Sentence examples for perceived assessment from inspiring English sources

Results indicate that students perceived assessment as the most important of the five teaching dimensions and long-term student development as least important.

To date, nearly all research on physical activity and the built environment is based on self-reported physical activity and perceived assessment of the built environment.

For example, when descending stairs we use our visually perceived assessment of stair width and depth, but also our experience of these typical attributes (as is evident when we descend stairs without looking).

For red deer, this and the correct perceived assessment of body size, is advantageous because females prefer larger body size of mates [13] and males use the formant spacing of the callers as a cue for body size during their agonistic encounters [14].

Most students and teachers perceived assessment as a major influence on the way students prepared for exams.

Both graduates and experts were asked to rate their perceived assessment on a five-point Likert scale ranging from very poor (being the lowest level of competency, scoring 1) to excellent (being the highest level, scoring 5).

Both the treatment nurse and the parents systematically underestimated the children's positive perceived assessments of the new device.

In comparing generic and disease-specific measures it has been noted that possible explanations for the disease-specific measures being more sensitive to change could relate to the fact that patients perceive assessments of overall health as independent from condition-specific assessments which tend to focus on symptoms of the condition [ 8].

Third, stepwise multiple regressions were conducted to examine the relationship between the perceived classroom assessment tasks and the perceived classroom assessment environment.

The participants perceived an assessment of vulnerability as important and mentioned factors such as chronic and acute hazards, the complexity of multi-hazard assessment and the capacity of communities to protect themselves from the impact of climate change as key considerations within vulnerability assessment.

The ML-based framework is general and can support every type of perceived quality assessment.