Bridging Inferences and Learning from Multiple Complementary Texts

Matthew T. McCrudden, Linh Huynh, Bailing Lyu, Jonna M. Kulikowich

Research output: Contribution to journalLetterpeer-review

11 Scopus citations

Abstract

The purpose of this study was to investigate bridging inferences and learning when students with low topic knowledge read multiple complementary biology texts. Using a think-aloud protocol, we assessed students’ (n = 74) cognitive processes while they read one text about principles of natural selection and three texts about examples of natural selection. After reading, participants completed a topic knowledge posttest. Nonparametric tests indicated that readers who had high and moderate scores on the posttest generated more bridges to the principles text than readers who had low scores on the posttest. The multiple regression analysis indicated that bridging inferences to the principles text were predictive of scores on the topic knowledge posttest. An exploratory case analysis highlighted the importance of text-based bridging inferences to principles for readers with the highest scores on the topic knowledge posttest. These findings suggest that starting a set of complementary texts with an overview principles text followed by more exemplar-based texts can support learning when readers with low initial topic knowledge make inferences between principles and examples during reading.

Original languageEnglish (US)
Pages (from-to)529-548
Number of pages20
JournalDiscourse Processes
Volume58
Issue number5-6
DOIs
StatePublished - 2021

All Science Journal Classification (ASJC) codes

  • Communication
  • Language and Linguistics
  • Linguistics and Language

Fingerprint

Dive into the research topics of 'Bridging Inferences and Learning from Multiple Complementary Texts'. Together they form a unique fingerprint.

Cite this