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March 14, 2026International Journal of Agile Systems and Management0 citations

Course recommendation system for sustainable development in education using the unified deep recommender system

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SKSantoshi Kumari

Key Points

  • The study aims to develop a course recommendation system that promotes sustainable development in education.
  • Utilized a unified deep recommender system for course recommendations.
  • Focused on integrating sustainable development concepts in educational contexts.
  • Explored the potential of technology in enhancing course selection.
  • Demonstrated the effectiveness of the system in promoting sustainable development.
  • Showed positive implications for educational practices in environmental and ecological economics.
  • Highlighted the role of computing and technology in course recommendations.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Santoshi Kumari (2026) studied this question.

synapsesocial.com/papers/69b4b9eb18185d8a39802350https://doi.org/10.1504/ijasm.2026.10076957
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Research on deep learning-driven adaptive course resource recommendation and instructional planning2026
  2. 2Personalised News Recommendation System Based On Computer Artificial Intelligence Technology2026
  3. 3English learning behaviour analysis and intelligent recommendation system driven by big data2026
  4. 4Personalised recommendation methods for information resources on English online learning platforms2025
  5. 5Qualitative exploration of AI-based tools to drive sustainable education development2026