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Smart grading: A generative AI-based tool for knowledge-grounded answer evaluation in educational assessments.
Tobler, Samuel.
Afiliação
  • Tobler S; ETH Zurich, Switzerland.
MethodsX ; 12: 102531, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38204981
ABSTRACT
Evaluating text-based answers obtained in educational settings or behavioral studies is time-consuming and resource-intensive. Applying novel artificial intelligence tools such as ChatGPT might support the process. Still, currently available implementations do not allow for automated and case-specific evaluations of large numbers of student answers. To counter this limitation, we developed a flexible software and user-friendly web application that enables researchers and educators to use cutting-edge artificial intelligence technologies by providing an interface that combines large language models with options to specify questions of interest, sample solutions, and evaluation instructions for automated answer scoring. We validated the method in an empirical study and found the software with expert ratings to have high reliability. Hence, the present software constitutes a valuable tool to facilitate and enhance text-based answer evaluation.•Generative AI-enhanced software for customizable, case-specific, and automized grading of large amounts of text-based answers.•Open-source software and web application for direct implementation and adaptation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: MethodsX Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: MethodsX Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Suíça País de publicação: Holanda