Developed within the RAGE project funded by EU within Horizon2020 program. This asset enables a real-time automatic adaptation of game difficulty to player's expertise level. The adaptation algorithm makes use of a stealth assessment algorithm that assigns difficulty ratings and expertise ratings to the players and the game modules respectively. The asset tracks changes in these ratings allowing assessment of players' learning progress either by players themselves or by instructors. This is the version written in TypeScript language.
|Place of Publication||Heerlen|
|Publisher||Open Universiteit Nederland|
|Publication status||Published - 23 Sep 2016|
- automatic game adaptation
- stealth assessment
- adaptation algorithm
Nyamsuren, E. (Author). (2016). Adaptation and Assessment (TwoA) asset in TypeScript (v1.0). Software, Heerlen: Open Universiteit Nederland. Retrieved from https://github.com/rageappliedgame/HATAsset_TS