Abstract
| Original language | English |
|---|---|
| DOIs | |
| Publication status | Published - 17 Jan 2017 |
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Research output: Non-textual form › Data set/Database › Other research output
TY - ADVS
T1 - Learning analytics for Lix puzzle-game
AU - Vahdat, Mehrnoosh
AU - Carvalho, Maira B.
AU - Funk, Matthias
AU - Rauterberg, Matthias
AU - Hu, Jun
AU - Anguita, Davide
PY - 2017/1/17
Y1 - 2017/1/17
N2 - 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.
AB - 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.
U2 - 10.17026/dans-xk7-8f5r
DO - 10.17026/dans-xk7-8f5r
M3 - Data set/Database
ER -