{"title":"Matematik Eğitiminde Parametre İndirgeme ile Nano Topoloji Tabanlı Bir Değerlendirme","authors":"Selçuk Topal, Yunus Emre Akürek, Volkan Duran","doi":"10.57135/jier.1147629","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to compare eight evaluations and is to give an assessment in mathematics education via nano-topology. The effectiveness of the nano-topology method is evaluated by learning readiness, in-class performance, responsibility, parental awareness, behaviour, interest, success points at the end of the term, and exam points. Despite the lack of a theoretical contribution, the study provides insight into the use of nano-topology in parameter reduction. In this regard, it is suggested that similar evaluations can be made using traditional statistical methods and machine learning techniques.","PeriodicalId":148928,"journal":{"name":"Disiplinlerarası Eğitim Araştırmaları Dergisi","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Disiplinlerarası Eğitim Araştırmaları Dergisi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.57135/jier.1147629","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The purpose of this study is to compare eight evaluations and is to give an assessment in mathematics education via nano-topology. The effectiveness of the nano-topology method is evaluated by learning readiness, in-class performance, responsibility, parental awareness, behaviour, interest, success points at the end of the term, and exam points. Despite the lack of a theoretical contribution, the study provides insight into the use of nano-topology in parameter reduction. In this regard, it is suggested that similar evaluations can be made using traditional statistical methods and machine learning techniques.