Artificial Intelligence in Learning: Between Cognitive Innovation and the Responsibility of Preserving Human Curiosity
Abstract
Artificial intelligence (AI) has reshaped the world in different ways. This impact extends to fields of learning and education. Such technologies are considered revolutionary tools in these fields. AI has altered different areas of education, including pedagogical training methods. Its advances are unlimited in time-saving, lessen effort, self-reliance in learning, and autonomous answers. Despite the advantages mentioned above, the use of AI in education and learning is not without flaws, particularly in critical thinking and problem-solving. It provides learners with ready-made information. As a result, it blocks the main human features of using their mindsets in thinking and problem-solving. One of the intrinsic features of human beings is curiosity, which drives them to find and learn more about anything they encounter. These tools have their own challenges in making the surface learning is the dominant than the deep learning. There are many ethical issues are related to using AI in learning and education, such students’ privacy, bias and confidentiality. The governments must play crucial roles in establishing a set of rules and restrictions that control the use of these technologies in such fundamental fields. We must not forget teachers' responsibility and the roles that might have in restricting such tools. Because if teachers continue use AI programs and encourage students to do the same, the role of teachers will be passive in the future.
How to Cite This Article
Maha Kareem Kamil, Najlaa Hayyawi Abbar (2025). Artificial Intelligence in Learning: Between Cognitive Innovation and the Responsibility of Preserving Human Curiosity . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 6(6), 80-84.