Georgetown University's Dr. Qiwei He presented at #PurdueEDU's inaugural Craft Data Science Insights miniseries on AI in Education. She discussed how the increased use of computer-based assessments brings a great opportunity to track process data to gain a deeper insight about
respondents’ test-taking behavioral patterns and problem-solving strategies. The fine-grained process data are often in complex and multidimensional forms that call for data mining methods in addition to classical psychometric models. She gave a brief overview about why and how to use process data in digital-based large-sale assessments with a variety of sequence mining methods, such as n-grams model, sequence similarity measures, and latent sequence modeling. These studies aim to leverage sequential process data in large-scale assessments to assist in understanding how respondents interact with the items administered, enhance latent ability estimation, improve validity of conclusions, and facilitate cross-national comparisons.
Dr. Qiwei He is an associate professor and director of the AI-Measurement and Data Science Lab, Data Science and Analytics Program, Georgetown University.
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