By observing students' patterns of behaviour online, could we help them learn more effectively?
We used clinical interviews and two paper and pencil instruments (one open-response and one multiple-choice) to investigate the use of non-adaptive and adaptive factors in undergraduate students' patterns of evolutionary reasoning.
Section two investigated both students' patterns of podcast use and their perceptions of the usefulness of the podcasts.
Using his technique, researchers can explore how better schools maximize the learning that exceeds students' normal patterns of growth.
In conclusion, students' practice patterns shift from just-in-time learning to a longitudinal self-directed approach during the first three years of the curriculum.
Valkenburg's (1998) representational system was then used to visually display students' decision-making over time in terms of observable student design patterns.
Finally, we used Valkenburg's (1998) representational system to visually display students' decision-making over time in terms of observable student design patterns.
Further analysis of individual student patterns revealed that students who were initially categorized as disengaged often fit this classification at the end of the semester, while students who fit the surface category either shifted to disengaged or remained surface.
The data set represents students' movement pattern and therefore has been used as a social-based movement pattern.
