Managing the Triangular Bond of the EBP for SQU Students Through the Proposed Test Model
Iman Al-Kindi1, Zuhoor Al-Khanjari2, Jamal Al-Salmi3

1Iman Al-Kindi*, Department of Computer Science, College of Science, Sultan Qaboos University, Muscat, Sultanate of Oman. Email:
2Zuhoor Al-Khanjari, Professor, Department of Computer Science, College of Science, Sultan Qaboos University, Muscat, Sultanate of Oman. Email:
3Jamal Al-Salmi, Assistant Professor, Department of Information Studies, College of Arts and Social Sciences, Sultan Qaboos University, Muscat, Sultanate of Oman. Email:
Manuscript received on October 05, 2020. | Revised Manuscript received on October 10, 2020. | Manuscript published on October 30, 2020. | PP: 391-402 | Volume-10 Issue-1, October 2020. | Retrieval Number:  100.1/ijeat.A19141010120 | DOI: 10.35940/ijeat.A1914.1010120
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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. 
Keywords: Student Engagement, Student Behavior, Student Performance, Learning Object, Moodle, Logfile.