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Sustainability of Evaluation: The Origin and Development of Value-Added Evaluation from the Global Perspective

Author

Listed:
  • Xiaopeng Wu

    (Faculty of Education, Northeast Normal University, Changchun 130024, China
    School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China)

  • Tianshu Xu

    (College of Teacher Education, East China Normal University, Shanghai 200062, China)

  • Jincheng Zhou

    (School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China
    Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Province, Duyun 558000, China
    Key Laboratory of Complex Systems and Intelligent Optimization of Qiannan, Duyun 558000, China)

Abstract

Education evaluation plays a key role in promoting education development. The sustainable concept of evaluation provides the basis for the sustainable development of education. Value-added evaluation makes up for the shortcomings of traditional evaluation that only focuses on the results. It takes the development of students and teachers and the improvement of the education system as the main variables of evaluation, providing a basis for the sustainable development of students. This study summarizes the origin and development of value-added evaluation, including its theoretical basis, value orientation, evaluation content and typical cases, and attempts to gain a deeper understanding of it through multiple evaluation methods. The research shows that the value-added evaluation showed a trend of more diversified evaluation indicators, diagnostic evaluation results, and emphasis on longitudinal analysis; value-added evaluation is based on the relative increase in value and emphasizes the “net increment” of students’ learning achievements; the content of value-added evaluation focuses on students’ academic achievements and teacher effect; the evaluation methods mainly include direct evaluation method, indirect investigation method and multivariate and hierarchical statistical method. This research has carried out a comprehensive analysis and interpretation of value-added evaluation to ensure the deep understanding and rational application of it.

Suggested Citation

  • Xiaopeng Wu & Tianshu Xu & Jincheng Zhou, 2022. "Sustainability of Evaluation: The Origin and Development of Value-Added Evaluation from the Global Perspective," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15867-:d:987437
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    References listed on IDEAS

    as
    1. Raj Chetty & John N. Friedman & Jonah Rockoff, 2016. "Using Lagged Outcomes to Evaluate Bias in Value-Added Models," American Economic Review, American Economic Association, vol. 106(5), pages 393-399, May.
    2. Kevin C. Bastian, 2019. "A Degree Above? The Value-Added Estimates and Evaluation Ratings of Teachers with a Graduate Degree," Education Finance and Policy, MIT Press, vol. 14(4), pages 652-678, Fall.
    3. Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017. "Leveraging Lotteries for School Value-Added: Testing and Estimation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 871-919.
    4. Jason A. Grissom & Brendan Bartanen, 2022. "Potential Race and Gender Biases in High‐Stakes Teacher Observations," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 41(1), pages 131-161, January.
    5. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2010. "Teacher Credentials and Student Achievement in High School: A Cross-Subject Analysis with Student Fixed Effects," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    6. Natalie Bau & Jishnu Das, 2020. "Teacher Value Added in a Low-Income Country," American Economic Journal: Economic Policy, American Economic Association, vol. 12(1), pages 62-96, February.
    7. Schiltz, Fritz & Sestito, Paolo & Agasisti, Tommaso & De Witte, Kristof, 2018. "The added value of more accurate predictions for school rankings," Economics of Education Review, Elsevier, vol. 67(C), pages 207-215.
    8. Aaker, Jennifer L & Williams, Patti, 1998. "Empathy versus Pride: The Influence of Emotional Appeals across Cultures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 241-261, December.
    9. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    10. Clotfelter, Charles T. & Ladd, Helen F. & Vigdor, Jacob L., 2007. "Teacher credentials and student achievement: Longitudinal analysis with student fixed effects," Economics of Education Review, Elsevier, vol. 26(6), pages 673-682, December.
    11. Bacher-Hicks, Andrew & Chin, Mark J. & Kane, Thomas J. & Staiger, Douglas O., 2019. "An experimental evaluation of three teacher quality measures: Value-added, classroom observations, and student surveys," Economics of Education Review, Elsevier, vol. 73(C).
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