Research Interests: My passions lie at the intersection of learning, and language. Specifically, I am interested in understanding how humans detect and correct errors to achieve comprehension and learning.
Current Work: At the moment, my work focuses on improving the readability of math word problems and understanding how these improvements can facilitate math learning. Similarly, my work asks how personal interest and topical knowledge interact with readability to enhance comprehension and sense-of-belonging (e.g., feelings of inclusion and representation) in the math classroom. I do this work with Carnegie Leanring, Inc.
Dissertation: I examined how readers evaluate their comprehension of text and how this evaluation affects their learning outcomes. Specifically, I applied the region of proximal learning model from Janet Metcalfe and colleagues to the domain of reading comprehension, and explored how readers’ perception of text as easy to process can lead to gist processing and miscomprehension. Through my testing, I also discovered that drawing attention to more challenging text areas can help reduce reader overconfidence. http://d-scholarship.pitt.edu/42533/7/Norberg_Dissertation_2022_ETD_4.pdf
Adjectives that describe my work ethic: bias for action, focused, persistent, innovative, leader, communicative