Teaching Simulator Development Based on Finite State Machine and Big Five Personality

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Wawan Setiawan, Siti Fatimah, Enjun Junaeti, Jajang Kusnendar, Rasim, M. Eagan Ramadhan, Ria Anggraeni, Joy M. Suba, Edwin D. Torres, Maynard Jay S. Galang

2020 Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019 Conference paper Cited by 0 Quartile

Abstract

Teaching Simulator is an application for teachers in the form of teaching simulation games. The teacher will be in a virtual class and interact with virtual students. Students have different characteristics based on the Big five Personality method and are created with the AI approach in the form of Finite State Machine. The teacher has one character based on a teaching approach. The end of the game is the achievement of teaching that shows the level of understanding and skills of players in carrying out teaching. We uses Research and Development Methods, the validity of the application use the learning object review Instrument (LORI), and the acceptance level of the application using the rating scale. The results showed that the application qualification was 94%, a very good category. The results of the game show an increase in teaching attainment of 78% to 93% with a frequency of games 5 times. Copyright © 2020 EAI

Affiliations

Universitas Pendidikan Indonesia, Bandung, Indonesia; University of Assumption, Manila, Philippines

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