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Ilearn Goals

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Ilearn Goals Combining AI and collective intelligence to create a GPS for knowledge CRI Paris We experiment at frontiers of learning, life and digital From babies to lifelong learning LMD students Learning by doing Interdisciplinarity Sustainable Development goals A changing job market Too much! Fake news Recruting for skills on the digital job market Can we reinvent learning with artificial intelligence? What can you (almost) do with AI today? Deep Learning Classification Generation Who are these persons? www.thispersondoesnotexist.com Based on GAN (Generative Adversarial Networks) A.I. image generation From text to image From text to image Text generation Automatic Q&A generation from Wikipedia Debating with A.I. February 12th, 2019 IBM Project Debater vs. World Debating Champion Motion: “We should subsidise preschool” ● 15 mins to prepare arguments ● 4-minute opening statement ● 4-minute rebuttal ● 2-minute summary Predictive tools Pneumonia detection from thorax radiographies (2017) Deepfake A.I. lip reading Conversational interfaces May 2018 Google Duplex iLearn goals Map all learning resources available on the Internet Build learning profiles of our users Provide them maps of their own learnings Match learners with adapted resources Match learners with mentors or co-learners iLearn Knowledge maps + = + Collective Artificial intelligence intelligence Learning groups iLearn iLearn Tags an online Users improve document as a qualification Concepts extraction useful learning (concepts and resource difficulty) Artificial Collective Intelligence Intelligence iLearn usecase : tagging a resource iLearn evaluates : • Resource difficulty level by concept • Knowledge level of the learner by concept • Works with ANY learning resource, not just OER! iLearn usecase : tagging a resource Ontology based on Wikipedia founded in 50.000.000 2001 articles 300 120.000 languages ”Wikipedians” 5.769.000 concepts Same concept, different difficulty levels ELO rating iLearn Visualise learners trajectories on a concept map iLearn Visualiser les parcours des apprenants sur une carte des concepts What can we do with this? Recommend resources fitting your own learning objectives Link you with mentors Build co-learners groups Where are we now? Tag online learning resources with a browser extension Automatic concept extraction Improve resource qualification with crowdsourcing Evaluate difficulty level Map current learning concepts Search through own tagged resources Learning resource recommendation engine Suggest mentors Identify co-learners groups What next? • Growth hacking • Support all major languages • New features : group maps, search, ‘I doubt’ button • Add value to all user types : teachers, unemployed Learning ecosystem Image from Ishan Ishan from @seefromtheskyImage Profiling learners • Interests • Skill proficiency • Cultural background • Learning style ➔ Deep learning From iLearn to iCan • Skill micro-validation • Soft skills integration • Open badges • Degrees (VAE) ➔ Compare your profile with a specific job / population ➔ Plan your learning path A gateway to non digital learning • Places of learning : libraries, museums, campuses, galleries, maker spaces, artists in residence... • Events : hackathons, open challenges, conferences, workshops, meetups… • Books • Learning circles… Learning ecosystem • Analyse learning global trends • Supporting world needs ➔ SDG Personal data control Solid personal data store Tim Berners-Lee Personal data control ➔ If we do not build iLearn as a non profit / public service, GAFAM will do it for us… …and we’ll be the product! Why is iLearn disruptive? ● Covers all knowledge with a digital trace, formal and informal ● Reflexivity and intermediation ● Can partner with OER seach engines as well as private learning platforms (OpenClassrooms, MOOCS…) ● Aligned with SDGs iLearn team, growing fast Eric CHEREL Prashant SINGHA Jean-Marc SEVIN Gaell MAINGUY Tong Qu CRI Chief Information Officer Full stack developer Data scientist CRI Development director User feedback Project coordinator and designer and community manager + a network of researchers in education, dataviz, network analysis, learning paths… + mentors and experts : vision, tech, business… Open questions 1. Existing education ecosystem integration How will existing education stakeholders fare with these future evolutions? 2. People as learning resources How can we match learners with them? Why should they help? Can Open Badges and AI profiling tools like iLearn help? How? 3. Gateway to non digital learning resources 4. Recommend formal assessment to iLearn user Can a universal testing/training system exist with AI? 5. Recognize skills learned informally 6. Economic model of the learning society digital ecosystem People are learning resources • Mentors • Co-learners • Teachers • Experts and scientists How can we match learners with them? Why should they help? How can we reward the best mentors and open learning content providers? Existing education ecosystem integration How will existing education stakeholders fare with these future evolutions ? • Schools • Universities and higher education establishments • Vocational training establishments • Teachers associations • OER producers • State institutions • International MOOC platforms • GAFAMs and other major digital players • EdTech companies Can we recommend formal assessment to iLearn users Use existing systems : • MOOCs • VAE • Degrees… Can a universal testing / training system exist with AI ? Learning society digital ecosystem economic model Keywords : • open source, • state operator, • grants, • business premium features, • user payment, • crowdfunding, • fundations, • etc. Recognize skills learned informally • Professional experiences • Associations • Training periods • Peer recognition • Project based recognition • Challenges and trophies How can AI and open badges help recognize skills ? What’s the benefit of this digital learning ecosystem? • Match learners with the best resources • Create massive learning behaviour data with huge social and economic value • Valorize the best OER resources and learning the best learning strategies • Initiate the recognition society iLearn project resources • Learn more : https://ilearnproject.cri-paris.org • Test the extension : https://opt.ilearn.cri-paris.org on Firefox • Send us feedback [email protected].
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