As a follow-up to a study published earlier in 2016, I have another research article examining student behavior in self-paced courses…
See the out of sequence article for some background and previous work…
In this latest article, I looked at three measures of student delay behavior (is it delay or procrastination? That’s a whole field of study too!):
- the days between registration date and first date of assignment submission (Days to Start)
- the average days between assignment submissions (Days between Assignments)
- total days between registration and completion (Days to Complete)
Of these three, the average length of time between assignment submissions was found to be most useful to predict final letter grade and withdrawal. Students with shorter amounts of time between assignments were more likely to complete successfully.
Check out the full article online in the Distance Education journal.
While one could argue that an instructor is needed to keep students’ on pace, some of the students in this study did very well on keeping a regular pace. That self-regulation skill is critical for life, don’t you think? Good to learn and practice.
What do you think?
Do you think that learning analytics such as this, watching student behavior in an online course, is useful for predicting completion? useful for planning interventions for students not doing so well? Is it intrusive or useful? Should we try to find a threshold for success? If we did, what interventions might be appropriate? What questions does this result raise in your mind? Please comment.