Abstract
We propose a portable and convenient learning assisted system by using Android Smartphone with wireless sensors. The system senses and collects the data of learning behaviors with the Smartphone as the processing unit. In order to optimize the inference, we used SVM (Support Vector Machine) technology to analyze the collected data. For the evaluation experiment, we invite college students to use it. The result shows that 78% of subject feels satisfied with the usage and interface of the system. In addition, the average accuracy of the prediction model using progress label is 83%. In conclusion, we confirmed the feasibility of improving study effect by using Smartphone with wireless sensors.
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Tsai, TC., Peng, CT. (2011). A Smartphone Assisted Learning System with Wireless Sensors. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23345-6_100
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DOI: https://doi.org/10.1007/978-3-642-23345-6_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23344-9
Online ISBN: 978-3-642-23345-6
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