AI-Assisted Statistical Writing in a Quantitative Research Methods Course

Many graduate students in the social sciences struggle with quantitative methods, particularly in statistical writing, where they must not only conduct analyses but also communicate their findings effectively. This lesson, implemented in a Doctor of Educational Leadership (Edd) quantitative research methods course, integrated generative AI tools to enhance students' statistical writing and interpretation skills. Through asynchronous AI learning modules, in-class demonstrations, hands-on practice, and a structured assignment, students learned to use AI to refine statistical interpretations and produce professional memos tailored to both technical and non-technical audiences. Results indicated increased confidence in both statistical analysis and AI literacy, reinforcing the potential of AI as a tool for enhancing learning in quantitative research methods courses. This study underscores the role of AI in bridging the gap between statistical knowledge and professional communication, preparing educational leaders to make data-driven decisions.

Authors

Institutions

Publication Details

Journal
AI-EDU arxiv.
Published
2025-03-13
DOI
https://doi.org/10.36851/ai-edu.vi.5287
Citations
1
Primary Topic
Statistics Education and Methodologies
Type
article
Field-Weighted Citation Impact
2.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Assisted Statistical Writing in a Quantitative Research Methods Course

Lisa Romero
1 citations
AI-EDU arxiv.
Statistics Education and Methodologies
2.63
article

AI-Assisted Statistical Writing in a Quantitative Research Methods Course

Lisa Romero
article en
1 citations

Abstract

Many graduate students in the social sciences struggle with quantitative methods, particularly in statistical writing, where they must not only conduct analyses but also communicate their findings effectively. This lesson, implemented in a Doctor of Educational Leadership (Edd) quantitative research methods course, integrated generative AI tools to enhance students' statistical writing and interpretation skills. Through asynchronous AI learning modules, in-class demonstrations, hands-on practice, and a structured assignment, students learned to use AI to refine statistical interpretations and produce professional memos tailored to both technical and non-technical audiences. Results indicated increased confidence in both statistical analysis and AI literacy, reinforcing the potential of AI as a tool for enhancing learning in quantitative research methods courses. This study underscores the role of AI in bridging the gap between statistical knowledge and professional communication, preparing educational leaders to make data-driven decisions.

AI-EDU arxiv.
China Society for Urban Studies (CN)
Openalex Percentile: Top 14%
Statistics Education and Methodologies
2.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.