KaydedilenlerDerginizi ekleyin

Dergiler / International Journal of Assessment Tools in Education / 2019 / Cilt: 6 - Sayı: 4

Using the Malmquist Index in Evaluation Process to Enhance Mathematical Literacy in High School Students

Ahmad SHAHVERANI
Mohsen ROSTAMY MALKHALİFEH
Niusha MOSTOLI
Mohammad Hasan BEHZADI
Sayfa
636–655
Yayın Tarihi
2022-10-18
DOI
—
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In general, the results from changes in productivity evaluation of students using the Malmquist Index showed that the students in the experimental group who learned problem-solving and realistic mathematics had an increase in the overall productivity evaluation factor after completing the training compared to the others.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The study aimed to calculate the evaluation of 9th grade female students and compare the development of the educational process in increasing mathematical literacy using the Malmquist Index at different time intervals.
📊
Temel Bulgular & Veri:The populations of the study were 120 ninth grade female students.
💡
Sonuç & Katkı:In general, the results from changes in productivity evaluation of students using the Malmquist Index showed that the students in the experimental group who learned problem-solving and realistic mathematics had an increase in the overall productivity evaluation factor after completing the training compared to the others.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Productivity Evaluation · The Malmquist Index · Mathematical Literacy

Özet

The study aimed to calculate the evaluation of 9th grade female students and compare the development of the educational process in increasing mathematical literacy using the Malmquist Index at different time intervals. This educational process was accomplished by analysing and integrating realistic mathematical education and mathematical problem-solving. The populations of the study were 120 ninth grade female students. Each student was as a DMU whose inputs were the math test score and the outputs were math test score of December and June. The data analysis method was based on (DEA) technique to calculate efficiency. The output-driven (CCR) model was used to determine students' performance coefficient. Then, the Malmquist Index was used to compare productivity evaluation after the end of the training course in December and the end of the year in June. In general, the results from changes in productivity evaluation of students using the Malmquist Index showed that the students in the experimental group who learned problem-solving and realistic mathematics had an increase in the overall productivity evaluation factor after completing the training compared to the others.

Abstract

The study aimed to calculate the evaluation of 9th grade female students and compare the development of the educational process in increasing mathematical literacy using the Malmquist Index at different time intervals. This educational process was accomplished by analysing and integrating realistic mathematical education and mathematical problem-solving. The populations of the study were 120 ninth grade female students. Each student was as a DMU whose inputs were the math test score and the outputs were math test score of December and June. The data analysis method was based on (DEA) technique to calculate efficiency. The output-driven (CCR) model was used to determine students' performance coefficient. Then, the Malmquist Index was used to compare productivity evaluation after the end of the training course in December and the end of the year in June. In general, the results from changes in productivity evaluation of students using the Malmquist Index showed that the students in the experimental group who learned problem-solving and realistic mathematics had an increase in the overall productivity evaluation factor after completing the training compared to the others.

🔖

Bu Makaleye Atıf Yap

SHAHVERANI, A., MALKHALİFEH, M. R., MOSTOLI, N., BEHZADI, M. H. (2022). Using the Malmquist Index in Evaluation Process to Enhance Mathematical Literacy in High School Students. International Journal of Assessment Tools in Education, Cilt: 6 - Sayı: 4, 636–655. https://ajindex.com/articles/540152

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (10)

  1. Adams, R., & Wu, M. (2000). Pisa 2000 Technical (OECD Organization for Economic Co-operation and Developmant). Paris: Publications 2 rue André-Pascal, 75775 Cedex 16, France. Alimohammadlou, M., & Mohammadi, S. (2016). Evaluating the Productivity Using Malmquist Index Based on Double Frontiers Data. Procedia - Social and Behavioral Sciences, 230(May), 58–66. https://doi.org/10.1016/j.sbspro.2016.09.008.
  2. Alvarez, R. (2018)."A Focus on Mathematical Literacy to Increase Student Understanding and Performance". (Master's dissertation). New York, USA. Retrieved May5, 2019, from https://digitalcommons.brockport.edu/ehd_theses/1169.
  3. Andersen, P., & Petersen, N. C. (1993). A Procedure for Ranking Efficient Units in Data Envelopment Analysis process (DEA). Management Science, 39(10), 1261-1264. https://doi.org/10.2307/2632964.
  4. Basic, T. H. E., & Model, C. C. R. (2005). The Basic CCR Model. In Data Envelopment Analysis (pp. 21–39). Boston: Kluwer Academic Publishers. https://doi.org/10.1007/0-306-47541-3_2.
  5. Breen, S., Cleary, J., & Shea, A. O. (2009). An investigation of the Mathematical literacy of first year third-level students in the Republic of Ireland. International Journal of Mathematical Education, 40(2), 229-246. https://doi.org/10.1080/00207390802566915.
  6. Burnett, N. (2005). literacy for life. Education for All. France: Printed by Graphoprint, Paris ISBN 92-3-104008-1©UNESCO.https://unesdoc.unesco.org/ark:/48223/pf0000141639.
  7. Chen, C., & Lin, M. (2006). Using DEA to Evaluate R & D Performance in the Integrated Semiconductor Firms - Case Study of Taiwan, International Journal of The Computer the Internet and Management, 14(3), 50–59. Del Río, L. S., Sanz, C. V., & Búcari, N. D. (2019). Incidence of a hypermedia output material on the teaching and learning of mathematics. Journal of New Approaches in Educational Research, 8(1), 50–57. https://doi.org/10.7821/naer.2019.1.334.
  8. Diewert, W. E., & Fox, K. J. (2010). Malmquist and Törnqvist productivity indexes: Returns to scale and technical progress with imperfect competition. Journal of Economics/ Zeitschrift Fur Nationalokonomie, 101(1), 73–95. https://doi.org/10.1007/s00712-010-0137-0.
  9. Douglas, W., Caves,E., Laurits, R., & Christensen, W. E. D. (2012). The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity Author ( s ): Douglas W. Caves, Laurits R. Christensen, W. Erwin Diewert Reviewed work ( s ): Published by: 50(6), 1393–1414.
  10. Esther, M., Pérez, M., Duque,