Research Interests: My passions lie at the intersection of learning, metacognition, 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 intersection between reading ability and math learning as well as how metacognitive processes and engagement can enhance math learning. This work is part of my role at 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
How I would describe my work ethic: bias for action, meticulous about data integrity, focused, persistent, innovative, leader, communicative