Artificial intelligence and computer science in education: From kindergarten to university

Kandlhofer, Martin; Steinbauer, Gerald; Hirschmugl-Gaisch, Sabine; Huber, Petra

doi:10.1109/fie.2016.7757570

Cited by 148 publications

(130 citation statements)

References 17 publications

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“…Further implementations are rolled-out continuously. The entire approach is based on a number of prior projects which focused on teaching fundamental concepts of AI and Robotics to teachers and young people of different age groups, ranging from kindergarten kids to high school and undergraduate students [15,25,40,42,44]. Educational concepts to teach basic Robotics and AI principles to young school students and teachers were developed and tested in [25,40,44], whereas concepts to teach more advanced Robotics and AI principles to older school students were developed and evaluated in [15,42].…”

Section: Introductionmentioning

confidence: 99%

EDLRIS: A European Driving License for Robots and Intelligent Systems

Kandlhofer¹,

Steinbauer

Lassnig

et al. 2021

Künstl Intell

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This article presents a novel educational project aiming at the development and implementation of a professional, standardized, internationally accepted system for training and certifying teachers, school students and young people in Artificial Intelligence (AI) and Robotics. In recent years, AI and Robotics have become major topics with a huge impact not only on our everyday life but also on the working environment. Hence, sound knowledge about principles and concepts of AI and Robotics are key skills for this century. Nonetheless, hardly any systematic approaches exist that focus on teaching principles of intelligent systems at K-12 level, addressing students as well as teachers who act as multipliers. In order to meet this challenge, the European Driving License for Robots and Intelligent Systems—EDLRIS was developed. It is based on a number of previously implemented and evaluated projects and comprises teaching curricula and training modules for AI and Robotics, following a competency-based, blended learning approach. Additionally, a certification system proves peoples’ acquired competencies. After developing the training and certification system, the first 32 trainer and trainee courses with a total of 445 participants have been implemented and evaluated. By applying this innovative approach—a standardized and widely recognized training and certification system for AI and Robotics at K-12 level for both high school teachers and students—we envision to foster AI/Robotics literacy on a broad basis.

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Section: Introductionmentioning

confidence: 99%

EDLRIS: A European Driving License for Robots and Intelligent Systems

Kandlhofer¹,

Steinbauer

Lassnig

et al. 2021

Künstl Intell

Self Cite

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“…Considering this presence and the inevitable impact it has on daily activities, it is essential that people are prepared to deal with both current technologies and those to come. Thus, today, it is necessary to understand Artificial Intelligence not just a consumer, also as a creator of this type of innovation, since it is found practically everywhere (Touretsky et al, 2019) (Kandlhofer et al, 2016). Taking into account also the gap between the growing market demand for AI professionals and the number of professionals available, it is necessary to stimulate interest in careers in this area from an early age on (Forbes, 2019).…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for All – Introducing Machine Learning in K-12

Wangenheim¹,

Marques²,

Hauck³

2020

Preprint

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Although Machine Learning (ML) is integrated today into various aspects of our lives, few understand the technology behind it. This presents new challenges to extend computing education early on including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an introductory course to teach basic ML concepts, such as fundamentals of neural networks, learning as well as limitations and ethical concerns in alignment with the K-12 Guidelines for Artificial Intelligence. It also teaches the application of these concepts, by guiding the students to develop a first image recognition model of recycling trash using Google Teachable Machine. In order to promote ML education, the interactive course is available online in Brazilian Portuguese to be used as an extracurricular course or in an interdisciplinary way as part of science classes covering recycling topics.

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“…Portanto, é importante popularizar o entendimento básico das tecnologias de IA [Touretzky et al 2019a]. Com isso, o ensino de computação ganha novas perspectivas e olhares, em busca de preparar os estudantes para serem mais do que consumidores das tecnologias, mas também criadores de soluções inovadoras e inteligentes [Touretzky et al 2019b] [Kandlhofer et al 2016]. O ensino de IA na educação básica pode proporcionar um aumento no interesse desses estudantes em seguir carreiras nas áreas tecnológicas.…”

Section: Introductionunclassified

Ensino de Machine Learning na Educação Básica: um Mapeamento Sistemático do Estado da Arte

Marques¹,

Wangenheim²,

Hauck³

2020

Anais Do XXXI Simpósio Brasileiro De Informática Na Educação (SBIE 2020)

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Uma vez que a Machine Learning (ML) está presente em vários aspectos de nossas vidas, novos desafios são apresentados à educação em ajudar estudantes a entender os potenciais e limites dessa tecnologia. Para obter um panorama do estado da arte do ensino de ML, foi realizado um mapeamento sistemático. Foram identificadas 39 unidades instrucionais focadas em conceitos básicos e redes neurais. Muitas unidades abordam apenas de forma parcial o processo de ML, como gerenciamento de dados, ou apresentam alguns processos apenas de forma abstrata. Os resultados obtidos indicam que o ensino de ML na educação básica pode aumentar o entendimento e interesse, bem como contextualizar conceitos de ML na vida dos estudantes.

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Artificial intelligence and computer science in education: From kindergarten to university

Cited by 148 publications

References 17 publications

EDLRIS: A European Driving License for Robots and Intelligent Systems

EDLRIS: A European Driving License for Robots and Intelligent Systems

Machine Learning for All – Introducing Machine Learning in K-12

Ensino de Machine Learning na Educação Básica: um Mapeamento Sistemático do Estado da Arte

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