ASCILITE Learning Analytics SIG Webinar: Leveraging learning analytics to promote student-teacher interactions in online and blended learning
Date and Time: Thursday 18th August 2022 – 3pm – 4pm AEST | 1pm Singapore/Hong Kong | 5pm New Zealand
This interactive session is led by Lisa-Angelique Lim, who is a postdoctoral researcher in the area of automated feedback with the Connected Intelligence Centre at the University of Technology Sydney.
This webinar continues our series on “Breaking down the complexity of learner interactions using learning analytics”. Throughout the year the LA SIG will focus on Moore’s (1989) three types of interaction (student-to-teacher, student-to-student, and student-to-content), and how these can be explored using learning analytics.
In this session, we focus on the communication of feedback as a way to foster student-teacher interactions in online and blended learning. Feedback is well-documented to be critical for students’ learning and performance in any setting – especially, feedback that is timely and personalised to students’ progress. However, challenges to implementing effective feedback processes are presented when teaching in large cohorts or cohorts where students are learning remotely. In this interactive session, we discuss how it is possible to leverage learning analytics for providing timely and personalised feedback and support to all students in both online and blended settings, to enhance learning, as well as to promote student-teacher interactions. You will also hear from teachers who have used a learning analytics feedback tool called OnTask, to scale the communication of personalised feedback and support to their students.
You can register for the webinar via this link.
To join the ASCILITE LA-SIG Teams site to participate in the ongoing conversation, please send an email to Hazel Jones