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Elica B Sharifnia

Biographic Data

ID9977473
NAMEElica B Sharifnia
GIVEN NAMESElica B
FAMILY NAMESharifnia
SIGNATURESHARIFNIA E B
AFFILIATIONSUniversity of Denver
ORCID0000-0003-0703-3780
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Designing Inclusive Computational Thinking Learning Trajectories for the Youngest Learners

    Open Access•Shannon Stark Guss, Douglas H Clements et al.•ARTICLE•Education Sciences•2024

    Foundational thinking for later use of technology, particularly coding, is necessary for an inclusive and sustainable future. Inclusive practices beginning in early childhood recognize children’s innate development of computational thinking—sequencing, repetition and looping, debugging, decomposing and composing, representation, and causality. This qualitative research describes processes of developing and evaluating hypothesized developmental pr…

  • Building Learning Trajectories for Intentional, Inclusive, and Individualized Instructional Experiences in STEM

    Open Access•Shannon Stark Guss, Chih-Ing Lim et al.•ARTICLE•Education Sciences•2023

    Early science, technology, engineering, and math (STEM) learning experiences often exclude children with disabilities and intersecting identities. To promote learning in STEM for all children, the Curriculum Research Framework (CRF) was applied to build learning trajectories of STEM for children from birth to age 5. The CRF was extended and enhanced to generate explicitly inclusive learning trajectories for children with and without disabilities.…

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  • Building Learning Trajectories for Intentional, Inclusive, and Individualized Instructional Experiences in STEM

    Open Access•Shannon Stark Guss, Chih-Ing Lim et al.•ARTICLE•Education Sciences•2023

    Early science, technology, engineering, and math (STEM) learning experiences often exclude children with disabilities and intersecting identities. To promote learning in STEM for all children, the Curriculum Research Framework (CRF) was applied to build learning trajectories of STEM for children from birth to age 5. The CRF was extended and enhanced to generate explicitly inclusive learning trajectories for children with and without disabilities.…

  • Designing Inclusive Computational Thinking Learning Trajectories for the Youngest Learners

    Open Access•Shannon Stark Guss, Douglas H Clements et al.•ARTICLE•Education Sciences•2024

    Foundational thinking for later use of technology, particularly coding, is necessary for an inclusive and sustainable future. Inclusive practices beginning in early childhood recognize children’s innate development of computational thinking—sequencing, repetition and looping, debugging, decomposing and composing, representation, and causality. This qualitative research describes processes of developing and evaluating hypothesized developmental pr…

Computer Science (2 works) · Mathematics education (2 works) · Pedagogy (2 works) · Psychology (2 works) · Autism Spectrum Disorder Research (1 work) · Cognitive and developmental aspects of mathematical skills (1 work) · Cognitive science (1 work) · Computational Thinking (1 work) · Curriculum (1 work) · Debugging (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae