What does your digital footprint say about you? (Machine Learning to understand Human Learning)
Giora Alexandron Weizmann Institute of Science
Join us for the next openAIED Special Interest Group meeting on Wednesday 25th May, 13.30-15.00 British Summer Time, for a presentation from Giora Alexandron. Chaired by Carmel Kent.
For an invite please contact openTEL@open.ac.uk
Abstract and Bio
Presenter: Giora Alexandron
Title: What does your digital footprint say about you?
(Machine Learning to understand Human Learning)
Abstract: The high-resolution learner activity data that modern online learning environments collect provide a unique opportunity to study the behavior of online learners and to develop tools and mechanisms for personalized teaching and learning. Applications include adaptive learning algorithms that provide timely feedback and recommend activities to individual students, teacher dashboards that provide actionable insights to teachers, early warning systems that identify students at risk, and more. My research centers on these directions in MOOCs and K12 blended learning environments. In the talk, I will present results Continue reading →
The second Connected Higher Education in Crisis contexts series, will be taking place online on Wednesday 6th April 2022, from 14:00 to 15:00 British Summer Time. These events are held by the Open University UK in collaboration with the Connected Learning in Crisis Consortium and UNHCR, the UN Refugee Agency.
Presentations and Panel Discussion: Supporting Educators of refugees
Presentation 1: Teaching and learning with EdTech for refugee young people Joel Mitchell (EdTech Hub, Jigsaw Consult), Rozina Zazai (Jigsaw), Katrina Barnes (Jigsaw), Amy Ashlee (REUK), Giulia Clericetti (REUK)
In the early stages of the Covid-19 pandemic, the EdTech Hub commissioned a rapid evidence review (RER) on educational technology in refugee contexts in low- and middle-income contexts. The RER aimed to synthesise key learnings from the available literature to support and inform educational responses during COVID-19. The authors, alongside one of Jigsaw’s Research Assistants based in Pakistan, will present key findings from and evidence gaps identified by this RER. They will focus on one of the RER’s key themes: supporting educators of refugees. They will then present findings from recent research on teaching and learning for refugee girls and young women in Pakistan during COVID-19. This recent research builds on evidence gaps identified by the RER and sheds light on teachers’ and educators’ interactions with EdTech during Covid-19-related school closures in refugee contexts. Continue reading →
Join us for the launch of this new webinar series in collaboration with the Connected Learning in Crisis Consortium and UNHCR, the UN Refugee Agency. Presentations by UNESCO Institute for Lifelong Learning (UIL), Jian Xi Teng and Marie Macauley.
Presentation: A landscape review of innovative technology in literacy and education for refugees, migrants and internally displaced persons, Jian Xi Teng
While information and communication technologies (ICTs), from radio to computers, have long been used in education, there is limited evidence of how effective they are in literacy and education programmes for refugees, migrants and internally displaced persons (IDPs). The presentation will present the findings from UIL’s forthcoming report that examines the global landscape through a combination of a literature review and analysis of 25 programmes from around the world that have used ICT innovatively in literacy and education for refugees, migrants and IDPs. It responds to the following three questions: Continue reading →
Join us online for two presentations on Citizen Science from Jess Carr, Christothea Herodotou and Ian Kenny. Please contact openTEL for an invite.
Abstracts and Biographies
Presentation 1: Taking down the ‘elite’ – an inclusive and creative approach to citizen science, Jess Carr
Abstract All too often, sectors of society are marginalised based on the false beliefs that they are ‘hard to reach’. A term found in funder’s briefs, literature and used widely within the research community, it suggests that the fault for lack of engagement is due to the community’s ability to be reached. Yet, as our society begins to question inequalities, and fight back against them, the research community needs to ask whether it’s doing enough to remove this elitist and damaging concept.
In this presentation, I will discuss my PhD project entitled: ‘Can an inclusive approach meaningfully engage people with learning disabilities? Exploring capacity building for citizen science.’. In this project I worked with a local self-advocacy group Continue reading →
openAIED Special Interest Group
Tuesday 15th March 14:00-15:30 (GMT) Link to Recording
OpenAIED SIG meeting: Safe(r) Artificial Intelligence & Learning Analytic in real-world applications
As Learning Analytics (LA) and Artificial Intelligence in Education (AIED) mature, the discourse about making them safer and pro-educational stakeholders becomes central to these systems’ design. In this OpenAIED SIG meeting, we will host two talks given by AIED researchers on different ethical aspects of the design of AI & LA systems. We will also have the opportunity to hold a discussion around both.
We will begin with a talk given by Thea Herodotou, Anna Gillespie and Irina Rets about ‘Ethics in learning analytics: The case of the Early Alert Indicators dashboard’ and continue with a talk by Ali Chaudhry, who will tell us about the work he has been doing as part of his PhD on the topic of transparency of AI systems.
For an invite please contact openTEL. Everyone is welcome.
Abstracts and Bios:
Presentation 1: Transparency in Artificial Intelligence: Why it matters and How do we ensure it. Ali Chaudhry
Abstract In this talk Ali will present his research on Transparency in AI powered products, why is it important and how it can lead to safer AI systems in real-world. He will also share some case studies on AI mishaps in real-world and what can we learn from them.
Ali is a doctoral researcher in Artificial Intelligence (AI) at UCL Institute of Education (IOE). His research focuses on the Transparency of machine learning development pipelines for AI-powered ed-tech products in different real-world contexts. Continue reading →