Related resources

Here are some relevant resources to help support you with utilising learning analytics in your teaching.

Student Evaluation of Teaching and Units (SETU)

Multiple data points are required to triangulate and interpret learning analytics. SETU is another source of data that should be considered with all other sources of data before drawing conclusions.

Student Evaluation of Teaching and Units (SETU) is a way we get to hear from students about their experience of learning within a unit. The responses provide the University with a broad indicator of students' perceptions of teaching and their learning journey.

Feed Forward (Bento Box)

The Feed Forward  Bento Box enables teaching staff to gain immediate feedback from students about their teaching and learning experiences during the teaching period. It is suggested to integrate this bento into Week 3 or Week 4 of teaching to provide an opportunity to act on formative feedback to improve the learning experience during the teaching period.

This bento consists of a set of sentiment questions in a Moodle questionnaire poll which have been prepopulated to align with annual Quality Indicators for Learning and Teaching (QILT) surveys. Results gathered from the poll will be utilised to design and implement an improvement plan for learning and teaching in the unit during the teaching period. A template is provided for sharing the results of the poll and subsequent unit improvements and actions.

Society for Learning Analytics and Research

The Society for Learning Analytics Research (SoLAR) is an interdisciplinary network of leading international researchers who are exploring the role and impact of analytics on teaching, learning, training and development. Monash University has an institutional membership in the Society for Learning Analytics Research (SoLAR) for Monash, which allows an unlimited number of staff and students to register as regular members free of charge. Contact educationtechnologies@monash.edu for the discount code.

Relevant policies and procedures

Monash values the privacy of every individual and is committed to the protection of personal data.  Therefore, any learning analytics collected should be stored and protected appropriately.

Monash has specific policies and procedures related to data protection and privacy. Take the time to review these to inform your teaching practice.

Data Protection and Privacy Procedure

This procedure applies to personal information, sensitive information, health information and special category data.

Student Privacy Collection Statement

This statement explains to students how the University can use the data it collects from students.

Draw inspiration

Analytics case study: Using analytics from Moodle lessons

Learn how lecturers in MKF1120 used Moodle lessons analytics to track students’ online activity and their performance to be able to offer appropriate and timely advice.

Using Moodle Data to Inform your Teaching

Explore how to retrieve meaningful data from Moodle and improve the learning experience.

The Centre for Learning Analytics at Monash

CoLAM is a world-leader in learning analytics – and a globally-renowned hub for educating students and professionals in this area. Gathering top expertise from around the world, we’re developing our field while making a real-world impact.