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Learning analytics for Lix puzzle-game

Cite as:

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) (): Learning analytics for Lix puzzle-game. DANS. https://doi.org/10.17026/dans-xk7-8f5r

2016 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) 10.17026/dans-xk7-8f5r

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.

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