Learning Analytics in BEACONING Sample Clauses

Learning Analytics in BEACONING. The Learning Analytics Model describes what statements are being sent by the tracker; and the analyses and visualizations that will be performed and later used to display results. With this approach, game developers may communicate in-game information to other stakeholders (for instance, teachers). While the game could e-mail or instant-message results to stakeholders, it is considerably easier to report the information to the analytics system which may perform any required post-processing and provide rendered dashboards or data to the broader platform. This results in visualizations with added value, as the information will be presented in a clearer way after filtering and analysis, simplifying information extraction and making it both more effective and efficient. Notice that when reporting to students, games can present current data directly to users, without analytics support; or rely instead on the Analytics API as described in Section 5. However, presenting more complex data within the game, such as comparing a single user’s performance with the class, or displaying historical (from previous game-play sessions) or GLP- level data (from other games in the same GLP) can only be reasonably implemented by going through the Analytics API. Avoiding analytics, would, for these scenarios, require a much more complex game and game server to provide these services; and would in fact duplicate basic analytics functionality. For the process depicted in Figure 2 to occur smoothly, every step needs to follow some previously defined rules in terms of format and types. Even then, best results require game- specific analysis and visualizations: while BEACONING Analytics uses defaults to simplify initial deployment and provide example analytics and visualizations to build on, these are generic in nature, and custom-built visualizations for each game can provide much better insights. Several steps need to be completed for any given game or minigame to actually report meaningful learning information. These steps are as follows:
Sample 1
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