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The Supervision Model of Professional Experience Training by Using Intelligent Portfolio with the Service Agent

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1135))

Abstract

The research objectives were to (1) develop the supervision model of professional experience training by using the intelligent portfolio with the service agent (2) evaluate the suitability of the development model, the supervisory model, the professional experience training by using the intelligent portfolio with the service agent. This paper presented the supervision model of professional experience training by using an intelligent portfolio with the service agent. As a result of the study and there was a synthesis of the intelligent portfolio model in order to be the supervision model of professional experience training by integrating the service agent technology. In this format found that the intelligent portfolio with a service agent for the supervision model of professional experience training consisted of the four main components as follows (1) the import factor, (2) the process, (3) the evaluation, and (4) the feedback. With the intelligence of the service agent, the information could be screened and retrieved in accordance with the criteria of the rubric. The results of the research could be applied to the vocational certificate education to enhance the professional skills in practicing vocational training under the curriculum of the office of the Vocational Education Commission. The results of the evaluation of the supervision model of professional experience training by using the intelligent portfolio with the service agent found that the average score on all side was at the highest level.

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Correspondence to Sittidat Kittiviriyakarn .

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Kittiviriyakarn, S., Piriyasurawong, P. (2020). The Supervision Model of Professional Experience Training by Using Intelligent Portfolio with the Service Agent. In: Auer, M., Hortsch, H., Sethakul, P. (eds) The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1135. Springer, Cham. https://doi.org/10.1007/978-3-030-40271-6_67

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