Show simple item record

dc.contributor.authorGoodell, Jim
dc.contributor.authorKolodner, Janet
dc.contributor.authorKessler, Aaron
dc.date.accessioned2024-11-11T10:10:51Z
dc.date.available2024-11-11T10:10:51Z
dc.date.issued2023
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/94544
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.classificationthema EDItEUR::J Society and Social Sciences::JN Educationen_US
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JN Education::JNM Higher education, tertiary educationen_US
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL)en_US
dc.subject.classificationthema EDItEUR::J Society and Social Sciences::JN Education::JNQ Open learning, distance educationen_US
dc.subject.otherLearning Science Discoveries,Competency Definitions,Playing Store,Learning Engineering,Mental Models,Human Computer Interaction Institute,Learning Sciences,Learning Sciences Framework,Assessment Events,Formative Performance Assessments,Desirable Difficulty,Chess Masters,Cognitive Load,Long Term Memory,Learner Variability,Negative Numbers,Fractional Quantities,Imperfect Understanding,Background Knowledge,Wo,Light Switch,Beatles,Noncognitive Factorsen_US
dc.titleChapter 2 Learning Engineering Applies the Learning Sciencesen_US
dc.typechapter
oapen.identifier.doi10.4324/9781003276579-6en_US
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bben_US
oapen.relation.isPartOfBook23f817e1-b552-46eb-8005-3b73c15e8aa4en_US
oapen.relation.isbn9781032208503en_US
oapen.relation.isbn9781032232829en_US
oapen.imprintRoutledgeen_US
oapen.pages37en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record