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Digital Program Evaluation×디지털 사례 연구×
분야현장 조사법질적 방법
계열Process / pipelineProcess / pipeline
기원 연도2000s–2010s (formalized alongside proliferation of digital programs and online data)2000s–2010s (building on Yin's 1984 foundational case study framework)
창시자Evolving practice; rooted in Rossi, Lipsey & Freeman's evaluation tradition; extended by digital methods scholars in the 2000s–2010sRobert K. Yin (case study foundations); extended to digital contexts by multiple scholars in the 2000s–2010s
유형Applied evaluation methodologyQualitative research design
원전George, S., & Leidner, D. (2020). Digital Evaluation: Leveraging Digital Data and Methods for Program Assessment. Routledge. link ↗Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169
별칭technology-enhanced evaluation, digital evaluation, e-evaluation, online program evaluationonline case study, virtual case study, internet-based case study, digital ethnographic case study
관련56
요약Digital program evaluation applies the systematic logic of program evaluation to programs that operate fully or partly in digital environments, using digital tools and data — web analytics, online surveys, platform logs, social media metrics, and digital trace data — to assess program reach, implementation fidelity, and outcomes. It retains the core evaluative commitment to rendering a defensible judgment about program merit and worth while exploiting the speed, scale, and granularity that digital data sources offer. Applications span online education, digital public health campaigns, e-government services, and technology-mediated social programs.Digital case study research applies the classic bounded case study framework to phenomena that are situated in, or mediated by, digital environments. Drawing on Robert Yin's foundational case study methodology, it investigates a contemporary phenomenon in depth within its real-world digital context — using online documents, social media archives, virtual interviews, website content, and other digital artifacts as primary evidence. The approach is particularly suited to studying how individuals, groups, or organisations behave in online spaces.
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