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Improvement of Teaching Mode and Its Effect on Experiments in Material Mechanics with Information Technology

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Advances in Computer Science, Environment, Ecoinformatics, and Education (CSEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 216))

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Abstract

This paper presents some significant methods to improve the teaching efficiency of the course "Experiments in Material Mechanics" in case of the limited teaching period that has been largely reduced in the past years. In our practice, the total teaching process was divided into experiments in class, self-study experiments and experiments outside class. Some modern teaching instruments were applied to save class time, and the multi-links testing pattern was put forward to meet the present experiment teaching mode. The applicability of the proposed teaching methods was tested, and the future task about the further improvement of the teaching technique was analyzed and discussed.

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References

  1. Liao, M.-k., Wang, Q.: Teaching Methods Discussion of Engineering Mechanics in Limited Less Class Time. Equipment Manufacturing Technology 8, 191 (2009)

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  2. Zhang, X.-d., Li, X.-j.: The Role for the Opening Laboratory in the Promotion of Student Science and Technology Contest. Experiment Science and Technology 8, 134 (2010) (in Chinese)

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  3. Wang, J., Su, F., Ge, Y.: Reform and exploration on engineering mechanics experimental teaching. Experimental Technology and Management 1, 130 (2010) (in Chinese)

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© 2011 Springer-Verlag Berlin Heidelberg

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Chang, L., Sun, Y., Xu, J. (2011). Improvement of Teaching Mode and Its Effect on Experiments in Material Mechanics with Information Technology. 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_8

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  • DOI: https://doi.org/10.1007/978-3-642-23345-6_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23344-9

  • Online ISBN: 978-3-642-23345-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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