27 - 28 June, 2018 | Bayview Eden, Melbourne, VIC

Pre-Conference Workshops: Tuesday, 26 June 2018

Workshops A

9:00 am - 11:00 am Illuminating the Relationship Between Student and Teacher Language Using Text Analytics

Dr Jenny McDonald - Director Quantext and Honorary Academic at the Centre for Learning and Research (CLeaR), The University of Auckland
Students are demanding more for their educational investments, and educational institutions need to meet this expectation and provide the best possible learning experience. With the right analytic tools, teachers will have a much more accurate picture of where each student stands in relation to the demands of their course and can tailor appropriate feedback and course design to enhance student learning.

This workshop will provide hands-on experience with a new text analytic platform. The platform is designed by teachers for teachers and supports the identification of actionable teaching insights from the interplay between student and teacher language. Data is drawn from short-form student writing (short-answer question responses, discussion forum posts, mini-essays) as well as from course teaching materials (e.g. lecture notes, course books, video transcripts).

Objectives:

  • Overview of the text analytic platform, called Quantext
  • Demonstration of the software using common teacher workflows
  • Opportunity for hands-on practice
  • Group discussion, sharing insights gained, reflection on application in own courses/ institutions
  • Potential to explore data over time and across cohorts to inform course design

Facilitator:
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Dr Jenny McDonald

Director Quantext and Honorary Academic at the Centre for Learning and Research (CLeaR)
The University of Auckland

Workshops B

11:30 am - 1:30 pm How to Develop a Framework Linking Learning Analytics Design and Analysis across the Digital and Physical Landscape

Dr Hassan Khosravi - Senior Lecturer in Learning Analytics, The University of Queensland
There is a disconnection between data collection and analysis across academic and administrative units within educational intuitions making it a challenge to incorporate diverse data into curriculum design.

Course designs with informed data from diverse units will encourage more effective and holistic change, especially in the goals of improving student retention, experience and success. However effectively using that data to inform curricular designs presents an enormous challenge and curricular change initiatives are rare successful.

It’s time to make build this bridge between the analytics space and the course/curriculum design environments, by understanding the best framework and approaches for implementation. This workshop will focus on improving our understanding of academic analytics, design theory and principles of institutional change required to achieve student learning and performance.

Objectives:

  • Understanding the relationship and elements between course design and student retention and success
  • How to select and implement a purposefully built analysis tool that permits this exploration of data relevant to the course design
  • Explore how to analyze data across units for integration into the traditional course/ curricular design
  • Crash Course: Have a go at analyzing data and designing a course on the day!

Facilitator:
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Dr Hassan Khosravi

Senior Lecturer in Learning Analytics
The University of Queensland

Workshops C

2:30 pm - 4:30 pm How to Co-Create Analytics with Students, Teachers and the Experts using 5 Practical Principles

Mollie Dollingher - PHD Candidate, University of Melbourne
There are three stakeholders in the future of learning analytics: learning analytics experts, teachers and students. However, while innovations are quickly growing within the group of learning analytics experts, there are ongoing challenges to translate research ideas into real action.

Without support from teachers and students many learning analytics initiatives are likely to be left behind and discarded. To ensure this does not happen, we need collaborative design processes, such as co-creation, to actively involve teachers and students and ensure that learning analytics meets the needs of its users.

This workshop will outline practical principles that can be used by learning analytics experts, university administrators, and those new to learning analytics to understand how learning analytics interventions and platforms can be supportive of co-creation across stakeholders. From this workshop, participants will be able to design and analyse interventions across the principles and help their institution improve future efforts.

Objectives:

  • How to create interventions that include teachers and students in meaningful ways
  • Understanding five key principles of cocreation design
  • Interactive case studies that give participants examples to identify how to improve design and implementation processes
  • Fostering stakeholder buy-in, what issues need to be addressed and what can we do?

Facilitator:
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Mollie Dollingher

PHD Candidate
University of Melbourne

Workshops D

5:00 pm - 7:00 pm How to Begin Building Learning Analytics Framework For The Experimentation of Ideas

Timothy Scott - Learning Analytics Manager, TAFE Digital
“We are completely data-driven” as most educators would claim.

In recent years, educational sectors have witnessed an increase in data-driven decision making. Data-decision making refers to the systemic collection, analysis of data, including its input, process, outcome and satisfaction of data to guide various decisions to improve the successes and retention of students.

Before any decisions can be made teachers, administrators and principals must first understand how to make sense of the data.

In his workshop, Tim Scott will explore how we can build a solid backbone in our framework that will allow experimentation of ideas. He will establish the mindset and goals required before we implement the framework, the technology, the data analysis, infrastructure and the steps to engage our end-users.

Objectives:

  • Exploring the foundations required before we can start experimenting with our LA ideas: Learn the steps and how you can implement them
  • How to align all the elements together to increase end-user engagement
  • Step-by-step guide utilize the right digital platforms to make sense of data and how you can translate it into course
  • Explore the creation of teachers and support staff plans supporting interventions with individuals and groups

Facilitator:
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Timothy Scott

Learning Analytics Manager
TAFE Digital