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Designing formative assessments of early childhood computational thinking

Bibliographic Data

ID12136706
AuthorsJody Clarke‐Midura (0000-0001-5434-0324, Utah State University, corresponding author), Victor R Lee (0000-0001-6434-7589, Stanford University), Jessica F Shumway (0000-0001-7655-565X, Utah State University), Deborah Silvis (0000-0001-5139-9048, Utah State University), Joseph S Kozlowski (0000-0003-4163-2955, Utah State University), Rebecca Peterson (0000-0002-6657-0175, Utah State University)
Year2023
Volume65
Pages68-80
Publication date2023-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEarly Childhood Research Quarterly (JOURNAL)
Journal identifiersISSN: 0885-2006 • E-ISSN: 1873-7706
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ecresq.2023.05.013
OpenAlexW4380990452
LanguageEN
Citations received4
References cited24

With growing interest in supporting the development of computational thinking (CT) in early childhood, there is also need for new assessments that serve multiple purposes and uses. In particular, there is a need to understand the design of formative assessments that can be used during classroom instruction to provide feedback to teachers and children in real-time. In this paper, we report on an empirical study and advance a new unit of observational analysis for formative assessment that we call an indicator of a knowledge refinement opportunity or as a shorthand, KRO indicators. We put forth a new framework for conceptualizing the design of formative assessments that builds on the Evidence Centered Design framework but centers identification and analysis of indicators of knowledge refinement opportunities. We illustrate a number of key indicators through empirical examples drawn from video recordings of Kindergarten classroom lessons

Computer security · Empirical evidence · Empirical research · Formative assessment · Identification (biology · Key (lock · Mathematics education · Observational study · Computer Science · Educational Games and Gamification · Innovative Teaching and Learning Methods · Medicine · Psychology · Teaching and Learning Programming

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Unique citing works4
Citations per year2
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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