Sentence examples for a data-driven evaluation. from inspiring English sources

Evaluation experts have warned policymakers that this method is not reliable for evaluating teachers, but VAM became popular among school reformers as a "data-driven" evaluation solution.

In this paper, we propose a data-driven evaluation model to detect malicious insiders, which audits user behaviors from both parallel and incremental aspects.

This is borne out by No Ceilings: The Full Participation Report, which is a data-driven evaluation of the gaps and gains girls and women have made over the past 20 years since the UN Fourth World Conference on Women in Beijing.

In today's health care environment, the demand for objective comparative information about the performance of health care organizations and providers has created a need for data-driven evaluation processes [1].

The company adds that it will also invest further in CoursEval, its recently acquired data-driven evaluation and assessment system, as well as SuperAPP, its online college admissions form completion system.

Increasingly, in addition to the standard interviews and team meetings conducted by deal teams, PEs are conducting more sophisticated, data-driven evaluations of a target's leadership and culture risks and opportunities.

They didn't explicitly advocate a reduction in the standards, only a return to the original April 2018 deadline to give the agencies time for a "data-driven" midterm evaluation.

Besides, this sort of thing would introduce destructive competition into a culture that should be collaborative, he adds (without explaining why data-driven evaluations have not destroyed collaboration in other industries).The NEA and its supporters will eventually lose this fight, says Kate Walsh, the president of the National Council on Teacher Quality, a think-tank that unions love to hate.

At present, the best candidates for legal victories overturning data-driven evaluations are plaintiffs facing made-up metrics for teachers of non-tested subjects.

On the other hand, prevention might be our only rationale option, even if multifactorial diseases do not lend themselves to surveillance data-driven evaluations of intervention strategies.

Chronic, multifactorial diseases do not lend themselves to data-driven evaluations of intervention strategies, time trends, exposure patterns, or identification of at-risk populations based only on routinely collected surveillance data.