Towards a Task Mining Recording Tool for the Automated Generation and Recording of xAPI Statements for Virtual Learning Environments

Using xAPI statements, learner interactions can be tracked in virtual learning environments. Many educational software providers now incorporate xAPI interfaces for collecting valuable behavioral learning data. However, challenges exist, as not all manufacturers support xAPI statement generation, and not all educational software is open source. Additionally, the software may not consistently produce sufficient xAPI data or accurately capture all interactions. Educators often lack the necessary software development skills, particularly with open -source software, to implement effective xAPI tracking. In this CSCI-RTED track paper, we present a solution enabling xAPI statement generation from software, irrespective of source code access or vendor support. In this short paper, we give an overview of the corresponding State of the Art for User Interaction Recording with task mining and capturing, demonstrate our solution's integration in a digital university teaching scenario, provide an overview of implementation, and offer a partial evaluation.