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SUMMARY:Digital Capabilities Program Launch
DESCRIPTION:The Digital Capabilities Program is part of UniSA’s Centre for Change and Complexity’s newly launched Data Science Hub\, and integrates the academic & industry expertise with an outstanding consortium of partners including UniSA\, Practera\, SA SME’s Comunet & Rehabswift\, AWS\, tech recruiter Modis and the CSIRO/Data61. \nPlease enable JavaScript in your browser to complete this form.First Name *Last NameEmail *Message *Send Message  \n 
URL:https://datasciencehub.c3l.ai/event/dca-event/
LOCATION:Adelaide\, Australia + Online\, Adelaide\, Australia
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ORGANIZER;CN="Data%20Science%20Hub":MAILTO:datasciencehub@c3l.ai
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DTSTART;TZID=Australia/Adelaide:20220921T073000
DTEND;TZID=Australia/Adelaide:20220921T083000
DTSTAMP:20260403T205638
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UID:2796-1663745400-1663749000@datasciencehub.c3l.ai
SUMMARY:Learner Profiles: the missing piece in learning innovation
DESCRIPTION:Register: Eventbrite \nAs individuals move through life\, learning is now a constant need. Traditionally\, learning has been captured in the form of grades and transcripts. Continual life long learning\, however\, requires different mechanisms for communicating capabilities\, mindsets\, and competencies. Learner profiles have been explored from various lenses and a clear\, generally accepted\, framework does not yet exist. Attempts at learner modelling\, learner records\, and learning graphs indicate a growing awareness of the need to develop a persistent profile of what a learner has learned. \nAs individuals move between various stages of life – from K-12 to higher education\, higher education to industry\, and industry to reskilling – a learner profile would enable personalised learning and a record that accounts for what is learned outside of classrooms and formal education. For educators\, learner profiles improve time to competence and ensure granular assessment. For state and national agencies\, profiles provide a more nuanced assessment of learning gains within a system than current standard country-level comparisons. For learners\, profiles improve quality of instruction\, less time wasted on things already mastered\, and greater recognition of learning that isn’t confined to classrooms. For researchers\, profiles enable a deeper understanding of how learners learn\, where interventions are most impactful\, and ways to adjust and improve pedagogy and learning design. \nThis webinar will explore the history of learner profiles\, detail actual work being conducted\, and set the stage for future innovations and longer term systemic impact. \nDate: Wednesday 21 September 2022\, 8am – 9am (AEST) \nModerator: George Siemens\, Professor University of Texas at Arlington\, University of South Australia \nPanel: Vitomir Kovanovic (University of South Australia)\, Judy Kay (University of Sydney)\, Hassan Khosravi (University of Queensland)\, and Maria Langworthy (Microsoft) \nRegister: Eventbrite
URL:https://datasciencehub.c3l.ai/event/learner-profiles-the-missing-piece-in-learning-innovation/
LOCATION:Online
CATEGORIES:Partner Events
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DTSTART;TZID=Australia/Adelaide:20220907T063000
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UID:2782-1662532200-1662535800@datasciencehub.c3l.ai
SUMMARY:A Career in Learning Analytics: An Overview of Opportunities and Directions
DESCRIPTION:A cluster of related fields – educational data mining\, AI in education\, learning analytics\, and learning sciences – are increasingly represented in university programs. These learning experiences – open online courses\, certificates\, and more recently\, masters programs – prepare learners for a world where digitization\, data\, and analytics shape research and teaching and learning in schools and universities. For those considering entering this field\, questions readily arise regarding opportunities around employment: what does a learning analyst do all day? Who is hiring learning analytics graduates? What does a career path in learning analytics look like? This webinar will bring together graduates of LA programs and academics who have developed and are running masters courses and programs in learning analytics. \nThe panelists include: \n\nSunmin Lee\, M.S. – Senior Consultant at Deloitte\nEddie Lin\, Ph.D. – Data Scientist\, Learning Analytics at Meta\nLiz Owen\, Ph.D. – Founder / Chief Data Scientist at Learning Data Discovery\n\nOrganizers: Justin T. Dellinger & George Siemens\, University of Texas at Arlington/University of South Australia; Ryan Baker\, University of Pennsylvania \nTarget Audience: Anyone who is interested \nTarget Level: Introductory \nDelivery Date/Time: September 7\, 2022 (5pm US EDT) \nRegistration: https://www.eventbrite.com/e/378450534737
URL:https://datasciencehub.c3l.ai/event/a-career-in-learning-analytics-an-overview-of-opportunities-and-directions/
LOCATION:Online
CATEGORIES:Partner Events
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