Detection and Intervention Engagement Service Development for New Normal Distance Learning

The trend of using video conferencing applications for distance learning has increased during the pandemic and the new normal period. Distance learning offers a solution to overcome distance and time differences through the use of new information technology that can be continuously updated. However, distance learning also presents challenges and problems in engaging learners. It is important to know how the level of learner’s engagement are during distance learning. To determine the engagement level of learners in distance learning, a detector is needed that can reach learners who are not visible to the instructor. Along with detection, interventions to improve engagement in distance learning are also necessary to maintain high levels of learner engagement. Previous studies on the detection of engagement with computer vision based on facial emotion expressions have not implemented interventions in their research. This research accommodates engagement interventions in distance learning based on the level of engagement that has been detected by engagement detection services. Distance learning using this service prototype shows that the level of student engagement is maintained.