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Bridging the Gap Between Qualitative and Quantitative Assessment in Science Education Research with Machine Learning โ€” A Case for Pretrained Language Models-Based Clustering

Bridging the Gap Between Qualitative and Quantitative Assessment in Science Education Research with Machine Learning โ€” A Case for Pretrained Language Models-Based Clustering

Abstract Science education researchers typically face a trade-off between more quantitatively oriented confirmatory testing of hypotheses, or more qualitatively oriented exploration of novel hypotheses. More recently, open-ended, constructed response items were used to combine both approaches and advance assessment of complex science-related skills and competencies. For example, research in assessing โ€ฆ