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Jobs @ LKL: MiGen Follow on Project Research Assistant Post |
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Latest News
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Friday, 22 February 2013 |
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 LKL is recruiting for a Research Assistant (0.5) to work on the ESRC funded MiGen follow-on project (Intelligent Support for Mathematical Generalisation II). The application deadline is Tuesday 12 March 2013.
More on the project
More on the role
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Jobs @ LKL: Post Doctoral Research Fellow MODE (closed) |
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Latest News
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Thursday, 24 January 2013 |
 The Faculty of Children and Learning is seeking to appoint a Post-doctoral Fellow to assist the work of the MODE project (Multimodal methodologies for researching Digital data and Environments) which is funded by the ESRC via the National Centre for Research Methods (NCRM)
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Read more...
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Jobs @ LKL: Developer, Learning Technologist & MODE Post-Doc (closed) |
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Latest News
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Tuesday, 22 January 2013 |
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In addition to our search for a Lecturer/Senior Lecturer in Learning with Digital Technology, we have three more exciting opportunities to work at the LKL as a developer of a course resource appraisal modelling tool, as a learning technologist at the Learning Technologies Unit, or as a post-doctoral research fellow for MODE. All job applications close in February, read on for details.
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Jobs @ LKL: Lecturer/Senior Lecturer in Learning with Digital Technology (closed) |
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Latest News
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Monday, 07 January 2013 |
 Salary: £37,013 to £52,708 plus £2,323 London Allowance
Job Share considered
Closing Date: Thursday 14 February 2013
Interview Date: Thursday 07 March 2013
Reference: 8AC-CLCCM-5254
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Bloomsbury PhD Scholarship: Multimodal Design and Interaction in Online Language Learning Platforms |
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Study
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Thursday, 20 December 2012 |
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Exploring Communication, Pedagogy and Identity
This project is an innovative ethnographic investigation of
an increasingly important and popular language-learning environment, namely the
online language learning platforms (OLLPs).
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iTalk2Learn project and vacancies |
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Research
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Monday, 10 December 2012 |
 iTalk2Learn is a 3M€ collaborative project funded by the EC 7th Framework Call 8 (FP7-ICT-2011-8) that was launched in November 2010. By the end of its 3-year duration theiTalk2Learn project will have developed a platform to support 5-11 year old students learning mathematics. The platform will combine structured and exploratory learning activities. Relying on state-of-the-art machine learning methods, intelligent components will be able to provide adaptive feedback and recommendations. Last, but not least, the platform will enable learners to communicate and interact more naturally via rich intuitive user interfaces leveraging direct manipulation and voice recognition. It is from the potential of the latter in particular that the project takes its short name iTalk2Learn.
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