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020 _a9783319169132
_z978-3-319-16913-2
024 7 _a10.1007/978-3-319-16913-2
_2doi
050 4 _aQA76.6-76.66
072 7 _aUM
_2bicssc
072 7 _aCOM051000
_2bisacsh
072 7 _aUM
_2thema005.11
_223
100 1 _aŠtuikys, Vytautas.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aSmart Learning Objects for Smart Education in Computer Science :
_bTheory, Methodology and Robot-Based Implementation /
_cby Vytautas Štuikys.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPreface -- Acknowlegements.-Part One: SLOs Advent Context and Basics of Their Model-Driven Development -- A Vision of Smart Teaching In CS -- Understanding of LO Domain Through its Taxonomies -- Reuse Framework of The LO Domain -- Modelling of CS Teaching and Learning in Large -- Model-Driven Specification in Designing Smart LOs -- Smart LOs Design: Higher-Level Coding and Testing Aspects -- Enhanced Features of SLOs: Focus on Specialization -- Context-Aware Adaptation of Smart Los -- Part Two: Fundamentals of Authoring Tools to Design SLOs, Environments and Smart Education Case Study -- Background to Design Smart LOs and Supporting Tools -- Authoring Tools To Design Smart Los -- Authoring Tools To Specialize and Adapt Smart Los -- Robot-Based Smart Educational Environments to Teach CS: A Case Study -- Smart Education in CS: A Case Study -- What is on the Horizon? -- Glossary -- Index.
520 _aThis monograph presents the challenges, vision and context to design smart learning objects (SLOs) through Computer Science (CS) education modelling and feature model transformations. It presents the latest research on the meta-programming-based generative learning objects (the latter with advanced features are treated as SLOs) and the use of educational robots in teaching CS topics. The introduced methodology includes the overall processes to develop SLO and smart educational environment (SEE) and integrates both into the real education setting to provide teaching in CS using constructivist and project-based approaches along with evaluation of pedagogic outcomes. Smart Learning Objects for Smart Education in Computer Science will appeal to researchers in CS education particularly those interested in using robots in teaching, course designers and educational software and tools developers. With research and exercise questions at the end of each chapter students studying CS related courses will find this work informative and valuable too.
650 0 _aComputer science.
650 0 _aEducation.
650 0 _aArtificial intelligence.
650 0 _aComputer simulation.
650 1 4 _aProgramming Techniques.
_0http://scigraph.springernature.com/things/product-market-codes/I14010
650 2 4 _aEducational Technology.
_0http://scigraph.springernature.com/things/product-market-codes/O21000
650 2 4 _aComputers and Education.
_0http://scigraph.springernature.com/things/product-market-codes/I24032
650 2 4 _aArtificial Intelligence.
_0http://scigraph.springernature.com/things/product-market-codes/I21000
650 2 4 _aSimulation and Modeling.
_0http://scigraph.springernature.com/things/product-market-codes/I19000
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-16913-2
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200434038
_d52250
942 _2lcc
_cEBK
041 _aeng