natural language processing | ENA를 실제 분석에 적용한 연구.

ENA traced NLP-coded science ideas across an adaptive AI dialog

Weiying Li, Hsin-Yi Chang, Allison Bradford, Libby Gerard, Marcia C. Linn

Journal of Science Education and Technology

A study of 196 eighth-grade students combined NLP-generated idea codes with ENA to represent how science explanations changed across two adaptive prompts. Higher knowledge-integration scores were associated with more connections among microscopic and mechanistic ideas, but the one-school design does not isolate a causal dialog effect.

검토된 논문 요약은 현재 영어로 제공됩니다.

AI dialogknowledge integrationnatural language processing

검토된 요약 읽기

Photorealistic editorial photograph of qualitative researchers reviewing educator narratives beside transparent NLP clusters and an audit notebook

학술대회 논문2021

학술대회 논문 13

Human–NLP collaboration made three dimensions of qualitative trustworthiness inspectable

Ha Nguyen, June Ahn, Ashlee Belgrave, Jiwon Lee, Lora Cawelti, Ha Eun Kim, Yenda Prado, Rossella Santagata, Adriana Villavicencio

2nd International Conference on Quantitative Ethnography (ICQE 2020)

How natural language processing combined with researcher interpretation can strengthen credibility, dependability, and confirmability in qualitative analysis. The case demonstrates practical affordances for efficient analysis while keeping human examination central to the claims and to the trustworthiness audit. A successful illustration does not make NLP output inherently credible, transferable, or unbiased; trustworthiness still depends on data quality, researcher reflexivity, validation, and transparent disagreement handling.

검토된 논문 요약은 현재 영어로 제공됩니다.

qualitative trustworthinessnatural language processinghuman-in-the-loop

검토된 요약 읽기