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TAG: learning analytics

A summary of the 2018 Learning Enhancement & Innovation Grant Scheme

The Learning Enhancement and Innovation Grant Projects for 2018 have officially concluded. After collating the final reports, we can now share a summary of each of the nine projects that were part of this scheme. The 2018 LEI grant scheme facilitated projects that aimed to enhance and develop new and better approaches to achieving student learning outcomes. The funds […]

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New Years Resolution: Use Learning Analytics

This year, make a plan to use learning analytics in MyUni right from the beginning! Learning analytics gives insight into the specific learning and teaching behaviours associated with the most favourable learning outcomes. Embedding actionable learning analytics into the curriculum design enables real-time, evidence-based decision-making for both students and teachers. Evidence-based decision-making enables modification of […]

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Leveraging Canvas Data for the Assessment of Students in Online Discussion.

In Term 4 of 2018, the Online Learning course in the School of Education apportioned 30% of the final mark to participation in MyUni discussion boards. The rationale behind this was outlined in the course modules. “Collaborative Learning is based on the idea that learning occurs as the result of interaction between members of a […]

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Designing for learning in MyUni

Design thinking starts with the idea of understanding people. According to *Donald A. Norman in his book Living with Complexity “We must design for the way people behave, not for how we would wish them to behave”. In an education context an understanding of how learners behave is crucial to the process of designing for […]

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LEI’s ‘High Failure Rate’ HAKLAB/01 Contribution

On Tues 25th September our colleagues over in ITDS hosted a Hack Day on the Mezzanine Level 5 of The Hub.  As they explained to us ‘a Hack Day is an organised event where teams come together to develop ideas which help to solve a business problem’.  The brief was that we should ‘mashup, reuse […]

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Get to know your analytics in MyUni

The analytics in MyUni combines activity data from Canvas, students and unit/course from PeopleSoft. How can Learning Analytics be used? Understand students’ behaviours and adapt to a personalised learning path. Identify students and class engagement patterns online, i.e. are students logging in and accessing items/tools, and if so, when. Clarify access patterns, both timing and […]

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Learning Analytics come to life!

Do you know who your students are this semester? Would knowing about them help you to be more prepared and effective in delivering your courses? Try the New Course Student Profile Report in LMS Analytics! It provides demographic information about the students in your course i.e. which other courses are they studying, which other programs […]

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Using the ‘LMS Analytics’ tool to connect with students

Understanding the student access and activity within a course is even more valuable when connecting with students about their progress. The ‘LMS Analytics’ tool in every MyUni course supports staff to explore course activity and connect with students via email. Instructors can rapidly access data on the frequency and timing of student access for course content, including […]

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LMS Analytics – Enabling greater access to course and student activity

You now have greater access to courses and student activity in your course through a new feature in MyUni that supports evidence-informed engagement in your learning and teaching activities. LMS Analytics The new feature “LMS Analytics” has been added to Semester 1, 2018 MyUni courses. LMS Analytics enables staff to – See the number of […]

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Evidence-Based Decision Making: Using Learning Analytics to Improve Learning and Teaching Outcomes

Guest blog by Dr David Wilson, Lecturer | Head of Molecular Physiology of Vascular Function Research Group, School of Medical Sciences I would like to share a tip that will help you choose the best submission time for assignments. Student activity in the LMS: Learning Analytics data indicate that in the evenings students are most active in […]

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