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 →
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 →
The first 2021 seminar of the Special Interest Group focused on Artificial Intelligence in Education (openAIED SIG) was led by Josmario Albuquerque, a second-year PhD student at the OU Institute of Educational Technology, on Wednesday 7th July.
With a background in Computer Science, Josmario has been involved in IT projects related to Artificial Intelligence in Education, Learning Analytics, and the use of Computer Science to address social issues. His current research fits under the scope of these past projects, since he is studying group biases in online learning settings. During the seminar, Josmario suggested that human biases and stereotypesare still present in educational settings, diminishing several aspects of learning. Continue reading →
Join us online for the next openAIED Special Interest Group on Wednesday 7th July at (14:00 – 15:30) for a presentation from Josmario Albuquerque (further details below) and updates from Dr Duygu Bektik and Dr Francisco Iniesto.
Uncovering social biases in online learning: insights from bias-detection approaches applied to the OU Josmario Albuquerque
Abstract Online educational technologies have transformed learning and teaching processes. For instance, researchers have proposed mechanisms to improve both students’ and teachers’ experience, e.g., tools to enhance collaboration, improve student engagement, and help teachers in designing and delivering new learning resources. However, despite the benefits of such technologies, recent findings have showed that issues related to social justice like human biases and stereotypes are still present in educational settings. Researchers have also shown that such issues can diminish several aspects of learning, e.g., academic performance, students’ confidence, and reduce engagement. In this presentation, I aim to highlight what is being used to uncover group biases in learning settings and share preliminary findings of exiting computational approaches applied to the OU VLE. A sample of 2024 sentences sampled from 91 OU modules across several disciplines was extracted and used as the input for two bias-detection algorithms. While potential biases were suggested by those approaches within the modules analysed, the extent to which those biases are relevant for an educational setting is questionable. Those results and the limitations of those mechanisms will be discussed, as well as implications and directions for future research in Artificial Intelligence in Education.
Bio Josmario Albuquerque is currently a second-year research student at the Institute of Educational Technology, Open University. His current research focuses on group bias in online learning settings, where he expects to provide a mechanism to help the identification of racial biases in learning materials. Previously, he has investigated gender stereotypes in educational technologies while completing his master’s degree at the Federal University of Alagoas, Brazil. With a background in Computer Science, he has taken part in a few IT projects that include: developing an authoring tool to help tutors create customised Intelligent Tutoring Systems and improve students’ performance; and designing a video-monitoring learning analytics platform to inform tutors and school managers about the learning processes of bilingual students in a language school. Josmario’s interests include Artificial Intelligence in Education, Learning Analytics, and the general use of Computer Science to address social issues.
All are welcome. Please email openTEL for an invite or feel free to share the invite with those who would like to attend.
The Special Interest Group focused on applying Artificial Intelligence in Education (openAIED SIG) from OpenTEL had its first meeting of the year on Wednesday, May 12th, 2021. The SIG event was led by Dr Duygu Bektik and Dr Francisco Iniesto from the Institute of Educational Technology (IET) at The Open University.
The online session kicked off with a timeline that displayed what the openAIED SIG has done since it was launched by Dr Wayne Holmes and Dr Duygu Bektik in April 2018. The brief history of the SIG includes an animated series of sessions bringing together researchers across the university and beyond who are interested in AIED.
As you can tell, the SIG has welcomed numerous experts involved in a diverse range of topics, including ethics in AIED, e-assessment and learning analytics. They have also run a bidding workshop where researchers have had the opportunity to work together and write a proposal for potential research projects. It is expected that the upcoming sessions of 2021 will follow a similar vibrant timeline to the one presented above. Hence, the purpose of the meeting was to give people an opportunity to engage and decide the future agenda of the openAIED SIG.