demir, I., 2024. Artificial intelligence-enabled intelligent assistant for personalized and adaptive learning in higher education. Information, 15(10), 596. https://doi.org/10.3390/info15100596

Sari, H. E., Tumanggor, B., & Efron, D., 2024. Improving Educational Outcomes Through Adaptive Learning Systems using AI. International Transactions on Artificial Intelligence, 3(1), 21-31. https://doi.org/10.33050/italic.v3i1.647

Schmidt, A., 2020. Interactive human centered artificial intelligence: a definition and research challenges. In Proceedings of the International Conference on Advanced Visual Interfaces (pp. 1-4). https://doi.org/10.1145/3399715.3400873

Sharp, J. G., Sharp, J. C., & Young, E., 2020. Academic boredom, engagement and the achievement of undergraduate students at university: A review and synthesis of relevant literature. Research Papers in Education, 35(2), 144-184. Retrieved from https://eprints.leedsbeckett.ac.uk/id/eprint/5369/1/AcademicBoredomEngagementandtheAchievementAM-SHARP.pdf

Sollosy, M., & McInerney, M., 2022. Artificial intelligence and business education: What should be taught. The International Journal of Management Education, 20(3), 100720. https://doi.org/10.1016/j.ijme.2022.100720

Teng, Y., Zhang, J., & Sun, T., 2023. Data‐driven decision‐making model based on artificial intelligence in higher education system of colleges and universities. Expert Systems, 40(4), http://dx.doi.org/10.1111/exsy.12820

Tze, V. M., Daniels, L. M., Klassen, R. M., & Li, J. C. H., 2013. Canadian and Chinese university students' approaches to coping with academic boredom. Learning and Individual Differences, 23, 32-43. https://doi.org/10.1016/j.lindif.2012.10.015

Topali, P., Ortega-Arranz, A., Rodríguez-Triana, M. J., Er, E., Khalil, M., & Akçapınar, G., 2024. Designing human-centered learning analytics and artificial intelligence in education solutions: a systematic literature review. Behaviour & Information Technology, 1-28. https://doi.org/10.1080/0144929X.2024.2345295

Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., & Pange, J., 2023. Exploring the potential impact of artificial intelligence (AI) on international students in higher education: Generative AI, chatbots, analytics, and international student success. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716

Yang, Q. F., Lian, L. W., & Zhao, J. H.,2023. Developing a gamified artificial intelligence educational robot to promote learning effectiveness and behavior in laboratory safety courses for undergraduate students. International journal of educational technology in higher education, 20(1), 18. Retrieved from https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00391-9

Xie, J., Xu, J., Wei, T., Gallo, K., Giles, M. E., Zhan, Y., ... & Liu, X., 2022. Contributing factors, attribution, and coping in academic boredom: an exploratory case study of graduate students in education. Adult Learning, 33(3), 99-113. https://doi.org/10.1177/1045159520987304

Zhao, F., Liu, G. Z., Zhou, J., & Yin, C., 2023. A learning analytics framework based on human-centered artificial intelligence for identifying the optimal learning strategy to intervene in learning behavior. Educational Technology & Society, 26(1), 132-146. https://www.jstor.org/stable/48707972

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Pubblicato

2025-02-06

Fascicolo

V. 12 N. 2 (2025)

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