首页|Studies in the Area of Machine Learning Reported from Justus-Liebig-University ( Beyond Language Barriers:Allowing Multiple Languages In Postsecondary Chemistry Classes Through Multilingual Machine Learning)
Studies in the Area of Machine Learning Reported from Justus-Liebig-University ( Beyond Language Barriers:Allowing Multiple Languages In Postsecondary Chemistry Classes Through Multilingual Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report.According to news reporting originating from Giessen,Ge rmany,by NewsRx correspondents,research stated,"Students who learn the langua ge of instruction as an additional language represent a heterogeneous group with varying linguistic and cultural backgrounds,contributing to classroom diversit y.Because of the manifold challenges these students encounter while learning th e language of instruction,additional barriers arise for them when engaging in c hemistry classes." Financial supporters for this research include Projekt DEAL,Verband der Chemisc hen Industrie (German Chemical Industry Association).Our news editors obtained a quote from the research from Justus-Liebig-Universit y,"Adapting teaching practices to the language skills of these students,for in stance,in formative assessments,is essential to promote equity and inclusivity in chemistry learning.For this reason,novel educational practices are needed to meet each student's unique set of language capabilities,irrespective of cour se size.In this study,we propose and validate several approaches to allow unde rgraduate chemistry students who are not yet fluent in the language of instructi on to complete a formative assessment in their preferred language.A technically easy-to-implement option for instructors is to use translation tools to transla te students' reasoning in any language into the instructor's language.Besides,instructors could also establish multilingual machine learning models capable of automatically analyzing students' reasoning regardless of the applied language.Herein,we evaluated both opportunities by comparing the reliability of three t ranslation tools and determining the degree to which multilingual machine learni ng models can simultaneously assess written arguments in different languages."
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