Assessing computational thinking through the lenses of functionality and computational fluency. Issue 2 (3rd April 2021)

• Record Type: Journal Article
• Authors: Metcalf, Shari J.; Reilly, Joseph M.; Jeon, Soobin; Wang, Annie; Pyers, Allyson; Brennan, Karen; Dede, Chris
• Is Part Of: Computer science education. Volume 31:Issue 2(2021)
• Page Start: 199
• Page End: 223
• Publication Date: 2021-04-03
• Subjects: Computational thinking -- assessment -- block-based programming; Computer science -- Study and teaching -- Periodicals; 004
• DOI: 10.1080/08993408.2020.1866932
• Languages: English
• ISSNs: 0899-3408

Abstract

ABSTRACT: Background and Context : This study looks at computational thinking (CT) assessment of programming artifacts within the context of CT integrated with science education through computational modeling. Objective : The goal is to explore methodologies for assessment of student-constructed computational models through two lenses: functionality and conceptual fluency. Method : This study uses data from research with EcoMOD, a 3 rd grade ecosystem science curriculum in which student pairs program computational models of a beaver building a dam. Snapshots of programs for 47 student pairs collected over time are assessed. Findings : A functionality-based rubric provided assessment of student task progress, but was less successful at correctly identifying CT gains in programs that were partially correct. A rubric for conceptual fluency identified development of fluency in CT concepts of sequencing, loops, and conditionals. Implications : This study contributes to the literature by exploring affordances of different rubric-based CT assessments of student programs.