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An update

You can find the new CRLI website, including a blog, links to seminar recording and an events listing at

This blog will no longer be updated, thanks for reading and we hope to see you on our new site!

The Concord Consortium (, a nonprofit research and development organization dedicated to transforming STEM education through technology, is looking for a Research Associate specializing in STEM education, design-based research, or classroom-based research in middle and high school classrooms.

The Research Associate will work closely with senior research personnel at the Concord Consortium to coordinate field testing of technologically enhanced, NGSS-aligned curriculum and assessment materials and contribute to research on novel middle and high school curriculum units that integrate modeling, sensor-based laboratories, performance assessments, and programmable software to help students achieve a deeper understanding of core ideas in biological, physical, and Earth sciences. The Research Associate will also be involved in data collection and analysis and support evaluation of teacher preparation and classroom enactments. They’re looking for a team player who is excited to work in a stimulating, technology-rich environment to help make a difference in education. See for more details.

A year ago, a team of designers met in the CoCo Design Studio to discuss ideas about a game to teach 7 to 12 year olds ecologically sustainable habits. From that design meeting, a game has been developed. Researchers at CoCo have followed the design of the game from the early ideas to a fully functioning environmental 'app' called Habitat the Game.

Having played a part in the creation of the game, we are excited to see that the game will be launched by The Wildlife Conservation Society and the Rainforest Alliance on Tuesday the 13th of May.


The Bill and Melinda Gates Foundation is funding a MOOC Research Initiative, managed by Athabasca University. There is currently a call for outline proposals for small research projects (10-25k USD). Further details and suggested topics are at the MRI website

For STL network members - ideas about potential proposals and proposer teams are being formed on the University's Yammer platform in the STL Group space.

Deadline for the two page outline proposals is 7th July.

Post-doctoral fellowship (one or more) in LETStudio at University of Gothenburg

The LETStudio is a strategic initiative for promoting interdisciplinary research within the Learning Sciences at The University of Gothenburg. It addresses issues of knowledge, learning, communication and expertise in contemporary society and the research is conducted through interdisciplinary projects.

Closing date: 17th June 2013

Further info

Hearty Congratulations to:

Mary-Helen Ward - who submitted her PhD last week

Carlos Gonzalez (PhD 2009) - who has just been promoted to Associate Professor at Pontificia Universidad Católica de Chile

American Behavioral Scientist’s upcoming special issue (edited by Caroline Haythornthwaite, Maaren de Laat and Shane Dawson) will feature articles by some of the leading scholars in the field of learning analytics, including one written by Kate Thompson, David Ashe, Lucila Carvalho, Peter Goodyear, Nick Kelly and Martin Parisio. This is an important article for the laureate team, as it brings together work creating an analytical framework to identify and represent key elements of complex learning environments (Carvalho and Goodyear), with the issues involved in collecting and pre-processing large datasets (Ashe and Parisio), such as those generated using the Design Studio, and the methods of collecting, visualizing, and analyzing multiple streams of data (Thompson), using automated and manual learning analytics techniques (Kelly).

Processing and Visualising Data in Complex Learning Environments
Kate Thompson, David Ashe, Lucila Carvalho, Peter Goodyear, Nick Kelly & Martin Parisio

The ability to capture large amounts of data that describe the interactions of learners becomes useful when one has a framework in which to make sense of the processes of learning in complex learning environments. Through the analysis of such data, one is able to understand what is happening in these networks; however, deciding which elements will be of most interest in a specific learning context and how to process, visualize, and analyze large amounts of data requires the use of analytical tools that adequately support the phases of the research process. In this article, we discuss the selection, processing, visualization, and analysis of multiple elements of learning and learning environments and the links between them. We discuss, using the cases of two learning environments, how structure affects the behavior of learners and, in turn, how that behavior has the potential to affect learning. This approach will allow us to suggest possible ways of improving future designs of learning environments.

You can access this article via OnlineFirst

About the Blog

Research by the University's Centre for Research on Learning and Innovation (CRLI).