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X-WR-CALDESC:Events for OpenTEL
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DTSTART;TZID=Europe/London:20210707T080000
DTEND;TZID=Europe/London:20210707T170000
DTSTAMP:20260421T064419
CREATED:20210629T085539Z
LAST-MODIFIED:20210721T113112Z
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SUMMARY:openAIED SIG: Uncovering social biases in online learning: insights from bias-detection approaches applied to the OU
DESCRIPTION:Uncovering social biases in online learning: insights from bias-detection approaches applied to the OU \nJosmario Albuquerque \n  \n  \nAbstract\nOnline 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. \nBio\nJosmario 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. \n  \n  \n  \n 
URL:https://www.open.ac.uk/blogs/opentel/event/openaied-sig-2/
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DTSTART;TZID=Europe/London:20210721T110000
DTEND;TZID=Europe/London:20210721T123000
DTSTAMP:20260421T064419
CREATED:20210629T085454Z
LAST-MODIFIED:20210629T085454Z
UID:2548-1626865200-1626870600@www.open.ac.uk
SUMMARY:openTEL Completed Projects Seminar
DESCRIPTION:ADMINS: Designing and evaluating a virtual assistant for disability disclosure and study support conversations\nDr Tim Coughlan
URL:https://www.open.ac.uk/blogs/opentel/event/opentel-completed-projects-seminar/
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