Skills Education 2020
Skills Education 2020 consists of an investment and development project that form a complementary whole.
The projects are:
Investment project A75113 Skills education 2020 – digital teaching technology in operator professions
The project is funded by the European Regional Development Fund (ERDF). The project has a budget of EUR 1,400,000, of which EUR 980,000 is ERDF support.
The implementation period of the project is 1.8.2019-30.06.2022.
Development project S21714 Skills education in 2020 operator occupations
The project is funded by the European Social Fund (ESF). The budget for the project is EUR 553,500, of which EUR 387,450 is ESF support.
The implementation period of the project is 1.1.2020-31.12.2022.
Objectives of the projects
The aim of the investment project is to develop and build digital teaching technology for Riveria’s operator training in the forestry, construction and mining sectors. The aim of the development project is to develop and commercialize the training services of a forest machine operator, construction machine operator and miner preparing for Riveria’s operator professions, and to harmonize the measurement and analysis capabilities of learning environments to identify gaps in student planning
Measures to support the objectives by project:
Investment project A75113 Skills education 2020 – digital teaching technology in operator professions
1. The simulator field at the Riveria Valtimo site will be converted into an off-road roadway for measuring skills and developing the working methods of a forest machine operator. To support the operation of the training field, one new electric forest machine field simulator and one forwarder will be acquired.
2. A mobile training environment will be built at the Jukolankatu office of the Riveria Joensuu unit, which will include a tractor and a simulator / training trailer. The trailer is equipped with a construction simulator and training facilities and accessories suitable for off-road use. One excavator and a wheel loader will be procured to enhance on-site training. Additional simulators for the training environment will be acquired with funding from the Otsakorpi Foundation.
3. New and existing machinery and equipment shall be equipped with sensing and data collection and analysis software to measure driver performance in the forestry, construction and mining sectors. The aim is to harmonize the data collection features of work machines between professions.
The investments will make ordinary work machines suitable for teaching so that they provide information relevant to the assessment of competence and learning. In addition to the construction and forestry sectors, the learning environments developed in the project will be piloted and tested in the training of the Riveria mining industry and in the further training of operators already in the profession.
Development project S21714 Skills education in 2020 operator occupations
1. Determining the information required to teach the skills required for the job and to identify and describe the competence.
2. Analysis of work-related data and development of work processes- Establish a method for determining the driver’s skill level based on data measured and analyzed on work performance.
3. Development of learning environments and teaching materials
4. Development of the Skills Education 2020 training concept.
Project results
– the attractiveness of training will be increased through investment in hardware and software, enabling everyone to study individually with virtual and field simulators,
– the quality of education will improve and graduates will have better working life skills,
– training can be provided on an equal and high-quality basis,
– trainings can be carried out in both Riveria’s and the partners ’(companies’) own environments
– Riveria’s education services are evolving to better meet the skills needs of companies
– new business opportunities are emerging around the measurement expertise of drivers.
The projects will help improve the quality of Riveria’s operator training. With the emerging know-how, new opportunities are created to develop and digitize teaching technology. The availability and utilization of soils and wood, as well as the ability to supply raw materials to industry, are improving. Construction, timber harvesting and long-distance transport, as well as extraction, are more economical and energy efficient.
This set of projects will expand the expertise previously acquired in Riveria’s forest sector development projects to the construction and mining sectors, and in particular deepen the use of digital technology not previously used in education in vocational training.
