Keystroke-level analysis to estimate time to process pages in online learning environments

It is challenging for students to plan their work sessions in online environments, as it is very difficult to make estimates on how much material there is to cover. In order to simplify this estimation, we have extended the Keystroke-level analysis model with individual reading speed of text, figures, and questions. This was used to estimate how long students might take to work through pages in an online learning environment. The estimates from the model were compared to data collected from 902 volunteer students. Despite the huge differences in reported reading speeds between students, the presented model performs reasonably well and could be used to give learners feedback on how long it takes to work through pages in online learning environments. This feedback could be used to support students’ motivation and effort regulation as they work through online course components. Although the model performs reasonably well, we propose giving feedback in the form of intervals to indicate the uncertainty of the estimates.