By Kim Schildkamp, Mei Kuin Lai, Lorna Earl
In a context the place colleges are held a growing number of answerable for the schooling they supply, data-based choice making has develop into more and more very important. This e-book brings jointly students from a number of international locations to check data-based selection making. Data-based determination making during this publication refers to creating judgements in keeping with a extensive variety of facts, reminiscent of ratings on scholars’ exams, lecture room observations etc.
This ebook helps policy-makers, humans operating with colleges, researchers and faculty leaders and lecturers within the use of knowledge, through bringing jointly the present learn carried out on info use throughout a number of nations right into a unmarried quantity. a few of these reviews are ‘best perform’ reviews, the place potent information use has resulted in advancements in scholar studying. Others offer perception into demanding situations in either coverage and perform environments. every one of them attracts on study and literature within the field.
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Extra resources for Data-based Decision Making in Education: Challenges and Opportunities
Examining differences between groups is important because it is possible for one group to be significantly below the school average and to require a different type and level of support than the other groups in the school. 3. A diagnostic of students’ strengths and weaknesses, including which aspect of reading comprehension students performed better or worse as compared to the national and cluster norms and expectations. 4. The examination of achievement drops over the summer holidays. This is important because research consistently shows a drop over the summer holidays between academic years (Borman 2000), and schools need to be constantly monitoring whether achievement has dropped and perhaps more importantly over time, whether students can compensate for the drop over summer by accelerating their rate of achievement during the academic year.
Murnane, R. J. (2007). Data wise. A step-by-step guide to using assessment results to improve teaching and learning. Cambridge: Harvard Education. Buly, M. , & Valencia, S. W. (2002). Below the bar: Profiles of students who fail state reading assessments. Education and Evaluation and Policy Analysis, 24(3), 219–239. , & Levin, B. (2009). Using data to support educational improvement. Educational Assessment, Evaluation and Accountability, 21(1), 47–65. , & Robinson, M. (2011). A multistate district-level cluster randomized trial of the impact of data-driven reform on reading and mathematics achievement.
27 specific profiles of teaching and learning needs, rather than on assumptions about what children need (and what instruction should look like). In that study, a policy mandating phonics instruction for all students in the state of Washington who fell below literacy proficiency levels was shown to have missed the needs of the majority of students, whose decoding was strong but who struggled with comprehension or language requirements for the tests. , observations of a reading lesson, surveys of teaching practice) to change teaching practices without examining achievement data.