Educational Data Mining in Program Evaluation: Lessons Learned

Kerry Rice; Jui-Long Hung; Yu-Chang Hsu; Brett Shelton

Educational Data Mining in Program Evaluation: Lessons Learned

Educational Leadership, Research, and Technology

Research output: Contribution to conference › Presentation

Abstract

Researchers present findings from a series of data mining studies, primarily examining data mining as part of an innovative triangulated approach in program evaluation. Findings suggest that is it possible to apply EDM techniques in online and blended learning classrooms to identify key variables important to the success of learners. Lessons learned will be shared as well as areas for improving data collection in learning management systems for meaningful analysis and visualization.

Original language	American English
State	Published - 19 Oct 2016
Event	Association for Educational Communications and Technology (AECT) 2016 Convention - Las Vegas, NV Duration: 19 Oct 2016 → …

Conference

Conference	Association for Educational Communications and Technology (AECT) 2016 Convention
Period	19/10/16 → …

EGS Disciplines

Educational Assessment, Evaluation, and Research

Cite this

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title = "Educational Data Mining in Program Evaluation: Lessons Learned",

abstract = " Researchers present findings from a series of data mining studies, primarily examining data mining as part of an innovative triangulated approach in program evaluation. Findings suggest that is it possible to apply EDM techniques in online and blended learning classrooms to identify key variables important to the success of learners. Lessons learned will be shared as well as areas for improving data collection in learning management systems for meaningful analysis and visualization.",

author = "Kerry Rice and Jui-Long Hung and Yu-Chang Hsu and Brett Shelton",

year = "2016",

month = oct,

day = "19",

language = "American English",

note = "Association for Educational Communications and Technology (AECT) 2016 Convention ; Conference date: 19-10-2016",

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TY - CONF

T1 - Educational Data Mining in Program Evaluation: Lessons Learned

AU - Rice, Kerry

AU - Hung, Jui-Long

AU - Hsu, Yu-Chang

AU - Shelton, Brett

PY - 2016/10/19

Y1 - 2016/10/19

N2 - Researchers present findings from a series of data mining studies, primarily examining data mining as part of an innovative triangulated approach in program evaluation. Findings suggest that is it possible to apply EDM techniques in online and blended learning classrooms to identify key variables important to the success of learners. Lessons learned will be shared as well as areas for improving data collection in learning management systems for meaningful analysis and visualization.

AB - Researchers present findings from a series of data mining studies, primarily examining data mining as part of an innovative triangulated approach in program evaluation. Findings suggest that is it possible to apply EDM techniques in online and blended learning classrooms to identify key variables important to the success of learners. Lessons learned will be shared as well as areas for improving data collection in learning management systems for meaningful analysis and visualization.

M3 - Presentation

T2 - Association for Educational Communications and Technology (AECT) 2016 Convention

Y2 - 19 October 2016

ER -

Educational Data Mining in Program Evaluation: Lessons Learned

Abstract

Conference

EGS Disciplines

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