Preliminary analysis of code hunt data set from a contest

Pierre McCauley, Brandon Nsiah-Ababio, Joshua Reed, Faramola Isiaka, Tao Xie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationCHESE 2016 - Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering, co-located with FSE 2016
EditorsChang Liu, Rishabh Singh
PublisherAssociation for Computing Machinery, Inc
Pages7-8
Number of pages2
ISBN (Electronic)9781450344029
DOIs
StatePublished - Nov 14 2016
Event2nd International Code Hunt Workshop on Educational Software Engineering, CHESE 2016 - Seattle, United States
Duration: Nov 14 2016 → …

Publication series

NameCHESE 2016 - Proceedings of the 2nd International Code Hunt Workshop on Educational Software Engineering, co-located with FSE 2016

Other

Other2nd International Code Hunt Workshop on Educational Software Engineering, CHESE 2016
Country/TerritoryUnited States
CitySeattle
Period11/14/16 → …

Keywords

  • Code hunt
  • Educational software engineering

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Fingerprint

Dive into the research topics of 'Preliminary analysis of code hunt data set from a contest'. Together they form a unique fingerprint.

Cite this