“…We considered five functions that stand for the fuzzy membership ones to the sets of marks. We would like to mention that in very recent years there has been a large increase in the usage of fuzzy logic in the evaluation of students' performance [16][17][18][19][20][21][22][23][24][25][26].…”
Section: Application Of the Fuzzy Set Theory In Student Assessmentmentioning
This article presents a hybrid approach to assessing students’ foreign language proficiency in a cyber–physical educational environment. It focuses on the advantages of the integrated assessment of student knowledge by considering the impact of automatic assessment, learners’ independent work, and their achievements to date. An assessment approach is described using the mathematical theory of fuzzy functions, which are employed to ensure the fair evaluation of students. The largest possible number of students whose reevaluation of test results will not affect the overall performance of the student group is automatically determined. The study also models the assessment process in the cyber–physical educational environment through the formal semantics of calculus of context-aware ambients (CCAs).
“…We considered five functions that stand for the fuzzy membership ones to the sets of marks. We would like to mention that in very recent years there has been a large increase in the usage of fuzzy logic in the evaluation of students' performance [16][17][18][19][20][21][22][23][24][25][26].…”
Section: Application Of the Fuzzy Set Theory In Student Assessmentmentioning
This article presents a hybrid approach to assessing students’ foreign language proficiency in a cyber–physical educational environment. It focuses on the advantages of the integrated assessment of student knowledge by considering the impact of automatic assessment, learners’ independent work, and their achievements to date. An assessment approach is described using the mathematical theory of fuzzy functions, which are employed to ensure the fair evaluation of students. The largest possible number of students whose reevaluation of test results will not affect the overall performance of the student group is automatically determined. The study also models the assessment process in the cyber–physical educational environment through the formal semantics of calculus of context-aware ambients (CCAs).
“…We have considered five functions that stand for the fuzzy membership ones to the sets of marks. We would like to mention that in very recent years there has been a large increase of the usage of fuzzy logic in the evaluation of students' performance [18][19][20][21][22][23][24][25][26][27][28].…”
Section: Application Of the Fuzzy Set Theory In Student Assessmentmentioning
confidence: 99%
“…In the second exam the students have received the following scores: [18,20,19,19,7,18,0,20,0,17,14,16,14,16,18,10,8,20,16,19,16,16,20,14,20,18,18,0,14,7,9,0,8,13,20,9,0,12,16,18,18,13,19,15,17,19,8,15,20,19,16,0,16,…”
Section: Illustration Of the Fuzzy Logic Usage In Recalculating Stude...mentioning
This article presents a hybrid approach to assessing students’ foreign language proficiency in a cyber-physical educational environment. It focuses on the advantages of integrated assessment of student knowledge by considering the impact of automatic assessment, learners’ independent work, and their achievements to date. An assessment approach is described using the mathematical theory of fuzzy functions, which are employed to ensure fair evaluation of students. The largest possible number of students, whose re-evaluation of test results will not affect the overall performance of the student group, is automatically determined. The study also models the assessment process in the cyber-physical educational environment through the formal semantics of calculus of context-aware ambients (CCA).
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