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dc.contributor.editorGoodell, Jim
dc.contributor.editorKolodner, Janet
dc.date.accessioned2023-12-19T13:04:40Z
dc.date.available2023-12-19T13:04:40Z
dc.date.issued2023
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/86250
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.en_US
dc.languageEnglishen_US
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; MOOCen_US
dc.titleLearning Engineering Toolkiten_US
dc.title.alternativeEvidence-Based Practices from the Learning Sciences, Instructional Design, and Beyonden_US
dc.typebook
oapen.identifier.doi10.4324/9781003276579en_US
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bben_US
oapen.relation.hasChapter91648498-2b49-4957-b326-5c0b829438a5
oapen.relation.isbn9781032208503en_US
oapen.relation.isbn9781032232829en_US
oapen.relation.isbn9781003276579en_US
oapen.imprintRoutledgeen_US


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