6533b85afe1ef96bd12b8e25
RESEARCH PRODUCT
Epistemic network analyses of economics students' graph understanding. An eye-tracking study
Hendrik DrachslerOlga Zlatkin-troitschanskaiaJan SchneiderSebastian Brücknersubject
graph understandinglcsh:Chemical technologyBiochemistryAnalytical ChemistryPhysikGermanyEmpirische Bildungsforschunglcsh:TP1-1185Male studentVerstehenEye-Tracking TechnologyInstrumentation05 social sciences050301 educationWirtschaftswissenschaftenAtomic and Molecular Physics and OpticsTextual informationDatenanalysehigher educationGraph (abstract data type)AugenbewegungStudentNetwork analysisErziehung Schul- und BildungswesenBewegungsanalyseNetzwerkanalyseEpistemology050105 experimental psychologyArticleEducationddc:370ddc:330HumansLearning0501 psychology and cognitive sciencesElectrical and Electronic EngineeringStudentsDeutschlandeye-trackingDiagramHochschuleNetwork dataErkenntnistheorieHigher education instituteeconomicsGazeEpistemologyEye movementsepistemic network analysisDiagrammEye trackingErkenntnisddc:0040503 educationDiagramsdescription
Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular areas of a graph&mdash
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2020-12-01 |