- Posted on : 20 June 2017
- by Jacqueline Cawston
Enhancing the digital capabilities of educators is just as important as expanding the digital literacy of students. Learning how to use social media for practitioner-based learning and educationally relevant activities means that today’s educator will experience an always-moving digital learning curve.
Universities already collect vast amounts of data about their student populations, but often this is underutilised. The current ‘state of the science’ of learning analytics means that substantial benefits could already be realised through effective implementation of appropriate technology and techniques. Learning analytics has the potential enable institutions and individuals to better understand and anticipate personal learning needs and performance. Realising this potential requires an understanding of the strengths and challenges associated with the technology and of the interplay between professional practice and technology
This presentation will provide an overview of HEFCE’s learning gain programme including details of the pilot projects involved and the National Mixed Methodology Learning Gain Project. As part of HEFCE’s commitment to supporting excellence and innovation in learning and teaching, the programme of work focuses on developing and testing new ways of capturing educational outcomes and analysing how students benefit from higher education.
The advent of e-Learning has prompted the development of web-based learning systems, recognising there is no fixed learning pathway that will be appropriate for all learners. However, most learning platforms with personalised learning sequencing rely on a learner’s preferences. However if we want students to be able to learn to make reliable judgements about their learning and to identify any further support they require to meet their learning goals, then personalised automatic feedback should play an important role. This presentation explores the role that technology enhanced feedback can play in the pursuit of a personalised learning agenda.
The Faculty of Mathematics and Science at the University of Bergen is working towards digitizing all final exams by the end of 2017. While this goal can be met by using multiple choice assessment tests, digital assessment technology opens up for a diversity of assessment forms that can strengthen the alignment between teaching and assessment as well as train students’ capabilities in using digital tools for math and science. This talk presents some of the experiences from the Faculty’s work on implementing digital assessment technology and rethinking assessment forms to improve students’ learning outcomes.
How we set up a Disruptive Media Learning Lab, generated income of £6 million, created two new research centres and how we were allowed to experiment and succeed (and fail!)
Founded with a mandate to deliver fully-online postgraduate-level programmes, and some ambitious targets to meet, King’s Online has also embraced another objective: to build a team capable of delivering extensive innovation within these strict production deadlines. Eighteen months on, we explore the successes (and lessons learnt) of this approach, and what comes next.
Distance learning experts in an international Framework will discuss their challenges and opportunities to help attendees to develop and find a position regarding the variety of technological developments for digital teaching and learning programs in the field of distance learning.
Increasing demand for higher quality education and rising participation rates in source countries have accelerated TNE growth in recent years and distance learning or online provision as a form of TNE is becoming popular for UK universities. The largest providers are University of London International Programmes, The Open University and the University of Liverpool.
Powerful technology trends have converged to fundamentally shift the playing field in most industries. Understand how Google is helping solve the worlds biggest challenges and how students, researchers and education can use Google’s capabilities in big data, compute, analytics and machine learning to build what is next.
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