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Amanda Strawhacker
Researcher at Tufts University
Publications - 24
Citations - 672
Amanda Strawhacker is an academic researcher from Tufts University. The author has contributed to research in topics: Computational thinking & Computer programming. The author has an hindex of 10, co-authored 21 publications receiving 410 citations.
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Journal ArticleDOI
“I want my robot to look for food”: Comparing Kindergartner’s programming comprehension using tangible, graphic, and hybrid user interfaces
TL;DR: The findings show little association between user interface and programming comprehension, although there may be an order-affect when introducing user interfaces.
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Constructing the ScratchJr programming language in the early childhood classroom
TL;DR: This paper addresses the following research question: Which ScratchJr programming blocks do young children choose to use in their own projects after they have learned them all through a tailored programming curriculum?
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Teaching tools, teachers’ rules: exploring the impact of teaching styles on young children’s programming knowledge in ScratchJr
TL;DR: Statistically significant findings revealed higher programming achievement in students whose educators demonstrated flexibility in lesson planning, responsiveness to student needs, technological content expertise, and concern for developing students’ independent thinking.
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What they learn when they learn coding: investigating cognitive domains and computer programming knowledge in young children
TL;DR: In this article, the authors investigated children's performance on a programming assessment after engaging in a 6-week curricular intervention with ScratchJr and found that while all students mastered foundational coding concepts, there were marked differences in performance and comprehension across the three grade levels.
Proceedings ArticleDOI
TUI, GUI, HUI: is a bimodal interface truly worth the sum of its parts?
TL;DR: Comparisons between the relative differences in efficacy of three different computer programming interfaces for controlling robots designed for early childhood education focus on which interface yields better understanding of the programming concepts taught.