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Understanding Student Perceptions in Digital Education Through Deep Learning Stacking Approach
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Author(s): Usharani Bhimavarapu (Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, India)
Copyright: 2025
Pages: 24
Source title:
Optimizing Research Techniques and Learning Strategies With Digital Technologies
Source Author(s)/Editor(s): J. Sadhik Basha (International Maritime College Oman, National University of Science and Technology, Oman), Taofeek Olanrewaju Alade (Department of Science Cluster, International Maritime College Oman, National University of Science and Technology, Oman), Mitha Obaid Amur Al Khazimi (Department of Science Cluster, National University of Science and Technology, Oman), Ranjit Vasudevan (Department of Science Cluster, National University of Science and Technology, Oman)and Jahanzeb Bahadur Khan (Department of Science Cluster, National University of Science and Technology, Oman)
DOI: 10.4018/979-8-3693-7863-2.ch003
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Abstract
Digital education has transformed the landscape of modern learning, offering unprecedented access to resources, flexibility, and personalized learning experiences. As universities embrace digital platforms for education delivery, it becomes crucial to understand student perceptions and feedback to enhance the overall educational experience. This study aims to analyze student feedback collected from a prominent northern Indian university, focusing on six critical aspects: teaching quality, course content, lab experiences, library facilities, and the environment of the institute. Using Natural Language Processing (NLP) techniques for data preprocessing, we performed aspect extraction and sentiment classification, employing Bi-Stacked Artificial Neural Networks (ANN) to categorize sentiments as positive, negative, or neutral. The results provide a comprehensive evaluation of the student experience, offering valuable insights into the strengths and areas for improvement within the institution.
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