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A longitudinal trajectory of science learning motivation in korean high school students

  • Sein Shin
  • , Arif Rachmatullah
  • , Minsu Ha
  • , Jun Ki Lee*
  • *Corresponding author for this work
  • Chungbuk National University
  • North Carolina State University
  • Kangwon National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

This research examined longitudinal trajectories of Korean students’ motivation to learn science using group-based trajectory modeling (GBTM). The changes in five motivational constructs were focused in this research: self-efficacy, intrinsic motivation, grade motivation, self-determination, and career motivation. In addition, the relationship between academic track of students and each trajectory group was examined. Using Science Motivation Questionnaire II, data from 255 male high school students were collected during five semesters. Longitudinal data were analyzed by GBTM.. Chi-square analysis was also conducted to examine the relationships between academic track and each trajectory. As a result, it was found that students shared the same trajectory patterns in self-efficacy. Otherwise, two distinct trajectory groups (‘high’ and ‘low’) were found in each four constructs. There were significant correlations between academic track and trajectory groups. The findings of this research suggest that Korean science educators need to consider individual student’s longitudinal trajectory of motivation to provide better science teaching and learning.

Original languageEnglish
Pages (from-to)674-687
Number of pages14
JournalJournal of Baltic Science Education
Volume17
Issue number4
StatePublished - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Academic track
  • Group based trajectory modeling
  • High school
  • Longitudinal study
  • Science learning motivation

Quacquarelli Symonds(QS) Subject Topics

  • Education & Training

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