PENGEMBANGAN MATERI AJAR TEMA BEGRÜSSUNG DI WEB TEACHABLE MACHINE UNTUK KETERAMPILAN BERBICARA BAHASA JERMAN KELAS XI

  • Muhammad Farhan Fauzy Universitas Negeri Surabaya
  • Dwi Imroatu Julaikah Universitas Negeri Surabaya

Abstract

 Teachable machine is a tool that can introduce students to the fact that artificial intelligence is beneficial to the educational process. It can be a new reference for teachers and mentors, and there are new learning media that suit this era. The background of this study is the use of artificial intelligence in recent years and the need for media renewal for German-speaking skills. Utilization of artificial intelligence in the educational field can accelerate the learning process. The formulation of the problem in this study is how to develop teaching materials on the web teachable machine for German speaking skills for second grade senior high school. The goal of this research is to describe the development of teaching material on a teachable machine website for German-speaking skills in second-class senior high schools. This research uses the research and development method by Borg and Gall. This research is limited to five stages, which are the design revision stages. At the validation stage, both material and media validation showed good result. The result of this research shows that teachable machine are qualified to be established as learning media because the result of the validation process shows 88,5% for material validation and 88% for media validation. The result of material validation and media validation shows a range between 75-89%; therefore, the teachable machine is fit and does not need revision. The conclusion is that teachable machine can be used for learning media for German-speaking skills in second grade senior high school.

Published
2023-07-15
How to Cite
Fauzy, M., & Julaikah, D. (2023). PENGEMBANGAN MATERI AJAR TEMA BEGRÜSSUNG DI WEB TEACHABLE MACHINE UNTUK KETERAMPILAN BERBICARA BAHASA JERMAN KELAS XI. LATERNE, 12(02), 76-85. Retrieved from https://ejournal.unesa.ac.id/index.php/laterne/article/view/55069
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