Automated grading workflows for providing personalized feedback to open-ended data science assignments

Autoři: Ricci, Federica Zoe, Medina, Catalina Mari, Dogucu, Mine

Zdroj: Technology Innovations in Statistics Education. 15(1)

Témata: Data Science Education, Statistics Education, Efficient Grading, R, formative assessment, Fair Grading

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8ck097s5
https://escholarship.org/content/qt8ck097s5/qt8ck097s5.pdf

Bringing Interdisciplinary Data Science Education Challenges into the Classroom

Autoři: Zofia Bednarowska-Michaiel, Emma Uprichard

Zdroj: Journal of Statistics and Data Science Education, Pp 1-28 (2025)

Témata: Data Science Education, Interdisciplinarity, Decolonization, Computational Affordance, Data Science Ethics, Data Science Challenges, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/2519b587efb347069021619497309d72

Seeing Our World Through Data: Sixth Graders Integrating Data Investigations in Collaborative Knowledge Building

Autoři: Bodong Chen, Leanne Ma, Vivian Yu Leung

Zdroj: Journal of Statistics and Data Science Education, Pp 1-23 (2025)

Témata: Data science education, Data literacy, Critical data literacy, Elementary school, Knowledge building, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/cb6b099c71c34284b89d6b243668722c

Developing Students’ Statistical Expertise through Writing in the Age of AI

Autoři: Laura S. DeLuca, Alex Reinhart, Gordon Weinberg, Michael Laudenbach, Sydney Miller, David West Brown

Zdroj: Journal of Statistics and Data Science Education, Pp 1-20 (2025)

Témata: Artificial intelligence, Written assessment, Writing to learn, ChatGPT, statistics education, data science education, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/d9a984c28b2b4d0d853124d2712ba535

The Q1Q2Q3 Workflow for Statistics and Data Science Collaborations

Autoři: Eric A. Vance, Ilana M. Trumble, Jessica L. Alzen, Leanna L. House

Zdroj: Journal of Statistics and Data Science Education, Pp 1-21 (2025)

Témata: Data science education, Data science lifecycle, Ethics, Statistical collaboration, Statistical consulting, Statistical practice, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/8f10c19e4cc24e51b99873f932c81cd8

Constructing a Course on Classification Methods for Undergraduate Non-STEM Students: Striving to Reach Knowledge Discovery

Autoři: Anna Khalemsky, Roy Gelbard, Yelena Stukalin

Zdroj: Journal of Statistics and Data Science Education, Vol 33, Iss 1, Pp 68-76 (2025)

Témata: Classification, Data science education, Decision-making, Interpretation, Knowledge discovery, Supervised learning, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/ed3e998be5214df8a0671e17de6392a4

Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science

Autoři: Jo Boaler, Kira Conte, Ken Cor, Jack A. Dieckmann, Tanya LaMar, Jesse Ramirez, Megan Selbach-Allen

Zdroj: Journal of Statistics and Data Science Education, Vol 33, Iss 1, Pp 26-45 (2025)

Témata: Data science education, Math pathways, Mixed methods, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/e521c65eac264cecb15cc45097f3af23

Using Textual Analysis to Examine Student Engagement in Online Undergraduate Science Education

Autoři: Alon Friedman, Zachariah Beasley

Zdroj: Journal of Statistics and Data Science Education, Pp 1-11 (2024)

Témata: Data science education, Learning outcomes, Natural language processing (NLP), Online learning environments, Sentiment analysis, Student engagement, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/1b8f717737354e779752ae6333624148

Using Grayscale Photos to Introduce High School Statistics Teachers to Reasoning with Digital Image Data

Autoři: Anna Fergusson, Maxine Pfannkuch

Zdroj: Journal of Statistics and Data Science Education, Vol 32, Iss 4, Pp 345-360 (2024)

Témata: Algorithmic modeling, Computational thinking, Data science education, Image data, Statistical thinking, Task design, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/bd8e576210da487589fb1ef4483ba03d

