Category: FAAI

Publication: The Role of Cyber-Physical Systems and Internet of Things In Development of Smart Cities for Industry 4.0

Publication: The Role of Cyber-Physical Systems and Internet of Things In Development of Smart Cities for Industry 4.0

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The pace of urbanisation is currently increasing. Modern cities are striving to become more technologically advanced and “smarter”, combining the concept of sustainable development with an improved quality of life. At the same time, digital transformation is taking place, and a variety of flexible tools will help meet the growing challenges of urbanisation over the next
few decades. One of the tools of digital transformation is cyber-physical systems.
Cyber-physical systems (CPS) are a set of infrastructure and production systems that
combine computing (cyber) technologies integrated into the physical environment with
human interaction.

The full article text can found here: https://ceur-ws.org/Vol-3468/paper7.pdf

You can listen to article here:

FAAI: Teacher training 4.5

FAAI: Teacher training 4.5

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During May 15-19, 2023 teacher training activity was hold at Podgorica (Montenegro) within Erasmus+ Project No. 2022-1-PL01-KA220-HED-000088359 “The Future is in Applied Artificial Intelligence” (FAAI)

The training was hosted by University of Montenegro as the hosting organization. The representatives of 5 HEIs were trained, prepared educational materials, guides, and reported for 5 days (35 hours). Totally 25 participants were trained within the framework of the project, namely from University of Bielsko-Biala (UBB), University of Library Studies and Information Technologies (ULSIT), University of Nis (UNi), University of Ss Cyril and Methodius in Trnava (OSCM), University of Montenegro (UoM).

The goal of the joint staff training was to transfer and share the knowledge regarding the developed “Artificial Intelligence Competency Framework”, “Artificial Intelligence Learning Requirements” and “Мain content and topics of the curriculum”.  The given training activity was organized within a framework of the work package 4, as a result of which there should be developed learning methodology and learning materials for training teachers.

More information can be found here.

Learning materials shared before the training are here

Learning Materials for Teacher Training A4.5

Learning Materials for Teacher Training A4.5

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The link to the entire document is  here.     This document outlines a comprehensive framework for developing learning materials tailored to training teachers in Applied Artificial Intelligence (AAI). It emphasizes structured methodologies, interactive teaching strategies, and innovative assessment approaches to foster competence-based education.

The content is divided into six main sections. The first section introduces the methodology for training in AAI, outlining objectives, core principles, and a phased framework. These include the foundational phase for theoretical knowledge, the applied learning phase for practical skills, and the pedagogical integration phase to prepare teachers for classroom delivery. Essential tools, resources, and feedback mechanisms are also discussed to enhance the learning process.

Subsequent sections delve into specific instructional strategies, such as preparing lectures in a question-and-answer format to engage learners actively and designing competence-based classes that integrate theoretical and practical elements. Special emphasis is placed on developing use cases and collaborative projects, fostering teamwork and real-world problem-solving skills.

Methodologies for competence examination are highlighted, providing detailed guidelines for structuring foundational and application-level assessments. This includes examples of quizzes, case studies, and team-based projects, along with best practices for evaluation and feedback. The document also explores how to design learning trajectories, focusing on linear and branching scenarios to cater to diverse learning needs. Activities and resources are recommended to enhance the learning experience, ensuring adaptability and relevance.

The framework prioritizes continuous improvement through feedback and performance analysis, ensuring that the materials remain dynamic and aligned with advancements in AI technologies. By equipping teachers with robust strategies and tools, this document aims to transform AAI education, preparing educators to lead dynamic, engaging, and impactful learning experiences.

Annex

Links to the presentations

Introduction_TargetGroups

FAAI_StateOfTheArt

Research 1 and 2

Research 5

Research 6

Preparing_methodology_for_competence_examination

AI_modules_4_9

Module5_presentation_AAI_External_modules

Module8_presentation_AAI_Healthcare

How_to_develop_learning_trajectories

The Bulgarian team presented project objectives to”Panteley Toshev OOD”

The Bulgarian team presented project objectives to”Panteley Toshev OOD”

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On 31.01.2023, the local coordinator of the FAAI project Prof. Georgi Dimitrov presented the project to the company “Panteley Toshev OOD”, an innovative and technological leader in the development and production of ingredients for drinks and food in Bulgaria. The representatives of the company showed serious interest in the possibilities of applying AI in the development of new products.