eric.ed.gov har udgivet: Between 2002 and 2014, the Institute of Education Sciences (Institute) supported over 400 projects focused on education technology through the National Center for Education Research (NCER) and the National Center for Special Education Research (NCSER). The majority of this work has been funded through Education Technology research topics of NCER and NCSER and the Institute’s Small Business Innovation Research (SBIR) program run by NCER. Both centers also support projects focusing on education technology through other research topic areas, including programs such as Cognition and Student Learning, Early Learning Programs and Policies, Math and Science, Reading and Writing, Social and Behavioral Context, Improving Education Systems, and Effective Teachers and Teaching. Together, researchers funded by NCER and NCSER have developed or studied more than 270 web-based tools, 85 virtual… Continue Reading →
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eric.ed.gov har udgivet: The development of computer science, statistics and other technological fields, give us more opportunities to improve the process of evaluation of degree of knowledge and achievements in a learning process of our students. More and more we are relying on the computer software to guide us in the grading process. An improved way of grading can help overcome some limitations of the educational process, that have caused problems, and had as a consequence a lower degree of success. With the combination of old, traditional way of evaluation of students knowledge and success, and the application of “fuzzy logic” and “the theory of fuzzy sets”, “the method of ponderous areas”, and other new computer and scientific technologies, we are getting a complex formula , that is also, friendly… Continue Reading →
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eric.ed.gov har udgivet: The No Child Left Behind Act resulted in increased school-level implementation of assessment-based school interventions that aim to improve student performance. Diagnostic assessments are included among these interventions, designed to help teachers use evidence about student performance to modify and differentiate instruction and improve student outcomes. The mCLASS: Math software (Ginsburg, Cannon, Eisenband, & Pappas, 2006) is comprised of screening/progress monitoring curriculum-based measures (CBMs) and Diagnostic Interviews to help teachers identify students’ skill levels. mCLASS: Math enables teachers to target instruction to each student’s needs and monitor each student’s progress toward mastery. Educators are expected to use the constantly updated diagnostic information to improve ongoing instruction and increase student achievement. Schools have found that the use of mCLASS: Math helps support curriculum, instruction, and assessment (Ginsburg et… Continue Reading →
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eric.ed.gov har udgivet: This paper reports on a design-based implementation study of the use of a diagnostic classroom assessment tool framed on learning trajectories (LTs) for middle grades mathematics, where teachers and students are provided immediate data on students’ progress along LTs. The study answers the question: “How can one characterize the challenges encountered when a school implements a diagnostic assessment system around learning trajectories at scale?” by identifying three explanatory themes: shifting to classroom assessment, understanding the concept and content of the LT, and seeing the results as a call to action. Each theme is discussed with references to observed activities and discussions with participants and related to the challenges connected with taking the concept of LTs to scale. [For the complete proceedings, see ED606556.] Link til kilde
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