Data Jam: Introducing High School Students to Data Science

被引：2

作者：

Haqqi, Saman ^{[1
]}

Sooriamurthi, Raja ^{[2
]}

Macdonald, Brian ^{[3
]}

Begandy, Cheryl ^{[4
]}

Cameron, Judy ^{[5
]}

Pirollo, Berni ^{[6
]}

Becker, Evan ^{[5
]}

Choffo, Jacqueline ^{[5
]}

Davis, Christopher ^{[5
]}

Farrell, Margaret ^{[5
]}

Lundahl, Jennifer ^{[5
]}

Marshall, Laura ^{[5
]}

Wyche, Kyle ^{[5
]}

Zheng, Aaron ^{[5
]}

机构：

[1] IBM Corp, Pittsburgh, PA 15222 USA

[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA

[3] Teradata Corp, San Diego, CA USA

[4] Pittsburgh Supercomp Ctr, Pittsburgh, PA USA

[5] Univ Pittsburgh, Pittsburgh, PA 15260 USA

[6] Pittsburgh Data Works, Pittsburgh, PA USA

来源：

ITICSE'18: PROCEEDINGS OF THE 23RD ANNUAL ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION | 2018年

关键词：

Data science; outreach; K12;

D O I：

10.1145/3197091.3205812

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

At the present, there is a significant lack of programs or resources at the high school level to prepare students for a data driven future. Data Jam is a high school outreach program, that introduces students to data science. The program is organized by members of academia (Carnegie Mellon University, University of Pittsburgh) and industry and research (IBM, Teradata, Pittsburgh Computing Center). Over a period of four months (Oct-Feb of the school year), teachers and students explore the concepts of data science and big data via workshops, exercises, a field trip, and a team project. Data Jam is currently in its fifth year. Participation has grown from an initial pool of seven teams to twenty-five teams last year. Based on teacher and student feedback, we are pleased with the program's success. This poster discusses the goals and structure of Data Jam, its execution, participant feedback, and lessons learned.

引用

页码：387 / 387

页数：1

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