Presented by Dr Mentari Djatmiko, Educational Data Scientist / Educational Analytics Manager
This work leveraged on the close collaboration with the following Student as Partners (SaP): Tara Sutjaritham, Yingran Sun and Daniel Cheng
Monday 18 June 2018 from 3pm - 5pm.
Educational analytics provides the means to understand, evaluate and improve the educational experience and students’ learning.
At UNSW, with the focus on blended course design and a digital uplift of learning and teaching, Moodle is an important source of data about learning activities and students’ engagement with course resources. However, Moodle data has not been fully utilised and holds untapped potential. Analytics extracted from learning management systems have been shown to help instructors track student engagement in the course, understand students’ responsiveness to assessments and identify students at risk of failing or underperforming.
In this session, we'll explore the current and future possibilities offered by Moodle analytics. Our contributions are two-fold. Firstly, we provide an overview of the nature of data available from the system, what can be learned from the data and how the outcomes can be used to evaluate and improve learning and teaching. Secondly, we chart a roadmap for a broad deployment of Moodle analytics with a systematic approach to reporting and evaluation of learning design.
Dr Mentari Djatmiko, Educational Data Scientist / Educational Analytics Manager
Mentari is a Data Scientist and Manager of Educational Analytics within Educational Delivery Services portfolio in the Office of the Pro-Vice Chancellor Education at UNSW Sydney. She is currently working on educational analytics and educational technology tools development. She joined UNSW as an Educational Data Scientist in October 2017. She has several years of professional experience, most recently as a Software Engineer, where she built a computationally secure Data Analytics platform.
For more information about the UNSW Learning Analytics & Data Science in Education Research Group (LA-EDS), click here.
Room 121, Level 1, Vallentine Annexe