Beginning immediately, educators
and administrators throughout the country will undertake one of the most
challenging reform efforts in the history of science education in America. The
Next Generation Science Standards (NGSS) are built around Three-Dimensional (“3-D”)
Learning and incorporate major conceptual shifts in how science instruction
will be delivered. The 3-D learning strategy includes Disciplinary Core Ideas
(DCIs: what students should know),
Science and Engineering Practices (SEPs: what students should be able to do with what they know), and the Crosscutting Concepts (CCCs: how we transcend traditional
disciplinary boundaries to make cognitive connections as we learn how to think like a scientist and an engineer).
Science standards are
nothing new. Since the 1890s, an infinite number of them have been crafted and
refined specifically for American students. However, the conceptual shifts
proposed by the NGSS call for the following:
·
learning
the practices of science and
engineering (one of the most important departures from past standards) through
rich content experiences rather than merely identifying appropriate science
content,
·
performance
expectations (not multiple choice answers) that will inform the basis of curriculum,
instruction, and assessment,
·
investigating
science phenomena collaboratively, not reading content in solitude and
memorizing science factoids,
·
a
deeper understanding of key science ideas, rather than shallow exposure to
simple easy-to-assess science topics,
·
a
strategic alignment with the new Common Core State Standards (CCSS) for English/Language
Arts (E/LA), since digesting informational texts in the fields of science
requires a working knowledge of how to deploy the critical language skills
traditionally taught in E/LA (reading, writing, listening, speaking, note-booking,
asking questions, engaging in discourse, dialogue, and presenting arguments
with evidence) in realistic science contexts. The CCSS Mathematics standards
are also aligned to the NGSS, recognizing that “number sense,” computational
thinking, and understanding how to collect, calculate, analyze, and interpret data
are among the most critical skills applied in research and scientific
investigations, and
·
an
integration of science and engineering,
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