Standardized Test Practice Chapter 12 Chemistry Answers

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There is also little or no evidence for the claim that teachers will be more motivated to improve student learning if teachers are evaluated or monetarily rewarded for student test score gains. A review of the technical evidence leads us to conclude...

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Nonetheless, there is broad agreement among statisticians, psychometricians, and economists that student test scores alone are not sufficiently reliable and valid indicators of teacher effectiveness to be used in high-stakes personnel decisions,...

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For instance, the Board on Testing and Assessment of the National Research Council of the National Academy of Sciences stated, …VAM estimates of teacher effectiveness should not be used to make operational decisions because such estimates are far too unstable to be considered fair or reliable. There are many pitfalls to making causal attributions of teacher effectiveness on the basis of the kinds of data available from typical school districts. We still lack sufficient understanding of how seriously the different technical problems threaten the validity of such interpretations. And RAND Corporation researchers reported that, The estimates from VAM modeling of achievement will often be too imprecise to support some of the desired inferences… and that The research base is currently insufficient to support the use of VAM for high-stakes decisions about individual teachers or schools.

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Factors that influence student test score gains attributed to individual teachers A number of factors have been found to have strong influences on student learning gains, aside from the teachers to whom their scores would be attached. These factors also include school conditions—such as the quality of curriculum materials, specialist or tutoring supports, class size, and other factors that affect learning.

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Student test score gains are also strongly influenced by school attendance and a variety of out-of-school learning experiences at home, with peers, at museums and libraries, in summer programs, on-line, and in the community. Well-educated and supportive parents can help their children with homework and secure a wide variety of other advantages for them. Other children have parents who, for a variety of reasons, are unable to support their learning academically. Student test score gains are also influenced by family resources, student health, family mobility, and the influence of neighborhood peers and of classmates who may be relatively more advantaged or disadvantaged.

Problems with the use of student test scores to evaluate teachers

Research shows that summer gains and losses are quite substantial. A research summary concludes that while students overall lose an average of about one month in reading achievement over the summer, lower-income students lose significantly more, and middle-income students may actually gain in reading proficiency over the summer, creating a widening achievement gap.

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Recognizing the technical and practical limitations of what test scores can accurately reflect, we conclude that changes in test scores should be used only as a modest part of a broader set of evidence about teacher practice. The potential consequences of theinappropriate use of test-based teacher evaluation Besides concerns about statistical methodology, other practical and policy considerations weigh against heavy reliance on student test scores to evaluate teachers. Research shows that an excessive focus on basic math and reading scores can lead to narrowing and over-simplifying the curriculum to only the subjects and formats that are tested, reducing the attention to science, history, the arts, civics, and foreign language, as well as to writing, research, and more complex problem-solving tasks.

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Tying teacher evaluation and sanctions to test score results can discourage teachers from wanting to work in schools with the neediest students, while the large, unpredictable variation in the results and their perceived unfairness can undermine teacher morale. Surveys have found that teacher attrition and demoralization have been associated with test-based accountability efforts, particularly in high-need schools. Individual teacher rewards based on comparative student test results can also create disincentives for teacher collaboration. Better schools are collaborative institutions where teachers work across classroom and grade-level boundaries toward the common goal of educating all children to their maximum potential.

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They use systematic observation protocols with well-developed, research-based criteria to examine teaching, including observations or videotapes of classroom practice, teacher interviews, and artifacts such as lesson plans, assignments, and samples of student work. Evaluation by competent supervisors and peers, employing such approaches, should form the foundation of teacher evaluation systems, with a supplemental role played by multiple measures of student learning gains that, where appropriate, could include test scores. Some districts have found ways to identify, improve, and as necessary, dismiss teachers using strategies like peer assistance and evaluation that offer intensive mentoring and review panels. These and other approaches should be the focus of experimentation by states and districts. Adopting an invalid teacher evaluation system and tying it to rewards and sanctions is likely to lead to inaccurate personnel decisions and to demoralize teachers, causing talented teachers to avoid high-needs students and schools, or to leave the profession entirely, and discouraging potentially effective teachers from entering it.

