Learning analytics for Lix puzzle-game

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.

DOI https://doi.org/10.17026/dans-xk7-8f5r
PID 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
Creator Vahdat, M.; Carvalho, M.B.; Funk, M.; Rauterberg, M.; Hu, J.; Anguita, D.
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; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Language English
Resource Type Dataset
Format CSV; TXT
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences
Spatial Coverage The Netherlands