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Valid and clear! Towards maximising impact of learning analytics with Prof...

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The University of Queensland

Building 63

Room 360

Saint Lucia, QLD 4072

Australia

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About the event

This ITaLI Masterclass event is included as part of the ALASI 2017 Conference, and is open to all UQ staff.

The analysis of data collected from user interactions with educational and information technology has attracted much attention as a promising approach for advancing our understanding of the learning process. After the early formation, the field has now entered the next phase of maturation with a growing community who has an evident impact on research, practice, policy, and decision-making. However, learning analytics needs to address emerging challenges to maximize its impact.

This talk will explore two critical challenges: validity of data collection and analysis and stakeholder interaction with results of analytics.

Join us to discuss promising directions for learning analytics to tackle the challenges by grounding its future work around three cornerstones – theory, design, and data science. The challenges and directions will be examined by building on the findings of several research studies and implementation cases from different parts of the world.

About the Presenter

Dragan Gasevic is a Professor and the Chair in Learning Analytics and Informatics in the Moray House School of Education and the School of Informatics at theUniversity of Edinburgh since February 2015. Before the current post, he was the Canada Research Chair in Semantic and Learning Technologies and a Professor in the School of Computing and Information Systems at Athabasca University since 2007. He is a co-founder and served the President (2015-2017) of the Society for Learning Analytics Research. He holds several honorary appointements including an Adjunct Professor in the School of Interactive Arts and Technology atSimon Fraser University, Adjunct Professor in the School of Education at the University of South Australia, a Research Scientist in the LINK Research Lab at the University of Texas, Arlington, Adjunct Professor in the Centre for Distance Education at Athabasca University, and a Distinguished Professor in the Institute for Research in Open and Innovative Education at the Open University of Hong Kong.

A computer scientist by training and skills, Dragan considers himself a learning analyst developing computational methods that can shape next-generation learningtechnologies and advance our understanding of information seeking, sense-making, and self-regulated and social learning. Funded by granting agencies and industry in Australia, Canada, Europe, and USA, Dragan is a recipient of several best paper awards at the major international conferences in learning and software technology.


Date and Time

Location

The University of Queensland

Building 63

Room 360

Saint Lucia, QLD 4072

Australia

View Map

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