Abstract
This study looks at digital learning material as its qualified virtual practice/virtual experiment learning content and designs the best learning content to satisfy the existing definition of functions and services of digital learning material. The virtual practice/virtual experiment learning content service should meet the requirements. It is created considering a link to/synchronization with future learning content services built and operated by distance universities.
This research defined learning model scenarios based on failure-experience learning model in oxygen titration for chemical experiments. The research developed the failure-experience learning scenario for chemical experiments’ oxygen titration and developed a prototype for digital learning material service which will be provided to learners. It also conducted a survey asking learners on the developed virtual experiment learning material service. The survey results found that the service could be effective to improve the learning efficiency.
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Chung, K.S., Kim, Y.S., Jung, S.I., Lee, C.H., Kwon, S., Lee, N. (2020). Interactive Sensor-Based Virtual Experiment Digital Textbook System on Smart Phone and Learning Cloud. In: MartĂn-Vide, C., Vega-RodrĂguez, M.A., Yang, MS. (eds) Theory and Practice of Natural Computing. TPNC 2020. Lecture Notes in Computer Science(), vol 12494. Springer, Cham. https://doi.org/10.1007/978-3-030-63000-3_2
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DOI: https://doi.org/10.1007/978-3-030-63000-3_2
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