Introducing Artificial Intelligence Fundamentals with LearningML: Artificial Intelligence made easy
Abstract
This paper is a summary of the webinar hold on October 22nd at the “Computational thinking and robotics in education” track in which the LearningML project was presented. The LearningML project aims to bring the fundamentals of Artificial Intelligence (AI) to children and people interested in acquiring knowledge on this subject in an easy way. AI has heavily irrupted in society and everyone is using, more or less consciously, application based on AI. Therefore, some kind of AI literacy is needed if we are to educate critically thinking citizens able to understand technologies that have a relevant impact on their lives. In this presentation we show how LearningML can help us to reach this goal trough programming applications based on Machine Learning (ML), the most prevalent subfield of AI today.
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Many studies emphasized the relevance of AI literacy in higher and adult education.
“Moreover, many studies emphasized the relevance of AI literacy in higher and adult education (Lee, 2021a;Rodríguez-García et al., 2020;Sit et al., 2020;Xu & Babaian, 2021).”
From Artificial intelligence literacy in higher and adult education: A scoping literature review (2022) · cites this paper as Rodríguez-García et al., 2020
Five courses (50%) provided access to some form of programming environment.
“Another finding is that five courses (50%) provided access to some form of programming environment, whether in computer labs within institutions (e.g., Vazhayil et al., 2019) or in sandbox programming environments in the digital world (e.g., Rodríguez-García et al., 2020).”
From Artificial intelligence literacy in higher and adult education: A scoping literature review (2022) · cites this paper as Rodríguez-García et al., 2020
Rodríguez-García et al. evaluated LearningML, a machine learning model builder, to develop critical thinking.
“In another study, Rodríguez-García et al. (2020) evaluated LearningML, a machine learning model builder, to develop critical thinking.”
From Conceptualizing AI literacy: An exploratory review (2021) · cites this paper as Rodríguez-García et al. (2020)
LearningML teaches K-12 students AI fundamentals to understand the applications of AI, how it can affect their lives, and the ethical issues that arise from AI technologies.
“This model builder teaches K-12 students on AI fundamentals to understand the applications of AI, how it can affect their lives, and the ethical issues that arise from AI technologies.”
From Conceptualizing AI literacy: An exploratory review (2021) · cites this paper as Rodríguez-García et al. (2020)
Free online resources and courses, public art installations and museum exhibits are viable approaches to cultivate the general public to understand and use AI applications ethically and to establish a collaborative, creative, robust and safe society.
“To cultivate the general public to understand and use AI applications ethically, free online resources and courses (Robinson; 2020), public art installations and museum exhibits (Rodríguez-García et al., 2020) are viable approaches to establish a collaborative, creative, robust and safe society.”
From Conceptualizing AI literacy: An exploratory review (2021) · cites this paper as Rodríguez-García et al., 2020
Five studies designed unplugged learning activities to foster students' AI literacy without using a computer through engaging approaches such as case study, role-playing and storytelling.
“Alternatively, five studies designed unplugged learning activities to foster students' AI literacy without using a computer through engaging approaches such as case study, role-playing and storytelling (e.g., Julie et al., 2020;Rodríguez-García et al., 2020).”
From Conceptualizing AI literacy: An exploratory review (2021) · cites this paper as Rodríguez-García et al., 2020
Rodríguez-García et al. (2020) evaluated LearningML, a machine learning model builder, to educate citizens to understand AI applications and how it can affect our lives, as well as knowing the ethical issues regarding AI technologies.
“For example, Rodríguez-García et al. ( 2020) evaluated LearningML, a machine learning model builder, to educate citizens to understand AI applications and how it can affect our lives, as well as knowing the ethical issues regarding AI technologies.”
From Conceptualizing AI literacy: An exploratory review (2021) · cites this paper as Rodríguez-García et al. (2020)
Cites
What is AI Literacy? Competencies and Design Considerations
Long, D., & Magerko, B. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376727 · Cited by 3,241 · cited 1× · see citing works
“It is a must, therefore, that citizens know its fundamentals in order to understand what can be made with AI, and how it can affect our lives [7].”
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Cited by
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Conceptualizing AI literacy: An exploratory review
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2021.100041 · Cited by 2,205 · see citing works
AI literacy in K-12: a systematic literature review
Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023) · International Journal of STEM Education · doi:10.1186/s40594-023-00418-7 · Cited by 724 · see citing works
“, 2020) or combine traditional programming activities with ML model building (Rodríguez-García et al., 2020).”
BackgroundArtificial intelligence literacy in higher and adult education: A scoping literature review
Laupichler, M. C., Aster, A., Schirch, J., & Raupach, T. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100101 · Cited by 658 · see citing works
<scp>AI</scp> Literacy: Definition, Teaching, Evaluation and Ethical Issues
Ng, D. T. K., Leung, J. K. L., Chu, K. W. S., & Qiao, M. S. (2021) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.487 · Cited by 537 · see citing works
Using digital story writing as a pedagogy to develop AI literacy among primary students
Ng, D. T. K., Luo, W., Chan, H. M. Y., & Chu, S. K. W. (2022) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2022.100054 · Cited by 266 · see citing works
A systematic review of teaching and learning machine learning in K-12 education
Sanusi, I. T., Oyelere, S. S., Vartiainen, H., Suhonen, J., & Tukiainen, M. (2023) · Education and Information Technologies · doi:10.1007/s10639-022-11416-7 · Cited by 212 · see citing works
Su, J., & Yang, W. (2024) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12867 · Cited by 116 · see citing works
AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review
Gu, X., & Ericson, B. J. (2025) · arXiv · doi:10.48550/arxiv.2503.00079 · Cited by 73
Marzano, D. (2026) · Technology, Knowledge and Learning · doi:10.1007/s10758-025-09853-7 · Cited by 51 · see citing works
- Authors
- Rodríguez-García, J. D., Moreno-León, J., Román-González, M., & Robles, G.
- Affiliations
- Instituto Nacional de Tecnologías Educativas y Formación del Profesorado (INTEF), Spain
- Programamos, Spain
- Universidad de Educación a Distancia (UNED), Spain
- Universidad Rey Juan Carlos, Spain
- ORCID
- Moreno-León, Jesús
- Venue
- Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality
- Publisher
- ACM
- Published
- 2020-10-21
- Pages
- 18-20
- OpenAlex
- W3126017685
- Cited by
- 46
- References
- 1
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 8 · 2023: 7 · 2022: 7 · 2021: 4
- FWCI
- 5.23
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Ninth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM'21) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › Educational Robotics and Engineering
- Keywords
- artificial intelligence in education, machine learning, AI literacy, programming education, children, computational thinking, educational robotics, critical thinking
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