Computer Science

Uncovering Middle School CS Students’ Understanding of Variables and Control Structures: A Cognitive Think-Aloud Approach

This poster presents findings on middle school students’ understanding of core computer science (CS) concepts, such as variables and control structures, using cognitive think-aloud interviews with eight students. Each student worked on 16-22 formative assessment tasks designed to assess understanding on the ‘Algorithms and Programming’ middle school CS standards. Our study describes students’ interpretations of the CS concepts and discusses potential factors influencing student interpretations. Significance and next steps are described.

Author/Presenter

Hui Yang

Satabdi Basu

Daisy Rutstein

Arif Rachmatullah

Carol Tate

Christopher Ortiz

Eliese Rulifson

Lead Organization(s)
Year
2023
Short Description

This poster presents findings on middle school students’ understanding of core computer science (CS) concepts, such as variables and control structures, using cognitive think-aloud interviews with eight students.

Exploring Middle School Students’ Understanding of Algorithms Using Standards-aligned Formative Assessments: Teacher and Researcher Perspectives

‘Algorithms’ is a core CS concept included in the K-12 CS standards, yet student challenges with understanding different aspects of algorithms are still not well documented, especially for younger students. This paper describes an approach to decompose the broad middle-school ‘algorithms’ standard into finer grained learning targets, develop formative assessment tasks aligned with the learning targets, and use the tasks to explore student understanding of, and challenges with, the various aspects of the standard.

Author/Presenter

Satabdi Basu

Daisy Rutstein

Carol Tate

Arif Rachmatullah

Hui Yang

Christopher Ortiz

Lead Organization(s)
Year
2023
Short Description

‘Algorithms’ is a core CS concept included in the K-12 CS standards, yet student challenges with understanding different aspects of algorithms are still not well documented, especially for younger students. This paper describes an approach to decompose the broad middle-school ‘algorithms’ standard into finer grained learning targets, develop formative assessment tasks aligned with the learning targets, and use the tasks to explore student understanding of, and challenges with, the various aspects of the standard.

Designing Standards-aligned Formative Assessments to Explore Middle School Students’ Understanding of Algorithms

'Algorithms’ is a core CS concept included in the K-12 CS learning standards, yet student challenges with understanding and using algorithms are still not well documented. This paper describes an approach to decompose the broad middle-school ‘algorithms’ standard into finer grained learning targets, develop formative assessment tasks aligned with the fine-grained learning targets, and use the tasks to explore student understanding of and challenges with the various concepts underlying the standard.

Author/Presenter

Satabdi Basu

Daisy Wise Rutstein

Arif Rachmatullah

Carol Tate

Hui Yang

Christopher Ortiz

Lead Organization(s)
Year
2023
Short Description

'Algorithms’ is a core CS concept included in the K-12 CS learning standards, yet student challenges with understanding and using algorithms are still not well documented. This paper describes an approach to decompose the broad middle-school ‘algorithms’ standard into finer grained learning targets, develop formative assessment tasks aligned with the fine-grained learning targets, and use the tasks to explore student understanding of and challenges with the various concepts underlying the standard.

Classroom-Based STEM Assessment: Contemporary Issues and Perspectives

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Author/Presenter

Christopher J. Harris, Eric Wiebe, Shuchi Grover, James W. Pellegrino, Eric Banilower, Arthur Baroody, Erin Furtak, Ryan “Seth” Jones, Leanne R. Ketterlin-Geller, Okhee Lee, Xiaoming Zhai

Year
2023
Short Description

This report takes stock of what we currently know as well as what we need to know to make classroom assessment maximally beneficial for the teaching and learning of STEM subject matter in K–12 classrooms.

Exploring Early Childhood Teachers’ Abilities to Identify Computational Thinking Precursors to Strengthen Computer Science in Classrooms

Principal Investigator:

EPK-2 is designing and testing a model of PreK-2nd grade teacher professional learning to address computational thinking. The focus is teachers’ generative development in CT as informed by collaborative, inquiry-based learning. The goal is to help teachers and schools build computational thinking pathways beginning with students’ earliest years. Research questions explore factors mediating PreK-2nd grade teachers’ learning and implementation of computational thinking in their classrooms.

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