Applying standards to systematize learning analytics in serious games

Angel Serrano-Laguna, Ivan Martinez-Ortiz, Jason Haag, Damon Regan, Andy Johnson, Baltasar Fernandez-Manjon

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Abstract

Learning Analytics is an emerging field focused on analyzing learners’ interactions with educational content. One of the key open issues in learning analytics is the standardization of the data collected. This is a particularly challenging issue in serious games, which generate a diverse range of data. This paper reviews the current state of learning analytics, data standards and serious games, studying how serious games are tracking the interactions from their players and the metrics that can be distilled from them. Based on this review, we propose an interaction model that establishes a basis for applying Learning Analytics into serious games. This paper then analyzes the current standards and specifications used in the field. Finally, it presents an implementation of the model with one of the most promising specifications: Experience API (xAPI). The Experience API relies on Communities of Practice developing profiles that cover different use cases in specific domains. This paper presents the Serious Games xAPI Profile: a profile developed to align with the most common use cases in the serious games domain. The profile is applied to a case study (a demo game), which explores the technical practicalities of standardizing data acquisition in serious games. In summary, the paper presents a new interaction model to track serious games and their implementation with the xAPI specification.
Original languageEnglish
Pages (from-to)116-123
JournalComputer Standards & Interfaces
Volume50
DOIs
Publication statusPublished - 30 Sep 2016
Externally publishedYes

Keywords

  • serious games
  • learning analytics
  • standards
  • xAPI

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    Cite this

    Serrano-Laguna, A., Martinez-Ortiz, I., Haag, J., Regan, D., Johnson, A., & Fernandez-Manjon, B. (2016). Applying standards to systematize learning analytics in serious games. Computer Standards & Interfaces, 50, 116-123. https://doi.org/10.1016/j.csi.2016.09.014