dc.contributor.author | Pappas, Ilias | |
dc.contributor.author | Papavlasopoulou, Sofia | |
dc.contributor.author | Giannakos, Michail | |
dc.contributor.author | Sampson, Demetrios G. | |
dc.date.accessioned | 2018-04-24T06:58:05Z | |
dc.date.available | 2018-04-24T06:58:05Z | |
dc.date.created | 2017-09-07T16:35:07Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-1-5386-3870-5 | |
dc.identifier.uri | http://hdl.handle.net/11250/2495537 | |
dc.description.abstract | Programming-based making activities are at the core of teaching strategies to engage young students in learning programming for developing computational thinking skills. Despite the initial evidences of enthusiastic participation in such activities, more systematic studies are needed to better understand drivers of students' intentions to participate in programming-based making activities. In this paper, we present an exploratory study which aim to address this issue by examining the interrelations among cognitive (i.e., perceived usefulness, perceived ease of use) and affective (i.e., enjoyment) characteristics for both boys and girls. To this end, we build on complexity theory and configuration theory, present a conceptual model, and employ fuzzy-set Qualitative Comparative Analysis (fsQCA) on a sample of 105 young students, to identify such interrelations. The findings provide insights on how the examined factors may have a different influence for boys and girls, an outcome that can be used to re-design educational programs targeting maximizing engagement regardless gender. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | nb_NO |
dc.relation.ispartof | 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT) | |
dc.title | An Exploratory Study on the Influence of Cognitive and Affective Characteristics in Programming-Based Making Activities | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 507-511 | nb_NO |
dc.identifier.doi | 10.1109/ICALT.2017.78 | |
dc.identifier.cristin | 1491879 | |
dc.relation.project | Norges forskningsråd: 255129 | nb_NO |
dc.description.localcode | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 1 | |