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2016-12-01
Pierre McCauley, University of Illinois at Urbana-Champaign, Brandon Nsiah-Ababio, University of Illinois at Urbana-Champaign, Joshua Reed, University of Illinois at Urbana-Champaign, Faramola Isiaka, University of Illinois at Urbana-Champaign, Tao Xie, University of Illinois at Urbana-Champaign.  2016.  Preliminary Analysis of Code Hunt Data Set from a Contest. 2nd International Code Hunt Workshop on Educational Software Engineering (CHESE 2016).

Code Hunt (https://www.codehunt.com/) from Microsoft Research is a web-based serious gaming platform being popularly used for various programming contests. In this paper, we demonstrate preliminary statistical analysis of a Code Hunt data set that contains the programs written by students (only) worldwide during a contest over 48 hours. There are 259 users, 24 puzzles (organized into 4 sectors), and about 13,000 programs submitted by these users. Our analysis results can help improve the creation of puzzles in a future contest.