首页|New Findings from University of Melbourne Describe Advances in Artificial Intell igence (Dusting for fingerprints: Tracking online student engagement)
New Findings from University of Melbourne Describe Advances in Artificial Intell igence (Dusting for fingerprints: Tracking online student engagement)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting originating from Melbourne, A ustralia, by NewsRx correspondents, research stated, “Hybrid learning strategies blend face-to-face instruction with online components, using Learning Managemen t Systems (LMSs) as key platforms for educational resources.” Our news correspondents obtained a quote from the research from University of Me lbourne: “In strategies like the flipped classroom, students need to follow a sp ecific learning pathway to complete certain activities in the LMS before class. This includes watching videos and completing readings and quizzes, to prepare fo r hands-on exercises during classroom time. Consistent student engagement with t his approach is vital for success - but in large subjects with hundreds of enrol ments, monitoring that engagement is a complex task. Using the data collected in an LMS, this paper presents an approach for detecting significant changes in st udent engagement in hybrid learning environments. The approach uses Process Mini ng (PM), a family of tools and techniques to analyze data through a process lens , to compare students’ learning pathways between pairs of learning windows (e.g. , weeks in a semester). Using a real-life event log containing more than 26,000 interactions of 194 students over a full semester, the findings demonstrate the approach’s ability to detect changes in student engagement over time.”
University of MelbourneMelbourneAust raliaAustralia and New ZealandArtificial Intelligence
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