Using Predictive Analytics to Improve Student Success
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As provost of a regional university, Tristan Denley has pioneered a wide variety of initiatives to improve college completion and students' academic success. These ideas stretch from institutional transformation and course redesign in a variety of disciplines, to the role of predictive analytics and data mining in higher education. His most recent work has created a course recommendation system that successfully pairs current students with the courses that best fit their talents and program of study for upcoming semesters. This system, which combines hundreds of thousands of past students' grades with each student's transcript to make individualized recommendations for current students, was an award winner at this year's IMS Global Learning Impact Awards.
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FOR THIS ITEM
The possibilities for targeted academic support based on predictive analytics are particularly interesting. #E12_FS02
I'd love to see how we can help students better understand their options for classes, majors and careers with predictive analytics #E12_FS02
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Learning how analytics can really improve student success #E12_FS02
Austin Peay looking at what happens after graduation to help decision on which major to follow #edu12 #e12_fs02
Students taking recommended courses are getting better grades - better grades mean that students are more likely to return #edu12 #e12_fs02
Bit surprised that there has been no talk of student's use of social media in making module selections... #edu12 #e12_fs02
Interested to know if Austin Peay's prediction model considers the modality of the course as well to predict student success. #E12_FS02
Use historic grade data together with student entry grades to predict grades for degree path - has proved to be v. accurate #edu12 #e12_fs02
Students don't make informed choices when picking their programme - but the information we provide isn't helpful #e12_fs02 #edu12