Supporting Student Success Through Predictive Analytics: Preparing to Intervene

Kerry Rice; Andy Hung

Supporting Student Success Through Predictive Analytics: Preparing to Intervene

Kerry Rice, Andy Hung

Educational Leadership, Research, and Technology

Boise State University

Research output: Contribution to conference › Presentation

Abstract

Researchers will present findings from a series of three data mining studies designed to test the accuracy and power of differing Educational Data Mining, Machine, and Deep Learning methods. The design of an intervention study in the spring of 2020 will also be discussed along with any preliminary findings.

Original language	American English
State	Published - Mar 2020
Event	2020 Conference of the Society for Information Technology and Teacher Education - Virtual Duration: 1 Mar 2020 → …

Conference

Conference	2020 Conference of the Society for Information Technology and Teacher Education
Period	1/03/20 → …

EGS Disciplines

Educational Technology

Cite this

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title = "Supporting Student Success Through Predictive Analytics: Preparing to Intervene",

abstract = " Researchers will present findings from a series of three data mining studies designed to test the accuracy and power of differing Educational Data Mining, Machine, and Deep Learning methods. The design of an intervention study in the spring of 2020 will also be discussed along with any preliminary findings. ",

author = "Kerry Rice and Andy Hung",

note = "Researchers will present findings from a series of three data mining studies designed to test the accuracy and power of differing Educational Data Mining, Machine, and Deep Learning methods. The design of an intervention study in the spring of 2020 will also be discussed along with any preliminary findings.; 2020 Conference of the Society for Information Technology and Teacher Education ; Conference date: 01-03-2020",

year = "2020",

month = mar,

language = "American English",

}

TY - CONF

T1 - Supporting Student Success Through Predictive Analytics: Preparing to Intervene

AU - Rice, Kerry

AU - Hung, Andy

N1 - Researchers will present findings from a series of three data mining studies designed to test the accuracy and power of differing Educational Data Mining, Machine, and Deep Learning methods. The design of an intervention study in the spring of 2020 will also be discussed along with any preliminary findings.

PY - 2020/3

Y1 - 2020/3

N2 - Researchers will present findings from a series of three data mining studies designed to test the accuracy and power of differing Educational Data Mining, Machine, and Deep Learning methods. The design of an intervention study in the spring of 2020 will also be discussed along with any preliminary findings.

AB - Researchers will present findings from a series of three data mining studies designed to test the accuracy and power of differing Educational Data Mining, Machine, and Deep Learning methods. The design of an intervention study in the spring of 2020 will also be discussed along with any preliminary findings.

UR - https://www.learntechlib.org/p/215814/

M3 - Presentation

T2 - 2020 Conference of the Society for Information Technology and Teacher Education

Y2 - 1 March 2020

ER -

Supporting Student Success Through Predictive Analytics: Preparing to Intervene

Abstract

Conference

EGS Disciplines

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