UCISA Women in Technology in Liverpool WiT25 – UCISA
Pink WiT
At WiT Katie and I spoke about what works in our efforts to establish career paths for women into some of the areas of technology where they are currently under-represented. We presented a number of case studies from the last 10 years of LTW internships and trailed the research work which will be going on this summer to track the career paths and destinations of so many intern alumni over time. We were un-phased by the fact that the conference organisers had failed to upload our slides sent in advance and so we had to just wing it for while.
At Echo I enjoyed a very glamorous evening of castle, caves, culture and canards about sagittarians and luddites before proving that I would say boo to a goose.
This project asks: ‘How can University teaching teams develop critical and participatory approaches to educational data analysis?’ It seeks to develop ways of involving students as research partners and active participants in their own data collection and analysis, as well as foster critical understanding of the use of computational analysis in education.
The ‘Learning Analytics Report Card’ captures data from an individual student’s course-related activity, and presents a summary of their academic progress in textual and visual form. However, rather than manifesting through hidden and inaccessible institutional data aggregation and analysis, the LARC offers students an opportunity to play with their data; to choose what is included or excluded, when the report is generated, and how it might be presented.
Rather than simply empowering the individual, this process reveals the functioning of the algorithms that increasingly underpin and govern educational decision-making. A pilot LARC will be developed for the MSc in Digital Education programme at the University of Edinburgh, with a view to producing a packaged system that might be used in other online provision.
The first draft of the Learning Analytics Report Card interface is now complete, and is ready for testing with Moodle data and the phase 1 analytics. The interface is behind the EASE login, which will restrict access to the identified pilot students, as well as facilitate login information for the data capture from Moodle. At present, the options available to students reflect the 5 categories of analytics constituting the fist phase of development: Attendance, Social Interaction, Engagement, Performance, Personal.
If you want to know more, contact Jeremy in the project team.
