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Construction of "Guided-Learning" and Reformation on Practice Education of “Agricultural Plant Pathology” Based on Data Statistics

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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

In this paper, the "Agricultural Plant Pathology" course in the practice of teaching, "Learning Plan Guidance" was led by the guidance of teachers, students self-learning as the main body, to study the case as a carrier to Guidance for the way teachers and students syllabus and test applications as a "guiding" the courses. Students learn and done in the "confirmatory test", the comprehensive nature of the experimental and innovative experimental content, places most of students to "study or inquiry," the study. In the experimental teaching, through careful selection of experimental content, to create innovative experiments, comprehensive experiment, update teaching methods, improve management and reform of experimental teaching evaluation methods, the ability to enable students to fully develop and improve. Plant Pathology in the Practice of Teaching a "Learning Plan Guidance" and "research or inquiry," a combination of experimental teaching model for innovation or a combination of experimental study has been widely welcomed by students.

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© 2011 Springer-Verlag Berlin Heidelberg

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Shi, Mw., Yang, R., Lu, Nh., Deng, Px. (2011). Construction of "Guided-Learning" and Reformation on Practice Education of “Agricultural Plant Pathology” Based on Data Statistics. 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_15

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  • DOI: https://doi.org/10.1007/978-3-642-23345-6_15

  • 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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