Abstract
This paper presents the development of e-learning platform for reinforcement learning on temperature sensor experimental module based on the graphical monitoring and control system. The e-learning platform in its current configuration aims at enabling experience of students in temperature sensor. It is integration graphical monitoring and control with four different temperature sensor devices. In this platform, the students can realize not only the characteristics, function and application of different temperature sensors but also learn to use the graphical monitoring and control system. In advance, the students can design e-learning platform to monitor and control the sensor module. The students learn, verify and realize lecture concepts by performing different sensor experiments in the laboratory via e-learning platform. They work in teams, design and implement their sensor systems and demonstrate their experimental results in orally present.
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Shyr, WJ. (2007). Develop e-Learning Platform for Reinforcement Learning on Temperature Sensor. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_11
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DOI: https://doi.org/10.1007/978-3-540-74827-4_11
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