The APP Method: Self-Regulation Strategies Giving POWER to Computer Science Students

Corina S. Drozdowski, Solomon Emeghara, Thomas J. Marlowe, Katherine Herbert, Vaibhav Anu, Sumi Hagiwara, Stefan A. Robila

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Research shows that improving students' understanding of Computational Thinking (CT) in unplugged, science-based courses benefits their understanding of algorithmic thinking. This paper describes use of the APP approach, a UDL-based guideline of self-regulation for problem formulation and problem solving, and then presents a program of lessons designed to improve a student's CT skills through improvement of executive functioning and higher-level cognitive skills, using the APP framework to explore the field of solar weather, an underrepresented but relevant topic for 6-12 grade students. The approach has strong resonances with the POWER approach to expository writing, the scientific method, and software engineering.

Original languageEnglish
Title of host publication2024 IEEE Integrated STEM Education Conference, ISEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350352801
DOIs
StatePublished - 2024
Event14th IEEE Integrated STEM Education Conference, ISEC 2024 - Princeton, United States
Duration: 9 Mar 2024 → …

Publication series

Name2024 IEEE Integrated STEM Education Conference, ISEC 2024

Conference

Conference14th IEEE Integrated STEM Education Conference, ISEC 2024
Country/TerritoryUnited States
CityPrinceton
Period9/03/24 → …

Keywords

  • Computational thinking
  • Data science
  • SRSD
  • Universal Design for Learning

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