The Research and Application of Process Evaluation Method on Prosthodontics Web-Based Course Learning

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)

Abstract

Aim To explore and apply a comprehensive evaluation method for web-based prosthodontics course learning. Methods A set of evaluation index system of prosthodontics web-based course learning process was preliminarily constructed through analyzing the influencing factors of web-based course learning effect. Expert consulting method and analytic hierarchy process were applied for the determination of the quality model of web-based course and the weights of each indicator. Delphi technique was used for the evaluation of the rationality of every index weight. A standard evaluation system was finally formed. The evaluation system combined with topsis method was applied in the evaluation of the web-based course learning effect of the five-year system dental students. Results Through multiple screening and weighting, a multistage model of web-based courses’ evaluation was established, including 4 primary indexes, 7 secondary ones and 19 third ones. The general scores and ranks of the students were obtained from the comprehensive evaluation method and combined with topsis method. Conclusion This evaluation method includes the learning process and outcome, integrates the qualitative analysis and quantitative analysis, which assures the evaluation results to be objective and just.

Keywords

Prosthodontics Web-based course Analytic hierarchy process Delphi technique Topsis method 

References

  1. 1.
    Barrios M, Villarroya A, Borrego Á et al (2011) Response rates and data quality in web and mail surveys administered to Ph.D. holders. Soc Sci Comput Rev 29(2):208–220CrossRefGoogle Scholar
  2. 2.
    Chang A, Gardner G, Duffield C et al (2010) A Delphi study to validate an advanced practice nursing tool. J Adv Nurs 66(10):2320–2330CrossRefGoogle Scholar
  3. 3.
    Joinson AN, Reips U-D (2007) Personalized salutation, power of sender and response rates to web-based surveys. Comput Hum Behav 23(3):1372–1383CrossRefGoogle Scholar
  4. 4.
    Rangone A (1996) An analytical hierarchy process framework for comparing the overall performance of manufacturing departments. Int J Oper Prod Manag 16(8):104CrossRefGoogle Scholar
  5. 5.
    Hwang CL, Yoon K (1981) Multiple attribute decision making: methods and application. Springer-Verlag, BerlinCrossRefGoogle Scholar
  6. 6.
    Kuo RJ, Wu YH, Hsu TS (2012) Integration of fuzzy set theory and TOPSIS into HFMEA to improve outpatient service for elderly patients in Taiwan. J Chin Med Assoc 75(7):341–348CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of Prosthodontics School of StomatologyThe Fourth Military Medical UniversityXi’anChina
  2. 2.Department of Epidemiology School of Public HealthThe Fourth Military Medical UniversityXi’anChina

Personalised recommendations