Abstract
The COVID-19 pandemic has highlighted the strategic importance of artificial intelligence (AI) to all the governments around the world. However, governments do not seem to have understood to the same extent how AI can be implemented, so they are not taking advantage of its potential. Education plays a critical role in efforts to make future workforces AI-ready. It is an emergency the development of digital skills especially in matters of AI and it becomes clear that in order to ensure that a country has the trained and talented workforce needed to implement artificial intelligence in the economy and society, it is essential to invest in STEM and AI education that can give students the skills and opportunities to pursue a career in STEM. As is well known, creating the next generation of scientists, leaders and entrepreneurs takes time and it’s nurtured over many years, starting at an early age in school. The curricular reform efforts outlined in this paper clearly demonstrate the need to define the journey in ‘AI competences’ in K-12 education that incorporates 21st century skills. The paper explores the AI skills and competences that need to be developed in primary and secondary education and presents some implementations of AI-based interventions in the classroom using voice assistants.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
AI Readiness Index 2020, Oxford Insights. https://www.oxfordinsights.com/government-ai-readiness-index-2020. Accessed 14 June 2021
Τεχνητή Νοημοσύνη: Τα δεδομένα σήμερα και οι προτάσεις του ΣΕΒ. TEYXΟΣ 59 | 2 Δεκεμβρίου 2020. https://www.sev.org.gr/vivliothiki-tekmiriosi/special-report/techniti-noimosyni-ena-aparaitito-alma-gia-tis-epicheiriseis-ta-dedomena-simera-kai-oi-protaseis-tou-sev/. Accessed 14 June 2021
Communication from the Commission to the European parliament, the council, the European economic and social committee and the committee of the regions. https://eur-lex.europa.eu/legal-content/GA/TXT/?uri=CELEX%3A52018DC0022. Accessed 19 June 2021
The Digital Competence Framework 2.0. https://ec.europa.eu/jrc/en/digcomp/digital-competence-framework. Accessed 14 June 2021
Digital Competence Framework for citizens. https://ec.europa.eu/jrc/en/digcomp. Accessed 14 June 2021
Digital Competence Framework for Educators (DigCompEdu). https://ec.europa.eu/jrc/en/digcompedu. Accessed 14 June 2021
Call for contributions to DigComp 2.2. https://ec.europa.eu/jrc/sites/default/files/message_stakeholders_digcomp_2_2_cop.pdf. Accessed 14 June 2021
Long, D., Magerko, B.: What is AI literacy? competencies and design considerations. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–16. Association for Computing Machinery, New York, NY, United States (2020)
Williams, R., Park, H.W., Oh, L., Breazeal, C.: PopBots: designing an artificial intelligence curriculum for early childhood education. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33, No. 01, pp. 9729–9736. AAAI Press, Palo Alto (2019)
Amanatidis, N., Kiriakos, D., Misthou, S., Paliouras, A., Papadopetraki, E.: Teaching Artificial Intelligence in Primary, Secondary and Post-Secondary Public Education in Greece. «I-TEACHER» - (28), pp. 9–39 (2021). ISSN 1792-4146
Alexa Skill Blueprints. https://blueprints.amazon.com/. Accessed 19 June 2021
Alexa skill blueprint “Create your own Fairy Tale Story. https://blueprints.amazon.com/bp/amzn.ask.bp.5ffada1a-a4bd-4201-b758-74f7f8d8a946/en-US?ref_=ask_bp_home_5_0. Accessed 14 June 2021
Fairy Tale. https://blueprints.amazon.com/skills/create/amzn.ask.bp.5ffada1a-a4bd-4201-b758-74f7f8d8a946/en-US?ref_=ask_bp_detail_make. Accessed 19 June 2021
Alexa skill blueprint “Sci-Fi”. https://blueprints.amazon.com/bp/amzn.ask.bp.9f3353dd-bed5-4fe0-960b-dbd074c5d419/en-US?ref_=ask_bp_home_5_1. Accessed 14 June 2021
Alexa skill blueprint “Quiz”. https://blueprints.amazon.com/bp/amzn.ask.bp.ce6a1169-85b2-4ddc-a5f2-c263f102c402/en-US?ref_=ask_bp_home_3_0. Accessed 14 June 2021
Burrell, J.: How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016). https://doi.org/10.1177/2053951715622512
OECD.AI: Human-centred values and fairness (Principle 1.2). https://oecd.ai/dashboards/ai-principles/P6. Accessed 14 June 2021
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Misthou, S., Paliouras, A. (2022). Teaching Artificial Intelligence in K-12 Education: Competences and Interventions. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_80
Download citation
DOI: https://doi.org/10.1007/978-3-030-96296-8_80
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96295-1
Online ISBN: 978-3-030-96296-8
eBook Packages: EngineeringEngineering (R0)