Matches in SemOpenAlex for { <https://semopenalex.org/work/W2260495178> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2260495178 abstract "Abstract A Grand Challenge-based Framework for Contextual Learning in EngineeringA key finding within the current engineering education literature is that exposure to real-worldapplications – especially when presented in an active, experiential learning environment –increases both student interest and pedagogical effectiveness. This idea of contextual learning,learning designed so that students can carry out activities and solve problems in ways that reflectthe real-world nature of such tasks, is based on cognitive learning theory and current research incognitive psychology and neuroscience. Such research suggests that initial learning, transfer ofthat learning to other contexts, and retention of learned material is facilitated when concepts arepresented in a familiar or relatable context. That is, students are motivated when learning hasmeaning.The National Academy of Engineering recently outlined twelve Grand Challenges forEngineering (e.g., “Reverse Engineering the Brain”) that collectively constitute some of thelargest and most pressing real-world issues facing engineering research and practice. We havedevleoped an instructional framework for engineering education that utilizes these GrandChallenges as the context for teaching a wide range of concepts. The framework comprises sixstages, each building upon its predecessor. Students first progress from thinking about the grand,overarching theme from a multitude of perspectives to focusing on a discipline-specific view ofthe challenge (Stages 1-3). Then, they concentrate on learning the specific course content andapplying what they have learned to a specific, real-world problem inspired by the overarchingGrand Challenge (Stages 4-5). Finally, they analyze what they have learned from the hands-onactivities and reflect back on how this can inform their understanding of, and solutions to, theGrand Challenge (Stage 6).This paper begins with a description of the framework including its foundation in contextuallearning theory and the motivation for using the Grand Challenges. Subsequently, theimplementation of the framework in two engineering courses is described: ComputationalMethods in Engineering, which is required of all freshman engineers, and Fundamentals ofDigital Signal Processing, which is an elective course taken by junior and senior students inElectrical and Computer Engineering and Biomedical Engineering. Details of the learningmodules and activities corresponding to the six stages of the framework are presented for eachcourse. Similarities and differences in implementation are highlighted, illustrating how acommon framework can be applied to seemingly very different courses. Finally, the use of theframework is evaluated in terms of its impact on student motivation and learning usingpsychologically rigorous measures.." @default.
- W2260495178 created "2016-06-24" @default.
- W2260495178 creator A5003326450 @default.
- W2260495178 creator A5012826270 @default.
- W2260495178 creator A5021479983 @default.
- W2260495178 creator A5039971555 @default.
- W2260495178 creator A5063500491 @default.
- W2260495178 creator A5087667739 @default.
- W2260495178 date "2020-09-04" @default.
- W2260495178 modified "2023-09-26" @default.
- W2260495178 title "A Grand Challenge-based Framework for Contextual Learning in Engineering" @default.
- W2260495178 cites W1487239304 @default.
- W2260495178 cites W1504630295 @default.
- W2260495178 cites W1519154393 @default.
- W2260495178 cites W1551423304 @default.
- W2260495178 cites W1761828760 @default.
- W2260495178 cites W2093272057 @default.
- W2260495178 cites W2095052578 @default.
- W2260495178 cites W2105820151 @default.
- W2260495178 cites W2116199508 @default.
- W2260495178 cites W2128852589 @default.
- W2260495178 cites W2136131815 @default.
- W2260495178 cites W2168765820 @default.
- W2260495178 cites W594457923 @default.
- W2260495178 doi "https://doi.org/10.18260/1-2--19065" @default.
- W2260495178 hasPublicationYear "2020" @default.
- W2260495178 type Work @default.
- W2260495178 sameAs 2260495178 @default.
- W2260495178 citedByCount "2" @default.
- W2260495178 countsByYear W22604951782015 @default.
- W2260495178 countsByYear W22604951782020 @default.
- W2260495178 crossrefType "proceedings-article" @default.
- W2260495178 hasAuthorship W2260495178A5003326450 @default.
- W2260495178 hasAuthorship W2260495178A5012826270 @default.
