Motivating students in learning mathematics with GeoGebra

Journal Title: Annals. Computer Science Series - Year 2010, Vol 8, Issue 2

Abstract

In this study, I researched three cases of educating mathematics with computer for the gifted students in Korea. The findings show that students were motivated to study math by various reasons (making their beautiful works, searching videos related with math and making materials for others). Students couldn’t these activities without GeoGebra and internet connection. Without GeoGebra, students couldn’t handle mathematical objects easily. Motivation outside mathematics could also help learning mathematics.

Authors and Affiliations

Kyeong-Sik Choi

Keywords

Related Articles

An In-depth Study of Typical Machine Learning Methods via Computational Techniques

The ability to model and perform decision modeling and analysis is an essential feature of many real-world applications ranging from emergency medical treatment in intensive care units to military command and control sys...

The certification of the EHR systems according to EuroRec Seal

As in any field, in the e-health domain it is very important that the designing of a computer system should start by establishing a complete set of requirements for the architecture of the future EHR system. The present...

Using Predictive Machine Learning Regression Model To Predict The Population Of Nigeria

In any nation, there is always a government in place charged with the responsibly of governing the citizens of the country and for effective governance, there should be plan based on the number of citizens (population) i...

From "Nolite turbare circulos meos!" to "Don’t delete my folder"

Arhimede îsi desena figurile pe nisipul plajei, pe pământ bătut sau în cenusă pusă pe o pardoseală ori pe propriul să corp, uns în prealabil cu untdelemn; pe corp trasa figurile cu ajutorul unghiei. Când generalul roman...

Alternative Estimator for Multivariate Location and Scatter Matrix in the Presence of Outlier

It is generally known that in estimating location and scatter matrix of multivariate data when outliers are presents, the method of classical is not robust. The Maximum Likelihood Estimator (MLE) is always very sensitive...

Download PDF file
  • EP ID EP160601
  • DOI -
  • Views 110
  • Downloads 0

How To Cite

Kyeong-Sik Choi (2010). Motivating students in learning mathematics with GeoGebra. Annals. Computer Science Series, 8(2), 65-76. https://europub.co.uk/articles/-A-160601