Scaling up learning analytics
نویسنده
چکیده
The promise of learning analytics is that they will enable us to understand and optimize learning and the environments in which it takes place. The intention is to develop models, algorithms, and processes that can be widely used. In order to do this, we need to move from smallscale research within our disciplines towards large-scale implementation across our institutions. This is a tough challenge, because educational institutions are stable systems, resistant to change. To avoid failure and maximize success, implementation of learning analytics at scale requires careful consideration of the entire TEL technology complex. This complex includes the different groups of people involved, the educational beliefs and practices of those groups, the technologies they use, and the specific environments within which they operate. Providing reliable and trustworthy analytics is just one part of implementing analytics at scale. It is also important to develop a clear strategic vision, assess institutional culture critically, identify potential barriers to adoption, develop approaches that can overcome these, and put in place appropriate forms of support, training, and community building. In her keynote, Rebecca will introduce tools, resources, organisations and case studies that can be used to support the deployment of learning analytics at scale. 1 The Open University, Institute of Educational Technology, Walton Hall, MK7 6AA, Buckinghamshire, United Kingdom, [email protected]
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It's a pleasure to welcome you to Marist College and our scenic and historic Hudson River Valley. Since Marist was a founding member of the Society for Learning Analytics Research (SoLAR), we're delighted to welcome our friends and colleagues from around the world to the 5th International Learning Analytics and Knowledge (LAK) conference. Over the past 36 years, I have been privileged to serve ...
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