Extending Learning Management System for Learning Analytics
Muhammad Abu Arqoub, Nuha El-Khalili, Mohammad Al-Sheikh Hasan, Abed Alkarim Banna
Abstract
Higher education institutions (HEI) recognize the value of providing resources to evaluate data relevant to students’ learning outcomes in the era of data science. The appraisal and assessment processes of students are the foundation for enhancing the level of teaching and learning in many HEI. Learning Management Systems (LMS) provide valuable data, but usually they need further processing to interpret this data in a manner that aligns with the principles of quality assurance and accreditation bodies. Learning analytics is concerned with the analysis of data collected from LMS. This paper presents a framework for extending the open-source Moodle learning management system to evaluate the achievement of the academic programs objectives and students’ outcomes in order to improve the teaching and learning processes and to leverage decision making related to educational management. The proposed framework relays in two integrated systems: Customized Moodle system for calculating course and student’s outcomes and a backend system for calculating learning outcomes at the program level and generating reports.