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Michael Lucatorto

Unshielded Colliders: Poverty and Education - 0 views

  • For example, Mel Riddile points out that when one conditions on various measures of poverty, instead of trailing other nations, the U.S. actually comes out on top! He concludes that "when it comes to school improvement, it's poverty not stupid." Poverty causes educational deficiency.
  • or example, Mel Riddile points out that when one conditions on various measures of poverty, instead of trailing other nations, the U.S. actually comes out on top! He concludes that "when it comes to school improvement, it's poverty not stupid." Poverty causes educational deficienc
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    For example, Mel Riddile points out that when one conditions on various measures of poverty, instead of trailing other nations, the U.S. actually comes out on top! He concludes that "when it comes to school improvement, it's poverty not stupid." Poverty causes educational deficiency. Now, I like to actually have data to play around with, in part because people have been known to lie about politically charged issues and in part because I like to have nice graphs (which are not provided by Riddile). Anyway, it turns out that international poverty data is pretty hard to come by and fraught with interpretational difficulties. On the other hand, the National Assessment of Educational Progress provides test data for most of the states in the U.S., and the U.S. Census Bureau provides data on the percentage of people in poverty by state. I took the NAEP data for 8th grade science achievement and regressed on the percentage of people below the poverty line for the measured states. The two are negatively associated: as poverty increases, science achievement scores decrease according to the relationship in the plot below. (Alaska, Kansas, Nebraska, and Vermont did not meet NAEP reporting guidelines and are not included in the plot above.) The association is highly significant (p=9.98*10-6). I also took pilot NAEP data for 8th grade mathematics achievement and regressed on the percentage of people below the poverty line for the measured states. (Evidently, the NAEP has only just started testing for mathematics achievement, and only eleven states were included in their pilot.) Again, the two are negatively associated. The slope of the relation turns out to be almost exactly the same as for science achievement. The association is not as significant, but it is still significant (p=0.0186). (My guess is the association is less significant in this case because fewer states were measured.) Clearly there is an association between poverty and achievement in science and mathem
Victoria Keller

Mathematics Fluency: A Balanced Approach | OER Commons - 0 views

    • Victoria Keller
       
      I will be using this video in addition to the one on the shifts to explore the concepts involved in the Common Core Standards of Mathematics
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    This one looks intriguing.....
Erin Fontaine

Technology Permeates Common Core Standards - 0 views

  • In English language arts, the standards call for students to use technology, including the Internet, to produce and publish writing, as well as to interact and collaborate with others. This includes writing blog posts and commenting on blogs, as the students involved in the Comments4Kids project do.
    • Erin Fontaine
       
      Blogging you say! Good thing Alex introduced us to this wonder tool! What a grat way to get kids writing!!
    • Erin Fontaine
       
      Blogging hmmmm! Good thing Alex introduced me to this little wonder tool. What a grat way to get kids writing!
  • Mathematically proficient students should know which tools help them perform different tasks, according to the standards.
  • “This is really at the heart of how students are going to get to these standards," Minnich said. "It’s not necessarily a part of setting the standards, but If we don’t use technology to get students to these standards, we’re missing a huge opportunity."
Diana Cary

NYS Learning Standards:CI&IT:NYSED - 0 views

Heather Kurto

JTE v24n1 - Transfer of Learning: Connecting Concepts During Problem Solving - 0 views

  • There are several factors that affect learning transfer. These include whether students understand or simply memorize knowledge, the amount of time spent on learning the task, the amount of deliberate practice that is done beyond learning the task, the motivation of the student, how the problem is represented, the transfer conditions, and the metacognition of the solver (Dweck, 1989; Ericsson, Krampe, & Tesch-Romer, 1993; Johnson et al., 2011; Palinscar & Brown, 1984; Singley & Anderson, 1989).
  • A student’s comprehension of a problem and his or her ultimate ability to transfer concepts learned previously to the current problem is inextricably linked to his or her ability to properly represent the problem.
  • ognitive research shows that the organization of learning and how new learning relates to what a student already knows are the strongest predictors of how well a student will transfer knowledge (National Research Council, 2000). Schunn and Silk (2011) articulated, however, that in science and engineering students often “lack relevant conceptual frameworks or have frameworks that are not developed enough to support new learning adequately” (p. 9). The absence of such frameworks makes it difficult for students to connect and apply other knowledge where relevant.
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  • The problem solving process begins as soon as the problem solver generates enough information about the problem space to gain an understanding of the problem.
  • Representation in the problem-solving process refers to how the solver mentally represents the problem. The solver’s representation of the problem is directly related to his or her existing knowledge structure of the content of the problem.
  • Students have to increase their reflective practice to aid their metacognition and transfer of STEM concepts.
  • Different individuals have different conceptual knowledge and will make different associations to their knowledge. Exposure to the constraints and affordances of a particular context in which a problem exists will invariably influence the way in which the student represents a problem in a similar context.
  • Sanders (2009) admitted that it is difficult to prepare a teacher that is competent in all three bodies of knowledge, given the volume of content knowledge necessary to be an effective science, mathematics or technology educator.
  • This pedagogical approach is not without its challenges, as students may still compartmentalize their knowledge. Also, it is often difficult logistically and in terms of instructional timing for teachers across STEM discipline to collaborate effectively (Crismond, 2011; Kimbell & Stables, 2008).
  • Good and poor problem solvers differ in their recall of information from previously encountered problems and by extension their ability to transfer concepts to the target problem. This difference exists because poor problem solvers tend to remember surface similarities between problems, while good problem solvers remember underlying conceptual structures that make two problems similar although they have different surface features (Sutton, 2003).
  • Until student assessment methods are modified to reflect less dependency on standardized tests, engineering and technology educators will garner greater collaboration from math and science teachers when the latter can see that engineering and design-based curriculums does improve students’ ability to solve standardized test problems.
Victoria Keller

Shifts in Math Practice: The Balance Between Skills and Understanding | OER Commons - 0 views

    • Victoria Keller
       
      I will be using this video in module 2 as the members explore information regarding the Common Core Standards of Mathematics
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