Backpack Process Model (BPPM): A Process Mining Approach for Curricular Analytics

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dc.catalogadorjwg
dc.contributor.authorSalazar Fernandez, Juan Pablo
dc.contributor.authorMuñoz Gama, Jorge
dc.contributor.authorMaldonado Mahauad, Jorge
dc.contributor.authorBustamante, Diego
dc.contributor.authorSepúlveda, Marcos
dc.date.accessioned2024-05-30T17:18:03Z
dc.date.available2024-05-30T17:18:03Z
dc.date.issued2021
dc.description.abstractCurricular analytics is the area of learning analytics that looks for insights and evidence on the relationship between curricular elements and the degree of achievement of curricular outcomes. For higher education institutions, curricular analytics can be useful for identifying the strengths and weaknesses of the curricula and for justifying changes in learning pathways for students. This work presents the study of curricular trajectories as processes (i.e., sequence of events) using process mining techniques. Specifically, the Backpack Process Model (BPPM) is defined as a novel model to unveil student trajectories, not by the courses that they take, but according to the courses that they have failed and have yet to pass. The usefulness of the proposed model is validated through the analysis of the curricular trajectories of N = 4466 engineering students considering the first courses in their program. We found differences between backpack trajectories that resulted in retention or in dropout; specific courses in the backpack and a larger initial backpack sizes were associated with a higher proportion of dropout. BPPM can contribute to understanding how students handle failed courses they must retake, providing information that could contribute to designing and implementing timely interventions in higher education institutions.
dc.description.funderNational Agency for Research and Development (ANID)
dc.description.funderNational Agency for Research and Development (ANID)/FONDECYT-Chile
dc.description.funderDireccion de Investigacion de la Universidad de Cuenca (DIUC)
dc.description.funderEscuela de Ingenieria UC/Investigacion en Pregrado (IPRE)
dc.format.extent18 páginas
dc.fuente.origenWOS
dc.identifier.doi10.3390/app11094265
dc.identifier.eissn2076-3417
dc.identifier.urihttps://doi.org/10.3390/app11094265
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86089
dc.identifier.wosidWOS:000649890800001
dc.information.autorucEscuela de Ingeniería; Munoz Gama, Jorge; 0000-0002-6908-3911; 1013863
dc.issue.numero9
dc.language.isoen
dc.nota.accesocontenido parcial
dc.publisherMDPI
dc.revistaAPPLIED SCIENCES-BASEL
dc.rightsacceso restringido
dc.subject.ddc370
dc.subject.deweyEducaciónes_ES
dc.titleBackpack Process Model (BPPM): A Process Mining Approach for Curricular Analytics
dc.typeartículo
dc.volumen11
sipa.codpersvinculados1013863
sipa.trazabilidadORCID;2024-05-30
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