Abstract Number:
1809
Submission Type:
Topic-Contributed Paper Session
Participants:
Mine Dogucu (1), Mine Dogucu (1), Sameer Deshpande (2), Joshua Rosenberg (3), Edward Pineda-Castro (4), Ming-Wen An (5), Sinem Demirci (6)
Institutions:
(1) University of California Irvine, N/A, (2) University of Wisconsin- Madison, N/A, (3) University of Tennessee, Knoxville, N/A, (4) Los Angeles City College, N/A, (5) Vassar College, N/A, (6) Cal Poly, San Luis Obispo, N/A
Chair:
Discussant:
Session Organizer:
Speaker(s):
Session Description:
Data scientist is one of the emerging jobs according to U.S. job market trends. With a high demand in the workforce, four-year colleges and universities, community colleges, and K-12 institutions have been developing, adopting, and revising curricula. Many talks, seminars, sessions focus on different teaching contexts whether be K-12, community colleges, or four-year college and universities separately. The goal of this session is to break those barriers and provide opportunity for data science educators in different teaching contexts to learn from each other. The talks will include curricular innovations and implementations from different educational contexts. We will discuss implications for the broader statistics education community.
Sponsors:
ASA/NCTM Joint Comm on Curriculum in Stats and Probability 2
Section on Statistics and Data Science Education 1
Section on Teaching of Statistics in the Health Sciences 3
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
No
Applied
Yes
Estimated Audience Size
Small (<80)
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
I understand