Culturally Relevant Data in Teaching Statistics and Data Science Courses

Autoři: Travis Weiland, Immanuel Williams

Zdroj: Journal of Statistics and Data Science Education, Vol 32, Iss 3, Pp 256-271 (2024)

Témata: Culturally relevant pedagogy, Culturally responsive teaching, Data science education, Statistics education, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/e7e1ed5f7461458398d0a046d1d957be

The design space of visualization tools for data science education: Literature review and framework for future designs

Autoři: Fernandez, Cassia ^{a, b, ⁎}, Freitas, João Adriano ¹, Blikstein, Paulo ^a, de Deus Lopes, Roseli ^b

Zdroj: In International Journal of Child-Computer Interaction March 2025 43

Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program

Autoři: Iraklis Varlamis

Zdroj: Education Sciences, Vol 15, Iss 4, p 500 (2025)

Témata: data wrangling, real-world datasets, data science education, data preprocessing, problem-solving skills, Education

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7102/15/4/500; https://doaj.org/toc/2227-7102

Přístupová URL adresa: https://doaj.org/article/b3da9351bbdc43b2bc4c7e8eed8c3352

Coding Code: Qualitative Methods for Investigating Data Science Skills

Autoři: Allison S. Theobold, Megan H. Wickstrom, Stacey A. Hancock

Zdroj: Journal of Statistics and Data Science Education, Vol 32, Iss 2, Pp 161-173 (2024)

Témata: Computer science education, Data science education, Qualitative research, Statistics education research, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/6daecfa084b94da2803029fc52e7e4c8

Curriculum, Pedagogy, and Teaching/Learning Strategies in Data Science Education

Autoři: Cecilia Avila-Garzon, Jorge Bacca-Acosta

Zdroj: Education Sciences, Vol 15, Iss 2, p 186 (2025)

Témata: data science education, pedagogy, curriculum, teaching/learning strategies, data-driven technologies, Education

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7102/15/2/186; https://doaj.org/toc/2227-7102

Přístupová URL adresa: https://doaj.org/article/6d67ddca9c964ea28b40341b70fb0b6a

Strengthening Data Literacy in K-12 Education: A Scoping Review

Autoři: Verena Witte, Angela Schwering, Daniel Frischemeier

Zdroj: Education Sciences, Vol 15, Iss 1, p 25 (2024)

Témata: data literacy, data science education, competence framework, K-12 education, review, Education

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7102/15/1/25; https://doaj.org/toc/2227-7102

Přístupová URL adresa: https://doaj.org/article/ca0922174e0147e4827c266418f698a3

Training Interdisciplinary Data Science Collaborators: A Comparative Case Study

Autoři: Jessica L. Alzen, Ilana M. Trumble, Kimberly J. Cho, Eric A. Vance

Zdroj: Journal of Statistics and Data Science Education, Vol 32, Iss 1, Pp 73-82 (2024)

Témata: Case study, Data science collaboration, Data science education, Statistical consulting, statistical practice, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/9ed1bab1003249779e3f0f275892cb45

Profiles in the Teaching of Experimental Design and Analysis

Autoři: Byran J. Smucker, Nathaniel T. Stevens, Jacqueline Asscher, Peter Goos

Zdroj: Journal of Statistics and Data Science Education, Vol 31, Iss 3, Pp 211-224 (2023)

Témata: Active learning, Data science education, Experiment, Online experimentation, Optimal design, Statistics education, Probabilities. Mathematical statistics, QA273-280, Special aspects of education, LC8-6691

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2693-9169

Přístupová URL adresa: https://doaj.org/article/d7fea17e78d5432fb1a2a4f7a2fc6057

Reflective Data Storytelling for Youth: The CODAP Story Builder

Autoři: Wilkerson, Michelle, Finzer, William, Erickson, Tim, Hernandez, Damaris

Témata: Pediatric, Clinical Research, data visualization, data storytelling, data science education, data analysis, middle school

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/8ck9p9mj

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Tyto položky nemohou být zobrazeny nepřihlášeným uživatelům.
Pro úplný přístup je nutné se přihlásit.