Oct 27, 2019 · We find that frequency of video viewing per week is a better predictor than individual viewing features such as plays, pauses, seeking, and rate changes.
We find that frequency of video viewing per week is a better predictor than individual viewing features such as plays, pauses, seeking, and rate changes.
Oct 22, 2024 · In a MOOC organized around weekly assignments, we find that frequency of video viewing per week is a better predictor than individual viewing ...
Our algorithm predicts a MOOC student's overall course grade as he/she progresses through the course material, taking as in- put his/her prior (i) assessment ...
Missing: assignments viewing
Grade Prediction of Weekly Assignments in MOOCs: Mining Video-Viewing Behavior. Peer reviewed. Direct link.
The method consists of two-step classifications: motivation classification (MC) and grade classification (GC). The MC divides all learners into three groups ...
Grade prediction of weekly assignments in MOOCS: mining video-viewing behavior. Article. Full-text available. Mar 2020; Educ Inform Tech. David Lemay ...
This paper uses a combination of students' Week 1 assignment performance and social interaction within the MOOC to predict their final performance in the course ...
Our algorithm predicts a MOOC student's overall course grade as he/she progresses through the course material, taking as input his/her prior (i) assessment ...
Missing: assignments viewing
Oct 5, 2021 · Based on the behavior log data of learners participating in 12 courses in MOOCs, an entropy-based indicator quantifying behavior change trends is proposed.