864
Views
27
CrossRef citations to date
0
Altmetric
Original Articles

Conceptual change in learning genetics: an ontological perspective

&
Pages 185-202 | Published online: 13 Oct 2010
 

Abstract

This article examines conceptual learning of genetics in a Year 10 Australian classroom from an ontological perspective. The study was part of a larger research project about teaching and learning genetics with computer‐based multiple representations. Genetics is an important but difficult topic to teach and learn at school. The study used an interpretive research approach with a case‐study design. Over six weeks, the science teacher taught genetics and engaged his students in computing activities of BioLogica, an interactive program that features multiple representations. Data were collected from multiple sources including classroom observations, interviews and online tests. Data analyses and interpretations indicated that gene conceptions of most students were not sophisticated and that they did not have radical conceptual change that involves a shift across the ontological categories of matter and processes. The findings were largely consistent with students' prior knowledge and the teacher's teaching. The authors highlight the role of the classroom teacher and the use of multiple representations in fostering ontological conceptual change and suggest some directions for further research.

Notes

* Corresponding author: Science and Mathematics Education centre, Curtin University of Technology (Kent Street), PO Box U1987, Perth WA 6845, Australia. Email: [email protected]

BioLogica is an interactive computer program developed with the latest computer technology in a project funded by the National Science Foundation. The first author is granted permission by the Concord Consortium of the USA to use BioLogica in Australian schools for his doctoral research. Individual teachers may download the program free from the website http://biologica.concord.org for classroom use.

Acronym for the software ‘Non‐numerical Unstructured Data Indexing, Searching and Theorising’.

Additional information

Notes on contributors

David F. Treagust Footnote*

* Corresponding author: Science and Mathematics Education centre, Curtin University of Technology (Kent Street), PO Box U1987, Perth WA 6845, Australia. Email: [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

ISS Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,007.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.