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Related Experiment Video

Updated: Jun 7, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Harnessing hybrid deep learning approach for personalized retrieval in e-learning.

Sidra Tahir1, Yaser Hafeez1, Mamoona Humayun2

  • 1University Institute of Information Technology, PMAS Arid Agriculture University, Rawalpindi, Pakistan.

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Summary

This study introduces a Deep Learning-based Course Recommendation System (DLCRS) to address challenges in online learning. The DLCRS offers accurate, learner-centric course suggestions, achieving an 89.62% AUC score.

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Area of Science:

  • Artificial Intelligence
  • Educational Technology
  • Computer Science

Background:

  • The COVID-19 pandemic accelerated the adoption of online learning platforms.
  • Diverse user knowledge frameworks create challenges in selecting appropriate online course materials.
  • Existing recommendation systems struggle to provide personalized and accurate course suggestions.

Purpose of the Study:

  • To propose a novel Deep Learning-based Course Recommendation System (DLCRS).
  • To enhance the accuracy and learner-centricity of online course recommendations.
  • To address the limitations of current systems in handling user knowledge variations.

Main Methods:

  • Developed a hybrid Sequential GRU+adam optimizer combined with collaborative filtering.
  • Integrated learner and course feature extraction modules using Embeddings from Language Models (ELMO) word embeddings.
  • Conducted extensive experiments on authentic datasets from a public organization.

Main Results:

  • Achieved a significant Area Under the ROC Curve (AUC) score of 89.62%.
  • Demonstrated a hit ratio of 0.88, indicating high accuracy in course suggestions.
  • Outperformed existing advanced course recommendation systems in experimental evaluations.

Conclusions:

  • The proposed DLCRS effectively provides accurate and learner-centric course recommendations.
  • The system's viability is supported by strong experimental results and high accuracy metrics.
  • DLCRS offers a promising solution for navigating the complexities of online educational resources.