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Kamali N. Sripathi; Rosa A. Moscarella; Matthew Steele; Rachel Yoho; Hyesun You; Luanna B. Prevost; Mark Urban-Lurain; John Merrill; Kevin C. Haudek – Journal of Mixed Methods Research, 2024
Assessing student knowledge based on their writing using traditional qualitative methods is time-consuming. To improve speed and consistency of text analysis, we present our mixed methods development of a machine learning predictive model to analyze student writing. Our approach involves two stages: first an exploratory sequential design, and…
Descriptors: Artificial Intelligence, Mixed Methods Research, Student Writing Models, Biology
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Charlotte H. Müller; Markus Reiher; Manu Kapur – Journal of Computer Assisted Learning, 2024
Background: Haptic feedback has been shown to be an effective facilitator of the learning of scientific concepts in a series of studies. However, little is known about the underlying salient learning mechanisms, which are activated when learning from haptic feedback. Objectives: We investigate the learning mechanism in a higher chemistry education…
Descriptors: Quantum Mechanics, Chemistry, Feedback (Response), Cognitive Processes