[HTML][HTML] Automatic assessment of text-based responses in post-secondary education: A systematic review
Text-based open-ended questions in academic formative and summative assessments help
students become deep learners and prepare them to understand concepts for a subsequent …
students become deep learners and prepare them to understand concepts for a subsequent …
Applying machine learning in science assessment: a systematic review
Machine learning (ML) is an emergent computerised technology that relies on algorithms
built by 'learning'from training data rather than 'instruction', which holds great potential to …
built by 'learning'from training data rather than 'instruction', which holds great potential to …
AI and formative assessment: The train has left the station
Abstract In response to Li, Reigh, He, and Miller's commentary, Can we and should we use
artificial intelligence for formative assessment in science, we argue that artificial intelligence …
artificial intelligence for formative assessment in science, we argue that artificial intelligence …
Applying machine learning to automatically assess scientific models
Involving students in scientific modeling practice is one of the most effective approaches to
achieving the next generation science education learning goals. Given the complexity and …
achieving the next generation science education learning goals. Given the complexity and …
The effect of automated feedback on revision behavior and learning gains in formative assessment of scientific argument writing
Application of new automated scoring technologies, such as natural language processing
and machine learning, makes it possible to provide automated feedback on students' short …
and machine learning, makes it possible to provide automated feedback on students' short …
From substitution to redefinition: A framework of machine learning‐based science assessment
This study develops a framework to conceptualize the use and evolution of machine
learning (ML) in science assessment. We systematically reviewed 47 studies that applied …
learning (ML) in science assessment. We systematically reviewed 47 studies that applied …
Using automated analysis to assess middle school students' competence with scientific argumentation
CD Wilson, KC Haudek, JF Osborne… - Journal of Research …, 2024 - Wiley Online Library
Abstract Argumentation is fundamental to science education, both as a prominent feature of
scientific reasoning and as an effective mode of learning—a perspective reflected in …
scientific reasoning and as an effective mode of learning—a perspective reflected in …
The interactive reading task: Transformer-based automatic item generation
Automatic item generation (AIG) has the potential to greatly expand the number of items for
educational assessments, while simultaneously allowing for a more construct-driven …
educational assessments, while simultaneously allowing for a more construct-driven …
Moving towards engaged learning in STEM domains; there is no simple answer, but clearly a road ahead
T de Jong - Journal of computer assisted learning, 2019 - Wiley Online Library
What is the best approach to educating students is, evidently, the pivotal question in
educational research. In the general debate on this question, clear positions are often …
educational research. In the general debate on this question, clear positions are often …
Integrating artificial intelligence-based methods into qualitative research in physics education research: A case for computational grounded theory
[This paper is part of the Focused Collection on Qualitative Methods in PER: A Critical
Examination.] Qualitative research methods have provided key insights in physics education …
Examination.] Qualitative research methods have provided key insights in physics education …