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Role of machine learning in improving tourism and education sector

  • Manoj L. Bangare
  • , Pushpa M. Bangare
  • , Elia Ramirez-Asis
  • , Robert Jamanca-Anaya
  • , Chirasak Phoemchalard
  • , Dada Ab Rouf Bhat
    • Savitribai Phule Pune University
    • Sinhgad College of Engineering
    • Universidad Cesar Vallejo
    • Universidad Nacional Santiago Antunez de Mayolo
    • University of Jammu

    Research output: Contribution to journal › Conference article › peer-review

    24 Citations (Scopus)

    Abstract

    Tourism is viewed as a major economy booster. Although tourism has a beneficial influence on the economy in terms of national income generation, job creation, tax revenue generation and foreign exchange generation, it is a multi-segment sector. As a primary goal of higher education institutions, improving student performance is a top priority. Before a performance improvement program can be designed, it is necessary to map the students' current situation. Traditional computer techniques in the IT industry differ from machine learning. To describe or solve a problem, computers utilize a set of well-written instructions. Data inputs for factual research can be prepared using master learning approaches by computers. We'll look at how machine learning can be used in the tourist and education sectors.

    Original languageEnglish
    Pages (from-to)2457-2461
    Number of pages5
    JournalMaterials Today: Proceedings
    Volume51
    DOIs
    Publication statusPublished - 2022
    Event2021 International Conference on Advances in Materials Science, ICAMS 2021 - Virtual, Online, India
    Duration: 11 Sept 2021 → 12 Sept 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 8 - Decent Work and Economic Growth
      SDG 8 Decent Work and Economic Growth

    Keywords

    • Classification
    • Learning analytics
    • Machine learning
    • Predictive analytics
    • Tourism prediction

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