Development of Student Worksheets Using a Deep Learning Approach for Ecosystem and Environmental Diversity

Authors

  • Ilmi Zajuli Ichsan Scopus ID: 57209737062, Universitas Negeri Jakarta
  • Inggit Woro Safitri Universitas Mohammad Husni Thamrin
  • Fauza Agustina Universitas Mohammad Husni Thamrin
  • Tini Tini Universitas Mohammad Husni Thamrin
  • Ester Monita Widyawati Universitas Mohammad Husni Thamrin
  • Susi Barini Universitas Mohammad Husni Thamrin
  • Widyastanti Widyastanti Universitas Mohammad Husni Thamrin
  • Tri Hendrawati Universitas Mohammad Husni Thamrin
  • Rif’ah Rif’ah Universitas Mohammad Husni Thamrin
  • Susanti Meytiyasari Universitas Mohammad Husni Thamrin

DOI:

https://doi.org/10.24252/al-ahya.v8i2.65345

Keywords:

deep learning, student worksheets, environment, ecosystem diversity

Abstract

Environmental learning at the elementary school level prioritizes thoroughness and accuracy in discussing topics. The deep learning approach is considered a solution to students' shallow understanding of the environment. One of the impacts is related to the topic of ecosystem and environmental diversity. The purpose of this study is to develop student worksheets with a deep learning approach on the topic of ecosystem and environmental diversity. The method used in this study is research and development (R&D) with the ADDIE development stage approach. The results of this study indicate that the developed worksheets have very valid categories (Score above 80%) and are therefore suitable for use in learning. As for the future, the developed worksheet products can be continued to the implementation and evaluation stages to measure the effectiveness of the developed worksheets.

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Published

2026-10-04

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