• • • • Activity 2.1 Needs Analysis and Review of Existing Courses successfully finished on January 31st, 2025. The final report can be downloaded as pdf file below.

      •  Activity 2.2 Definition of a New Course Content. The final report can be downloaded as pdf file below.

      • Activity 2.3 Definition of a developing Innovative Teaching Methodologies Aligned with Personalized Learning Approach. The final report can be downloaded as pdf file below.

      • Activity 2.4 Development of Educational Resources for PEMS-ML The final report can be downloaded as pdf file below.

      • Activity 2.5 Report on the Round Table. The final document can be downloaded as pdf file below.

PEMS-ML Digital Teaching Materials

Within the PEMS-ML project, a comprehensive collection of 55 digital teaching materials has been developed to support modern and personalized education in measurement science and technology. The materials cover a range of contemporary topics and combine theoretical knowledge with practical and interactive learning approaches.

The collection includes short educational clips, multimedia tutorials, simulations, interactive games, and industry-oriented case studies. These resources are designed to support different learning styles, encourage active student participation, and facilitate the integration of innovative teaching methodologies into measurement-related courses.

All developed materials are made freely accessible for students, educators, professionals, and other interested users, supporting their use and further integration into education and self-directed learning.

Explore the PEMS-ML teaching materials and discover new ways of learning measurement science and technology.

https://www.youtube.com/@ErasmusPEMS-ML 

Work package 3: Developing ML Algorithms to Support Personalized Learning and Implementing the New Course

A3.1 Development, Training, Testing, and Validation of ML Algorithms for Personalized Learning

A3.2 Establishment of the Centralized Platform for Personalized Learning

A3.3 Incorporation of the new course “Measurement Science and Technology for Industry 5.0” into regular teaching practices at all partners’ institutions

A3.4 Training event

Work package 4: Dissemination

WP4 addresses Dissemination, aiming to effectively share project results with target audiences. It involves designing strategies to publicize findings, engaging with academic and industry stakeholders, and maximizing the project's impact through outreach activities like publications, workshops, and digital media. This work package is critical for amplifying the project's visibility and encouraging the adoption of its outcomes. 

A4.1 Creating Project Logo and Visual Identity and Defining a Dissemination Strategy

Within the framework of the Erasmus+ PEMS-ML project (Personalized Education in Measurement Science and Technology Empowered by Machine Learning), a recognizable project logo and visual identity were developed to ensure consistent and effective communication of project activities, objectives, and results.

The project logo was designed to reflect the main concepts of the PEMS-ML initiative, emphasizing measurement science and technology, digital education, innovation, and machine learning. A consistent visual identity was established and applied across project communication and dissemination materials, including the official website, social media platforms, presentations, newsletters, promotional materials, and project documentation.

In parallel, a dissemination strategy was defined to ensure the systematic promotion of project activities and results at local, national, and international levels. The strategy identified the main target groups, including university students, academic staff, researchers, industry representatives, educational institutions, and other relevant stakeholders.

The dissemination strategy combined several communication channels and activities, including:

• Regular updates on the official project website and social media platforms (Facebook and LinkedIn).

• Preparation and distribution of project newsletters and promotional materials.

• Presentation of project activities and scientific results at national and international conferences.

• Organization of workshops, stakeholder meetings, and a virtual multiplier event.

• Direct communication with students, educators, industry representatives, and other stakeholders.

• Promotion of the developed digital learning resources and personalized e-learning platform.

The dissemination activities were coordinated among the three project partners: Ss. Cyril and Methodius University in Skopje (UKIM), Politecnico di Milano (POLIMI), and the University of Niš (UNI), ensuring consistent communication and broad geographical coverage.

Particular attention was given to the visibility requirements of the Erasmus+ programme, including the appropriate acknowledgment of European Union co-funding in project-related publications, presentations, and promotional materials.

Overall, Activity A4.1 established the foundation for effective project communication and dissemination, ensuring a coherent visual identity, coordinated promotional activities, and increased visibility of the PEMS-ML project and its results among the relevant target groups.

Activity A4.2 Internet Promotion (Website and Social Networks)

Within the framework of the Erasmus+ PEMS-ML project (Personalized Education in Measurement Science and Technology Empowered by Machine Learning), continuous online promotional activities were implemented to enhance project visibility, disseminate results, and reach a wider audience at national and international levels.

The official project website and social media platforms, particularly Facebook and LinkedIn, were used to regularly share information about project activities, partner meetings, workshops, educational materials, scientific publications, and dissemination events.

The project's online presence includes:

• Facebook page: https://www.facebook.com/profile.php?id=61568594792049

• LinkedIn posts (#PEMSML): https://www.linkedin.com/search/results/content/?keywords=%23pemsml&origin=CLUSTER_EXPANSION

Special attention was given to promoting the 55 digital learning resources developed within the project and the personalized e-learning platform incorporating machine learning techniques. Social media posts also highlighted the participation of project partners in international scientific conferences, project achievements, and opportunities for students and educators to explore the developed educational resources.

