2026-04-30T02:04:51Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

5ee7c52b230eda15f6a77cf936ae075289a716bd0eb63696cb5ff740fded91b1 2025-12-08T01:33:56Z language:enopenaire_data

Learning analytics for Lix puzzle-game Learning analytics for Lix puzzle-game doi:10.17026/DANS-XK7-8F5Reasy-dataset:67926 M. Vahdat M.B. Carvalho M. Funk M. Rauterberg J. Hu D. Anguita 2016-01-01 DANS Data Station Social Sciences and Humanities 2017-01-17 Computer and Information ScienceSocial SciencesLearning Analytics; Educational Data Mining; Serious Games; Puzzle Games; Technology Enhanced Learning <p>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.<br>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.</p><p>Use of this dataset in publications must be acknowledged by referencing the publication mentioned above (Relation).</p><p>This work was supported in part by the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments, which is funded by the EACEA Agency of the European Commission under EMJD ICE FPA n2010-0012.</p> https://ssh.datastations.nl/oai doi:10.17026/DANS-XK7-8F5R 2025-12-03T01:00:46Z ddi:codebook:2_5