
VTRIP
3 Projects, page 1 of 1
assignment_turned_in Project2010 - 2013Partners:MLS MULTIMEDIA AE, VIA SSII, NME, Thalgo (France), USP +26 partnersMLS MULTIMEDIA AE,VIA SSII,NME,Thalgo (France),USP,Wind (Italy),LINAGORA GSO,CONSEL,EBM-WS,OW2,ΕΛΚΕ- ΠΙ,University of Ioannina,CONSEL,EBM-WS,VIA SSII,University of Ioannina,OW2,NME,VTRIP,INRIA,VTRIP,WIND,City, University of London,CEFRIEL,University of L'Aquila,CNR,MLS MULTIMEDIA AE,CEFRIEL,LINAGORA GSO,City, University of London,Thalgo (France)Funder: European Commission Project Code: 257178All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::189a0e348f18578504b5d0184a1aa986&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::189a0e348f18578504b5d0184a1aa986&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euassignment_turned_in Project2010 - 2014Partners:LETI, VTRIP, FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS, SAGEM DEFENSE SECURITE, SAGEM DEFENSE SECURITE +2 partnersLETI,VTRIP,FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS,SAGEM DEFENSE SECURITE,SAGEM DEFENSE SECURITE,VTRIP,FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLASFunder: European Commission Project Code: 251605All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::45871c8fdc1d8689c3cacad9341c40bd&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_______::45871c8fdc1d8689c3cacad9341c40bd&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.euassignment_turned_in ProjectPartners:University of Glasgow, VTRIP, HT2 Limited, Udens College, Udens College +2 partnersUniversity of Glasgow,VTRIP,HT2 Limited,Udens College,Udens College,VTRIP,Lycée Emile CombesFunder: European Commission Project Code: 2016-1-UK01-KA201-024631Funder Contribution: 429,496 EURMassive Open Online Courses (MOOCs) have spurred considerable interest, with several researchers from the fields of education and ICT working actively on producing high quality products and a highly improved learning experience for students of these courses. Yet, a pedagogy and set of learning outcomes designed for students in one setting (e.g., country, level, subject), are often not appropriate for students in different settings, mainly due to differences in culture, language and terminology and educational backgrounds. Moreover, even for students sharing the above characteristics, differences in their personal learning styles, strengths and weaknesses, mean static MOOCs can never attain the same level of rapport with the student as a teacher.To this end, PRIMES will deliver: (a) a platform allowing for automatic multi-level personalisation of MOOCs, and (b) a first set of courses provided as a proof-of-concept. For every student registered with PRIMES, a detailed educational and social profile will be created, encoding the students’ educational background, academic interests, and possible future aspirations, along with their attainment in several courses and grasp of threshold concepts. Course material in PRIMES will be available in several languages (through subtitling and/or dubbing) and formats (e.g., video, audio-only, braille, etc.). Each course and lecture will be annotated, to allow for selective extraction of self-contained excerpts of sessions/lectures with specific (language, theme, level, difficulty, etc.) characteristics. PRIMES will then employ novel machine learning and recommendation algorithms, taking into account the individual student profiles and the courses/sessions on offer, to produce personalised recommendations to further each student’s progress and attainment; our platform will be able to extract and recommend, for each subject and intended learning outcome, parts of lectures and/or courses, along with matching (formative and/or summative) assessment tasks, matching the current level of attainment of each student, while covering the areas where the student faced difficulties in grasping or applying the corresponding knowledge, methods and techniques.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=erasmusplus_::f190f5a9a65669ffce7a69f9c1681249&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=erasmusplus_::f190f5a9a65669ffce7a69f9c1681249&type=result"></script>'); --> </script>For further information contact us at helpdesk@openaire.eu