Use of Soft sets and the Bloom's Taxonomy for Assessing Learning Skills

Transactions on Fuzzy Sets and Systems

مقاله 8، دوره 1، شماره 1، مرداد 2022، صفحه 106-113   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30495/tfss.2022.690594

نویسنده

Michael Gr. Voskoglou^*

Department of Mathematical Sciences, Graduate Technological Educational Institute of Western Greece, Meg. Alexandrou 1, 263 34 Patras, Greece.

چکیده

Learning‎, ‎a universal process that all individuals experience‎, ‎is a fundamental‎ ‎component of human cognition‎. ‎It combines cognitive‎, ‎emotional and environmental‎ ‎influences for acquiring or enhancing one’s knowledge and skills‎. ‎Volumes of‎ ‎research have been written about learning and many theories have been developed for‎ ‎the description of its mechanisms‎. ‎The goal was to understand objectively how people‎ ‎learn and then develop teaching approaches accordingly‎. ‎In this paper soft sets‎, ‎a‎ ‎generalization of fuzzy sets introduced in $1999$ by D‎. ‎Molodstov as a new‎ ‎mathematical tool for dealing with the uncertainty in a parametric manner‎, ‎are used‎ ‎for assessing student learning skills with the help of the Bloom’s taxonomy‎. ‎Bloom’s‎ ‎taxonomy has been applied and is still applied by generations of teachers as a teaching‎ ‎tool to help balance assessment by ensuring that all orders of thinking are exercised in‎ ‎student learning‎. ‎The innovative assessment method introduced in this paper is very‎ ‎useful when the assessment has qualitative rather than quantitative characteristics‎. ‎A‎ ‎classroom application is also presented illustrating its applicability under real‎ ‎conditions‎.

کلیدواژه‌ها

Fuzzy sets؛ Soft sets؛ Learning؛ Blooms taxonomy؛ Assessment methods

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