EDSA overview and vision
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The document outlines the vision and overview of the EDSA project, which aims to become the top provider of data science training in Europe and establish a sustainable Data Science Institute. The project follows an end-to-end life-cycle approach informed by real data analysis. It will develop rich open educational resources and provide training through various means like webinars and a summer school. Community engagement will occur through prominent eLearning channels and collaboration with stakeholders.
EDSA overview and vision
- 1. Overview and Vision John Domingue & Elena Simperl edsa-project.eu
- 2. Vision • Become the #1 venue for professional training in data science in Europe • Establish a sustainable European Data Science Institute
- 3. Overview 1. Curricula and courseware – Modular, media-rich, available in several languages – Covering a mix of core, domain-specific, and technology-specific topics – Informed by demand analysis (surveys and data monitoring) 2. Training – Webinar series, video lectures, annual summer school, on demand professional training – Informed by student feedback and learning analytics 3. Community engagement – Highly visible eLearning channels: iTunes U, FutureLearn, videolectures.net – Collaborate with relevant stakeholders to align programs, organize joint training, collect feedback – Informed by social media monitoring
- 5. Initial Version of Module Final Module: eBook & Course Webinar – Final Recording Webinar – First Recording Collection of Module Materials Slides – First Version Slides – Final Version Stakeholder Communities Industrial Advisory Board Demand Analysis Reflection Module Dissemination Online & F2F LearningAnalytics Curricula EDSA Analytics Dashboard Reconfiguring & Repurposing Learners Learning Delivery End to End approach
- 8. TRAINING
- 9. Webinar 9
- 11. Video lectures
- 12. OU iTunes U Stats • Open University on iTunes U was launched on 3rd June 2008 • Now 58 iTunes U Courses • 68,138,000 downloads • Over 9,015,700 visitors downloaded files • Currently averaging 87,500 downloads a week • 449 collections containing 3,485 tracks (1,638 audio, 1,847 video) • 423 OpenLearn study units as eBooks (ePub), representing over 5,000 hours of study • Currently delivering an average of 0.3 TB of data a week
- 14. Channels
- 15. edsa-project.eu
- 18. EDSA Dashboards • Jobs and skills • Interviews • Advisory board • Learning analytics • Available courses
- 24. COLLABORATION
- 25. CSA EuDEco (Modeling the European Data Economy
- 26. U-TAD Spain
- 27. IT as a Utility
- 28. Big Data Value cPPP
- 29. March 2015
- 30. PAGE ‹#› Over 1,000,000 FutureLearn sign-ups Over 2,200,000 course sign-ups PROGRESS SINCE LAUNCH In just over a year, FutureLearn has built a large userbase
- 31. PAGE ‹#› EXCITING PARTNERSHIP NETWORK We are partnering with professional bodies to support recognition of courses
- 32. PAGE ‹#› Co-Branding Courses on FutureLearn
- 33. WP2 Curricula and resource development WP3 Training delivery and learning analytics WP4 Dissemination and community building WP1 Demand analysis and industry advisory board WP5 Exploitation Educational Ecosystem Legacy WP6 Management Coordination
- 34. Summary • Project Goals – Become the #1 venue for professional training in data science in Europe – Establish a sustainable European Data Science Institute • Comprehensive life-cycle with all activities founded on real data • Rich interactive multimedia open educational resources • Training via webinar series, video lectures, annual summer school, on demand professional training • Highly visible eLearning channels for community engagement – iTunes U, FutureLearn, videolectures.net • Many possibilities for fruitful collaboration
Editor's Notes
- #23: Module overview Page shows an overall view of one presentation of an OU module Top chart shows average VLE activity in each week compared to VLE activity in the previous years This chart also shows average score in each of the TMAs, again compared with the previous year The bar below the chart shows interesting summaries from the current module presentation with clearly visible trends (compared to the last year) The most important part of the module overview is the table with predictions The table shows predictions for the next TMA as well as for the whole module It is possible sort the table by any of the columns, for example by next TMA prediction Moreover, the user can narrow the view by applying various filter settings, i.e. only students of region XY etc. - After selecting one student, the user is redirected to the student overview page...
- #24: Student overview Similarly to the module overview page, the top chart shows student’s activity in the VLE together with her TMA performance compared the the average of the whole module To understand, how the prediction models’ decisions were made, the “target” in the bottom left of the chart shows the most similar students to the currently selected student based on demographics and VLE activities It is possible to put different weights to either one of the parameters of the target (the VLE activities and the demographics) The table in the bottom right of the chart shows TMA submission predictions compared to real values and justifications of the predictions To improve the student’s performance based on his current activities, we provide personalized recommendations for each of the students These recommendations consist of various activities which the student is missing and are important for successfully finishing the module The recommendations contain links which point directly to the module website to the appropriate activities and resources
- #34: Explain what WPs will do and main deliverables