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dc.contributor.authorSharma, Kshitij
dc.contributor.authorPapavlasopoulou, Sofia
dc.contributor.authorGiannakos, Michail
dc.date.accessioned2022-04-07T08:24:23Z
dc.date.available2022-04-07T08:24:23Z
dc.date.created2022-01-20T15:16:10Z
dc.date.issued2021
dc.identifier.isbn978-1-4503-8989-1
dc.identifier.urihttps://hdl.handle.net/11250/2990406
dc.description.abstractEducational research has used the information extracted from facial expressions to explain learning performance in a variety of educational settings like collaborative learning. Leveraging this, we extracted the emotions of frustration, confusion and boredom from videos with children aged 13-16 years old while they were collaborating to create games using Scratch. After we computed the groups’ coding performance, based on the created artifacts, we divided them into high and low performance and compared them on the basis of individual emotions’ duration and the transitions among the emotions. The results show that the children from the high performing teams show more confusion and frustration and more often from confusion and frustration to delight and neutral. The low performing teams show more boredom and move to this emotion from any other. Based on the results, we suggest implications both for the instructors and students.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartofFabLearn Europe / MakeEd 2021: FabLearn Europe / MakeEd 2021 - An International Conference on Computing, Design and Making in Education
dc.relation.urihttps://dl.acm.org/doi/abs/10.1145/3466725.3466757
dc.titleFaces Don’t Lie: Analysis of Children’s Facial expressions during Collaborative Codingen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThis is the authors' accepted manuscript to an article published by ACM.en_US
dc.identifier.doi10.1145/3466725.3466757
dc.identifier.cristin1986475
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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