Adaptation and Assessment (TwoA) asset in TypeScript (v1.0)

Enkhbold Nyamsuren

Research output: Non-textual formSoftwareAcademic

1 Downloads (Pure)

Abstract

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.
Original languageEnglish
Place of PublicationHeerlen
PublisherOpen Universiteit Nederland
Publication statusPublished - 23 Sep 2016

Keywords

  • automatic game adaptation
  • stealth assessment
  • adaptation algorithm
  • RAGE

Cite this

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
Nyamsuren, Enkhbold (Author). / Adaptation and Assessment (TwoA) asset in TypeScript (v1.0). [Software].
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abstract = "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.",
keywords = "automatic game adaptation, stealth assessment, adaptation algorithm, RAGE",
author = "Enkhbold Nyamsuren",
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Nyamsuren, E, Adaptation and Assessment (TwoA) asset in TypeScript (v1.0), 2016, Software, Open Universiteit Nederland, Heerlen.
Adaptation and Assessment (TwoA) asset in TypeScript (v1.0). Nyamsuren, Enkhbold (Author). 2016. Heerlen : Open Universiteit Nederland.

Research output: Non-textual formSoftwareAcademic

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AB - 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.

KW - automatic game adaptation

KW - stealth assessment

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Nyamsuren E (Author). Adaptation and Assessment (TwoA) asset in TypeScript (v1.0) Heerlen: Open Universiteit Nederland. 2016.