Hyperautomation to Increase Effectiveness of Student Online Learning Behavior

Abstract

Vietnamese higher education has been dealing with increasing student enrollment and that will likely continue for some time. Employers are reporting not being satisfied with the quality of workers they are getting from the pool of university graduates and want employees to be more autonomous. Likewise, students also need to learn how to study more independently outside of the classroom. To help students develop the skills they need, higher education institutions should put the burden of learning onto the student rather than on the already overloaded teaching staff. Social modeling, from social cognitive theory, can be combined with technology to change student learning-related behavior as this randomized control trial with 309 undergraduate students shows. The behaviors which were under study included student interactions with the university’s learning management system (LMS). Comparing the interactions with the LMS between the treatment and control groups shows a weekly report can be successful in motivating students to change their behavior. With the recent worldwide requirement of remote learning due to the Covid-19 pandemic, students will naturally interact with the LMS more than before. This will provide additional data to the system allowing clearer identification of the behaviors that lead to top-performing students.