A dataset on the use of online video by students at the in-video level

TL;DR

This paper introduces a dataset tracking how students interact with educational videos in STEM courses over ten years.

Contribution

The dataset provides detailed learning analytics for video playback across multiple courses and languages.

Findings

The dataset includes 35 videos with 40,453 sessions and 313,724 records.

Timestamped transcriptions are provided in the original language and English.

It supports research in learning analytics and educational data mining.

Abstract

The present manuscript describes a dataset containing learning analytics data for the playback of learning materials in video format in different college courses in the STEM field, across a period of ten years. It can be used to test hypothesis and tools regarding the use of video in different learning environments, and should be of interest to the learning analytics and educational data mining communities. It can also be of help to teachers and other stakeholders in the educational process to take decisions based on learners actions when playing videos. It consists of data for 35 different videos, with a total of 40,453 sessions, and 313,724 records. The videos are accompanied by their timestamped transcription, both in the original language and their translation into English.