AI4PPP – Artificial Intelligence for People, Plant and Profit


Project manager at SASS: assist. Janja Lozar

Action: Erasmus+ KA220 HED, Cooperation partnership in higher education
Project duration: 36 months
Project start: 1.1.2022
Project end: 31.12.2024

Algebra University College (Visoko učilište Algebra), Hrvaška
SASS – School of Advanced Social Studies, Slovenia
Universidad de Alcala, Španija

Project web page:

Project description

AI4PPP is an interdisciplinary project designed to meet challenges of the modern educations system and challenging market needs, by providing an awareness-raising, holistic and flexible education in business aspects of AI. We expect that improved educational and training modules in AI together with guidelines, to be implemented and used by partner organizations and other relevant HEIs. This will help in adopting an AI-based mentality powered by piloting and simulating AI processes. By implementing scenarios of AI into selected industries, the project will elaborate guidelines for improvements in usage of AI methodologies and tools in business having backpropagation elements to be used in education and by doing so will popularize AI within a various and especially non-technical sector (i.e. social sciences and humanities).

Project main aim

The objective of AI4PPP is to provide to our target groups not only a basic understanding of AI, the language surrounding the technological and social aspects of AI, but also to show how it works and to show the potential of its future implementations in all professions and industries.


Partners will carry out a wide range of activities in order to implement a well-rounded, high value transferable educational and training programme in AI through (i) comprehensive DACUM analysis in order to proof trends and skills used and needed among relevant AI professionals; (ii) development of educational modules, (iii) adaptation and creation of teaching contents and materials according to established needs of the target groups,(iv) piloting the newly developed modules and materials, (v) implementing scenarios of AI application in selected industries, and (vi) finally make all preparations for AI educational program to be certified using micro-credentials approach/concept

Project news:

As part of the outcome of Project 4, the project partners have developed educational materials that represent an additional step towards achieving the main goal of the project – to provide an innovative and transferable AI training programme for non-C level technology leaders and those who will become one.

The learning materials present useful business examples that show the practical introduction of artificial intelligence in specific industries, which will lead students to understand theoretical aspects focused on understanding artificial intelligence technology and its potential to introduce innovations and improvements into everyday business environment. Educational materials are developed for adoption during lectures with MBA students and MA business students.

As the end result, 9 comprehensive training modules have been developed, each of which represents one business case and covers 20 school hours. In this way, the educational modules represent a ready-to-use open educational material that will provide professors and students with all the materials necessary for the successful implementation of the teaching/learning process – the following types of learning materials are developed within each module:

  1. Teaching scenarios – provide professors/lecturers with detailed information on school progress, student assignments and duration, as well as provide guidance on their implementation and valuable comments
  2. Teaching materials – intended for professors/lecturers in order to improve the learning process and facilitate the implementation of the modules
  3. Learning materials – designed for students to enrich the learning process and make the lesson more practical and project-oriented

Educational materials are prepared as “standard” materials that could be used to create new or improve existing study programmes in higher education or adult training. Within the framework of the AI4PPP project, we have developed three modules at our faculty:

The use of AI in tourism:

The future of drivers in autonomous vehicles:

Supply Chain Management and AI:

As part of this project result, the project partners have developed a curriculum that offers ideas that can improve the way current teaching in higher education takes place in the MBA and MA Business student population, which are extremely value-oriented.

This project will include three main curriculum tasks: the curriculum, which serves as a contract, the curriculum, the permanent document, and the curriculum as a curriculum. The curriculum serves as a contract between the instructor and the students, clearly describing the details of the program. It is designed to communicate content, purpose and goals.  A learning-focused curriculum is one that focuses on students and what they need to make learning effective. Such a curriculum will provide students with more useful information in addition to the aforementioned contractual and documentary material. It will provide students with information on task planning, performance evaluation, and time and resource scheduling. This will help students develop organizing skills that are useful even outside of an individual subject. In addition, the plan will provide guidance for learning in the course, assessing readiness to work in the course, and opportunities for assistance. It will also help to understand the course content in the context of the student’s study program. Finally, the curriculum will serve students as a model of professional thinking and writing. Our special attention and the separate result of the curriculum project represent the importance of this task in terms of both academic and advisory value. Since AI is a very vague topic for most, curricula will be the first point of contact on the road to effective AI education.


DACUM (Developing A Curriculum) is a fast but well-established job analysis technique. The DACUM procedure is used to determine the competences to be addressed in the training curriculum for a particular profession. DACUM is used to develop job profiles for all types of occupations, including top managers and specialized jobs. This cost-effective technique has been validated by research and compares very positively with other methods of workplace analysis.

DACUM is based on three premisses:

  1. Professionals can better describe their work than anyone else.
  2. each workplace can be effectively described by the competences or tasks performed by successful workers in that profession,
  3. The specific knowledge, skills, attitudes and tools necessary for workers to perform their tasks properly may also be described.

Therefore, AI4PPP project partners conducted DACUM analysis with non-ICT high-level managers from various industries in Croatia, Slovenia and Spain. On this basis, a final document on the DACUM analysis was drawn up, which will largely serve partners in the next phases of the project, especially for curricula and the development of educational materials.


In order to ensure a comprehensive, high-quality educational curriculum in AI, it was necessary to explore what educational curricula in higher education institutions (in particular MBAs) and other educational providers in partner countries already offer, and on the other hand to analyse current market needs in terms of competences and experiences required for professions using AI.

Project output 1 therefore focused on producing a detailed report reviewing the challenges different stakeholders face in approaching AI, with the aim of describing the potential of AI and the steps needed to successfully implement curricula in higher education institutions and the business sector and identify educational needs, with the aim of filling the gap.

For organizations to be successful and competent, they need to create a competitive advantage, and this project will offer training for professionals among MBA candidates or decision makers already at the C level to gain an advantage by transforming business processes to achieve real, tangible results.

This result provides a background for designing and structuring curricula, educational materials and pilot cases, which are envisaged in the next steps.


On 24th of March 2022 the Project Partners’ Meeting took place the. During the first meeting, the partners of consortium have discussed aspects of the Project Management and the preparation of the Gap Analysis – in order to understand the AI potential in each of the partner countries.