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008 170212s2015 gw | s |||| 0|eng d
020 _a9783319169132
_9978-3-319-16913-2
024 7 _a10.1007/978-3-319-16913-2
_2doi
035 _ato000559416
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA76.6-76.66
072 7 _aUM
_2bicssc
072 7 _aCOM051000
_2bisacsh
082 0 4 _a005.11
_223
100 1 _aŠtuikys, Vytautas.
_eauthor.
_9414192
245 1 0 _aSmart Learning Objects for Smart Education in Computer Science
_helectronic resource
_bTheory, Methodology and Robot-Based Implementation /
_cby Vytautas Štuikys.
260 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXVI, 317 p. 82 illus., 28 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
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.
_9155490
650 0 _aComputer programming.
_9439171
650 0 _aArtificial intelligence.
_9274099
650 0 _aComputer simulation.
_9304569
650 0 _aEducation
_xData processing.
_9461539
650 0 _aEducational technology.
_9303678
650 1 4 _aComputer Science.
_9155490
650 2 4 _aProgramming Techniques.
_9566312
650 2 4 _aEducational Technology.
_9303678
650 2 4 _aComputers and Education.
_9304193
650 2 4 _aArtificial Intelligence (incl. Robotics).
_9274102
650 2 4 _aSimulation and Modeling.
_9304570
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-16913-2
912 _aZDB-2-SCS
999 _c414233