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Design of a Supporting System for Consultation of Instructional Improvement

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 772))

Abstract

In many universities instructional designers consult and provide appropriate advice to faculty members about instructional improvement. It usually takes many times for such instructional consultation. We have developed a supporting system useful for instructional designers to provide expert advice to their clients in the instructional consultation. We made a questionnaire for evaluating a course instruction by students in an effort of the system development, in which we compose items based on ARCS motivation model. The questionnaire has superiority over existing ones in term of narrowing down the strategies of instructional improvement, so that instructional designers prepare appropriate tactics of improvement to their clients in shorter period. Then we developed a prototype system that automatically detects improvements by analyzing the result of the questionnaire, and to suggest several suitable improvement tactics. This proposal showed the possibility to semi-automate multiple steps of motivational design of instruction in relatively short time.

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References

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 17K00489.

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Correspondence to Yusei Suzuki .

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Suzuki, Y., Matsuba, R., Suzuki, K., Kita, T., Kubota, SI., Nishino, H. (2019). Design of a Supporting System for Consultation of Instructional Improvement. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_86

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