Utilization of RFID analytics in assessing student engagement

The teaching and learning methods are increasingly adopting educational data mining approaches. This ever-changing landscape has allowed management to use educational data for strategic decision-making, offered students with relevant information to improve academic performance, and provided teachers with data on learners' behavior for effective teaching. To assess academically at-risk students, teachers need to gain valuable insights on student engagement, which includes class attendance, library and computer laboratory access, and use of other learning resources so that they can tailor the learning needs of students. Data analytics is used to examine student engagement inside and outside the classroom and predict learning trends. The popularity of Internet of Things and the convergence of RFID, Wireless Sensor Networks, Big Data, and Cloud Computing have enabled organizations to implement innovative information systems; however, their integrative potential has not been thoroughly explored. Having an RFID in combination with data analytics will provide various academic stakeholders valuable and critical information as regards students' learning behavior. Therefore, this paper reviews current trends of RFID in education and discusses opportunities of data analytics integration. Moreover, this paper also presents a conceptual framework of a basic RFID Analytic System that can be used in assessing student engagement.