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Troy Patterson

(6) Body Language Matters - Geno Auriemma on body language and the type of pl... - 0 views

  • Geno Auriemma on body language and the type of players he recruits
Ron King

Smarter Balanced Assessment Consortium - 0 views

shared by Ron King on 23 Apr 13 - No Cached
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    Smarter Balanced is a state-led consortium developing assessments aligned to the Common Core State Standards in English language arts/literacy and mathematics that are designed to help prepare all students to graduate high school college- and career-ready.
Ron King

Standards-Based Grading Videos - 0 views

shared by Ron King on 29 Apr 13 - No Cached
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    Many of the videos on this site are a culmination of the work of practitioners who led breakout sessions at a standards-based grading conference held April 24, 2013 in Cedar Rapids, Iowa. This website is organized around three themes: SBG 101: videos designed classroom practitioners who are getting started with standards-based grading. Discipline-specific: math, science, social studies, language arts, visual arts, career & technical education videos Leadership/Change: videos for administrators and leadership teams.
Troy Patterson

Some Common Alternative Conceptions (Misconceptions) - 0 views

  • Seasonal Change
  • Knowledge about the Earth
  • Path of blood flow in circulation
  • ...21 more annotations...
  • Day/Night Cycle
  • Plants
  • Categories of Misconceptions (Erroneous Ideas) (See Pelaez, Boyd, Rojas, & Hoover, 2005)
  • Force and Motion of Objects
  • Gravity
  • Ontological Misconceptions
  • Other Misconceptions in Science 
  • Epistemological Misconceptions about the Domain of Science Itself (its objectives, methods, and purposes)
  • Mathematics
  • Money
  • Subtraction
  • Multiplication
  • Division
  • Negative Numbers
  • Fractions
  • Decimal/Place-Value
  • Overgeneralization of Conceptions Developed for "Whole Numbers" (cited in Williams & Ryan, 2000)
  • Algebra
  • Language Arts
  • Poetry
  • Language
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    American Psychological Association
Troy Patterson

Updating Data-Driven Instruction and the Practice of Teaching | Larry Cuban on School R... - 0 views

  • I am talking about data-driven instruction–a way of making teaching less subjective, more objective, less experience-based, more scientific.
  • Data-driven instruction, advocates say, is scientific and consistent with how successful businesses have used data for decades to increase their productivity.
  • Of course, teachers had always assessed learning informally before state- and district-designed tests. Teachers accumulated information (oops! data) from pop quizzes, class discussions, observing students in pairs and small groups, and individual conferences.
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  • Based on these data, teachers revised lessons. Teachers leaned heavily on their experience with students and the incremental learning they had accumulated from teaching 180 days, year after year.
  • Teachers’ informal assessments of students gathered information directly and  would lead to altered lessons.
  • In the 1990s and, especially after No Child Left Behind became law in 2002, the electronic gathering of data, disaggregating information by groups and individuals, and then applying lessons learned from analysis of tests and classroom practices became a top priority.
  • Now, principals and teachers are awash in data.
  • How do teachers use the massive data available to them on student performance?
  • studied four elementary school grade-level teams in how they used data to improve lessons. She found that supportive principals and superintendents and habits of collaboration increased use of data to alter lessons in two of the cases but not in the other two.
  • Julie Marsh and her colleagues found 15 where teachers used annual tests, for example, in basic ways to target weaknesses in professional development or to schedule double periods of language arts for English language learners.
  • These researchers admitted, however, that they could not connect student achievement to the 36 instances of basic to complex data-driven decisions  in these two districts.
  • Of these studies, the expert panel found 64 that used experimental or quasi-experimental designs and only six–yes, six–met the Institute of Education Sciences standard for making causal claims about data-driven decisions improving student achievement. When reviewing these six studies, however, the panel found “low evidence” (rather than “moderate” or “strong” evidence) to support data-driven instruction. In short, the assumption that data-driven instructional decisions improve student test scores is, well, still an assumption not a fact.
  • Numbers may be facts. Numbers may be objective. Numbers may smell scientific. But we give meaning to these numbers. Data-driven instruction may be a worthwhile reform but as an evidence-based educational practice linked to student achievement, rhetoric notwithstanding, it is not there yet.
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