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Article

Interactive Planning of Competency-Driven University Teaching Staff Allocation

1
Faculty of Electronics and Computer Science, Koszalin University of Technology, ul. Śniadeckich 2, 75-453 Koszalin, Poland
2
Department of Information Systems, Kielce University of Technology, Al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce Poland
3
Faculty of Mechanical Engineering, Lublin University of Technology, ul. Nadbystrzycka 36, 20-618 Lublin, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(14), 4894; https://doi.org/10.3390/app10144894
Received: 21 June 2020 / Revised: 10 July 2020 / Accepted: 11 July 2020 / Published: 16 July 2020
(This article belongs to the Special Issue Emerging Artificial Intelligence (AI) Technologies for Learning)
This paper focuses on a teacher allocation problem that is specifically concerned with assigning available academic lecturers to remaining courses from a given student curriculum. The teachers are linked to tasks according to competencies, competence requirements enforced by the curriculum as well as the number and type of disruptions that hamper the fulfilment of courses. The problem under consideration boils down to searching links between competencies possessed by teachers and competencies required by the curricula that will, firstly, balance student needs and teacher workload and, secondly, ensure an assumed robustness level of the teaching schedule. The implemented interactive method performs iterative solving of analysis and synthesis problems concerned with alternative evaluation/robustness of the competency framework. Its performance is evaluated against a set of real historical data and arbitrarily selected sets of disruptions. The computational results indicate that our method yields better solutions compared to the manual allocation by the university. View Full-Text
Keywords: interactive planning; competency framework; teacher assignment; robustness interactive planning; competency framework; teacher assignment; robustness
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MDPI and ACS Style

Szwarc, E.; Wikarek, J.; Gola, A.; Bocewicz, G.; Banaszak, Z. Interactive Planning of Competency-Driven University Teaching Staff Allocation. Appl. Sci. 2020, 10, 4894. https://doi.org/10.3390/app10144894

AMA Style

Szwarc E, Wikarek J, Gola A, Bocewicz G, Banaszak Z. Interactive Planning of Competency-Driven University Teaching Staff Allocation. Applied Sciences. 2020; 10(14):4894. https://doi.org/10.3390/app10144894

Chicago/Turabian Style

Szwarc, Eryk, Jaroslaw Wikarek, Arkadiusz Gola, Grzegorz Bocewicz, and Zbigniew Banaszak. 2020. "Interactive Planning of Competency-Driven University Teaching Staff Allocation" Applied Sciences 10, no. 14: 4894. https://doi.org/10.3390/app10144894

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