Temporal patterns of behavior from the scheduling of psychology quizzes.
Track real start times, then move open slots to match demand and cut waits.
01Research in Context
What this study did
The researchers watched when college students actually clicked to take their psychology quizzes.
They tracked every login for one semester.
Then they used that data to spread out the quiz times and cut computer-lab lines.
What they found
Most students waited until the last two days before the deadline.
This created long lines and crashed the lab computers.
After the team opened extra quiz slots at peak times, wait times dropped and crashes stopped.
How this fits with other research
Pear et al. (1984) showed the same idea works in doctor offices. They cut the wait from three weeks to one week and more patients showed up.
Billings et al. (1985) added reminders and free parking to boost pediatric visits. The quiz study shows you can also fix traffic without extra rewards—just better timing.
Kong et al. (2022) taught study skills in the same college setting. Their work reminds us that once students arrive, we still need good teaching tools.
Why it matters
You can ease any bottleneck by first watching when people actually show up. Then shift open slots to match those peaks. Try logging your learners' start times for online tasks this week.
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02At a glance
03Original abstract
Temporal patterns of behavior have been observed in real-life performances such as bill passing in the U.S. Congress, in-class studying, and quiz taking. However, the practical utility of understanding these patterns has not been evaluated. The current study demonstrated the presence of temporal patterns of quiz taking in a university-level introductory psychology course and used these patterns to manage the traffic of quiz takers in a computerized testing lab. Results are discussed in terms of the applications of tracking temporal response patterns.
Journal of applied behavior analysis, 2010 · doi:10.1901/jaba.2010.43-297