In this episode of Science of Reading: The Podcast, Susan Lambert is joined by University of Oregon College of Education Professor and Ann Swindells Chair in Education Gina Biancarosa, Ed.D., to explore how best to assess for comprehension. Gina elaborates on her extensive work developing more precise and informative measurements of reading comprehension and discusses think-aloud research, demonstrating how to infer for coherence, and examining how students who are struggling with comprehension tend to rely too heavily on making inferences or paraphrasing.

Show notes:

• Submit your questions on comprehension!
• Access free, high-quality resources at our brand new, companion professional learning page.
• Connect with Gina on LinkedIn.
• Read “Diagnostic and Instructionally Relevant Measurement of Reading Comprehension”
• Resources:
• Listen to Season 2 of Amplify’s Beyond My Years podcast.
• Join our community Facebook group.
• Connect with Susan Lambert.

Quotes:

"A lot of what we know about reading comprehension comes from think-alouds where you ask someone to tell you what they're thinking as they read." —Gina Biancarosa, Ed.D

"To model reading comprehension, [try] thinking aloud in front of a classroom of students in a way that is instructive for them, and also authentic to the reading process." —Gina Biancarosa, Ed.D.

"Students are making causal inferences in their daily lives, when they watch movies, and when they're hearing stories. And so what we're really trying to do is get them to generalize these behaviors that they engage in outside of the task of reading, during reading." —Gina Biancarosa, Ed.D.

Episode Timestamps:
02:00 Introduction: Gina Biancarosa, Ed.D. and comprehension assessment
08:00 How do we assess comprehension?
14:00 Think-aloud research
21:00 MOCCA (Multiple-Choice Online Causal Comprehension Assessment)
24:00 Causal coherence
30:00 Paraphrasers and elaborators
33:00 Comprehension assessment research
39:00 Professional development and comprehension assessment
42:00 Closing thoughts
*Timestamps are approximate, rounded to nearest minute