HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >

Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges

Files in This Item:
16848-72104-2-SM.pdf1.78 MBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/68052

Title: Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges
Authors: Baba, Yukino Browse this author
Takase, Tomoumi Browse this author
Atarashi, Kyohei Browse this author
Oyama, Satoshi Browse this author →KAKEN DB
Kashima, Hisashi Browse this author
Issue Date: 2018
Publisher: EAAI
Journal Title: Proceedings of the Eighth Symposium on Educational Advances in Artificial Intelligence (EAAI-18)
Abstract: Data analysis education plays an important role in accelerating the efficient use of data analysis technologies in various domains. Not only the knowledge of statistics and machine learning, but also practical skills of deploying machine learning and data analysis techniques, are required for conducting data analysis projects in the real world. Data analysis competitions, such as Kaggle, have been considered as an efficient system for learning such skills by addressing real data analysis problems. However, current data analysis competitions are not designed for educational purposes and it is not well studied how data analysis competition platforms should be designed for enhancing educational effectiveness. To answer this research question, we built, and subsequently operated an educational data analysis competition platform called University of Big Data for several years. In this paper, we present our approaches for supporting and motivating learners and the results of our case studies. We found that providing a tutorial article is beneficial for encouraging active participation of learners, and a leaderboard system allowing an unlimited number of submissions can motivate the efforts of learners. We further discuss future directions of educational data analysis competitions.
Conference Name: The Eighth Symposium on Educational Advances in Artificial Intelligence (EAAI-18)
Conference Place: New Orleans, Louisiana
Type: proceedings (author version)
URI: http://hdl.handle.net/2115/68052
Appears in Collections:情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小山 聡

Export metadata:

OAI-PMH ( junii2 , jpcoar )

MathJax is now OFF:


 

Feedback - Hokkaido University