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Agenda Day 1

8:00 AM - 8:20 AM COFFEE & REGISTRATION

8:20 AM - 8:30 AM Conference Opening – Remarks from the Conference Chairperson

Learning analytics is extremely topical with almost all educational institutions looking into or within early phases of this sphere. With a vast multitude of access points, the amount of data available is more than ever before. This panel will look into the following themes:

  • How one size does not fit all in learning analytics as learning context and instructional conditions shape learning analytics results
  • The need to have multidisciplinary teams in institutions to understand and act on the complexity of the analytics
Developing capabilities of educators, researchers and policymakers to exploit the data into meaningful insights

Dragan Gasevic

Professor and Chair in Learning Analytics and Informatics
The University of Edinburgh

Cassandra Colvin

Manager of Learning Analytics
University of South Australia

Kevin Bell

Pro Vice Chancellor (Digital Futures)
Western Sydney University

Gregor Kennedy

Pro Vice Chancellor (Educational Innovation)
University of Melbourne

9:10 AM - 9:50 AM Transforming Pedagogy For Student Engagement and Success: A ‘Theory of Change’ Perspective

Philippa Levy, Pro Vice Chancellor Student Learning, University of Adelaide
Strengthening engagement is a goal of many educational quality enhancement and innovation initiatives in institutions across the global higher education sector. At the same time, and as part of this effort, institutions are seeking to leverage digital technologies to better meet student expectations and needs, and to enrich learning experiences. This session will offer a case study example based on the University of Adelaide’s current initiative to support pedagogical transformation for student engagement and success through a number of linked projects. In particular, it will focus on the ‘MyUni Transform’ project which is using institutional transition to a new LMS as the opportunity to support uplift in blended learning design and related educational practice, across the institution as a whole. It will draw on ongoing impact evaluation of this change initiative, adopting a ‘theory of change’ evaluative framework, and illustrate its connectivity with other projects including capacity-development in learning analytics.

  • Challenges and practical strategies for institution-level educational change
  • Developing educators’ capabilities for digital learning and teaching
  • Supporting evidence-based educational design and interventions with learning analytics
Evaluating educational change initiatives to better understand change facilitation

Philippa Levy

Pro Vice Chancellor Student Learning
University of Adelaide

9:50 AM - 10:20 AM Speed Networking

10:20 AM - 11:00 AM MORNING TEA

11:00 AM - 11:40 AM CASE STUDY: How the University of Edinburgh has Utilised Learning Analytics to Understand Student Behaviour and Cognitive Processes

Dragan Gasevic , Professor and Chair in Learning Analytics and Informatics, The University of Edinburgh
Dragan Gasevic is a Professor and Chair in Learning Analytics and Informatics at the University of Edinburgh and the current president and a co-founder of the Society for Learning Analytics Research (SoLAR). Dragan is considered a learning and information scientist developing computational methods that can shape nextgeneration learning and software technologies and advance our understanding of information seeking, sense-making, and self-regulated and social learning.

  • Working with 65 organisations across Europe to assist with institutional data collection and creation of policies and frameworks
  • Findings, results and experiences from UK University case studies
  • Understanding of learning, social processes and sense making tools based on research from real settings
Partnering with corporations and the influence of MOOC’s

Dragan Gasevic

Professor and Chair in Learning Analytics and Informatics
The University of Edinburgh

11:40 AM - 12:20 PM Using Analytics to Improve Syllabus Design and Attract Course Funding

Fernando Padro, Acting Director, Learning and Teaching Services, University of Southern Queensland
At the University of Southern Queensland the focus is on analytics at a more modest level. It centres on how to use a combination of institutional research frameworks with an analytical framework to impact on student performance. As well as this, there is an evaluative perspective in which data is used to demonstrate to the public at large to show what the program has done to benefit students.

  • How to use analytics to impact student learning and receive course funding
  • Evaluating data analytics in regards to regulatory compliance and university planning
Creating a learning analytics mindset, communicating the vision and translating into insights

Fernando Padro

Acting Director, Learning and Teaching Services
University of Southern Queensland

12:20 PM - 1:00 PM Bursting the Bubble of Learning Analytics

Gregor Kennedy, Pro Vice Chancellor (Educational Innovation), University of Melbourne
The University of Melbourne have undergone great studies into identifying their institutional pain points and how to leverage learning analytics and technology to support student learning and teaching practice. In particular, Gregor will delve into how to use learning analytics data to provide timely individualized feedback to students, and to return meaningful data to teachers to inform curriculum review.

