Abstract
Our motivation in this paper is to predict student Engagement (E), Behavior (B), Personality (P) and Performance (P) via designing a Tracking Student Perfor-mance Tool (TSPT) that obtained data directly from Moodle logs of any selected courses. The proposed tool follows the predictive EBP model that focuses mainly on student's EBP and Performance where the instructor could use it to monitor the overall performance of his/her students during the course. The results of test-ing the tool show that the developed tool gives the same as manual results analy-sis. Analyzing Moodle log of any course using such a tool is supposed to help with the implementation of similar courses and helpful for the instructor in re-designing it in a way that is more beneficial to the students. This paper sheds light on the importance of studying student's EBPP and provides interesting possibili-ties for improving student performance with a specific focus on designing online learning environments or contexts.
Highlights
Nobody can deny that education evolves, and technology plays a significant role in this evolution [1]
Under such circumstances, there are critical needs to study such as student Engagement (E), Behavior (B), Personality (P), and performance to provide an intelligent learning behavior environment to meet the demands of students
This paper proposed Tracking Student Performance Tool (TSPT) for instructors to potentially assist them proactively and effectively in developing additional content for low and average student performance
Summary
Nobody can deny that education evolves, and technology plays a significant role in this evolution [1]. New challenges are being identified as information and communication technologies improve, owing to the vast amounts of data regarding students' activities, academic outcomes, and user interactions being stored [4] Studying these data could benefit both instructors and students and create new learning paths [5]. This paper proposed Tracking Student Performance Tool (TSPT) for instructors to potentially assist them proactively and effectively in developing additional content for low and average student performance. This tool is an intelligent instructor tool to analyze, visualize, and tracking their student Engagement, Behavior and Personality (EBP), and Performance.
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