Expert Judgement Method to Determine
Attribute Weights for Effectively teaching
Mathematics in High Schools

V. Shanti; Dr. J. Anitha

doi:https://doi.org/10.14445/22315373/IJMTT-V66I3P510

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 66 | Issue 3 | Year 2020 | Article Id. IJMTT-V66I3P510 | DOI : https://doi.org/10.14445/22315373/IJMTT-V66I3P510

Expert Judgement Method to Determine Attribute Weights for Effectively teaching Mathematics in High Schools

V. Shanti, Dr. J. Anitha

Citation :

V. Shanti, Dr. J. Anitha, "Expert Judgement Method to Determine Attribute Weights for Effectively teaching Mathematics in High Schools," International Journal of Mathematics Trends and Technology (IJMTT), vol. 66, no. 3, pp. 71-76, 2020. Crossref, https://doi.org/10.14445/22315373/IJMTT-V66I3P510

Abstract

The present study gives a practical perspective of teaching mathematics for high school students based on analytical research conducted to improve the teaching and learning of mathematics. To develop the ability of problem solving and critical thinking, new pedagogy is implemented in mathematics curriculum. Teachers play an important role in developing new strategies and effectively implementing it in their classrooms. This article is mainly focused for developing teachers’ methods of interaction in mathematics classroom. The output of the study is to create an awareness in teachers about the pedagogy and a paradigm shift from teacher-centric method to learner-centric method. According to the study more emphasis should be given to co-operative learning as it considers the students level of understanding, achievement, skill set, style of learning and it builds social harmony between students with different backgrounds. Teachers should develop pedagogy in a way that the students acquire the academic knowledge and develop the skill set to face any kind of challenge in their day-to-day lives.

Keywords

Mathematics, Teachers, Pedagogy, Learner-centric approach, Attribute Weight Calculation Method, Co-operative learning.

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