The ETAT project aims to build 6 training centers in each Thai Partner University ready to provide certified trainings in applied to control operations and automated solutions in different fields of Industry 4.0 automation for providing certified trainings for students and young specialists (Thai enterprises) in fields important for the future development of the East Economic Corridor.

In order to achieve these objectives the main general tasks are:

  • To develop training materials and labs, incorporating the needs and competences required on the Thai market in the EEC for different training modes (WP 3, 4, 5, 6, 7, 8, 9).
  • To train future trainers ready to train students, postgraduates and engineers in 6 ETAT training centers after the end of the project (WP 6).
  • To make a business strategy for ETAT training centers (WP 9).

During the ETAT project is planned the following:

First year: Development phase

1. Needs analysis from National Resonance Groups (Thai enterprises)
Methodology: Interviews and surveys, market analysis.
Deliverables and Outcomes: Needs analysis report.

2. Designing of the ETAT Smart Lab (ESL) concept by according to different topics of Industry 4.0 automation
Methodology: Hardware content analysis of previous mobile labs from the TATU (TEMPUS) project
Deliverables and Outcomes: Concept of the ETAT Smart Lab

3. To analyze the teaching possibilities of the ETAT Smart Lab (face-to-face, hands-on mode, remote mode, mobile and E-Learning etc.).
Methodology: Hardware content analysis.
Deliverables and Outcomes: Report and scheme of teaching possibilities

MILESTONE 1: ETAT Smart Lab concept and teaching possibilities are ready (M6)

4. Assembling of 24 ETAT Smart Labs (4 per university) to equip 6 training centers
Methodology: Quality analysis of ETAT Smart Labs, structural methods.
Deliverables and Outcomes: 6 equipped training centers in 6 Thai universities.

5. Development of the structure of the courses for Thai trainers according to the requirements of the engineering pedagogy.
Methodology: Engineering pedagogy methodologies and aspects.
Deliverables and Outcomes: Courses structure for different teaching cases.

6. Developing the scheme of the trainings in order to prepare Thai trainers for ETAT Training Centers by EU university staff members (3 trainers for each university)
Methodology: Engineering pedagogy.
Deliverables and Outcomes: Scheme of training

7. International Workshop for academic staff of the Thai universities organized by P2

8. Development of teaching materials (classical and E-learning) for integration in existing courses in industrial automation according to the curricula of Thai universities in accordance to European requirements.
Methodology: Engineering pedagogy
Deliverables/Outcomes: Teaching materials (theory)

Second Year: Implementation Phase

11. Development of teaching materials (practice) for different branches from EEC (in national language); development of simulation models and practical exercises for different branches (Robotics, Traffic, Logistics, City&Home)
Methodology: Engineering pedagogy
Deliverables/Outcomes: Practical exercises according to the specific branch of each Thai university.

MILESTONE 2 : ETAT Training Centers are equipped with ETAT Smart Labs and ready for working (M15)

12. Translation of the teaching materials into national language.
Methodology: Technical translation methodologies.
Deliverables/Outcomes: ETAT teaching materials in national language.

13. Setting up of E-Learning and Collaboration platform in order to provide E-Learning courses and to share materials and information between partners.
Methodology: Analysis of LMS systems, decision making
Deliverables/Outcomes: ETAT Learning&Collaboration Platform

14. International Workshop for academic staff of the Thai universities organized by P7.

Third year: Evaluation & Improvement phase

15. 3-days-trainings for university academic staff (3/each university) and Master students (5/each university) provided by P11.

16. Development of Certificates to provide certificated ETAT courses.

17. Testing, evaluation, improvement of the quality and relevance of the teaching material
Methodology: Statistic methods, engineering pedagogy methodologies and aspects.
Deliverables/Outcomes: Graphics of relevance of learning outcomes, recommendations for revisions of teaching materials.

MILESTONE 3: Evaluation/testing of ETAT Smart Labs was executed and a report for the improvement of the education quality was finished (M31)

18. Development of business and working plan and exploitation strategy of ETAT Training Centers
Methodology: Canvas methodology (well-known method for development of new business models) and SWOT analysis
Deliverables and Outcomes: Business and working plan; re-financing and efficiency for the next 5 years

19. Development of the dissemination strategy.
Methodology: Analysis of the education in Thai HEIs for Industry 4.0/Automation Engineering


The training on Industry 4.0 automation technologies for Thai university staff should be presented as an exemplary course, which will be set-up during the project implementation phase. The trainings could be provided also to non-university teachers, could contribute to the development of partnerships with enterprises and to the development of Life-Long Learning in society at large (dissemination strategy).

In the ETAT project the experience gained from the TATU (TEMPUS) project will be used which fosters the involvement and experience of the leading European universities and companies in field of industrial automation in the Industry 4.0 era for development of new learning opportunities, instructional materials and smart laboratories. These will be directly related to Thai regional employment EEC demands. This project will enable the training and education of future Thai trainers for automation engineers, maintenance engineers, process workers and students using non classic teaching methods such as learning by doing, remote and mobile teaching.

The methodologies planned to be used in this project have an innovative character. These include together with face-to-face learning, the distance learning, mobile learning, remote trainings as well as hands-on trainings (learning by doing). The focus is strongly on real work situations and not only on theoretical examples or exercises. The proposed approach will realize the smart device concept and should be a good solution in face-to-face, remote and mobile experimentation in different Industry 4.0 technologies.