چارچوب ارزیابی عملکرد دانشجویان مبتنی بر اینترنت اشیا Internet of Things-based student performance evaluation framework

1. Introduction Educational institutions are the nation builders. They provide a large variety of learning environments and learning spaces. The advancement in information and communication technology has affected educational institutions’ functionality significantly. The potential of ubiquitous learning is reflected in increasing access to learning content and other objects in the interaction environment supported by computers anytime and anywhere (Gubbi et al. 2013). The purpose of ubiquitous computing technology in our domain is to improve student-activity-related learning environment. It tries to adopt data from various objects in different activity context, which plays a significant role in generating studentrelated daily-activity performance score in education perspective. Despite various technological developments in educational institutions, performance evaluation of student is still manual. Moreover, many important parameters are usually overlooked while calculating student performance score. Personal (evaluator) views may be unfair to reflect the actual performance of each student. Therefore, the decisions taken by management authorities cannot be acceptable in the current scenario. In addition, generating student performance score based on objects (students, teachers and other objects) interactions for various activities is the need of the hour. To eliminate human biasness and aforementioned flaws in accessing student capabilities in educational institutions, the best alternative is to shift towards automated student performance evaluation system by observing the student behaviour using IoT devices. The student performance calculation in an educational institute is a continuous process and can be effectively handled by exploring the ubiquitous features of IoT devices. Hence, student performance must be evaluated by considering scores from various fields such as academics, sports, behaviour and interaction activities. Students must maintain consistency between academic and other development activities so that they remain positive, encouraged, enthusiastic and ambitious. Therefore, there is a need to evaluate student performance on regular basis considering important student performance attributes. These results are useful in deciding the field, in which a student can excel. IoT (Internet of Objects) is emerging as a network of interconnected uniquely identifiable objects. Its basic objective is to create smart environment/spaces and self-aware things. Smart environment encompasses a low-power, low-cost, high capacity and miniaturised sensors, wired and wireless communication network (Miorandi et al. 2012). Smartness is achieved from the interaction of a ubiquitous network of interconnected objects through sensors, actuators, RFID, GPS devices and other wireless and mobile devices (Gubbi et al. 2013). Moreover, the ‘smart’ objects from pervasive computing environment are paving the way to continuous monitoring of students and staff by heterogeneous IoT devices. Based on aforementioned facts, this paper proposes a system that allows students to interact with each other and objects in the form of Internet of Objects.