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dc.contributor.editorGoodell, Jim
dc.contributor.editorKolodner, Janet
dc.date.accessioned2023-12-20T04:05:30Z
dc.date.available2023-12-20T04:05:30Z
dc.date.issued2023
dc.date.submitted2023-12-19T13:04:40Z
dc.identifierhttps://library.oapen.org/handle/20.500.12657/86250
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/132092
dc.description.abstractThe Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, engineering design, and other methodologies to support learners. As learning engineering becomes an increasingly formalized discipline and practice, new insights and tools are needed to help education, training, design, and data analytics professionals iteratively develop, test, and improve complex systems for engaging and effective learning. Written in a colloquial style and full of collaborative, actionable strategies, this book explores the essential foundations, approaches, and real-world challenges inherent to ensuring participatory, data-driven, learning experiences across populations and contexts.
dc.languageEnglish
dc.rightsopen access
dc.subject.otherinstructional design; user experience design; data analysis; ISLS; International Society of the Learning Sciences; technology-enhanced learning; artificial intelligence; participatory research design; learning design; engineering design; Janet Kolodner; human-centered learning; Association for the Advancement of Computing in Education; IEDMS; online learning; reskilling; E-Learning; learning sciences; Evidence-Based Practices; computer science; learning analytics; big data; Society for Learning Analytics Research; International Educational Data Mining Society; AECT; Association for Educational Communications and Technologies; ICICLE; design-based research; Learning Engineering Toolkit; lean-agile development; SoLAR; IEEE IC Industry Consortium on Learning Engineering; digital learning; course design; upskilling; massive open online courses; human computer interaction; HCI; Jim Goodell; data science; educational data mining; AACE; educational technologies; MOOC
dc.titleLearning Engineering Toolkit
dc.title.alternativeEvidence-Based Practices from the Learning Sciences, Instructional Design, and Beyond
dc.typebook
oapen.identifier.doi10.4324/9781003276579
oapen.relation.isPublishedByfa69b019-f4ee-4979-8d42-c6b6c476b5f0
oapen.relation.hasChapterChapter Introduction
oapen.relation.hasChapterChapter 2 Learning Engineering Applies the Learning Sciences
oapen.relation.hasChapter55c02795-e5bb-496d-b035-92f6aa315996
oapen.relation.hasChapterChapter 1 Learning Engineering is a Process
oapen.relation.isbn9781032208503
oapen.relation.isbn9781032232829
oapen.relation.isbn9781003276579
oapen.imprintRoutledge


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Chapters in this book

  • Granadino, Alan; Nygård, Stefan; Stadius, Peter (2022)
    "With a combined focus on social democrats in Northern and Southern Europe, this book crucially broadens our understanding of the transformation of European social democracy from the mid-1970s to the early-1990s. In doing ...
  • Goodell, Jim; Kolodner, Janet; Kessler, Aaron (2023)
    The Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, ...
  • Kessler, Aaron; Craig, Scotty D.; Goodell, Jim; Kurzweil, Dina; Greenwald, Scott W. (2023)
    The Learning Engineering Toolkit is a practical guide to the rich and varied applications of learning engineering, a rigorous and fast-emerging discipline that synthesizes the learning sciences, instructional design, ...

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