THE IMPACT OF HUMAN-CENTERED ARTIFICIAL INTELLIGENCE IN HIGHER EDUCATION
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.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0447/a.php" alt="Hit counter" /></p>
Authors
- Chara Kottara
- Sofia Asonitou (ORCID: https://orcid.org/0000-0002-5217-127X)
Publication Details
- Journal
- European Journal of Education Studies
- Published
- 2025-02-06
- DOI
- https://doi.org/10.46827/ejes.v12i2.5796
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00