Abstract

Smart city technologies are becoming dominant. One of the important pillars of a smart city is education. All citizens are learners in the smart city. To fulfill goals of a smart city, supported technology should be boosted. As a result of incorporation with the growing Information and Communication Technologies (ICT) along with software and hardware, learning environments have undergone numerous changes. Students and strategies represent the center point while adopting the online learning environment. This paper highlights important issues to shape electronic education. It considers Moodle-LMS to figure out the triangular relationship between the engagement, behavior and performance (EBP) of Sultan Qaboos Uinversity (SQU) students in any course. Moodle collects students’ information and generates students’ profiles. Researchers could analyze students’ profiles to findout relationships between different attributes (i.e. EBP). This could guide instructors to know how engagement and behavior could be used as an indication to improve students’ overall performance. This paper aims to suggest a test model intended to guide instructors to prepare personalized materials that suit individual students needs and overcome their deficiency towards a better performance. Another objective is to integrate the proposed model within Moodle environment. This paper uses data of 14 students from a fully online course at SQU. This is used to explore whether patterns of student engagement and behavior are correlated with student performance. Findings reveal the existence of a positive relationship between EBP attributes. Authors recommend instructors to use students’ results to recognize students who need additional support in a specific course.

Highlights

  • There is no doubt that students in the smart city are seen as a significant factor in all processes of learning

  • This paper offered a model for student engagement by using available data in Modular Object-Oriented Developmental Learning Environment (Moodle) (Logfile of the course) to analyze student engagement and performance

  • The results showed that most students with a high activity rate achieved a high score in the course, which mean there is a relationship between the number of activities in the course for each student and Total mark the setting outline of courses must be suitable for the learning style, skills, and interests of each student in order for each to do well in any chosen course

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Summary

Introduction

There is no doubt that students in the smart city are seen as a significant factor in all processes of learning. The achievements of students in completing their course tasks and both class participation and engagement are essential factors in enhancing the learning environment. The complete learning environment needs to be efficient and follow a certain learning management style. This is more effective as a way of enhancing smart city education [1]. If a particular student does not like or feel motivated when learning something, the results of the learning may not reach the required goals

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