{"id":1678,"date":"2017-02-09T16:22:03","date_gmt":"2017-02-09T21:22:03","guid":{"rendered":"https:\/\/michigan.it.umich.edu\/news\/?p=1678"},"modified":"2024-07-08T06:06:36","modified_gmt":"2024-07-08T10:06:36","slug":"predicting-student-success","status":"publish","type":"post","link":"https:\/\/michigan.it.umich.edu\/news\/2017\/02\/09\/predicting-student-success\/","title":{"rendered":"Predicting student success"},"content":{"rendered":"<p><a href=\"http:\/\/ns.umich.edu\/new\/releases\/24255-ecoach-tool-now-used-for-first-year-u-m-students\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1680 size-medium alignleft\" src=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-300x210.jpg\" alt=\"Ecoach logo: personalized messaging to students\" width=\"300\" height=\"210\" srcset=\"https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-300x210.jpg 300w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-150x105.jpg 150w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-200x140.jpg 200w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-60x42.jpg 60w, https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg 435w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a><\/p>\n<p>A growing number of colleges and universities are using what is known as predictive analytics to <a href=\"https:\/\/www.nytimes.com\/2017\/02\/02\/education\/edlife\/will-you-graduate-ask-big-data.html?src=twr\">spot students in danger of dropping out<\/a>. Crunching hundreds of thousands and sometimes millions of student academic and personal records, past and present, they are coming up with courses that signal a need for intervention. \u00a0First year students at U-M\u00a0began using a tool in the fall that mixes their personal and academic data with data on how earlier students did, advice from them and study guides from professors. After students complete a survey about their expectations for success in a course, the program digs into the data to see if those expectations are realistic. When they sign on, it takes them through questions and answers in what feels like a conversation.\u00a0<strong>Tim McKay<\/strong>, the professor of physics, astronomy and education who created the application, called <a href=\"http:\/\/ns.umich.edu\/new\/releases\/24255-ecoach-tool-now-used-for-first-year-u-m-students\">ECoach<\/a>, said thousands of students who regularly used the application over six years of testing often earned a third of a letter grade higher than those who did not use it.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A growing number of colleges and universities are using what is known as predictive analytics to spot students in danger of dropping out. Crunching hundreds of thousands and sometimes millions of student academic and personal records, past and present, they are coming up with courses that signal a need for intervention. \u00a0First year students at U-M\u00a0began using a\u2026 <span class=\"read-more\"><a href=\"https:\/\/michigan.it.umich.edu\/news\/2017\/02\/09\/predicting-student-success\/\">Read More &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":1680,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_umich_oidc_access":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_ef_editorial_meta_date_first-draft-date":"","_ef_editorial_meta_paragraph_assignment":"","_ef_editorial_meta_checkbox_needs-photo":"","_ef_editorial_meta_number_word-count":"","footnotes":""},"categories":[5],"tags":[43,96],"class_list":["post-1678","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-campus-news","tag-data","tag-students"],"uagb_featured_image_src":{"full":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg",435,305,false],"thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-150x105.jpg",150,105,true],"medium":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-300x210.jpg",300,210,true],"medium_large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg",435,305,false],"large":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg",435,305,false],"1536x1536":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg",435,305,false],"2048x2048":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg",435,305,false],"excerpt-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-200x140.jpg",200,140,true],"themonic-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-60x42.jpg",60,42,true],"ioslider-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo-435x300.jpg",435,300,true],"post-thumbnail":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg",435,305,false],"400x250-crop":["https:\/\/michigan.it.umich.edu\/news\/wp-content\/uploads\/2017\/02\/ecoach-logo.jpg",357,250,false]},"uagb_author_info":{"display_name":"News Staff","author_link":"https:\/\/michigan.it.umich.edu\/news\/author\/mitnewsadm\/"},"uagb_comment_info":0,"uagb_excerpt":"A growing number of colleges and universities are using what is known as predictive analytics to spot students in danger of dropping out. Crunching hundreds of thousands and sometimes millions of student academic and personal records, past and present, they are coming up with courses that signal a need for intervention. \u00a0First year students at&hellip;","_links":{"self":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/1678","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/comments?post=1678"}],"version-history":[{"count":7,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/1678\/revisions"}],"predecessor-version":[{"id":2416,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/posts\/1678\/revisions\/2416"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media\/1680"}],"wp:attachment":[{"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/media?parent=1678"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/categories?post=1678"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/michigan.it.umich.edu\/news\/wp-json\/wp\/v2\/tags?post=1678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}