Thick Authenticity framework¶
Research Method · All research methods
Evidence · 4 claims (4 for) · 1 study (1 qualitative),q2· 0 of 1 report an effect size · 4 claims rest on one study
Description¶
The study operationalizes Shaffer and Resnick's (1999) 'thick authenticity' framework, which the article describes as "a comprehensive view of authentic learning, defined as 'thick authenticity.'" It comprises four interconnected dimensions: personal authenticity (alignment with interests, values, goals), real-world authenticity (tasks mirroring professional contexts), disciplinary authenticity (thinking in the modes of a discipline), and authentic assessment (assessment reflecting real-world knowledge application). The researchers coded 108 relevant interview segments against these four dimensions to assess student perceptions.
Accounts¶
- Thick Authenticity framework (Shaffer & Resnick, 1999) as the organizing lens for analyzing curriculum authenticity: The study operationalizes Shaffer and Resnick's (1999) 'thick authenticity' framework, which the article describes as "a comprehensive view of authentic learning, defined as 'thick authenticity.'" It comprises four interconnected dimensions: personal authenticity (alignment with interests, values, goals), real-world authenticity (tasks mirroring professional contexts), disciplinary authenticity (thinking in the modes of a discipline), and authentic assessment (assessment reflecting real-world knowledge application). The researchers coded 108 relevant interview segments against these four dimensions to assess student perceptions. (Rotem Israel-Fishelson (2026))
Claims¶
- High school students perceived interest-driven data exploration activities in a data science curriculum as personally authentic, though not uniformly [+M]
- Working with live, real-world datasets promoted students' perception of real-world authenticity and career transferability in a high school data science curriculum [+M]
- Students most strongly felt like data scientists during the open-ended final project, supporting disciplinary authenticity [+M]
- A culminating final project with a structured reflection script served as authentic assessment mirroring real-world data science practices [+M]
Related Research Methods¶
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Key Sources¶
- Rotem Israel-Fishelson, David Weintrop. (2026). Authenticity in a high school data science curriculum. Education Tech Research Dev. https://doi.org/10.1007/s11423-026-10622-1
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
thick-authenticity-framework |
title |
Thick Authenticity framework |
description |
The study operationalizes Shaffer and Resnick's (1999) 'thick authenticity' framework, which the article describes as "a comprehensive view of authentic learning, defined as 'thick authenticity.'" It comprises four interconnected dimensions: personal authenticity (alignment with interests, values, g |
status |
review |
generated |
by process:settle-candidates on 2026-10-29 |
trust |
unverified — no one has confirmed this page's content |
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