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  • 标题:Assessing Students’ Mathematical Knowledge with Fuzzy Logic
  • 本地全文:下载
  • 作者:Daniel Doz ; Darjo Felda ; Mara Cotič
  • 期刊名称:Education Sciences
  • 电子版ISSN:2227-7102
  • 出版年度:2022
  • 卷号:12
  • 期号:4
  • 页码:1-17
  • DOI:10.3390/educsci12040266
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Assessing student mathematical knowledge is an important factor in the mathematics learning process because students obtain important feedback to improve their knowledge and learning. Despite the importance of student assessment, several researchers have shown that student grades comprise noncognitive and metacognitive factors and teachers’ prejudices and beliefs. One method to obtain a more objective view of student mathematical knowledge is through standardized assessments. In this paper, we analyze two methods of assessing student mathematical knowledge by considering their written and oral grades and achievements on the Italian National Assessment of Knowledge (INVALSI). The final grade was produced using the fuzzy logic inference system. It was tested on a sample of 2279 Grade 13 Italian high school students, who had both an oral and written grade in mathematics and who took the INVALSI assessment in the school year 2020–2021. Both tested fuzzy-logic-based assessment methods lowered the mean grades.
  • 关键词:mathematics;fuzzy logic;assessment;INVALSI;grades
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