622
Views
4
CrossRef citations to date
0
Altmetric
Articles

Investigating Elementary Preservice Teachers’ Designs for Integrated Science/Literacy Instruction Highlighting Similar Cognitive Processes

ORCID Icon & ORCID Icon
Pages 507-527 | Published online: 15 Apr 2019
 

ABSTRACT

The purpose of this study was to investigate the ways in which preservice elementary teacher candidates designed integrated reading and science lessons that evoked the use of similar cognitive skills in both subjects, such as sequencing, predicting, classifying, or noting cause and effect. The authors provided the candidates with a lesson plan template focused on making meaning for hands-on science activities along with appropriate fiction or nonfiction texts. We used qualitative content analysis to determine the candidates’ (a) general approaches to integrated lesson planning, (b) use of pedagogical moves to promote science understanding and reading comprehension, and (c) use of essential elements of inquiry-based teaching. Results indicated most candidates demonstrated proficiency and creativity in identifying specific pedagogical moves to highlight students’ cognition and metacognition of similar thinking skills and to drive home the science concepts. We discuss the possibilities for using science to leverage reading comprehension and reading to leverage science understandings in elementary classrooms.

Appendix: Integrated reading/science lesson plan template

Materials and preparation

Objective and assessments

Academic language

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

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 132.00 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.