LEADER 06110nam 22007455 450 001 9910299508203321 005 20240207124317.0 010 $a3-319-77237-6 024 7 $a10.1007/978-3-319-77237-0 035 $a(CKB)4100000007102883 035 $a(DE-He213)978-3-319-77237-0 035 $a(MiAaPQ)EBC5561504 035 $a(EXLCZ)994100000007102883 100 $a20181022d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNetwork Science In Education $eTransformational Approaches in Teaching and Learning /$fedited by Catherine B. Cramer, Mason A. Porter, Hiroki Sayama, Lori Sheetz, Stephen Miles Uzzo 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (IX, 205 p. 49 illus., 40 illus. in color.) 311 $a3-319-77236-8 327 $aSecondary Student Mentorship and Research in Complex Networks: opportunities and challenges -- Network Science PhD Program -- Network Science, Neuroimaging and the Effects of Music on the Brain: An interdisciplinary approach to introducing network science techniques to undergraduate and pre-college students in a public school community-based university partnership -- Discovering Complex Networks Through Project-Based Learning -- Network Visualization Literacy: Novel approaches to measurement and instruction -- The Project: NetSci in your pocket -- Comparison of Curricular Contents and Structures Across Network Science Courses -- Pay, Position, and Partnership: The relationship between salary and sharing in a district leadership team -- The Imaginary Board of Directors: A resource for introducing network theory and practice -- Building the Foundation of Network Science Education at the Undergraduate Level -- Network Science in K-16 Practice and Policy -- MovieGalaxies: Hands-on tools for effective learning. 330 $aAround the globe, there is an increasingly urgent need to provide opportunities for lifelong learners to embrace complexity; to develop the many skills and habits of mind relevant to today?s complex and interconnected world; and to make learning more connected to our rapidly changing workplace and society. This presents an opportunity, not only to leverage new paradigms for understanding the structure and function of teaching and learning communities, but also for promoting new approaches to developing methods, curricular materials, and resources. Network science ? the study of connectivity ? can play an important role in these activities, both as an important subject in teaching and learning and as a way to develop interconnected curricula. Since 2010, an international community of network science researchers and educators has come together to raise the global level of network literacy by applying ideas from network science to teaching and learning. Network Science in Education - which refers to both this community and its activities - has evolved in response to escalating activity in the field of network science and the need for all people to be able to access the field through education channels. Network Science In Education: Transformational Approaches in Teaching and Learning offers case studies from the wide variety of activities that have been developed around the globe to address this need: the creation of entirely new courses and degree programs; tools for K?20 learners, teachers and the general public; and in-depth analysis of selected education networks. As network-based pedagogy and the community of practice continues to grow, we hope that the book?s readers will join this vibrant network education community in order to build on these nascent ideas and to help deepen the understanding of networks for all learners. . 606 $aScience education 606 $aPhysics 606 $aComputational complexity 606 $aNeural networks (Computer science)  606 $aComputer organization 606 $aSocial structure 606 $aEquality 606 $aScience Education$3https://scigraph.springernature.com/ontologies/product-market-codes/O27000 606 $aApplications of Graph Theory and Complex Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/P33010 606 $aComplexity$3https://scigraph.springernature.com/ontologies/product-market-codes/T11022 606 $aMathematical Models of Cognitive Processes and Neural Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/M13100 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aSocial Structure, Social Inequality$3https://scigraph.springernature.com/ontologies/product-market-codes/X22010 615 0$aScience education. 615 0$aPhysics. 615 0$aComputational complexity. 615 0$aNeural networks (Computer science) . 615 0$aComputer organization. 615 0$aSocial structure. 615 0$aEquality. 615 14$aScience Education. 615 24$aApplications of Graph Theory and Complex Networks. 615 24$aComplexity. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aSocial Structure, Social Inequality. 676 $a507.1 702 $aCramer$b Catherine B$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPorter$b Mason A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSayama$b Hiroki$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSheetz$b Lori$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aUzzo$b Stephen Miles$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299508203321 996 $aNetwork Science In Education$92510288 997 $aUNINA