Innovative Technology Experiences for Students and Teachers (ITEST) Full Proposal Deadline
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Event Date:
Fri, 08/14/2020 - 5:00pm
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Discipline / Topic:
Computer Science
Computer Science for All (CSforAll:RPP) Full Proposal Deadline
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Event Date:
Tue, 02/11/2020 - 5:00pm
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Special Interest Group on Computer Science Education 2020 SIGCSE Technical Symposium; Portland, OR
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Event Date:
Wed, 03/11/2020 (All day) to Sat, 03/14/2020 (All day)
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To learn more, visit https://sigcse2020.sigcse.org/
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Conference on Computer Supported Education 12th International CSEDU Conference; Prague, Czech Republic
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Event Date:
Sat, 05/02/2020 (All day) to Mon, 05/04/2020 (All day)
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To learn more, visit http://www.csedu.org/Home.aspx
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Computer-Using Educators 2020 Spring CUE National Conference; Palm Springs, CA
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Event Date:
Thu, 03/19/2020 (All day) to Sat, 03/21/2020 (All day)
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To learn more, visit http://www.cvent.com/events/spring-cue-2020-conference/event-summary-c39...
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Computer-Using Educators 2019 Fall CUE National Conference; Rancho Cordova, CA
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Event Date:
Sat, 10/19/2019 (All day) to Sun, 10/20/2019 (All day)
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To learn more, visit https://cue.org/fall/
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What They Learn When They Learn Coding: Investigating Cognitive Domains and Computer Programming Knowledge in Young Children
Computer programming for young children has grown in popularity among both educators and product developers, but still relatively little is known about what skills children are developing when they code. This study investigated N = 57 Kindergarten through second grade children’s performance on a programming assessment after engaging in a 6-week curricular intervention. Children used the ScratchJr programming tool to create animated stories, collages, and games.
Lead Organization(s):
Year:
2018
Short Description:
This study investigated N = 57 Kindergarten through second grade children’s performance on a programming assessment after engaging in a 6-week curricular intervention called ScratchJr.
The Computational Algorithmic Thinking (CAT) Capability Flow: An Approach to Articulating CAT Capabilities over Time in African-American Middle-school Girls
Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. It involves identifying and understanding a problem, articulating an algorithm or set of algorithms in the form of a solution to the problem, implementing that solution in such a way that the solution solves the problem, and evaluating the solution based on some set of criteria.
Lead Organization(s):
Year:
2018
Short Description:
This paper explores the CAT Capability Flow, which begins to describe the processes and sub-skills and capabilities involve in computational algorithmic thinking (CAT). To do this, authors engage in an approach which results in an initial flowchart that depicts the processes students are engaging in as an iteratively-refined articulation of the steps involved in computational algorithmic thinking.
A Training Ground for Women of Color in STEM: Spelman College Tackles the STEM Pipeline as a Social Justice Issue
Lead Organization(s):
Year:
2016
Short Description:
Paper from the 2016 Advancing Social Justice from Classroom to Community Conference.
Exploring African American Middle-School Girls' Perceptions of Themselves as Game Designers
Computational algorithmic thinking (CAT) is the ability to design, implement, and assess the implementation of algorithms to solve a range of problems. Supporting Computational Algorithmic Thinking (SCAT) is a longitudinal project that explores the development of CAT capabilities by guiding African American middle-school girls through the iterative game design cycle, resulting in a set of complex games around broad themes.
Lead Organization(s):
Year:
2017
Short Description:
This paper explores African American middle-school girls' perspectives of their experience with the Supporting Computational Algorithmic Thinking (SCAT) project and perceptions of themselves as game designers.
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