These promotional activities contributed to raising awareness of the PEMS-ML project, strengthening communication with students, academic staff, researchers, and other stakeholders, and supporting the wider dissemination and sustainability of project results beyond the project duration.

Activity A4.3 PEMS-ML Publishes Four Newsletters to Share Project Achievements and Results

As part of Activity A4.3 – Creation and Distribution of Project Newsletters and Other Promotional Materials, the Erasmus+ project “Personalized Education in Measurement Science and Technology Empowered by Machine Learning” (PEMS-ML) has successfully published four project newsletters, highlighting the project's progress, key achievements, and dissemination activities.

The newsletters provide updates on project implementation, international partner meetings, development of innovative digital teaching resources, and the establishment of the personalized learning platform. Particular attention is given to the development of 55 digital educational materials, the integration of machine learning into measurement science education, and the presentation of project results at international scientific conferences and dissemination events.

In addition to the four newsletters, various promotional materials have been prepared and distributed to increase project visibility and raise awareness of its objectives and outcomes among students, educators, researchers, and other stakeholders.

The newsletters and promotional materials have been shared through the official project website, partner institutions' websites, social media platforms, and project-related events, contributing to broader dissemination of project results and strengthening cooperation with the academic and professional communities.

Through these activities, the PEMS-ML consortium continues to promote innovative educational approaches, ensure the accessibility of project outcomes, and support the long-term sustainability and impact of the developed resources.

All four PEMS-ML newsletters are available on the project website, providing an overview of the project's activities, achievements, and contributions to personalized engineering education.

Activity A4.4 Organization of a Virtual Multiplier Event

Within the framework of the Erasmus+ PEMS-ML project (Personalized Education in Measurement Science and Technology Empowered by Machine Learning), a virtual multiplier event was successfully organized on 16 October 2026, bringing together more than 60 participants, including university professors, researchers, students, and other stakeholders.

The event was organized online via Microsoft Teams, with the participation of representatives from all three project partner institutions: Ss. Cyril and Methodius University in Skopje (UKIM), Politecnico di Milano (POLIMI), and the University of Niš (UNI).

The main objective of the event was to disseminate the project results, present the developed digital educational resources, and demonstrate the personalized e-learning platform incorporating machine learning techniques for measurement science and technology education.

During the event, project partners presented the main achievements of the PEMS-ML project, including the development of 55 digital learning resources, the implementation of the centralized e-learning platform, and the application of AI-based personalized feedback mechanisms. Particular attention was given to the validation activities conducted with students from the partner universities and the potential of the developed educational approach to improve learning outcomes.

The event also included presentations by project partners highlighting their contributions, experiences, and perspectives on the integration of innovative digital learning tools into higher education.

An interactive discussion session provided participants with an opportunity to exchange opinions, ask questions, and explore possibilities for further application and sustainability of the project results.

The virtual multiplier event successfully promoted the project's achievements to a wider academic and professional audience, strengthened international collaboration, and contributed to the dissemination, exploitation, and long-term sustainability of the PEMS-ML project outcomes.

Activity A4.5 Promotion at Conferences

Within the framework of the Erasmus+ PEMS-ML project (Personalized Education in Measurement Science and Technology Empowered by Machine Learning), project activities, results, and achievements were promoted at several national and international scientific conferences during 2025 and 2026. These dissemination activities aimed to increase project visibility, share innovative educational approaches, and strengthen collaboration among researchers, educators, and professionals in measurement science and technology.

The PEMS-ML project was promoted at several important scientific events, including:

• ICEST 2025 (International Conference on Information, Communication and Energy Systems and Technologies): The project objectives, activities, and innovative approaches to digital education in measurement science and technology were promoted to the international scientific community.

• IcETRAN 2026 (International Conference on Electrical, Electronic and Computing Engineering): The project activities and achievements were disseminated, emphasizing the integration of digital learning resources, machine learning, and personalized educational methodologies into engineering education.

• GMEE 2026: The project was promoted among researchers, educators, and professionals, highlighting its contributions to modern measurement science education and the development of innovative digital teaching and learning materials.

• ETAI 2026: Project-related scientific contributions focused on the development and evaluation of digital learning resources, modular virtual instrumentation, and AI-based personalized feedback in engineering education.

• MetroXRAINE 2026 (Chemnitz, Germany): Three scientific papers developed within the PEMS-ML project were presented, addressing attribute-based personalized feedback, AI-supported digital educational materials, and experiential microlearning approaches.

Special attention was given to promoting the 55 digital learning resources developed within the project and the personalized e-learning platform incorporating machine learning techniques. These achievements demonstrated the potential of innovative digital tools to enhance teaching effectiveness, student engagement, and personalized learning experiences in higher education.

Participation in these conferences provided opportunities to exchange knowledge and experiences, discuss innovative educational methodologies, receive feedback from the scientific community, and establish contacts for future collaboration.

