1 / 8

Dropout in online HE: the case of UOC

Dropout in online HE: the case of UOC. Doctorand : Josep Grau Valldosera Tutor: Julià Minguillón Alfonso. Espai de paginació 2 / 25. Objectives. Why to investigate about Time Factor?

banyan
Download Presentation

Dropout in online HE: the case of UOC

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Dropout in online HE: the case of UOC Doctorand: Josep Grau Valldosera Tutor: JuliàMinguillón Alfonso Espai de paginació 2 / 25

  2. Objectives • Whytoinvestigateabout Time Factor? “The quantitative method dominant in the social and learning sciences—variable centered variance theory—is of limited value for studying change on longer time scales“ (Reimman, 2009) As long as we define dropoutbasedon a “long-term” perspectiveof studentsenrolmentbehaviourthroughalltheir “academicjourney”, itseemsthatweshouldconsider Time Factor in ourmethodology

  3. Objectives (II) Whichwereyourobjective/s? • A) Dropoutdefinition • takesintoaccount along-termperspective, based in the (non) enrolmentpattern of thestudentsduringconsecutiveperiods • B) Dropoutdescription (causal analysis?)  can a “dropoutprocess” bedefined?

  4. New student Break Active Dropout-definition Dropout first semester Grade Drop out

  5. Methodology • Approach: empirical (huge amount of data available) • Procedure: from general data (quantitative) to more specific (probably some interviews will be made) • Data collection •  definition objective: enrolment data extracted from academic records (~ 110.000 students)) •  description / cause analysis: possibly a collection of variables / events based on qualitative analysis? • Units of analysis: semester

  6. Reflectionson Time Factor Methodology

  7. Resultsorexpectedresults Application of anempirical and objectiveanalysis dropoutdefinition Characterisation of dropout (1st semester/ phase of “erosion” / random) Consideration of a time factor perspectiveto describe dropout and its causes

  8. Results summary by degree and total of degrees

More Related