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Legislatures should not mandate a test-based approach to teacher evaluation that is unproven and likely to harm not only teachers, but also the children they instruct. Introduction Every classroom should have a well-educated, professional teacher. For that to happen, school systems should recruit, prepare, and retain teachers who are qualified to do the job. Once in the classroom, teachers should be evaluated on a regular basis in a fair and systematic way. Effective teachers should be retained, and those with remediable shortcomings should be guided and trained further. Ineffective teachers who do not improve should be removed. In practice, American public schools generally do a poor job of systematically developing and evaluating teachers.

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School districts often fall short in efforts to improve the performance of less effective teachers, and failing that, of removing them. Principals typically have too broad a span of control frequently supervising as many as 30 teachers , and too little time and training to do an adequate job of assessing and supporting teachers. Many principals are themselves unprepared to evaluate the teachers they supervise. Due process requirements in state law and union contracts are sometimes so cumbersome that terminating ineffective teachers can be quite difficult, except in the most extreme cases. In addition, some critics believe that typical teacher compensation systems provide teachers with insufficient incentives to improve their performance.

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Some advocates of this approach expect the provision of performance-based financial rewards to induce teachers to work harder and thereby increase their effectiveness in raising student achievement. Others expect that the apparent objectivity of test-based measures of teacher performance will permit the expeditious removal of ineffective teachers from the profession and will encourage less effective teachers to resign if their pay stagnates. Some believe that the prospect of higher pay for better performance will attract more effective teachers to the profession and that a flexible pay scale, based in part on test-based measures of effectiveness, will reduce the attrition of more qualified teachers whose commitment to teaching will be strengthened by the prospect of greater financial rewards for success.

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Encouragement from the administration and pressure from advocates have already led some states to adopt laws that require greater reliance on student test scores in the evaluation, discipline, and compensation of teachers. Other states are considering doing so. But there is no current evidence to indicate either that the departing teachers would actually be the weakest teachers, or that the departing teachers would be replaced by more effective ones. Nor is there empirical verification for the claim that teachers will improve student learning if teachers are evaluated based on test score gains or are monetarily rewarded for raising scores.

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NCLB has used student test scores to evaluate schools, with clear negative sanctions for schools and, sometimes, their teachers whose students fail to meet expected performance standards. We can judge the success or failure of this policy by examining results on the National Assessment of Educational Progress NAEP , a federally administered test with low stakes, given to a small but statistically representative sample of students in each state. The NCLB approach of test-based accountability promised to close achievement gaps, particularly for minority students. Scores rose at a much more rapid rate before NCLB in fourth grade math and in eighth grade reading, and rose faster after NCLB in fourth grade reading and slightly faster in eighth grade math. These data do not support the view that that test-based accountability increases learning gains. Table 1 Table 1 shows only simple annual rates of growth, without statistical controls.

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A recent careful econometric study of the causal effects of NCLB concluded that during the NCLB years, there were noticeable gains for students overall in fourth grade math achievement, smaller gains in eighth grade math achievement, but no gains at all in fourth or eighth grade reading achievement. The study did not compare pre- and post-NCLB gains. As we show in what follows, research and experience indicate that approaches to teacher evaluation that rely heavily on test scores can lead to narrowing and over-simplifying the curriculum, and to misidentifying both successful and unsuccessful teachers. These and other problems can undermine teacher morale, as well as provide disincentives for teachers to take on the neediest students.

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When attached to individual merit pay plans, such approaches may also create disincentives for teacher collaboration. In truth, although payment for professional employees in the private sector is sometimes related to various aspects of their performance, the measurement of this performance almost never depends on narrow quantitative measures analogous to test scores in education. Rather, private-sector managers almost always evaluate their professional and lower-management employees based on qualitative reviews by supervisors; quantitative indicators are used sparingly and in tandem with other evidence.

