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You are here: Home / Additional Features / January Issue of “JSDSE” Provides Statistics, Data Science Buffet

January Issue of “JSDSE” Provides Statistics, Data Science Buffet

February 3, 2025 Leave a Comment

Juana Sanchez, JSDSE Editor

The Journal of Statistics and Data Science Education (JSDSE) emphasizes that “teaching for the statistics (and data science) buffet” helps advance the growth and diversity of the statistics and data science professions. Specifically, the journal includes papers that present teaching statistics or data science topics from alternative perspectives, provide learners with various ways to engage with statistics and data science topics and peers, offer strategies to ensure equal opportunities and access to essential statistics and data science technology, and showcase teaching methods that support learners’ identities while promoting a sense of belonging in statistics and data science. The January issue follows this same approach.

Featured articles in the January issue include the following:

Data Science Education Strategies in Specific Disciplines

  • “Fostering the Development of Earth Data Science Skills in a Diverse Community of Online Learners: A Case Study of the Earth Data Science Corps,” Nathan A. Quarderer, Leah Wasser, Anne U. Gold, et al.
  • “Virtual Biostats Day: An Interactive Online Biostatistics Outreach Program Directed at High School Students in Groups Historically Underrepresented in STEM Careers,” Esther Drill, Jessica A. Lavery, Stephanie Lobaugh, et al.

Curricula for Non-STEM Majors

  • “Constructing a Course on Classification Methods for Undergraduate Non-STEM Students: Striving to Reach Knowledge Discovery,” Anna Khalemsky, Roy Gelbard, and Yelena Stukalin
  • “Data Skills for Everyone! (?)–An Approach to Assessing the Integration of Data Literacy and Data Science Competencies in Higher Education,” André Coners, Benjamin Matthies, Carolin Vollenberg, and Julian Koch

High School Resources for Data Science and Statistical Literacy

  • “Studying the Opportunities Provided by an Applied High School Mathematics Course: Explorations in Data Science,” Jo Boaler, Kira Conte, Ken Cor, et al.
  • “Lessons to Demonstrate Statistical Literacy Skills: A Case Study of Japanese High School Students on Reading Statistical Reports,” Shunya Koga

Strategies and Resources for Statistics Educators

  • “Using Formative Assessment and Feedback from Student Response Systems (SRS) to Revise Statistics Instruction and Promote Student Growth for All,” Grace Pai
  • “Red Light Reaction – A Statistics Project with Real Life Application,” Silvia Heubach and Tuyetdong Phan-Yamada
  • “Age Guessing: A Game to Introduce Fundamental Statistical Concepts,” Amir Rastpour and Abraham Amini
  • “Simulation-Based Inference: Random Sampling vs. Random Assignment? What Instructors Should Know,” Beth Chance, Karen McGaugheu, Sophia Chung, Alex Goodman, Soma Roy, and Nathan Tintle

The January issue also includes an editorial, “Improving the Teaching and Learning of Data Science, Statistical Literacy and the Science of Data,” highlighting the papers and the change of names chosen for our discipline.

To receive updates about JSDSE or share feedback, email Editor Juana Sanchez. Also, no matter how advanced the statistics and data science course or concept you are teaching, if you have an educational approach or resource that could help others enhance their teaching, consider JSDSE as the platform to share it.

Filed Under: Additional Features, Journal Highlights, Journal of Statistics and Data Science Education Highlights, Member News Tagged With: Education, educators, high school resources, Journal of Statistics and Data Science Education, Journal of Statistics and Data Science Highlights, JSDSE, JSDSE highlights, statistical literacy, statistics education, teaching

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