Machine Learning For Identification of Learning Modalities

Authors

  • Julia Kurniasih Informatics Program, Universitas Sarjanawiyata Tamansiswa
  • Agung Budhi Wibowo Vocational School, Universitas Gadjah Mada

Keywords:

machine learning, forward chaining, learning, modality

Abstract

Learning modality is a way of absorbing information through our senses. Learning modalities are important to identify because the potential for successful learning in academics is one of them supported by the right learning modalities. The appropriate learning modality will support a person's success in learning and achieving good achievements. Machine Learning is a subset of Artificial Intelligence (AI) that can understand the structure of data and put that data into models that people can understand and benefit from. This study aims to identify a person's learning modality by implementing Machine Learning techniques using the Forward Chaining method. Forward Chaining is a method of concluding based on existing data or facts that lead to conclusions. Forward Chaining searches from a problem to a solution. The parameters used in this study are communication, learning, preferences, memory, and attitudes. The results of the identification of modalities are categorized into seven types, namely visual, auditory, kinesthetic, visual-auditory, auditory-kinesthetic, visual-kinesthetic and visual-auditory-kinesthetic.

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Published

2022-08-19