3.+Handouts,+Worksheets,+and+Graphic+Organizers

Handouts, Worksheets, & Graphic Organizers

Learning Differences
A crucial aspect of teaching diverse learners involves understanding how the brain receives, processes, and manages learning. According to Rose and Meyer (2002), the brain controls learning through three connected neural networks including recognition, strategic, and affective. These networks function differently among learners and support explanation of learning preferences and disabilities. Examining the characteristics of each network (see [|Neural Networks]) provides insights into individual strengths and weaknesses to highlight specific intervention strategies. A student with processing errors regarding recognition networks may demonstrate difficulty recognizing patterns, making connections, and comprehending information (Rose and Meyer, 2002). Therefore, the [|principles of multiple representation] support differentiation for these weaknesses. Another example involves weaknesses in expressing knowledge. Difficulties with the affective network appear as weak writing or speech skills, difficulty in manipulating materials, and failure to evaluate decisions. Using the [|principles of multiple means of expression] improves communication of ideas (Rose and Meyer, 2002). Finally, barriers within the strategic network give the impression of apathetic and off task behavior. Appeal to the affective network by implementing the [|principles of engagement] (Rose and Meyer, 2002). Overall, students bring diversity in all areas of learning. Educators must design instruction that encompasses all three neural networks to maximize learning opportunities for diverse needs. The following chart illustrates implications for educators in designing instruction that supports learning differences. ||
 * **//Brain Research//**
 * //UDL Implications for Learner Differences: Cultural/Ethnic, Linguistic, and Academic//**


 * **Handouts, Worksheets, and/or Graphic Organizers**
 * [[file:Concept Map UDL.pdf]]
 * [[file:Drawing Conclusions.doc]]