Not exact matches
We are at a pivotal point in what is increasingly called world -
language education, poised to regain a
measure of competitiveness with innovative tools and programs that promote crosscultural
understanding.
The primary aims
of this study are to document the process
of moving towards new, integrated systems in each
of these cities; to highlight which strategies moved the cities forward in creating these systems and what barriers the cities encountered; to examine how these cities incorporated the needs
of students with disabilities, English
language learners, and students from different economic backgrounds into their system designs; to
understand how students, teachers, and parents, and others experience elements
of the new system and how these experiences differed for students with special needs; and to document quantitative outcomes on a range
of measures, disaggregated by student subgroup.
One
of these mindframes is ensuring there is a shared
language of learning — An
understanding by all stakeholders related to what learning looks like, how we
measure it, and how we make it Visible.
Dr. Catts and Dr. Petscher share their excitement to collaborate with researchers at Harvard and MIT to conduct expansive research with the goal
of gaining a deeper
understanding of potential tools and screening methods to
measure reading and
language skills.
They
measures students» attainment
of skills such as
understanding story events, drawing conclusions, making predictions, identifying the main idea, using vocabulary strategies, identifying supporting details, identifying point
of view, evaluating ideas,
understanding features that distinguish genres, and using figurative
language to interpret text.
The course develops an
understanding of program evaluation
measures, and requires students to be able to demonstrate this knowledge for purposes
of making data based decisions to develop intervention plans for a variety
of learners including students with disabilities and other special concerns such as youth from foster, immigrant and migrant families, students who are at risk and students from
language diverse communities.
TNReady will
measure student
understanding of our current state standards in English
language arts and math, not the previous SPIs...» — See more
«A lot
of the things we as scientists do — the
language that we use, the metrics by which we
measure things — don't really match - up with the types
of things a water manager or a minister
of environment would like to know or
understand,» he says.
Legal Robot uses machine learning techniques like deep learning to
understand legal
language, then compare the
language with other contracts to identify boilerplate vs. custom,
measure the complexity and readability
of the
language, and identify the responsibilities, rights, and terms
of an agreement.
Recent theoretical work suggests that bullying might arise out
of early cognitive deficits — including
language problems, imperfect causal
understanding, and poor inhibitory control — that lead to decreased competence with peers, which over time develops into bullying.14, 15 A small number
of studies provide circumstantial evidence that such a hypothesis might have merit7: 1 study found a link between poor early cognitive stimulation and (broadly defined) inappropriate school behavior, 16 and another found cognitive stimulation at age 3 years to be protective against symptoms
of attention - deficit disorder at age 7 years.17 A study
of Greek children found that academic self - efficacy and deficits in social cognition were related to bullying behavior.18 A large US national survey found that those who perceive themselves as having average or below - average academic achievement (as opposed to very good achievement) are 50 % to 80 % more likely to be bullies.8 Yet these studies are based on cross-sectional surveys, with the variables all
measured at a single point in time.
Understanding and Choosing Assessments and Developmental Screeners for Young Children Ages 3 to 5: Profiles
of Selected
Measures (PDF - 1741 KB) Office
of Planning, Research and Evaluation, U.S. Department
of Health and Human Services (2011) Translates into plain
language technical information provided by instrument developers regarding the reliability
of 8 commonly used child assessments and 10 developmental screening tools.