“…Despite the active collaboration, research has indicated gaps between skill requirements of the job market and the skills taught in institutions of higher education (see e.g. Boronina et al [5]). There is no shortage of studies on how to overcome this gap.…”
Finnish IT companies are facing a shortage of software engineers in several fields of software development. The field evolves quickly as new technologies emerge, as processing power of computers grows and as data available for processing becomes abundant. How can a university of applied sciences keep its teaching relevant from the point of view of companies that need personnel with new skills and knowledge? How do the teachers keep their own professional knowledge and skills up to date to be able to pass the knowledge and skills on to their students? How do the educational institutions know what kind of skills and knowledge the employers need in the first place? This paper presents a model for tackling the above-mentioned challenges in the context of university level education of future and current IT-professionals. The model has been tested in the teaching of artificial intelligence to undergraduate students of business information technology. Experiences from the implementations of the model have been gathered and analysed. The results show that the model clearly is a success among all stakeholders. The main novelty of the model is that it allows the dynamic and timely adjustment of curricula when new skill and knowledge requirements arise from the industry.
“…Despite the active collaboration, research has indicated gaps between skill requirements of the job market and the skills taught in institutions of higher education (see e.g. Boronina et al [5]). There is no shortage of studies on how to overcome this gap.…”
Finnish IT companies are facing a shortage of software engineers in several fields of software development. The field evolves quickly as new technologies emerge, as processing power of computers grows and as data available for processing becomes abundant. How can a university of applied sciences keep its teaching relevant from the point of view of companies that need personnel with new skills and knowledge? How do the teachers keep their own professional knowledge and skills up to date to be able to pass the knowledge and skills on to their students? How do the educational institutions know what kind of skills and knowledge the employers need in the first place? This paper presents a model for tackling the above-mentioned challenges in the context of university level education of future and current IT-professionals. The model has been tested in the teaching of artificial intelligence to undergraduate students of business information technology. Experiences from the implementations of the model have been gathered and analysed. The results show that the model clearly is a success among all stakeholders. The main novelty of the model is that it allows the dynamic and timely adjustment of curricula when new skill and knowledge requirements arise from the industry.
“…All the questions you need to answer "Yes" or "No". The key to the Orlov testquestionnaire is as follows: answers "Yes" to questions: 2, 6, 7, 8, 14, 16, 18, 19, 21, 22; answers "No" to questions: 1, 3,4,5,9,11,12,13,15,17,20.…”
Section: Fig 2 Communication Unit In External Enclosurementioning
confidence: 99%
“…Colleagues from Ulyanovsk State Tech University consider enhance the competences of trainees (students and employees) through the development and implementation of methods, models and tools for project solutions' analysis, and through the formation of personalized training on basis of the uniform intelligent project repository [8]. The article [9] summarizes regional research, tracking the changes occurring in the technical universities of Sverdlovsk region in connection with the ongoing modernization of education. It evaluated such an important aspect of modernization, as the interaction of education and industry.…”
The article deals with the issues of motivation of students of technical universities to professional activity by means of industrial practices. The con-cept of industrial practice is considered, the goals, tasks, and functions of students' practical training in the specialty "Radio Engineering" are clarified. The peculiarities of the practice organization are noted. Based on the results of the diagnostic study, the authors conclude that the origin of students' in-dustrial practice contributes to an increase in the level of need for success. The learning process becomes more interesting, emotionally and personally significant.
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