- W2260495178 hasAuthorship W2260495178A5021479983 @default.
- W2260495178 hasAuthorship W2260495178A5039971555 @default.
- W2260495178 hasAuthorship W2260495178A5063500491 @default.
- W2260495178 hasAuthorship W2260495178A5087667739 @default.
- W2260495178 hasBestOaLocation W22604951781 @default.
- W2260495178 hasConcept C110354214 @default.
- W2260495178 hasConcept C111472728 @default.
- W2260495178 hasConcept C111919701 @default.
- W2260495178 hasConcept C127413603 @default.
- W2260495178 hasConcept C136764020 @default.
- W2260495178 hasConcept C138885662 @default.
- W2260495178 hasConcept C145420912 @default.
- W2260495178 hasConcept C151730666 @default.
- W2260495178 hasConcept C154945302 @default.
- W2260495178 hasConcept C15744967 @default.
- W2260495178 hasConcept C188147891 @default.
- W2260495178 hasConcept C2777362162 @default.
- W2260495178 hasConcept C2779343474 @default.
- W2260495178 hasConcept C2780565519 @default.
- W2260495178 hasConcept C33566652 @default.
- W2260495178 hasConcept C37228920 @default.
- W2260495178 hasConcept C41008148 @default.
- W2260495178 hasConcept C5041995 @default.
- W2260495178 hasConcept C77967617 @default.
- W2260495178 hasConcept C86803240 @default.
- W2260495178 hasConcept C96427005 @default.
- W2260495178 hasConceptScore W2260495178C110354214 @default.
- W2260495178 hasConceptScore W2260495178C111472728 @default.
- W2260495178 hasConceptScore W2260495178C111919701 @default.
- W2260495178 hasConceptScore W2260495178C127413603 @default.
- W2260495178 hasConceptScore W2260495178C136764020 @default.
- W2260495178 hasConceptScore W2260495178C138885662 @default.
- W2260495178 hasConceptScore W2260495178C145420912 @default.
- W2260495178 hasConceptScore W2260495178C151730666 @default.
- W2260495178 hasConceptScore W2260495178C154945302 @default.
- W2260495178 hasConceptScore W2260495178C15744967 @default.
- W2260495178 hasConceptScore W2260495178C188147891 @default.
- W2260495178 hasConceptScore W2260495178C2777362162 @default.
- W2260495178 hasConceptScore W2260495178C2779343474 @default.
- W2260495178 hasConceptScore W2260495178C2780565519 @default.
- W2260495178 hasConceptScore W2260495178C33566652 @default.
- W2260495178 hasConceptScore W2260495178C37228920 @default.
- W2260495178 hasConceptScore W2260495178C41008148 @default.
- W2260495178 hasConceptScore W2260495178C5041995 @default.
- W2260495178 hasConceptScore W2260495178C77967617 @default.
- W2260495178 hasConceptScore W2260495178C86803240 @default.
- W2260495178 hasConceptScore W2260495178C96427005 @default.
- W2260495178 hasLocation W22604951781 @default.
- W2260495178 hasLocation W22604951782 @default.
- W2260495178 hasOpenAccess W2260495178 @default.
- W2260495178 hasPrimaryLocation W22604951781 @default.
- W2260495178 hasRelatedWork W1537148931 @default.
- W2260495178 hasRelatedWork W1583727702 @default.
- W2260495178 hasRelatedWork W2073167752 @default.
- W2260495178 hasRelatedWork W2108044811 @default.
- W2260495178 hasRelatedWork W2124337041 @default.
- W2260495178 hasRelatedWork W2338451903 @default.
- W2260495178 hasRelatedWork W2476564462 @default.
- W2260495178 hasRelatedWork W2755997398 @default.
- W2260495178 hasRelatedWork W2938181240 @default.
- W2260495178 hasRelatedWork W2183624479 @default.
- W2260495178 isParatext "false" @default.
- W2260495178 isRetracted "false" @default.
- W2260495178 magId "2260495178" @default.
- W2260495178 workType "article" @default.