			{"id":127270,"date":"2020-08-11T18:04:48","date_gmt":"2020-08-11T22:04:48","guid":{"rendered":"https:\/\/fsc-ccf.ca\/references\/using-predictive-modelling-to-inform-early-alert-and-intrusive-advising-interventions-and-improve-retention-2\/"},"modified":"2020-08-11T18:04:48","modified_gmt":"2020-08-11T22:04:48","slug":"using-predictive-modelling-to-inform-early-alert-and-intrusive-advising-interventions-and-improve-retention-2","status":"publish","type":"reference","link":"https:\/\/fsc-ccf.ca\/fr\/references\/using-predictive-modelling-to-inform-early-alert-and-intrusive-advising-interventions-and-improve-retention-2\/","title":{"rendered":"Using predictive modelling to inform early alert and intrusive advising interventions and improve retention"},"content":{"rendered":"<p>L&#8217;\u00e9tude globale comporte deux phases correspondantes de l&#8217;enqu\u00eate. La phase 1, qui fait l&#8217;objet du pr\u00e9sent rapport, repr\u00e9sente le travail entrepris EPRI de d\u00e9velopper davantage le mod\u00e8le pr\u00e9dictif de la r\u00e9tention des \u00e9tudiants au Coll\u00e8ge Mohawk; pour tester le mod\u00e8le pr\u00e9dictif et les pr\u00e9dictions qu&#8217;elle engendre; d&#8217;utiliser ce mod\u00e8le pour g\u00e9n\u00e9rer des pr\u00e9visions de la probabilit\u00e9 que tout \u00e9tudiant entrant donn\u00e9 partirait t\u00f4t Mohawk; d&#8217;utiliser ces pr\u00e9visions pour les \u00e9tudiants divisent en trois groupes \u00e0 risque (haut, moyen, bas); d&#8217;analyser la r\u00e9partition des \u00e9l\u00e8ves entre ces diff\u00e9rents groupes \u00e0 risque selon une gamme de particuliers, de programmes et d&#8217;autres caract\u00e9ristiques; et puis les taux de participation dans les programmes de calcul conseiller \u00e9tudiant existant entre les trois groupes de risque. Phase 2 (et le deuxi\u00e8me rapport) consistera en une analyse des interventions sp\u00e9cifiques offertes conseiller aux \u00e9tudiants de la cohorte d&#8217;entr\u00e9e 2015, y compris la fa\u00e7on dont les effets de ces interventions varient selon les groupes de risque des \u00e9l\u00e8ves identifi\u00e9s par le mod\u00e8le pr\u00e9dictif. En outre, cet article va non seulement par le d\u00e9veloppement et l&#8217;application du mod\u00e8le de pr\u00e9vision et d&#8217;analyse connexes, mais fournit \u00e9galement une couche de fond sur l&#8217;utilisation de la mod\u00e9lisation pr\u00e9dictive dans le cadre de l&#8217;analyse pr\u00e9dictive et la r\u00e9tention des \u00e9tudiants. La motivation pour une telle amorce provient de l&#8217;utilisation large du terme \u00ab mod\u00e9lisation pr\u00e9dictive \u00bb comme se rapportant \u00e0 la r\u00e9tention des \u00e9tudiants, et l&#8217;utilit\u00e9 potentielle d&#8217;identifier les concepts pertinents. Traduit a\u0300 l'aide de Google Translate<\/p>\n","protected":false},"excerpt":{"rendered":"<p>L&#8217;\u00e9tude globale comporte deux phases correspondantes de l&#8217;enqu\u00eate. La phase 1, qui fait l&#8217;objet du pr\u00e9sent rapport, repr\u00e9sente le travail entrepris EPRI de d\u00e9velopper davantage le mod\u00e8le pr\u00e9dictif de la r\u00e9tention des \u00e9tudiants au Coll\u00e8ge Mohawk; pour tester le mod\u00e8le pr\u00e9dictif et les pr\u00e9dictions qu&#8217;elle engendre; d&#8217;utiliser ce mod\u00e8le pour g\u00e9n\u00e9rer des pr\u00e9visions de la probabilit\u00e9 que tout \u00e9tudiant entrant donn\u00e9 partirait t\u00f4t Mohawk; d&#8217;utiliser ces pr\u00e9visions pour les \u00e9tudiants divisent en trois groupes \u00e0 risque (haut, moyen, bas); d&#8217;analyser la r\u00e9partition des \u00e9l\u00e8ves entre ces diff\u00e9rents groupes \u00e0 risque selon une gamme de particuliers, de programmes et d&#8217;autres caract\u00e9ristiques; et puis les taux de participation dans les programmes de calcul conseiller \u00e9tudiant existant entre les trois groupes de risque. Phase 2 (et le deuxi\u00e8me rapport) consistera en une analyse des interventions sp\u00e9cifiques offertes conseiller aux \u00e9tudiants de la cohorte d&#8217;entr\u00e9e 2015, y compris la fa\u00e7on dont les effets de ces interventions varient selon les groupes de risque des \u00e9l\u00e8ves identifi\u00e9s par le mod\u00e8le pr\u00e9dictif. En outre, cet article va non seulement par le d\u00e9veloppement et l&#8217;application du mod\u00e8le de pr\u00e9vision et d&#8217;analyse connexes, mais fournit \u00e9galement une couche de fond sur l&#8217;utilisation de la mod\u00e9lisation pr\u00e9dictive dans le cadre de l&#8217;analyse pr\u00e9dictive et la r\u00e9tention des \u00e9tudiants. La motivation pour une telle amorce provient de l&#8217;utilisation large du terme \u00ab mod\u00e9lisation pr\u00e9dictive \u00bb comme se rapportant \u00e0 la r\u00e9tention des \u00e9tudiants, et l&#8217;utilit\u00e9 potentielle d&#8217;identifier les concepts pertinents. [googletranslate_fr]<\/p>\n","protected":false},"template":"","reference-tag":[],"reference-type":[436],"class_list":["post-127270","reference","type-reference","status-publish","hentry","reference-type-white-paper"],"acf":{"citation":"Finnie, R., Fricker, T., Bozkurt, E., Poirier, W., and Pavlic, D. (2017). Using predictive modelling to inform early alert and intrusive advising interventions and improve retention. Toronto, ON: Higher Education Quality Council of Ontario (HEQCO). Retrieved from http:\/\/www.heqco.ca\/SiteCollectionDocuments\/Final%20Mohawk%20Predictive%20Modelling.pdf.","authors":"Finnie, R., Fricker, T., Bozkurt, E., Poirier, W., and Pavlic, D.","org":"Higher Education Quality Council of Ontario (HEQCO)","year":"2017","title_fr":null,"editors_hidden":"","publication":"","publication_fr":null,"volume":"","issue":"","Series":"","SeriesNumber":"","page_range":"","publisher_city":"Toronto","publisher_state":"ON","publisher":"Higher Education Quality Council of Ontario (HEQCO)","abstract_en":null,"abstract_fr":null,"keywords":"","paywall":"0","doi":"","isbn":"","url":"http:\/\/www.heqco.ca\/SiteCollectionDocuments\/Final%20Mohawk%20Predictive%20Modelling.pdf","url_fr":null,"url_amazon":"","TRACK":"0"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Using predictive modelling to inform early alert and intrusive advising interventions and improve retention - Future Skills Centre \u2022 Centre des Comp\u00e9tences futures<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fsc-ccf.ca\/fr\/references\/using-predictive-modelling-to-inform-early-alert-and-intrusive-advising-interventions-and-improve-retention-2\/\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/fsc-ccf.ca\\\/fr\\\/references\\\/using-predictive-modelling-to-inform-early-alert-and-intrusive-advising-interventions-and-improve-retention-2\\\/\",\"url\":\"https:\\\/\\\/fsc-ccf.ca\\\/fr\\\/references\\\/using-predictive-modelling-to-inform-early-alert-and-intrusive-advising-interventions-and-improve-retention-2\\\/\",\"name\":\"Using predictive modelling to inform early alert and intrusive advising interventions and improve retention - 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