Eight semi-structured individual interviews were conducted with science education experts who hold leading positions pertaining to learning and instruction on the state level of the following school subjects: elementary and junior- high school science and technology; high-school physics; high school chemistry; and high school biology.
Consequently, the pre-service teachers suggested carrying out the studies on the applications of the method during their education, also they emphasized that these studies should be conducted with the primary education teachers.
This was verified in the study conducted with students of education (Athanasiou et al. 2012; Papadopoulou et al. 2011).
These studies have been directly related to, and often have also been carried out within the classroom, primarily conducted with undergraduate art education students at Indiana University of Pennsylvania (IUP).
All the ANOVA analyses for learning rate, GA, and LA were conducted again with education, age, digit span forward, digit span backward, verbal fluency, and block design scores as covariates.
Beyond that, motivation to learn may be conceptualized as a predictor of how much time individuals spend on potentially skill developing tasks at work and at home, and these analyses may be conducted with gender, levels of education, or age groups as moderators.
In Model IV (Table 4), a similar analysis was conducted with measures of learning and education.
This work presented the results of surveys conducted with visually impaired learners and educators in computing education programs.
In-depth, semi-structured interviews were conducted with eight Canadian rehabilitation researchers, educations and/or clinicians responsible for administering international internships across three clinical training programmes.
The study was designed with survey model and conducted with 302 students enrolled in secondary education.