Overall, conference promotion activities contributed to strengthening the national and international visibility of the PEMS-ML project, disseminating its scientific and educational achievements, and supporting the exploitation and long-term sustainability of project results.

Activity A4.6 Regular Communication with Target Groups and Stakeholders

Within the framework of the Erasmus+ PEMS-ML project (Personalized Education in Measurement Science and Technology Empowered by Machine Learning), regular communication with target groups and stakeholders was maintained throughout the project implementation period. These activities aimed to increase awareness of the project, encourage stakeholder participation, collect feedback, and ensure that the developed educational resources and methodologies respond to the needs of students, educators, and industry.

Communication activities were implemented by all three partner institutions: Ss. Cyril and Methodius University in Skopje (UKIM), Politecnico di Milano (POLIMI), and the University of Niš (UNI), through various dissemination events, workshops, round-table discussions, industry meetings, educational events, and online communication channels.

Communication with students and academic staff was established through university events, workshops, and training activities. Particular attention was given to the round-table discussion organized at the University of Niš on 6 May 2025, which gathered approximately 40 participants, including university professors, students, and industry representatives. The event provided an opportunity to discuss modern measurement education, innovative teaching methodologies, and the integration of emerging technologies such as artificial intelligence, digital twins, IoT/IIoT, and Industry 5.0 into university curricula.

Additional communication activities included presentations during university open days at UKIM, Politecnico di Milano and the University of Niš, as well as Sustainable Energy Day events at FEEIT in Skopje. These activities enabled direct interaction with university and high-school students, introducing them to the project objectives and innovative educational resources.

Communication with industry representatives was an important component of this activity. Project partners organized meetings and visits to industrial companies, including Power View in North Macedonia, ABB in Italy, and Ei Opek in Serbia. These interactions facilitated discussions on industry requirements, practical engineering competencies, and opportunities to improve educational content in accordance with current technological developments. Industry representatives provided valuable feedback regarding the relevance of the developed teaching materials and the skills required by modern engineering professionals.

Furthermore, industry dissemination events organized at FEEIT in December 2025 and at Politecnico di Milano in November 2025 strengthened collaboration between academic institutions and industrial stakeholders.

Communication with the wider educational and scientific community was supported through participation in scientific conferences, public presentations, newsletters, and online dissemination activities. The project was also presented on Macedonian National Television (MTV1) in September 2025, increasing its visibility among the general public.

Regular updates were published on the official project website and social media platforms, including Facebook and LinkedIn, providing stakeholders with information about project progress, educational resources, scientific publications, and upcoming events.

The communication process also supported the evaluation and validation of the developed educational materials and personalized learning platform. Feedback from students, academic staff, and industry representatives contributed to assessing the relevance, usability, and educational effectiveness of the project outcomes.

Overall, Activity A4.6 successfully strengthened communication between the project consortium and its target groups, promoted active stakeholder engagement, and supported the continuous improvement, dissemination, and long-term sustainability of the PEMS-ML project results.

PEMS-ML Quality Control: Positive Evaluation of Project Implementation

November 2025 | Erasmus+ PEMS-ML Project

As part of its commitment to ensuring high-quality project implementation, the Erasmus+ project “Personalized Education in Measurement Science and Technology Empowered by Machine Learning” (PEMS-ML) conducted a Periodical Quality Control Questionnaire among representatives of all three partner institutions: Ss. Cyril and Methodius University in Skopje (UKIM), Politecnico di Milano (POLIMI), and the University of Niš (UNI).

The questionnaire aimed to assess key aspects of project implementation, including communication and coordination, administrative and financial management, risk management, and dissemination activities.

A total of 11 representatives from the partner institutions participated in the evaluation, providing valuable feedback on project progress and management effectiveness.

Key Findings

The results demonstrated a high level of satisfaction with the overall implementation of the PEMS-ML project.

• Effective communication and coordination: All respondents rated coordination meetings positively, with 81.8% assigning the highest score.

• Strong project management: Participants positively evaluated the information provided by the coordinating institution, UKIM-FEEIT, and confirmed timely communication of important project information.

• Administrative and financial management: The evaluation indicated generally satisfactory administrative procedures and financial management, while identifying opportunities to improve access to project documentation.

• Risk management: No significant risks affecting successful project implementation were identified by the respondents.

• Successful dissemination activities: All respondents rated dissemination activities positively, highlighting the project website, scientific conferences, and professional networks as important communication channels.

Commitment to Continuous Improvement

The quality control results confirm satisfactory progress in project implementation and effective cooperation among consortium partners. The evaluation also identified opportunities for further improvement, particularly in centralizing project documentation, strengthening dissemination visibility, and maintaining continuous monitoring of project activities.

These findings will support the consortium in ensuring the quality, transparency, and successful achievement of the PEMS-ML project objectives.

The full Periodical Quality Control Questionnaire Report (November 2025) provides a detailed overview of the evaluation methodology, survey results, and recommendations for continuous improvement.