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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Cross-Situational Learning Towards Robot Grounding
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In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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Why, What and How to help each Citizen to Understand Artificial Intelligence?
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In: EISSN: 0933-1875 ; KI - Künstliche Intelligenz ; https://hal.inria.fr/hal-03024034 ; KI - Künstliche Intelligenz, Springer Nature, 2021, pp.1610-1987 (2021)
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Abstract:
Presentation: https://tinyl.io/4HaX ; International audience ; A critical understanding of digital technologies is an empowering competence for citizens of all ages. In this paper we introduce an open educational approach of artificial intelligence (AI) for everyone. Through a hybrid and participative MOOC we aim to develop a critical and creative perspective about the way AI is integrated in the different domains of our lives. We have built and now operate a MOOC in AI for all the citizens from 15 years old. The MOOC aims to help understanding AI foundations and applications, intended for a large public beyond the school domain, with more than 20000 participants engaged in the MOOC after nine months. This study addresses the pedagogical methods for designing and evaluating the MOOC in AI. Through this study we raise four questions regarding citizen education in AI: Why (i.e., to which aim) sharing such citizen formation ? What is the disciplinary knowledge to be shared? What are the competencies to develop ? How can it be shared and evaluated? We finally share learning analytics, quantitative and qualitative evaluations and explain to which extent educational science research helps enlighten such large scale initiatives. The analysis of the MOOC in AI helps to identify that the main feedback related to AI is “fear”, because AI is unknown and mysterious to the participants. After developing playful AI simulations, the AI mechanisms become familiar for the MOOC participants and they can overcome their misconception on AI to develop a more critical point of view. This contribution describes a K-12 AI educational project or initiatives of a considerable impact, via the formation of teachers and other educators.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SHS.EDU]Humanities and Social Sciences/Education; Artificial intelligence for all; Computational thinking; MOOC; Open Educational Resources (OERs)
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URL: https://hal.inria.fr/hal-03024034v2/file/Resubmission%20KUIN-D-20-00046.pdf
https://hal.inria.fr/hal-03024034
https://hal.inria.fr/hal-03024034v2/document
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Formalizing Problem Solving in Computational Thinking : an Ontology approach
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In: IEEE ICDL 2021 – International Conference on Development and Learning 2021 ; https://hal.inria.fr/hal-03324136 ; IEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China (2021)
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
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In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
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In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embedding
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In: KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021 ; https://hal.inria.fr/hal-03360307 ; KRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam (2021)
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Learning to Parse Sentences with Cross-Situational Learning using Different Word Embeddings Towards Robot Grounding ...
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Cognitive Architecture and Software Environment for the Design and Experimentation of Survival Behaviors in Artificial Agents
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In: IJCCI 2018 - 10th International Joint Conference on Computational Intelligence ; https://hal.inria.fr/hal-01931497 ; IJCCI 2018 - 10th International Joint Conference on Computational Intelligence, Sep 2018, Seville, Spain (2018)
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Terres neuves agricoles, terres d'élevage en sursis » : trajectoires actuelles et recomposition des espaces agropastoraux dans le Sud- Ouest nigérien
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In: 5ème Rencontres des études africaines en France ; https://hal.archives-ouvertes.fr/hal-02421705 ; 5ème Rencontres des études africaines en France, Jul 2018, Marseille, France (2018)
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Dynamique des ressources pastorales, perception des changements et stratégies d’adaptation des agropasteurs sahéliens : exemple de la commune de Hombori (Mali).
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In: 3ème conférence internationale AMMA-France ; https://hal.archives-ouvertes.fr/hal-02421770 ; 3ème conférence internationale AMMA-France, Nov 2010, Toulouse, France (2010)
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Spatio-Temporal and Complex-Valued Models based on SOM map applied to Speech Recognition
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In: Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007 ; https://hal.inria.fr/inria-00118122 ; Twentieth International Joint Conference on Artificial Intelligence - IJCAI'2007, Jan 2007, Hyderabad, India (2007)
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Spatio-temporal biologically inspired models for clean and noisy speech recognition
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In: ISSN: 0925-2312 ; Neurocomputing ; https://hal.inria.fr/inria-00186512 ; Neurocomputing, Elsevier, 2007, 71 (1-3), pp.131--136. ⟨10.1016/j.neucom.2007.08.009⟩ (2007)
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Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations
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In: Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience ; https://hal.inria.fr/inria-00000634 ; Stefan Wermter and Günther Palm and Mark Elshaw. Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience, 3575 (3575), Springer-Verlag, pp.144--161, 2005, Lecture Notes in Artificial Intelligence, 3-540-27440-5. ⟨10.1007/b139051⟩ (2005)
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Multi-criteria self-organization: Example of motor-dependent phonetic representation for a multi-modal robot
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In: Neurobotics Workshop of the 27th german conference on Artificial Intelligence ; https://hal.inria.fr/inria-00099901 ; Neurobotics Workshop of the 27th german conference on Artificial Intelligence, Sep 2004, Ulm, Germany, 12 p (2004)
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