The Influence of Deep Learning on Students’ Learning Patterns
DOI:
https://doi.org/10.55927/eajmr.v4i11.483Keywords:
Deep Learning, Artificial Intelligence, Educational Technology, Personalized Learning, Educational TransformationAbstract
This study explored the influence of deep learning on students’ learning patterns, focusing on three dimensions: personalized learning experiences, adaptive learning paths, and active learning modes. A qualitative exploratory design was employed, collecting data from 25 participants, including students and educators at Shangqiu Normal University, through semi-structured interviews, classroom observations, and document analysis. Purposive sampling ensured diverse perspectives across computer science and non-computer science disciplines. Active learning modes promoted problem-solving, collaboration, and hands-on engagement, supporting autonomy and practical application of knowledge. Despite technical and resource challenges, the study demonstrates the transformative potential of deep learning and offers guidance for effective educational integration.
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