Mapping the Future Curriculum: Adopting Artificial Intelligence and Analytics in Forecasting Competence Needs
Ketamo, Harri; Moisio, Anu; Passi-Rauste, Anu; Alamäki, Ari (2019)
Ketamo, Harri
Moisio, Anu
Passi-Rauste, Anu
Alamäki, Ari
Editoija
Massiamo Sargiacomo
Academic Conference Publishing International
2019
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2019053117966
https://urn.fi/URN:NBN:fi-fe2019053117966
Tiivistelmä
One of the biggest challenges in the design of a work-related curriculum is to make sure that the curriculum is up-to-date and uses the same vocabulary as the work setting. This may sound easy, but if almost any curriculum is written in an academic language and at the same time may lack terms that provide the most value to students seeking jobs.
In collaboration with the Helsinki Metropolitan Area Universities of Applied Sciences (3AMK) and Headai Ltd., we are applying cognitive AI, big data and natural language processing to build real-time understanding of skills, competencies, knowledge and abilities that workplaces seek. This knowledge is visualized as maps that enable us to: i) understand what skills are needed now and in the near future, ii) guide up-to-date curriculum development, iii) advice students on their course selection and iv) gain an understanding to improve the competitive offering of universities. We are working on tools and methods using AI for labour market analysis and curriculum development, and for integrating intellectual capital in the strategic thinking of the universities of applied sciences.
The very first competence maps, comparing the competence demand of the Helsinki Metropolitan area labour market with the supply of competence from the three universities of applied sciences, provided a very crucial result. The professional language - the competence definitions - of work setting differs in many respects from the wording used at universities. We need to study this gap in more detail within the fields of education the universities represent. If universities use different definitions for competences than workplaces, how can students make sense of all these definitions when seeking employment? There is a need to build ecosystems within and across different industries to initiate the discussions needed in the workplaces of today and for the future.
In collaboration with the Helsinki Metropolitan Area Universities of Applied Sciences (3AMK) and Headai Ltd., we are applying cognitive AI, big data and natural language processing to build real-time understanding of skills, competencies, knowledge and abilities that workplaces seek. This knowledge is visualized as maps that enable us to: i) understand what skills are needed now and in the near future, ii) guide up-to-date curriculum development, iii) advice students on their course selection and iv) gain an understanding to improve the competitive offering of universities. We are working on tools and methods using AI for labour market analysis and curriculum development, and for integrating intellectual capital in the strategic thinking of the universities of applied sciences.
The very first competence maps, comparing the competence demand of the Helsinki Metropolitan area labour market with the supply of competence from the three universities of applied sciences, provided a very crucial result. The professional language - the competence definitions - of work setting differs in many respects from the wording used at universities. We need to study this gap in more detail within the fields of education the universities represent. If universities use different definitions for competences than workplaces, how can students make sense of all these definitions when seeking employment? There is a need to build ecosystems within and across different industries to initiate the discussions needed in the workplaces of today and for the future.