Chapter 2 Learning Engineering Applies the Learning Sciences
dc.contributor.author | Goodell, Jim | |
dc.contributor.author | Kolodner, Janet | |
dc.contributor.author | Kessler, Aaron | |
dc.date.accessioned | 2024-11-11T10:10:51Z | |
dc.date.available | 2024-11-11T10:10:51Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/94544 | |
dc.description.abstract | 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, 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.language | English | en_US |
dc.subject.classification | thema EDItEUR::J Society and Social Sciences::JN Education | en_US |
dc.subject.classification | thema EDItEUR::J Society and Social Sciences::JN Education::JNM Higher education, tertiary education | en_US |
dc.subject.classification | thema EDItEUR::J Society and Social Sciences::JN Education::JNV Educational equipment and technology, computer-aided learning (CAL) | en_US |
dc.subject.classification | thema EDItEUR::J Society and Social Sciences::JN Education::JNQ Open learning, distance education | en_US |
dc.subject.other | Learning 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 Factors | en_US |
dc.title | Chapter 2 Learning Engineering Applies the Learning Sciences | en_US |
dc.type | chapter | |
oapen.identifier.doi | 10.4324/9781003276579-6 | en_US |
oapen.relation.isPublishedBy | 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb | en_US |
oapen.relation.isPartOfBook | 23f817e1-b552-46eb-8005-3b73c15e8aa4 | en_US |
oapen.relation.isbn | 9781032208503 | en_US |
oapen.relation.isbn | 9781032232829 | en_US |
oapen.imprint | Routledge | en_US |
oapen.pages | 37 | en_US |