Sentence examples for course interaction from inspiring English sources

Investigating a student's online behavior and course interaction to predict performance requires sophisticated algorithms and data analysis techniques.

However, results showed a conditioning × time course interaction effect [F 1, 9) = 7.18, P = 0.03].

Results showed significant main effect of time course (first day vs. second day) and conditioning × time course interaction effect [main effect of conditioning, F 1, 17) = 4.307, P = 0.053; main effect of time course, F 1, 17) = 10.317, P = 0.005; conditioning × time course interaction effect, F 1, 17) = 11.494, P = 0.003].

The subjective level of fatigue was significantly affected by time course (pre- and post-task measurement) [F 1,9) = 18.05, P < 0.001], but not by task or by a task × time course interaction effect [F 1,9) = 0.09, P = 0.766].

Following this approach, we are targeting to cope with one of the main challenges in current massive open online courses, which are expected to provide personalised education to an increasing number of students without the continuous involvement of educators in supporting learners during their course interactions.

These time course interactions indicate that the polypeptide associates with the lectin chaperones during the folding process and gradually dissociates from the native molecules remaining associated only with the incompletely folded ones.

Of course, interactions between academia and industry do carry the risk of abuse, corruption and scientific misconduct.

When all Year 3 course interactions were combined, all ten questions showed a significant improvement (P < 0.001) from pre to post.

Of course, interactions need not be limited to two-way interactions, and including higher order interactions in a logistic framework quickly increases the number of parameters to be estimated, hence further reducing efficiency.

Two-way repeated measures ANOVA of pulse rates revealed no significant effect of session (F 1,9) = 3.10, p =.112), time course (F 1,9) = 3.60, p =.090) or session × time course interactions (F 1,9) = 2.28, p =.165).

When statistically significant effects for session (relaxation and fatigue) or time course (baseline and 8 hr) and/or session × time course interactions in each value were found by two-way repeated measures analysis of variance (ANOVA), and a paired t-test was used to evaluate the significance of differences between the relaxation and fatigue sessions or between baseline and 8 hr for each session.