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Objectives: Visual expertise is essential for image-based tasks that rely on visual cues, such as in radiology or histology. Studies suggest that eye movements are related to visual expertise and can be measured by near-infrared eye-tracking. With the popularity of device-embedded webcam eye-tracking technology, cost-effective use in educational contexts has recently become amenable. This study investigated the feasibility of such methodology in a curricular online-only histology course during the 2021 summer term.Methods: At two timepoints (t1 and t2), third-semester medical students were asked to diagnose a series of histological slides while their eye movements were recorded. Students’ eye metrics, performance and behavioral measures were analyzed using variance analyses and multiple regression models.Results: First, webcam-eye tracking provided eye movement data with satisfactory quality (=115.7 px±31.1). Second, the eye movement metrics reflected the students’ proficiency in finding relevant image sections (=6.96±1.56 vs. irrelevant areas=4.50±1.25). Third, students’ eye movement metrics successfully predicted their performance (R=0.39, p