Supporting Diverse Learners in Computational Thinking With TIPP&SEE

• In Event: Computers and Learning: Programming and Computational Thinking

Abstract

With the growth of Computer Science (CS) and Computational Thinking (CT) instruction in the K-8 domain, it is important that such instruction supports diverse learners. Four categories of students -- students in poverty, multi-lingual students, students with disabilities, and students who are below proficient in reading and math, may face academic challenges that can hinder their learning in CS/CT curricula. However, little is known about how to support these students in CS/CT instruction. TIPP&SEE, a meta-cognitive strategy that scaffolds learning by proceduralizing engagement through example code, may offer some support. A quasi-experimental study revealed that the gaps between students with and without academic challenges narrowed when using the TIPP&SEE strategy, indicating its promise as an equitable learning strategy for CS/CT.

Authors

• Jean Salac, University of Chicago

• Cathy Newman Thomas, Texas State University

• Chloe Butler, Texas State University

• Diana Franklin, University of Chicago