Publications

@inbook{jackson2025developing,

title = {Developing and using practical measures to inform instructional improvement in mathematics at scale},

author = {Kara Jackson and Paul Cobb and Marsha Ing and June Ahn and Thomas Smith and Nicholas Kochmanski and Starlie Chinen and Hannah Nieman},

editor = {Paul G. LeMahieu and Paul Cobb},

url = {https://hep.gse.harvard.edu/9781682539675/measuring-to-improve/},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

booktitle = {Measuring to Improve: Practical Measurement to Support Continuous Improvement in Education},

pages = {51-92},

publisher = {Harvard Education Press},

keywords = {dataviz, DBIR, improvement science, k12 education, learning analytics, RPP, STEM, teachers},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{ahn2022work,

title = {The work of improvement},

author = {June Ahn and Erica Van Steenis and William R Penuel},

url = {https://ahnjune.com/wp-content/uploads/2025/07/Ahn-Work-Chapter_02.pdf},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

booktitle = {The Foundational Handbook on Improvement Research in Education},

publisher = {Rowman & Littlefield},

keywords = {DBIR, improvement science, infrastructuring},

pubstate = {published},

tppubtype = {inbook}

}

@inbook{nguyen2021discovering,

title = {Discovering generative uncertainty in learning analytics dashboards},

author = {Ha Nguyen and Fabio Campos and June Ahn},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

booktitle = {Visualizations and dashboards for learning analytics},

pages = {457–475},

publisher = {Springer International Publishing Cham},

keywords = {data science, dataviz, DBIR, improvement science, learning analytics},

pubstate = {published},

tppubtype = {inbook}

}