The research highlights the necessity for educators to comprehend and utilize data from intelligent tutoring systems (ITS) effectively. It discusses a revised meta-architecture for ITS that emphasizes the educators' role, recommending the design of teaching dashboards that allow interactions with various system models. This study implies educators should reflect on their access to data and its implications on their teaching methods, proposing the need for an educator model to enhance the reflection on instructional effectiveness when incorporating ITS into higher education.
Educators can fully utilize intelligent tutoring systems only if they understand and interpret learner data and translate this into effective pedagogical actions.
Our findings suggest the integration of educator models into intelligent tutoring systems, facilitating reflection on teaching effectiveness and supporting better pedagogical decisions.
#intelligent-tutoring-systems #educator-models #higher-education #data-interpretation #learning-analytics
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