Learning analytics for Lix puzzle-game

DOI

This study aimed to understand how people learn from games and serious games. Specifically, the aim was to collect data from gaming interactions to see if we can identify any patterns. The experiments have been carried out with a group of 15 participants. We asked them to play a short minigame of a game called Lix. Our data set contains the players' time series of activities during a gameplay. There are 15 CSV files containing the players' data per gameplay. Each file contains 11 features. The descriptions of the game, features, and actions are provided in separate txt files.

Identifier
DOI https://doi.org/10.17026/dans-xk7-8f5r
Source https://nbn-resolving.org/urn:nbn:nl:ui:13-rx1r-k2
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:67926
Provenance
Creator Vahdat, M. (Eindhoven University of Technology); Carvalho, M.B. (Tilburg University); Funk, M. (Eindhoven University of Technology); Rauterberg, M. (Eindhoven University of Technology); Hu, J. (Eindhoven University of Technology); Anguita, D. (University of Genoa)
Publisher Data Archiving and Networked Services (DANS)
Contributor Mehrnoosh Vahdat; Maira B. Carvalho
Publication Year 2017
Rights info:eu-repo/semantics/openAccess; License: http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Representation
Language English
Resource Type Dataset
Format CSV; TXT
Discipline Computer Sciencey
Spatial Coverage The Netherlands