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Management experts warn against significant use of quantitative measures for making salary or bonus decisions. Other human service sectors, public and private, have also experimented with rewarding professional employees by simple measures of performance, with comparably unfortunate results. When the U. The counselors also began to concentrate on those unemployed workers who were most able to find jobs on their own, diminishing their attention to those whom the employment programs were primarily designed to help. A third reason for skepticism is that in practice, and especially in the current tight fiscal environment, performance rewards are likely to come mostly from the redistribution of already-appropriated teacher compensation funds, and thus are not likely to be accompanied by a significant increase in average teacher salaries unless public funds are supplemented by substantial new money from foundations, as is currently the situation in Washington, D.

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If performance rewards do not raise average teacher salaries, the potential for them to improve the average effectiveness of recruited teachers is limited and will result only if the more talented of prospective teachers are more likely than the less talented to accept the risks that come with an uncertain salary. Once again, there is no evidence on this point. And finally, it is important for the public to recognize that the standardized tests now in use are not perfect, and do not provide unerring measurements of student achievement. These tests are unlike the more challenging open-ended examinations used in high-achieving nations in the world.

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This seemingly paradoxical situation can occur because drilling students on narrow tests does not necessarily translate into broader skills that students will use outside of test-taking situations. Furthermore, educators can be incentivized by high-stakes testing to inflate test results. At the extreme, numerous cheating scandals have now raised questions about the validity of high-stakes student test scores. Without going that far, the now widespread practice of giving students intense preparation for state tests—often to the neglect of knowledge and skills that are important aspects of the curriculum but beyond what tests cover—has in many cases invalidated the tests as accurate measures of the broader domain of knowledge that the tests are supposed to measure.

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We see this phenomenon reflected in the continuing need for remedial courses in universities for high school graduates who scored well on standardized tests, yet still cannot read, write or calculate well enough for first-year college courses. Donald Rubin, a leading statistician in the area of causal inference, reviewed a range of leading VAM techniques and concluded: We do not think that their analyses are estimating causal quantities, except under extreme and unrealistic assumptions. Accordingly, there are many technical challenges to ascertaining the degree to which the output of these models provides the desired estimates. Despite a substantial amount of research over the last decade and a half, overcoming these challenges has proven to be very difficult, and many questions remain unanswered… 12 Among the concerns raised by researchers are the prospects that value-added methods can misidentify both successful and unsuccessful teachers and, because of their instability and failure to disentangle other influences on learning, can create confusion about the relative sources of influence on student achievement.

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If used for high-stakes purposes, such as individual personnel decisions or merit pay, extensive use of test-based metrics could create disincentives for teachers to take on the neediest students, to collaborate with one another, or even to stay in the profession. Efforts to address one statistical problem often introduce new ones. As a result, reliance on student test scores for evaluating teachers is likely to misidentify many teachers as either poor or successful. Thus, teachers working in affluent suburban districts would almost always look more effective than teachers in urban districts if the achievement scores of their students were interpreted directly as a measure of effectiveness. Even when student demographic characteristics are taken into account, the value-added measures are too unstable i.

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For example, with VAM, the essay-writing a student learns from his history teacher may be credited to his English teacher, even if the English teacher assigns no writing; the mathematics a student learns in her physics class may be credited to her math teacher.

Standardized Test Practice Chapter 12 Answers

Chemistry of life chapter test b answer key Chemistry of life chapter test b answer key Answer: B. We have arranged chapter wise online tests of Physics, Chemistry, Biology and English. Factor-Label Method Scientific Method. Fourteen question formats Using a variety of question types in your tests and quizzes will make the evaluation more interesting and challenging for your students. If an atom gains an electron, it forms a: positively charged ion negatively charged ion covalent bond double bond.

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Ancient Greece. Consultant Jerry Bobrow, Ph. The student knows environmental adaptations of aquatic organisms. Draw six neutrons in the nucleus of the atom. The Life student's book answer keys are available for Life teachers to download from a secure site for Instructor Resources. If you can't test your own answer, other scientists can't test it to see if you were right or not.

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