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020 |a9781402099113|9978-1-4020-9911-3
024 7 |a10.1007/978-1-4020-9911-3|2doi
041 |aeng
049 |aTürk Tarih Kurumu Kütüphanesi
050 4|aQ181-183.4
072 7|aJNU|2bicssc
072 7|aPD|2bicssc
072 7|aSCI063000|2bisacsh
072 7|aJNU|2thema
072 7|aPD|2thema
082 04|a507.1|223
090 |aDK/12830
100 1 |aLiu, Xiufeng.|eauthor.|4aut|4http://id.loc.gov/vocabulary/relators/aut
245 10|aLinking Competence to Opportunities to Learn|h[electronic resource] :|bModels of Competence and Data Mining /|cby Xiufeng Liu.
250 |a1st ed. 2009.
264 1|aDordrecht :|bSpringer Netherlands :|bImprint: Springer,|c2009.
300 |aVIII, 140 p.|bonline resource.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
347 |atext file|bPDF|2rda
490 1 |aInnovations in Science Education and Technology,|x2213-2236 ;|v17
505 0 |aEquity and Excellence in Standard-Based Education -- Competence and Opportunity to Learn -- Models of Competence and Data Mining -- Models of Competence and Opportunities to Learn in the Classroom -- Models of Competence and Opportunities to Learn at Home -- Models of Competence and Opportunities to Learn in Schools -- Pedagogical and Policy Implications.
520 |aThe current world-wide movement toward standards-based science education is based on a belief that every student, no matter how different he/she is, can and should reach a prescribed level of competence. Yet there are differences in circumstances between students that lie beyond their control, such as classroom, school and family resources and practices. Thus it is more important than ever to identify the particular resources and practices that significantly predict students’ levels of achievement so that strategies can be developed to help students reach competence. This book applies data mining methodology to the issue of standardizing achievement in science education and develops frameworks of competence in the ‘Opportunity-to-learn’ (OTL) model of science education. It is aimed primarily at science education researchers, but can also be used as a reference by national and state education agencies who are required to make decisions about science curriculum standards and resource allocation. School district personnel will also find it useful in teacher professional development. Opportunity-to-learn (OTL) refers to the entitlement of every student to receive the necessary classroom, school and family resources and practices to reach the expected competence. This book quantifies and stystematizes OTL by developing models showing how the circumstances of classroom, school and family relate to students’ achievement. Liu has also applied data mining techniques to these models. In addition, the text analyzes policy as well as pedagogical implications for standards-based science education reform.
650 0|aScience|xStudy and teaching.
650 0|aEducational tests and measurements.
650 0|aLearning, Psychology of.
650 14|aScience Education.
650 24|aAssessment and Testing.
650 24|aInstructional Psychology.
710 2 |aSpringerLink (Online service)
773 0 |tSpringer Nature eBook
776 08|iPrinted edition:|z9781402099106
776 08|iPrinted edition:|z9781402099502
776 08|iPrinted edition:|z9789048182213
830 0|aInnovations in Science Education and Technology,|x2213-2236 ;|v17
856 40|uhttps://doi.org/10.1007/978-1-4020-9911-3
912 |aZDB-2-SHU
912 |aZDB-2-SXED
950 |aHumanities, Social Sciences and Law (SpringerNature-11648)
950 |aEducation (R0) (SpringerNature-43721)