KDMOOCs 2014 - Workshop on Knowledge Discovery in MOOCs
Topics/Call fo Papers
Workshop on Knowledge Discovery in MOOCs
http://coceam.myweb.port.ac.uk/KDMOOCs2014/
In conjunction with the 7th International Conference on Educational Data Mining, July 4, 2014 - July 7, 2014, Institute of Education, London, UK
http://www.educationaldatamining.org/EDM2014/
Introduction
The popularity of Massive Open Online Courses (MOOCs) has attracted considerable attention from academic institutions providing the courses, potential students and researchers. The enthusiasm for all the possibilities of this type of online education has, however, been tempered by issues such as of the quality of education provided, the support needed by vast numbers of students and the high drop-out rate. The Educational Data Mining community has an important role to play in the debate about the advantages and disadvantages of MOOCs, as well as in proposing intelligent solutions for addressing various educational aspects. There are many challenges of knowledge discovery in MOOCs, including the vast volume of data and the diversity of users. These challenges, however, bring opportunities to develop new data mining techniques or adapt established knowledge discovery approaches to the requirements of analysing MOOCs data.
Themes
? Statistical analysis of user participation in MOOCs
? Analysis/Summarisation of information from forums
? Student affect detection and "corrective" interventions
? Personalisation, adaptation and user modelling in MOOCs
? Analysis of assessment use and outcomes
? Analysis of user engagement with various course features
? Tutor support, peer collaboration, user/group personalisation
? Other aspects of knowledge discovery in MOOCs
Important dates
? Paper submission: 14 April 2014
? Notification of Acceptance: 12 May 2014
? Camera Ready Papers: 1 June 2014
? Workshop: 4 July 2014 (tbc)
Workshop Chairs
? Mihaela Cocea, University of Portsmouth, UK - mihaela.cocea-AT-port.ac.uk
? Mohamed Medhat Gaber, Robert Gordon University, UK - m.gaber1-AT-rgu.ac.uk
More details at: http://coceam.myweb.port.ac.uk/KDMOOCs2014/
http://coceam.myweb.port.ac.uk/KDMOOCs2014/
In conjunction with the 7th International Conference on Educational Data Mining, July 4, 2014 - July 7, 2014, Institute of Education, London, UK
http://www.educationaldatamining.org/EDM2014/
Introduction
The popularity of Massive Open Online Courses (MOOCs) has attracted considerable attention from academic institutions providing the courses, potential students and researchers. The enthusiasm for all the possibilities of this type of online education has, however, been tempered by issues such as of the quality of education provided, the support needed by vast numbers of students and the high drop-out rate. The Educational Data Mining community has an important role to play in the debate about the advantages and disadvantages of MOOCs, as well as in proposing intelligent solutions for addressing various educational aspects. There are many challenges of knowledge discovery in MOOCs, including the vast volume of data and the diversity of users. These challenges, however, bring opportunities to develop new data mining techniques or adapt established knowledge discovery approaches to the requirements of analysing MOOCs data.
Themes
? Statistical analysis of user participation in MOOCs
? Analysis/Summarisation of information from forums
? Student affect detection and "corrective" interventions
? Personalisation, adaptation and user modelling in MOOCs
? Analysis of assessment use and outcomes
? Analysis of user engagement with various course features
? Tutor support, peer collaboration, user/group personalisation
? Other aspects of knowledge discovery in MOOCs
Important dates
? Paper submission: 14 April 2014
? Notification of Acceptance: 12 May 2014
? Camera Ready Papers: 1 June 2014
? Workshop: 4 July 2014 (tbc)
Workshop Chairs
? Mihaela Cocea, University of Portsmouth, UK - mihaela.cocea-AT-port.ac.uk
? Mohamed Medhat Gaber, Robert Gordon University, UK - m.gaber1-AT-rgu.ac.uk
More details at: http://coceam.myweb.port.ac.uk/KDMOOCs2014/
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Last modified: 2014-03-03 22:19:03