Stochastic frontier estimation of efficient learning in video games
Karla R. Hamlen
Computers & Education Volume 58, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd
Stochastic Frontier Regression Analysis was used to investigate strategies and skills that are associated with the minimization of time required to achieve proficiency in video games among students in grades four and five. Students self-reported their video game play habits, including strategies and skills used to become good at the video games they play. Results indicated an association between game play time spent during vacation weeks and proficiency at the game, but no such association existed with game play time during typical weeks when school is in session. Several strategies and skills were associated with the minimization of time spent to achieve proficiency at the game, while a few strategies and skills held a negative association with efficient learning in games. Some of the findings paralleled those of prior research on formal education. Gender differences, as well as implications for games and learning are discussed.
Hamlen, K.R. (2012). Stochastic frontier estimation of efficient learning in video games. Computers & Education, 58(1), 534-541. Elsevier Ltd. Retrieved June 10, 2023 from https://www.learntechlib.org/p/50694/.
This record was imported from Computers & Education on January 29, 2019. Computers & Education is a publication of Elsevier.Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2011.09.006