  • Learning analytics is not a simple solution: discussing the barriers and facilitators for the process to work
  • Going past the hype of learning analytics to address exactly how it can be used for your institutions unique goals and strategic vision
How learning analytics can help teachers and the lessons they have learn and how this can impact on their actions in the classroom setting

Gregor Kennedy

Pro Vice Chancellor (Educational Innovation)
University of Melbourne

1:00 PM - 2:00 PM LUNCH BREAK

2:00 PM - 2:40 PM Streamlining Back End Data Access Points to Achieve Standardized Reporting and Meaningful Insights

Lyn Alderman, Associate Director, Academic Quality & Standards, Queensland University of Technology
Queensland University of Technology has employed learning analytics primarily to achieve standardized reporting. Within 69 systems feeding into one area, Lyn will discuss how to harvest this data to answer specific institutional questions. Having Applied a performance framework early on, they can identify courses they think are at risk and offer support services e.g. curriculum review.

  • Using data to start conversations with key stakeholders about curriculum design to attract course funding
  • Developing a shared understanding through analytics what courses to stop, revise or expand
Marrying together quality assurance and evaluation: using LA to support decision making

Lyn Alderman

Associate Director, Academic Quality & Standards
Queensland University of Technology
It is incumbent that institutions using learning analytics have very strong and well enforced policies about student privacy and use of student data. The problem then though is that it can easily lead to instructors being denied access to the very data which is of most value in identifying student learning difficulties and possible solutions – thus there is a need to strike the right balance.

  • What ethical requirements do researchers and institutions have for protecting student data
  • Transparency and communication with stakeholders in regards to what data is collected and what it is used for
  • What is the institutional obligation to inform students once the institution ‘knows’ something about their performance
How does learning analytics avoid being creepy or Orwellian

William Yeoh

Director, IBM Centre of Excellence in Business Analytics
Deakin University

Danny Liu

Senior Lecturer / Educational Innovation team in the DVC for Education
University of Sydney

Simon Buckingham Shum

Professor of Learning Informatics & Director of the Connected Intelligence Centre
University of Technology Sydney

3:20 PM - 4:00 PM AFTERNOON TEA

4:00 PM - 4:40 PM Examining Online Mastery Learning through Two-phase Learning Analytics

William Yeoh, Director, IBM Centre of Excellence in Business Analytics, Deakin University
William will present a case study based on the recently conducted learning analytics research study at Deakin University. Using a large data set acquired from a postgraduate finance course offered at an Australian university, this research explores the students’ online quiz completion patterns and the impact of instructional time constraint on online mastery learning.

  • Applying an innovative two-phase learning analytics approach
  • Utilising self-Organising Maps (a neural network-based cluster analysis technique) to explore and visualise students’ online quiz completion patterns and its association with their final examination performance
  • Using the non-parametric statistical approach and multiple regression analysis to investigate the effect of periodic due dates on online quizzes and its correlation with students’ final examination performance
Understanding how time control plays a critical role within the online mastery learning

William Yeoh

Director, IBM Centre of Excellence in Business Analytics
Deakin University

4:40 PM - 5:20 PM Empowering Instructors Through Customizable Collection and Analyses of Data Insights

Danny Liu, Senior Lecturer / Educational Innovation team in the DVC for Education, University of Sydney
With this learning analytics approach, the emphasis is on teachers and their interactions with students. It focuses on how teachers can use data that are meaningful in their contexts to enhance and personalize interactions. This approach relies on using data that teachers have available to them to establish an environment that allows for feedback, support, and helps students feel valued and engaged.
Empowering and personalising instructorstudent interactions with student data using the Student Relationship Engagement System
Providing personalised support for large student cohorts
Putting teachers in control of actionable learning analytics
Bottom-up growth of learning analytics

Danny Liu

Senior Lecturer / Educational Innovation team in the DVC for Education
University of Sydney

5:20 PM - 5:30 PM Conference Closing – Remarks from the Conference Chairperson

5:30 PM - 6:30 PM NETWORKING DRINKS