Ten academics, sampled from BA Hons games courses in the UK, participated in identifying what factors they each considered important to creativity in games design, and how, collectively, they rated particular skills, knowledge, talents and abilities relevant to creativity in games design.
However, given that the CAM was sensitive to differences in levels of awareness in a highly educated academic sample, it is likely that differences would be equally marked in less educated populations.
An analytical modeling, associated with an inverse procedure using the Gauss Newton parameter estimation method, allows to identify the thermal resistance on academic samples representative of the liner-engine block interface.
Comparison of the summer and academic year studies revealed that students in the academic year sample population who were given earlier access to on-demand hints had a significantly higher answer correctness percentage.
Several tests were conducted to compare individual differences between the summer and academic year sample population.
The academic year sample of students were exposed to the same experimental methodology as the summer sample.
On the other hand, the majority of the students in the academic year sample population were between grades six and eight.
There were more significant differences in help-seeking behavior between conditions in the academic year sample population compared to those in the summer sample population.
More students in the academic year sample population may have struggled with the Skill Builder, which led them not to complete it.
Students in the HE condition of the academic year sample population had a significantly higher percentage of problems answered correctly than students in the NHE condition.
On the other hand, the time allotted for students in the academic year sample was consistent with the usual time allotted for homework during the regular school year.
