In the multitude of available badging platforms, it is not easy to choose the appropriate one to support a particular badging (sub-)system. A list of badging features provided for a certain platform is often not informative enough and might even be misleading. To address this problem, this chapter provides a deeper insight into current features of badging platforms, and thus help one make more informed decision when choosing a platform for a specific application case.
To this end, we first examined relevant academic literature and other relevant resources, and based on the obtained insights, de
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In the multitude of available badging platforms, it is not easy to choose the appropriate one to support a particular badging (sub-)system. A list of badging features provided for a certain platform is often not informative enough and might even be misleading. To address this problem, this chapter provides a deeper insight into current features of badging platforms, and thus help one make more informed decision when choosing a platform for a specific application case.
To this end, we first examined relevant academic literature and other relevant resources, and based on the obtained insights, developed several scenarios describing typical forms of interaction with badging systems. Then, we identified functional requirements related to each scenario and established a set of comparison criteria for badging platforms, namely supported scenarios, variety of badging features, and supported badging and teaching/learning practices. Using these criteria, we reviewed, analyzed and compared features of six selected badging platforms.
The study results reveal feature-wise differences as well as differences in supported practices among the platforms, many of which are the result of different origin and focus of the platforms. In addition, the results offer a realistic insight into the capabilities of the selected platforms.
Published abstract.
The volume from which this chapter is taken is available in VOCEDplus at TD/TNC 140.620.
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