Verified Active Learning at Scale

About Dataset

ViBe is an AI-driven platform for verified, self-paced online learning, used for national internship courses and faculty development programmes in India. This dataset releases its complete activity record for 39 course offerings, covering July 2025 to 2 October 2026. It includes 10,344 learners, 72 instructors and teaching assistants, and 14,074 enrolments, in 31 linked tables of about 25.7 million rows. The tables cover video watch sessions and seeks, quiz submissions, attempts, per-question scores and chosen answers, webcam proctoring flags, in-video emotion check-ins, feedback, content reports, learner-written questions and peer answers, study-slot bookings, mastery-credit transactions, enrolment and progress, and course settings. All identities are replaced by release codes that are consistent across tables. All timestamps are converted to days since each offering started, and all free text and names are withheld. The data supports research on engagement, assessment, attention, study regularity and course design in large-scale online learning.