Name
Abstract | ||
|---|---|---|
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.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3197091.3205812 | ITiCSE |
Keywords | Field | DocType |
Data science, outreach, K12 | Data science,IBM,Computer science,Outreach,Field trip,Big data | Conference |
ISBN | Citations | PageRank |
978-1-4503-5707-4 | 0 | 0.34 |
References | Authors | |
0 | 14 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saman Haqqi | 1 | 0 | 0.34 |
| Raja Sooriamurthi | 2 | 99 | 10.53 |
| Brian Macdonald | 3 | 0 | 0.34 |
| Cheryl Begandy | 4 | 0 | 0.34 |
| Judy Cameron | 5 | 0 | 1.01 |
| Berni Pirollo | 6 | 0 | 0.34 |
| Evan Becker | 7 | 0 | 0.34 |
| Jacqueline Choffo | 8 | 0 | 0.34 |
| Christopher Davis | 9 | 0 | 0.34 |
| Margaret Farrell | 10 | 0 | 0.34 |
| Jennifer Lundahl | 11 | 0 | 0.34 |
| Laura Marshall | 12 | 0 | 0.34 |
| Kyle Wyche | 13 | 0 | 0.34 |
| Aaron Zheng | 14 | 0 | 0.34 |