Skip to main navigation Skip to search Skip to main content

A framework for learning analytics in moodle for assessing course outcomes

  • American University of the Middle East
  • University of Alcalá

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

49 Scopus citations

Abstract

Assessment of course learning outcomes is a fundamental measure of student learning success in a course. This assessment is core measure for educational effectiveness required by any specialized accreditation body. Learning analytics is a powerful mean to inform learners, instructors and educational institutions about the student's performance and the progress of the learning process and to support the student success. Many useful LA tools are available in different LMS platforms such as Moodle. They are used to report student performance in specific activity. However there is a lack of integrated LA tool that can assess course learning outcomes and predict the student performance and achievement against specific outcomes. In this paper, we propose a new framework for developing learning analytics tool to assess these outcomes in the well-known open source LMS Moodle. Our framework is based on direct measure of the course learning outcomes through embedded examination of each outcome and its associated LMS activities, then to analyze the result in order to evaluate the achievement of program outcomes and to propose improvement for the coming semester where the studied course will be offer.

Original languageEnglish
Title of host publicationProceedings of 2016 IEEE Global Engineering Education Conference, EDUCON 2016
Subtitle of host publication"Smart Education in Smart Cities"
PublisherIEEE Computer Society
Pages261-266
Number of pages6
ISBN (Electronic)9781467386333
DOIs
StatePublished - 19 May 2016
Externally publishedYes
Event2016 IEEE Global Engineering Education Conference, EDUCON 2016 - Abu Dhabi, United Arab Emirates
Duration: 10 Apr 2016 → 13 Apr 2016

Publication series

NameIEEE Global Engineering Education Conference, EDUCON
Volume10-13-April-2016
ISSN (Print)2165-9559
ISSN (Electronic)2165-9567

Conference

Conference2016 IEEE Global Engineering Education Conference, EDUCON 2016
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period10/04/16 → 13/04/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Course Outcomes
  • Educational Effectiveness
  • Learning Analytics
  • Moodle

Fingerprint

Dive into the research topics of 'A framework for learning analytics in moodle for assessing course outcomes'. Together they form a unique fingerprint.

Cite this