TY - GEN
T1 - Teaching Big Data Concepts through Air Pollution Data
T2 - 28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023
AU - Chen, Jui Ting
AU - Hu, Chiu Fan
AU - Wu, Cheng Chih
N1 - Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/6/29
Y1 - 2023/6/29
N2 - In this study, we developed an instructional module consisting of four units to help high school students understand the 4V concepts of big data by exploring air pollution. The instructional module enabled students to explore air quality data on specific websites, and asked students to create a "calendar heat map"using open dataset. We taught the module in a high school class and the results demonstrated that students gained knowledge about big data, and became more aware of the impact of air pollution in their lives.
AB - In this study, we developed an instructional module consisting of four units to help high school students understand the 4V concepts of big data by exploring air pollution. The instructional module enabled students to explore air quality data on specific websites, and asked students to create a "calendar heat map"using open dataset. We taught the module in a high school class and the results demonstrated that students gained knowledge about big data, and became more aware of the impact of air pollution in their lives.
KW - big data
KW - computer science
KW - instructional module
UR - https://www.scopus.com/pages/publications/85166316941
UR - https://www.scopus.com/pages/publications/85166316941#tab=citedBy
U2 - 10.1145/3587103.3594194
DO - 10.1145/3587103.3594194
M3 - Conference contribution
AN - SCOPUS:85166316941
T3 - Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE
SP - 651
BT - ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education
PB - Association for Computing Machinery
Y2 - 8 July 2023 through 12 July 2023
ER -