PREDICTION OF STUDENTS’ SCIENCE ACHIEVEMENT: AN APPLICATION OF MULTIVARIATE ADAPTIVE REGRESSION SPLINES AND REGRESSION TREES

Journal Title: Journal of Baltic Science Education - Year 2018, Vol 17, Issue 5

Abstract

Turkey is ranked at the 54th out of 72 countries in terms of science achievement in the Programme for International Student Assessment (PISA) survey conducted in 2015, which is a very big disappointment for that country. The aim of this research was to determine factors affecting Turkish students’ science achievements in order to identify the improvement areas using PISA 2015 dataset. To achieve this aim, Multivariate Adaptive Regression Splines (MARS) and Classification and Regression Trees (CART) approaches were used and these approaches were compared in terms of model accuracy statistics. Since Singapore was the top performer country in terms of science achievement in PISA 2015 survey, the analysis results of Turkey and Singapore were compared to each other to understand the differences. The results showed that MARS outperforms the CART in terms of measuring the prediction of students’ science achievement. Furthermore, the most important factors affecting science achievements were environmental optimism, home possessions and science learning time (minutes per week) for Turkey, while the index of economic, social and cultural status, environmental awareness and enjoyment of science for Singapore.

Authors and Affiliations

Serpil Kilic Depren

Keywords

Related Articles

IDENTIFICATION OF THE UNDERSTANDING OF THE STATES OF MATTER OF WATER AND AIR AMONG SLOVENIAN STUDENTS AGED 12, 14 AND 16 YEARS THROUGH SOLVING AUTHENTIC TASKS

The aim of the research was to identify how Slovenian primary and secondary school students of various age groups explain the particulate nature of the states of matter of water and air. The qualitative research included...

THE EFFECT OF PROJECT-BASED SCIENCE EDUCATION PROGRAMME ON SCIENTIFIC PROCESS SKILLS AND CONCEPTIONS OF KINDERGARTEN STUDENTS

The research aims to find out the effect of project-based science education programme conducted with an active learning on scientific process skills and conceptions of 6-year-old children about nature of science. Quasi-e...

MAKING CONCEPT MAPS USEFUL FOR PHYSICS TEACHER EDUCATION: ANALYSIS OF EPISTEMIC CONTENT OF LINKS

In physics teacher education the use of graphical knowledge representation tools like concept maps are abundantly used because they are known to support the formation of organised knowledge. It is widely assumed that cer...

THE EFFECTS OF USING BLOG AS A WEB TOOL IN BIOLOGY TEACHING IN HIGH SCHOOLS

The Internet is a service where much information from the world of science, technology, fashion and entertainment can be found. With the development of mobile devices, information from the Internet has become available a...

AGRICULTURAL STUDENTS’ KNOWLEDGE OF PHOTOSYNTHESIS AND THE CONTEXTUAL FACTORS THAT INFLUENCE IT

This research aimed to assess the knowledge of photosynthesis among students in agricultural education and understand the influence of the contextual factors on it. In photosynthesis, biomass is produced, so understandin...

Download PDF file
  • EP ID EP438669
  • DOI -
  • Views 110
  • Downloads 0

How To Cite

Serpil Kilic Depren (2018). PREDICTION OF STUDENTS’ SCIENCE ACHIEVEMENT: AN APPLICATION OF MULTIVARIATE ADAPTIVE REGRESSION SPLINES AND REGRESSION TREES. Journal of Baltic Science Education, 17(5), 887-903. https://europub.co.uk/articles/-A-438669