For example, Marcinkiewicz (1993) examined the degree to which various personal characteristics of
teachers predict the level of their computer uses in the classroom.
Not exact matches
The psychosocial outcome receiving the most attention from researchers is problem behaviour, with most studies finding perceived negative reactivity in infancy to
predict problem behaviour in childhood33, 34 and adolescent.35 Specifically, infants prone to high
levels of fear, frustration, and sadness, as well as difficulty recovering from such distress, were found to be at increased risk for internalizing and externalizing problem behaviours according to parental and / or
teacher report.
It covers the following National Curriculum learning objectives: - develop pleasure in reading, motivation to read, vocabulary and understanding by: listening to, discussing and expressing views about a wide range of contemporary and classic poetry, stories and non-fiction at a
level beyond that at which they can read independently - becoming increasingly familiar with and retelling a wider range of stories, fairy stories and traditional tales - drawing on what they already know or on background information and vocabulary provided by the
teacher - making inferences on the basis of what is being said and done - answering and asking questions -
predicting what might happen on the basis of what has been read so far - using dictionaries to check the meaning of words that they have read - checking that the text makes sense to them, discussing their understanding, and explaining the meaning of words in context
A lot of my research came from elementary and high school
teachers, so I relied heavily on my own experience in middle
level education to
predict issues and to incorporate solutions within my model.
Specifically, we
predicted the percentage of students at the district and school
levels who score proficient or above on their state's mandated standardized tests, without using any school - specific information such as length of school day,
teacher mobility, computer - to - student ratio, etc..
The report recommended that: policy makers ensure curriculum and assessments are aligned at state, district and local
levels; districts survey
teachers on test prep activities and keep those that are highly rated, while dropping those that aren't; districts expand access to technology so students can develop skills before taking tests and
teachers can support them; and districts only use interim tests aimed at
predicting performance on end - of - the - year tests, if
teachers believe they are high - quality.
With respect to the absence of a relationship between
teachers» beliefs and student motivation, although there is good theoretical and empirical evidence to suggest that these variables could
predict student outcomes, it is also true that linking
teacher -
level beliefs to student outcomes is not a clear and straight path (Holzberger et al. in press; Klassen et al. 2011).
A two -
level hierarchical linear model (Raudenbush & Bryk, 2002) was used to examine the extent to which
teacher / classroom, school, and home variables can
predict the average classroom usage of specific technology tools.
Districts could also track, over time, the average achievement of grade -
level cohorts within schools to determine if performance changes as
predicted by the value added by
teachers who transfer into or out of schools and grades.
Collectively, the tools present the opportunity for school leaders, policymakers, and community members to consider how both school -
level achievement gains and the achievement of students with individual
teachers are
predicted by a recognizable set of school - and classroom -
level conditions.
«And I
predict as those tests rollout, we will see people start to complain that
teachers are teaching the same low
level skills they were teaching before PARCC and Smarter Balanced.»
The model
predicts optimal
teacher effort
levels decline with both tenure at a school and experience, all things being equal.
Research finds that sorting, this 21st century version of school segregation, correlates strongly with student race and economic status and
predicts and contributes to student outcomes, with students in higher -
level classes typically experiencing better
teachers, curriculum, and achievement
levels than peers in lower -
level classes (Carbonaro & Gamoran, 2003).
Observations lasted for 50 minutes on 2 different days in the fall and spring each year using the interactive teaching map to document the use of the targeted teaching strategies in all conditions.37 Greater use of the experimental instructional and management methods was observed in intervention classrooms, as discussed elsewhere.38
Teachers» use of the experimental instructional and management methods has been found to
predict short - term variation across classrooms in students»
levels of social development constructs related to school bonding.38
Research Questions: The present study examined the following research questions: (1) What
teacher behaviors and student -
level characteristics
predict student achievement?
Serious family financial strain, maternal depression, and attenuated cortisol all made unique contributions in models
predicting current clinical
levels of internalizing symptoms as rated by mothers and
teachers.