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Mine Dogucu
Mine Dogucu
Department of Statistics, University of California Irvine
在 uci.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Bayes rules!: An introduction to applied Bayesian modeling
AA Johnson, MQ Ott, M Dogucu
Chapman and Hall/CRC, 2022
91*2022
Web scraping in the statistics and data science curriculum: Challenges and opportunities
M Dogucu, M Çetinkaya-Rundel
Journal of Statistics and Data Science Education 29 (sup1), S112-S122, 2021
502021
Making sense of uncertainty in the science classroom: A Bayesian approach
JM Rosenberg, M Kubsch, EJ Wagenmakers, M Dogucu
Science & education 31 (5), 1239-1262, 2022
292022
Effects of Read It Again! in early childhood special education classrooms as compared to regular shared book reading
SB Piasta, B Sawyer, LM Justice, AA O’Connell, H Jiang, M Dogucu, ...
Journal of Early Intervention 42 (3), 224-243, 2020
182020
The current state of undergraduate Bayesian education and recommendations for the future
M Dogucu, J Hu
The American Statistician 76 (4), 405-413, 2022
142022
Assessing and predicting small-group literacy instruction in early childhood classrooms
KS Farley, S Piasta, M Dogucu, A O’Connell
Early Education and Development 28 (4), 488-505, 2017
142017
Framework for accessible and inclusive teaching materials for statistics and data science courses
M Dogucu, AA Johnson, M Ott
Journal of Statistics and Data Science Education 31 (2), 144-150, 2023
122023
Tools and Recommendations for Reproducible Teaching
M Dogucu, M Çetinkaya-Rundel
Journal of Statistics and Data Science Education 30 (3), 251-260, 2022
112022
The 5Ws and 1H of term projects in the introductory data science classroom
M Çetinkaya-Rundel, M Dogucu, W Rummerfield
Statistics Education Research Journal 21 (2), 4-4, 2022
72022
bayesrules: Datasets and Supplemental Functions from Bayes Rules! Book
M Dogucu, A Johnson, M Ott
R package version, 2021
5*2021
The relationship between mathematics teachers' probability approaches and misconceptions
M Doğucu
Boğaziçi University, Graduate Program in Secondary School Science and …, 2013
5*2013
Student misconceptions of dynamic programming: a replication study
M Shindler, N Pinpin, M Markovic, F Reiber, JH Kim, GPN Carlos, ...
Computer Science Education 32 (3), 288-312, 2022
42022
Content and computing outline of two undergraduate Bayesian courses: Tools, examples, and recommendations
J Hu, M Dogucu
Stat 11 (1), e452, 2022
32022
Training graduate students to teach statistics and data science from a distance
W Rummerfield, FZ Ricci, M Dogucu
Proceedings of the IASE 2021 Satellite Conference, 2021
32021
Teaching Visual Accessibility in Introductory Data Science Classes with Multi-Modal Data Representations
JY Seo, M Dogucu
Journal of Data Science 21 (2), 428–441, 2023
22023
Contributing to Open Education: Why, How, and What I am Doing
M Dogucu
AMS Notices 68 (3), 367-369, 2021
22021
Designing and implementing an automated grading workflow for providing personalized feedback to open-ended data science assignments
FZ Ricci, C Medina, M Dogucu
Technology Innovations in Statistics Education 15 (1), 2024
12024
gradetools: Tools to Assist with Providing Grades and Personalized Feedback to Students
FZ Ricci, C Medina, M Dogucu
https://github.com/federicazoe/gradetools, 2022
12022
Reproducibility in the Classroom
M Dogucu
2024
The Design and Implementation of a Bayesian Data Analysis Lesson for Pre-Service Mathematics and Science Teachers
M Dogucu, S Kazak, JM Rosenberg
Journal of Statistics and Data Science Education, 1-21, 2024
2024
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