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Adapting Recommendations on Environmental Education Programs

Author

Listed:
  • Katerina Kabassi

    (Department of Environment, Ionian University, 29100 Zakynthos, Greece)

  • Anastasia Papadaki

    (Information Systems, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece)

  • Athanasios Botonis

    (Department of Environment, Ionian University, 29100 Zakynthos, Greece)

Abstract

Stakeholders in Environmental Education (EE) often face difficulties identifying and selecting programs that best suit their needs. This is due, in part, to the lack of expertise in evaluation knowledge and practice, as well as to the absence of a unified database of Environmental Education Programs (EEPs) with a defined structure. This article presents the design and development of a web application for evaluating and selecting EEPs. The certified users of the application can insert, view, and evaluate the registered EEPs. At the same time, the application creates and maintains for each user an individual and dynamic user model reflecting their personal preferences. Finally, using all the above information and applying a combination of Multi-Criteria Decision-Making Methods (MCDM), the application provides a comparative and adaptive evaluation in order to help each user to select the EEPs that best suit his/her needs. The personalized recommendations are based on the information about the user stored in the user model and the results of the EEPs evaluations by the users that have applied them. As a case study, we used the EEPs from the Greek Educational System.

Suggested Citation

  • Katerina Kabassi & Anastasia Papadaki & Athanasios Botonis, 2023. "Adapting Recommendations on Environmental Education Programs," Future Internet, MDPI, vol. 15(1), pages 1-12, January.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:1:p:28-:d:1025097
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    References listed on IDEAS

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