“M-Auto”基于增强现实(AR)的学习媒体在语言与自动机理论课程有限状态自动机约简主题中的应用

F. Saputra, F. T. A. S. Laily, Dimas Prasetyo Buseri, Imro’aturrozaniyah Imro’aturrozaniyah, K. Kirana
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引用次数: 0

摘要

一个正确的学习过程应该包含创新、有趣、挑战和激励等方面。它应该能够根据学生的兴趣和才能,为他们提供一个发展创造力和独立性的机会。课堂学习活动缺乏趣味性和乏味性是导致学生学习兴趣下降的因素,例如语言与自动机理论和有限状态自动机约简课程。目前的研究旨在帮助语言和自动机理论在学习活动中更容易获得。通过基于增强现实的学习媒体,研究者希望学生能够培养他们对学习活动的理解和兴趣,特别是对有限状态自动机学科。当前的研究主题是基于增强现实的应用,作为语言、自动机理论和有限状态自动机材料的学习媒介。研究者采用文献研究法、图书馆研究法、问卷调查法等多种研究方法来支持当前的研究。该应用程序是根据系统开发进行设计的,包括问题识别、适当性研究、需求分析、概念设计、内容设计、脚本设计、图形设计、系统制作和系统测试。目前的研究成果是基于ar的学习媒体应用于语言和自动机理论的有限状态自动机约简课题。关键词:学习媒体,有限状态自动机约简,增强现实
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“M-Auto” The Augmented Reality-Based (AR) Learning Media Application for the Finite-State Automata (FA) Reduction Subject of Language and Automata Theory Courses
AbstractA proper learning process should contain innovative, amusing, challenging, and motivating aspects. It should be able to provide an opportunity for the students to develop their creativity and independence based on their interests and talent. Less interesting and tedious classroom learning activity indicates the factor of the students’ learning interest degradation, for example as in the language and automata theory and finite-state automata reduction subject. The current research aims to aid language and automata theory in a learning activity to be easier to acquire. With the Augmented Reality-based learning media, the researcher hopes that the students can develop their understanding and their interest in a learning activity, especially for finite-state automata subjects. The subject of the current research is the Augmented Reality-based application as the learning media for language and automata theory and finite-state automata material. The researcher employs several research methodologies such as literature review, library research, and questionnaire to support the current research. The application is designed according to system development that consists of problem identification, appropriateness study, need analysis, concept designing, content designing, script designing, graphic designing, system production, and system examination. The result of the current research is the AR-based learning media application for the finite-state automata reduction subject of language and automata theory. Keywords: Learning Media, Finite-State Automata Reduction, Augmented Reality
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