Artificial Intelligence Teaching Through Embedded Systems: A Smartphone-Based Robot Approach

Llamas, Luis; Prieto, Abraham; Orjales, Felix; Bellas, Francisco

doi:10.1007/978-3-030-35990-4_42

Cited by 7 publications

(2 citation statements)

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“…Robobo [16] is an educational robot comprised of a mobile base connected to a smartphone via Bluetooth, forming a single robotic platform with high technical specifications, low cost, and long durability. As depicted on the left side of Figure 1, Robobo is equipped with a high-resolution camera, microphone, tactile screen, speaker, WI-FI, Bluetooth, a powerful CPU, and other relevant features for teaching AI at all levels.…”

Section: Temporal Organization and Required Resourcesmentioning

confidence: 99%

Integrating AI into VET: Insights from AIM@VET’s First Training Activity

Emeršič,

Peer,

Hrastnik

et al. 2024

Artificial Intelligence

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This work presents the objectives, methodologies, and preliminary outcomes of the first training activity (TA1) within the AIM@VET project, an EU initiative aimed at integrating artificial intelligence (AI) into vocational education and training (VET) to align with labor market demands. Addressing the noticeable gap in AI education across various educational levels, AIM@VET, involving six partners from Spain, Portugal, and Slovenia, focuses on developing teacher-centered learning modules in key AI application areas: computer vision, robotics, and ambient intelligence. The project’s methodology involves universities in content preparation and VET teachers in content delivery to students, with an iterative feedback loop enhancing the curriculum’s relevance and effectiveness. TA1 demonstrated a practical approach to applying AI concepts through a mix of theoretical lessons and hands-on tasks, significantly improving students’ technical AI skills and readiness for the digital workforce. The activity underscored the importance of standardizing lesson creation protocols to produce a unified curriculum, thereby facilitating improved coordination among partners. This chapter will detail the project’s framework, its execution, and an analysis of the results obtained in the project’s first steps.

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Section: Temporal Organization and Required Resourcesmentioning

confidence: 99%

Integrating AI into VET: Insights from AIM@VET’s First Training Activity

Emeršič,

Peer,

Hrastnik

et al. 2024

Artificial Intelligence

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“…Regarding autonomous robotics, smartphone-based robot Robobo (2022) will be used. Due to the technological capabilities of this platform students will train their skills on most of the AI topics explained above, both in real and simulated cases (Bellas et al, 2017;Llamas et al, 2020). Finally, for the IoT field, the Home Assistant framework (Home, 2022) will be used, which supports android libraries too.…”

Section: Curriculum Organizationmentioning

confidence: 99%

AI Curriculum for European High Schools: An Embedded Intelligence Approach

Bellas

Guerreiro-Santalla

Naya-Varela

et al. 2022

Int J Artif Intell Educ

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This paper presents a proposal of specific curriculum in Artificial Intelligence (AI) for high school students, which has been organized as a two-year subject. The curriculum was designed based on two premises. The first one is that, although the proposal is targeted to scientific programmes, the involved students and teachers do not have any previous knowledge about AI. Accordingly, the teaching units have been designed with the aim of supporting teachers in a new discipline for them and, in addition, providing an introductory level to students. The main didactical objective is to establish the fundamentals of AI from a practical perspective, learning technical concepts by using them to solve specific problems. The approach that has been followed in the teaching units is focused on developing embedded intelligence solutions, that is, programming real-world devices which interact with real environments. To this end, and to address a second fundamental premise of low investment capability at schools, it has been decided to use Smartphones as the central technological element to implement such embedded intelligence at classes. This curriculum has been developed within the Erasmus + project entitled "AI + : Developing an Artificial Intelligence Curriculum adapted to European High School". The project was carried out by a team of AI experts and high school teachers who created the teaching units, and a group of students that tested them for three years, providing feedback to make the curriculum feasible for its introduction in schools in the short-term. The main results obtained from its implementation within the project scope are presented and discussed here, with the aim of contributing to the AIEd community progress by means of a practical pilot experience. Although the curriculum has been designed and tested at European level, it has been created with a general perspective of AI education, so it can be applied worldwide.

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