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020 _a9783540882152
_9978-3-540-88215-2
024 7 _a10.1007/978-3-540-88215-2
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
100 1 _aUllrich, Carsten.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_9151049
245 1 0 _aPedagogically Founded Courseware Generation for Web-Based Learning
_h[electronic resource] :
_bAn HTN-Planning-Based Approach Implemented in Paigos /
_cby Carsten Ullrich.
250 _a1st ed. 2008.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2008.
300 _aXVI, 257 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5260
505 0 _aPreliminaries -- Relevant Technologies -- Descriptive and Prescriptive Learning Theories -- PAIGOS -- General Principles -- Course Generation in Practice: Formalized Scenarios -- Implementation and Integration -- Evaluation -- Conclusions -- Related Work -- Future Work and Acknowledgments.
520 _aAutomatic course generation is a very important area of research with numerous practical applications in e-learning. It has been studied since the 1980s within the fields of intelligent tutoring, AI and education, adaptive hypermedia and web-based educational systems. Many approaches have been proposed, but hardly any have resulted in generic and practically applied systems. A number of problems have remained unresolved. These problems are addressed by this work. This book focuses on course generation based on Hierarchical Task Network planning (HTN planning). This course generation framework enables the formalization and application of complex and realistic pedagogical knowledge. The volume describes basic techniques for course generation, which are used to formalize seven different types of courses (for instance, introducing the learner to previously unknown concepts and supporting the learner during rehearsal) and several elementary learning goals (e.g., selecting an appropriate example or exercise). This framework has been implemented and evaluated with good results in several domains, with users from different countries and universities, in the context of an EU project. Course generation based on HTN planning is implemented in PAIGOS and has been evaluated by technical, formative and summative evaluations.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aEducation
_xData processing.
_982607
650 0 _aLearning, Psychology of.
_922083
650 0 _aApplication software.
_9151050
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Engineering and Networks.
_9151051
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aComputers and Education.
_941129
650 2 4 _aInstructional Psychology.
_945477
650 2 4 _aComputer and Information Systems Applications.
_9151052
710 2 _aSpringerLink (Online service)
_9151053
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540882138
776 0 8 _iPrinted edition:
_z9783540882961
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5260
_9151054
856 4 0 _uhttps://doi.org/10.1007/978-3-540-88215-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c94401
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