Evaluation model for the Qualification standard: Teacher in higher education, related to both academic title and scientific field of the teacher

Timovski, Riste and Atanasova-Pacemska, Tatjana and Iliev, Dean and Aleksov, Borco (2022) Evaluation model for the Qualification standard: Teacher in higher education, related to both academic title and scientific field of the teacher. In: TSD22 - Towards Sustainable Developement. (Submitted)

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Abstract

Research for what qualifies faculty to teach an undergraduate, graduate and PhD levels across the world shows that the profession: teacher in higher education is probably one of the least regulated professions in terms of the skillset required for a person to be able to teach. In our country, having a doctoral degree in a relevant field and the teaching / research experience are the only relevant characteristics a teacher must possess in order to be able to progress in his/her academic career. But, questions arise about all the other important skills and competences a teacher must possess, especially from the pedagogical perspective in general. Related to this, new standard for the qualification: Teacher in higher education is proposed. It refers primarily to gaining knowledges, skills and competences related to the teaching in higher education institutions, from formal, informal and non-formal point of view and all of them – improving the teacher. A research was conducted showing the current condition in terms of learning outcomes defined within the standard and related to both the academic level and the scientific field of the teachers. With processing these data into a qualitative assessment tool based on a mathematical modeling, we obtain a clear picture for the learning outcomes with highest need to be improved. The activities conducted within the research were a solid base for creation of a module towards life long learning program: professionalization of the profession: Teacher in higher education (didactical aspect).

Item Type: Conference or Workshop Item (Paper)
Subjects: Natural sciences > Computer and information sciences
Social Sciences > Educational sciences
Natural sciences > Matematics
Divisions: Faculty of Computer Science
Depositing User: Tatjana A. Pacemska
Date Deposited: 05 Feb 2023 22:18
Last Modified: 05 Feb 2023 22:18
URI: https://eprints.ugd.edu.mk/id/eprint/31352

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