analyse.kmi open.ac.uk

OU Analyse Knowledge Media Institute The Open University

OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing. A list of such students is communicated weekly to the module and Student Support Teams to help them consider appropriate support. The overall objective is to significantly improve the retention of OU students. Demographic and VLE data. In Spring 2014 the project was piloted and evaluated on two introductory university courses with about 1500 and 300 students, respectively. Since Oc.

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LINKS TO ANALYSE.KMI.OPEN.AC.UK

Knowledge Media Institute The Open University

We lead in a number of areas, including Semantic Technologies, Educational Media, Social Media Analysis, Big Data, Smart Cities, IoT and others. I am the graphic designer for KMi, I maintain the general graphical elements for KMi along with the overall look and feel of the Lab. I also provide the graphics for KMi projects, these can range. Read more about Harriett Cornish. Read more about Kevin Quick.

Open Thoughts Blogging the world of learning technologies, open source, open data

Blogging the world of learning technologies, open source, open data. A vendor view of Learning Technologies 2017. Algorithms and echo chambers in the world of learning. There has been lots in the news this past year about social media bias. Maybe you even give away valuable data via an innocuous-looking Facebook quiz.

Digital Innovation Workshop - The Open University

Visual minutes from the Leadership in Digital Innovation workshop. The Students First Strategy has been created by the Vice-Chancellor and VCE following the submission of the Students First paper in the summer and the consultation with staff. The strategy is now seeking wider input from staff.

Data Science Group

The most obvious way in. Data in Arts, Arts in Data.

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OU Analyse Knowledge Media Institute The Open University

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OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing. A list of such students is communicated weekly to the module and Student Support Teams to help them consider appropriate support. The overall objective is to significantly improve the retention of OU students. Demographic and VLE data. In Spring 2014 the project was piloted and evaluated on two introductory university courses with about 1500 and 300 students, respectively. Since Oc.

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The website states the following, "OU Analyse is a project piloting machine-learning based methods for early identification of students at risk of failing." I analyzed that the web site said " A list of such students is communicated weekly to the module and Student Support Teams to help them consider appropriate support." They also stated " The overall objective is to significantly improve the retention of OU students. In Spring 2014 the project was piloted and evaluated on two introductory university courses with about 1500 and 300 students, respectively."

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