Comprehension in a Scenario-Based Assessment: Domain and Topic-Specific Background Knowledge

Kathryn S. McCarthy, Tricia A. Guerrero, Kevin M. Kent, Laura K. Allen, Danielle S. McNamara, Szu‐Fu Chao, Jonathan Steinberg, Tenaha O’Reilly, John Sabatini

Discourse Processes · 2018 · 31 citations · 50 references

Concepts

Abstract

Background knowledge is a strong predictor of reading comprehension, yet little is known about how different types of background knowledge affect comprehension. The study investigated the impacts of both domain and topic-specific background knowledge on students’ ability to comprehend and learn from science texts. High school students (n = 3,650) completed two background knowledge assessments, a pretest, comprehension tasks, and a posttest, in the context of the Global, Integrated, Scenario-based Assessment on ecosystems. Linear mixed-effects models revealed positive effects of background knowledge on comprehension and learning as well as an interactive effect of domain and topic-specific knowledge, such that readers with high domain knowledge but low topic-specific knowledge improved most from pretest to posttest. We discuss the potential implications of these findings for educational assessments and interventions.

References

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