BIOLOGY TEACHING THROUGH SELF-REGULATED LEARNING AND COGNITIVE STRUCTURE: AN ANALYSIS OF THE EFFECT OF LEARNING STRATEGIES FOR COGNITIVE DEVELOPMENT VIA LATENT GROWTH MODEL Cover Image

BIOLOGY TEACHING THROUGH SELF-REGULATED LEARNING AND COGNITIVE STRUCTURE: AN ANALYSIS OF THE EFFECT OF LEARNING STRATEGIES FOR COGNITIVE DEVELOPMENT VIA LATENT GROWTH MODEL
BIOLOGY TEACHING THROUGH SELF-REGULATED LEARNING AND COGNITIVE STRUCTURE: AN ANALYSIS OF THE EFFECT OF LEARNING STRATEGIES FOR COGNITIVE DEVELOPMENT VIA LATENT GROWTH MODEL

Author(s): Guntay Tasci, Halil Yurdugül
Subject(s): Education, School education, Cognitive Psychology
Published by: Scientia Socialis, UAB
Keywords: biology education; cognitive structure; self-regulated learning; latent growth modelling;

Summary/Abstract: This research applied the learning strategies to predict in an effect longitudinal growth of cognitive structure of students in biology. The aim of the research is to assess the effect of activating learning strategies on cognitive structures regarding biology. The research was conducted by using control group design. The sample of research was composed of 60 prospective teachers randomly assigned to the experimental and the control groups. The longitudinal data were collected every 2 weeks and 4 times in total considering the concept maps. The data were quantitatively analysed in terms of the number of concepts, connections and central concepts. Latent growth modelling (LGM) was used to analyse change in cognitive structure over time. The findings suggested that the experimental group did better in cognitive structure than the control group in terms of forming connections and central concepts. Accordingly, teaching students self-regulated learning strategies and providing support in the written material to activate the strategies influence the development of cognitive structure in a positive way in terms of the extent and the integration. Therefore, activation of the use of self-regulated learning strategies in the teaching are thought to contribute to the learning of biology.

  • Issue Year: 16/2017
  • Issue No: 1
  • Page Range: 20-31
  • Page Count: 12
  • Language: English