Adaptation and Assessment (TwoA) asset in C# (v1.1)

Enkhbold Nyamsuren

    Research output: Non-textual formSoftwareAcademic

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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 C# language.
    Original languageEnglish
    Publication statusPublished - 17 Mar 2016

    Keywords

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

    Projects

    Rage: Realising an Applied Gaming Eco-system

    Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.

    1/02/1531/07/19

    Project: Research

    Cite this

    Nyamsuren, E. (Author). (2016). Adaptation and Assessment (TwoA) asset in C# (v1.1). Software