Here are some relevant resources to help support you with utilising learning analytics in your teaching.
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.
Formative evaluation of your teaching (Feed Forward)
The Portfolio of the Deputy Vice-Chancellor (Education) has developed Feed Forward as a digital solution to enable you to evaluate students’ experiences of teaching in a unit. This will give you immediate feedback from students about their teaching and learning experiences. It will provide you with data which you can act on earlier than waiting on the release of SETU to read student feedback. You will get early insights into potential SETU results. Importantly, it will demonstrate to students that you are interested in their views and act on them.
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 firstname.lastname@example.org 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.
This procedure applies to personal information, sensitive information, health information and special category data.
This statement explains to students how the University can use the data it collects from students.
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.
Explore how to retrieve meaningful data from Moodle and improve the learning experience.
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.