ALGORITHM FOR TEACHING STAFF SELECTION IN PROFESSIONAL TRAINING COURSES, APPLYING MULTICRITERIA DECISION-MAKING TECHNIQUES
1 Universidad Nacional de Educación a Distancia (SPAIN)
2 Universidad Politécnica of Madrid (SPAIN)
About this paper:
Conference name: 13th International Conference on Education and New Learning Technologies
Dates: 5-6 July, 2021
Location: Online Conference
Abstract:Training is the process to develop skills, habits, knowledge and attitudes in employees, to increase their effectiveness as well as preparing them for a future position in companies. Taking this into account, it is an important need for companies to train their work teams by the appropriate training courses. A correct selection of trainers will be the key of any business improve. With training we can foster human resources in harmony with inside and outside organizational changes. In this way it will be achieved active and motivated employees that can facilitate the achievement of goals and prevent cost-wasting in companies.
This research proposed an algorithm that will allow to obtain the weigh vector to select criteria of the most suitable teaching teams, to transmit employees the required knowledges to achieve better preparation than competitors. In order to highlight the usefulness of the calculation algorithm proposed, we are going to apply it to obtain a weight vector that allows to weigh the criteria of employees in the selection of a Master´s teaching teams.
Taking this into account, ought to the high cardinality of the possible set of teaching teams of professional training courses, and given the utility of the comparison by pairs matrixes (MCP), it will be possible to obtain the weight vector of the criteria in any decision problem,
So this research proposed the construction of an algorithm using comparison matrixes by consistent pairs, which allows with a reduced computational effort, to select the most suitable training team.
These teams can transmit, in an optimal way, the employees´ knowledge to increase professional opportunities in business sectors.
Keywords: Training, multicriteria-decision problems, matrix comparison, algorithm