Learning logs collected by digital educational systems, increasingly deployed in educational settings, include clickstream logs recorded through page transitions in teaching materials and digital marker logs recorded by drawing a marker. A challenge with these learning logs is their low temporal and spatial resolutions. This paper proposes a system that generates a high-resolution learning log (HLL) by utilizing learners' gaze information obtained through webcam-based eye tracking. We also propose methods for analyzing learners' learning-theme browsing patterns using HLL. The HLL retains the attention time of the learning-themes on the learning material and viewing time in and out of the screen. Utilizing the HLL allows learners attention transitions to be captured over time. Compared with traditional topic-based learning log analysis methods, HLL offers a more granular analysis of detailed learning theme browsing patterns. [For the full proceedings, see ED665357.]