ENA를 실제 분석에 적용한 연구.

초기화

35 편

페이지 6 / 6

Photorealistic editorial photograph of an evidence-review team mapping education studies across domains, data sources, and ENA decisions
학술지 논문2022
학술지 논문 12

A systematic review charted how ENA has been used across education research

Ramy Elmoazen, Mohammed Saqr, Matti Tedre, Laura Hirsto

IEEE Access

How empirical education studies have designed, implemented, and reported Epistemic Network Analysis. The literature shows ENA applied across multiple educational domains and data types, alongside uneven methodological detail and opportunities for stronger reporting and reproducibility. The conclusions depend on database coverage, eligibility rules, publication practices, and the information authors reported; absence from the review is not evidence that a practice never occurred.

검토된 논문 요약은 현재 영어로 제공됩니다.

systematic revieweducation researchempirical applications
검토된 요약 읽기
Photorealistic editorial photograph of analysts comparing algorithmic word clusters with human-coded excerpts on two linked panels
학술대회 논문2021
학술대회 논문 11

Topic modeling helped discover candidate codes but could not replace human interpretation

Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan Eagan, David Williamson Shaffer

2nd International Conference on Quantitative Ethnography (ICQE 2020)

Whether unsupervised topic models can support the discovery of qualitative codes in large textual corpora. Topics often mixed several human codes, and words linked to one human code could appear across multiple topics; concise topic-word lists were more useful as discovery aids than direct replacements for codes. Alignment with one coded corpus does not establish that a topic model will recover valid constructs in another domain, language, or preprocessing pipeline.

검토된 논문 요약은 현재 영어로 제공됩니다.

topic modelingcode discoverylarge-scale text
검토된 요약 읽기
Photorealistic editorial photograph of student engineering teams collaborating around differently shaped tables while temporal action links are recorded
학술지 논문2021
학술지 논문 10

Temporal ENA exposed how table shape, group size, and gender intersected in collaboration

Milica Vujovic, Ishari Amarasinghe, Davinia Hernández-Leo

Sensors

Whether a temporal view of coded activity could clarify how physical table shape relates to collaboration under different group-size and gender conditions. The reported networks suggest that table shape was associated with different student behaviours when group size and gender were considered rather than ignored. The observational design, specific tasks, participant composition, and bundled spatial conditions do not isolate a universal causal effect of furniture shape.

검토된 논문 요약은 현재 영어로 제공됩니다.

physical learning spacestemporal collaborationtable shape
검토된 요약 읽기
Photorealistic editorial photograph of a research team sorting many study cards into evidence, coding, modeling, and interpretation pathways
학술대회 논문2021
학술대회 논문 09

A field scan mapped opportunities and recurring trustworthiness challenges in QE

Rogers Kaliisa, Kamila Misiejuk, Golnaz Arastoopour Irgens, Morten Misfeldt

2nd International Conference on Quantitative Ethnography (ICQE 2020)

Which practices, opportunities, and unresolved challenges characterized the emerging field of quantitative ethnography. Grounded analysis and attention to code validity were common, while interpretability, methodological consistency, and clearer reporting remained visible field-level challenges. A scoping review describes the accessible literature and its reporting practices; it does not prove that one workflow is universally superior or that omitted studies followed the same pattern.

검토된 논문 요약은 현재 영어로 제공됩니다.

scoping reviewfield developmentmethodological transparency
검토된 요약 읽기
Photorealistic editorial photograph of researchers connecting coded excerpts to a transparent network model on a shared analysis table
학술지 논문2016
학술지 논문 08

The foundational ENA tutorial connected coded evidence, networks, and comparison

David Williamson Shaffer, Wesley Collier, A. R. Ruis

Journal of Learning Analytics

How researchers can identify, quantify, visualize, and compare patterns of association among a fixed set of coded elements. The tutorial shows that network structure can be compared directly and through summary statistics when the modeled associations have a defensible meaning in the source context. A worked method cannot validate the constructs, codes, conversation boundaries, sampling design, or causal interpretation supplied by a later analyst.

검토된 논문 요약은 현재 영어로 제공됩니다.

foundational tutorialdynamic networkscoded data
검토된 요약 읽기