Application and Research of Data Mining in Micro Course Platform Construction

Bao Xian Jia

doi:10.4028/www.scientific.net/AMR.962-965.3003

Paper Titles

Safety Evaluation of Tensile Anchored Dock Wall Structure
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Angle-Domain Gathers Computation Using Poynting Vector of Two-Way Acoustic Wave Equation
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Overview of High Precision Adaptive Numerical Manifold Method
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Analysis on the Wheat Growers Insurance Purchasing Decisions in Hebei Province China
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Application and Research of Data Mining in Micro Course Platform Construction
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Study on the Course Reform of “EDA Technology”
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Application of AHP - Fuzzy Comprehensive Evaluation Method in Students Assessment
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Cultivation of Students' Creativity in University Architectural Education in the 21st Century
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The Dialectical Relationship between Construction Organization Design and Engineering Cost
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Application and Research of Data Mining in Micro...

Application and Research of Data Mining in Micro Course Platform Construction

Abstract:

Data mining can be used to make modeling for individual learner's usage record, combining with learner's basic information to make analysis of his habits, personal preferences to provide personalized service for the learner. At the same time by collecting and counting learners’ recent access information in micro course platform to analyse the learning content, compare and match with mining pattern, and to sort according to the matching degree, forecasting the most possible knowledge for the learner in the next step, attaching sorting result to the end of the learner’s requested page, for the learning content recommendation consequently, etc. Paper mainly introduced the specific application of data mining in micro course platform BBS. Key words: data mining, micro courses, personalized recommendation

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

3003-3006

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.3003

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Online since:

June 2014

Authors:

Bao Xian Jia*

Keywords:

Data Mining (DM), Micro Courses, Personalized Recommendation

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* - Corresponding Author

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