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DIA4K12: Framework for Managing then Teaching-Learning of Artificial Intelligence at Early Ages

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Information Technology and Systems (ICITS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 414))

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Abstract

Artificial Intelligence (AI) is intervening positively in educations. UNESCO considers as a new vision to involve AI not only as a didactic medium but also as a science in which children can develop their intellect, through workshops, courses, and curricula focused on the fundamentals of AI, allowing them to develop skills such as computational and critical thinking. This research aims to design the DIA4K12 framework, which proposes the structure to support the teaching-learning process of AI in primary and secondary education. The core of the framework consists of four phases: planning, execution, process, and development; three components: open educational resources, K-12 curriculum and active methodologies; five sublevels: logical reasoning, computational thinking, and disconnected artificial intelligence, mathematics for AI, programming and machine learning; and three transversal axes: communities (communities of practice), open license (creative commons) and ethics. Finally, the framework was applied to a case study in the context of the Ecuadorian General Basic Education curriculum for the subject of Mathematics, using three phases, three components, and two sublevels.

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Acknowledgments

The authors would like to thank to “Corporación Ecuatoriana para el Desarrollo de la Investigación y Academia – CEDIA” for the financial support given to the present research, development, and innovation work through its CEPRA program, especially for the “Democratización del aprendizaje de la inteligencia artificial desde edades tempranas en Ecuador” fund. On the other hand, we acknowledge the support of the institutions “Universidad Nacional de Loja”, “Universidad Estatal de Bolívar”, “Universidad Técnica Particular de Loja”, “Universidad Internacional del Ecuador”, “Unidad Educativa Santa Mariana de Jesús-Loja”, “Instituto Superior Tecnológico Daniel Álvarez Burneo”, “Ministerio de Educación Zona 7”.

Author information

Authors and Affiliations

  1. Universidad Nacional de Loja, 110101, Loja, Ecuador

    Milton Labanda-Jaramillo & Luis Chamba-Eras

  2. Corporación Ecuatoriana para el Desarrollo de la Investigación y la Academia (CEDIA), 010102, Azuay, Ecuador

    Daysi Erreyes-Pinzon & Irene Chamba-Eras

  3. Ministerio de Educación, 110101, Loja, Ecuador

    Angel Orellana-Malla

Authors
  1. Milton Labanda-Jaramillo
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  2. Luis Chamba-Eras
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  3. Daysi Erreyes-Pinzon
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  4. Irene Chamba-Eras
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  5. Angel Orellana-Malla
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Corresponding author

Correspondence to Milton Labanda-Jaramillo .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Portugal

    Álvaro Rocha

  2. Geografía, University of Santiago de Compostela, Santiago de Compostela, Spain

    Carlos Ferrás

  3. Tecnológico de Costa Rica, San Carlos, Costa Rica

    Abel Méndez Porras

  4. Tecnológico de Costa Rica, San Carlos, Costa Rica

    Efren Jimenez Delgado

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Labanda-Jaramillo, M., Chamba-Eras, L., Erreyes-Pinzon, D., Chamba-Eras, I., Orellana-Malla, A. (2022). DIA4K12: Framework for Managing then Teaching-Learning of Artificial Intelligence at Early Ages. In: Rocha, Á., Ferrás, C., Méndez Porras, A., Jimenez Delgado, E. (eds) Information Technology and Systems. ICITS 2022. Lecture Notes in Networks and Systems, vol 414. Springer, Cham. https://doi.org/10.1007/978-3-030-96293-7_36

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