Inhaltszusammenfassung

This paper proposes a modular, open, and cross-domain automatic assessment tool for Science Technology Engineering Mathematics (STEM) education named Modular Automatic Assessment Tool for STEM Education (MAATSE), that can be integrated with existing learning management systems. Our tool aims to provide personalized and timely feedback for formative assessment, which is critical for self-directed learning. Over five months (09/2022-01/2023), we tested and evaluated the prototype tool in a comp...This paper proposes a modular, open, and cross-domain automatic assessment tool for Science Technology Engineering Mathematics (STEM) education named Modular Automatic Assessment Tool for STEM Education (MAATSE), that can be integrated with existing learning management systems. Our tool aims to provide personalized and timely feedback for formative assessment, which is critical for self-directed learning. Over five months (09/2022-01/2023), we tested and evaluated the prototype tool in a computer science course with students. The positive results suggest that the tool can support educators teaching novice STEM students. We discuss our approach from technological, learning, and teaching perspectives. It is suitable for semester use but not to replace educators. The proposed tool can help address infrastructure issues and difficulties in creating automated assessment tools in STEM education.» weiterlesen» einklappen

Autoren

Klassifikation

DFG Fachgebiet:
Erziehungswissenschaft und Bildungsforschung

DDC Sachgruppe:
Erziehung, Schul- und Bildungswesen