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1
The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school
In: http://infoscience.epfl.ch/record/291194 (2022)
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2
Why, What and How to help each Citizen to Understand Artificial Intelligence?
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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3
Formalizing Problem Solving in Computational Thinking : an Ontology approach
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)
Abstract: International audience ; We introduce the idea of a symbolic description of a complex human learning task, in order to contribute to better understand how we learn. The learner is modeled on the basis of knowledge from learning sciences with the contribution of cognitive neurosciences, including machine learning formalism, in the very precise framework of a task, named #CreaCube reviewed here, related to initiation to computational thinking presented as an open-ended problem, which involves solving a problem and appealing to creativity. We target problem-solving tasks using tangible interfaces for computational thinking initiation, and describe in details how we model the task and the learner behavior in this task, including goal-driven versus stimulus-driven behavior and the learner knowledge construction. We show how formalizing these elements using an ontology offers a well-defined computational model and the possibility of inferences about model elements, analyzing and predicting the learner behavior. This operationalization of a creative problem-solving task is still at a preliminary stage, but an effective proof of concept is described in this study.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SCCO.NEUR]Cognitive science/Neuroscience; [SHS.EDU]Humanities and Social Sciences/Education; Cognitive Neuroscience; Computational Thinking; Learning Sciences; Ontology; Problem-Solving
URL: https://hal.inria.fr/hal-03324136/file/AIDE_ICDL_2021.pdf
https://hal.inria.fr/hal-03324136/document
https://hal.inria.fr/hal-03324136
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4
Interdisciplinarité et usages co-créatifs du numérique en éducation
In: L’interdisciplinarité à l’école. Succès, résistance, diversité ; https://hal.archives-ouvertes.fr/hal-02422218 ; L’interdisciplinarité à l’école. Succès, résistance, diversité, pp.257-277, 2019, 978-2-88930-288-8 ; https://www.alphil.com/index.php/l-interdisciplinarite-a-l-ecole.html (2019)
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5
Multiculturalism and technology-enhanced language learning
Romero, Margarida (Herausgeber); Tafazoli, Dara (Herausgeber). - Hershey, PA : Information Science Reference, 2017
BLLDB
UB Frankfurt Linguistik
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6
Supporting Human Capital development with Serious Games: An analysis of three experiences
In: Computers in human behavior. - Amsterdam [u.a.] : Elsevier 30 (2014), 715-720
OLC Linguistik
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7
La construcción colaborativa de conocimiento en las redes de comunicación asíncrona y escrita (RCAE): una revisión de los instrumentos analíticosCollaborative knowledge construction in Asynchronous Learning Networks (ALN): A review of analytical tools
In: Cultura y educación. - Madrid : Fundación Infancia y Aprendizaje 22 (2010) 4, 455-474
OLC Linguistik
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