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Data Mining to Data Mining to Predict Student Predict Student Success Success in a Large Class in a Large Class Perry Samson Perry Samson College of Engineering College of Engineering University of Michiganr University of Michiganr [email protected] [email protected] @pjsamson @pjsamson and Hybrid

Data Mining to Predict Student Success @A_L_T #altc

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Data Mining to Predict Student Success in a Large Hybrid Class. Presentation for ALT-C 2014 @A_L_T #altc

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Page 1: Data Mining to Predict Student Success  @A_L_T #altc

Data Mining to Data Mining to Predict Student Predict Student Success Success in a Large Classin a Large Class

Perry SamsonPerry SamsonCollege of EngineeringCollege of EngineeringUniversity of MichiganrUniversity of Michiganr

[email protected]@umich.edu@pjsamson@pjsamsonand Hybrid

Page 2: Data Mining to Predict Student Success  @A_L_T #altc

What Affects Student Learning?

Act

ivit

ies

Gra

des

Page 3: Data Mining to Predict Student Success  @A_L_T #altc

What Affects Student Learning?

Intrinsic Influences• Before class

• During class

• After class

Extrinsic Influences• History

• Motivation

• Wellness

Page 4: Data Mining to Predict Student Success  @A_L_T #altc

Type Notes synchronized to slides

Type notes here

Browse slides

Pose/review questions

Pose/review questions

Annotate slides

Bookmark slides

Note confusion

MONITORING STUDENT PARTICIPATION

Learning Analytics: Data Collection

Page 5: Data Mining to Predict Student Success  @A_L_T #altc

MONITORING STUDENT PARTICIPATION

Learning Analytics: Data Collection

Page 6: Data Mining to Predict Student Success  @A_L_T #altc

MONITORING STUDENT PARTICIPATION

Learning Analytics: Data Collection

Page 7: Data Mining to Predict Student Success  @A_L_T #altc

Question #1

What Aspects of Student Participation Affect Student Outcomes?

Page 8: Data Mining to Predict Student Success  @A_L_T #altc

Lesson #1

Student outcomes are modestly related to the students’ motivations.

Lesson #1

Student outcomes are modestly related to the students’ motivations.

Learning Analytics: Extrinsic Affects

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“Where on this wellness chart would you put yourself today?”

Learning Analytics: Extrinsic Affects

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Physical State Emotional State

Learning Analytics: Extrinsic Affects

Lesson #2 Student outcomes are somewhat related to student wellness.

Lesson #2 Student outcomes are somewhat related to student wellness.

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Learning Analytics: Intrinsic Effects

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Lesson #3Student outcomes are unrelated to whether students participate face-to-face or remotely.

Lesson #3Student outcomes are unrelated to whether students participate face-to-face or remotely.

In a Hybrid Class Outcomes are Unrelated to Location

Learning Analytics: Intrinsic Effects

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Lesson #4

Student outcomes are related to their level of participation* in class.

Lesson #4

Student outcomes are related to their level of participation* in class.

Outcomes ARE Related to In-Class Participation

Learning Analytics: Intrinsic Effects

Page 14: Data Mining to Predict Student Success  @A_L_T #altc

Lesson #5

Student outcomes are related to their performance in class.

Lesson #5

Student outcomes are related to their performance in class.

Outcomes ARE Related to In-Class Performance

Learning Analytics: Intrinsic Effects

Page 15: Data Mining to Predict Student Success  @A_L_T #altc

Learning Analytics: Intrinsic Effects

Page 16: Data Mining to Predict Student Success  @A_L_T #altc

Lesson #6

Student outcomes are related to the number of slides for which they take notes.

Lesson #6

Student outcomes are related to the number of slides for which they take notes.

Learning Analytics: Intrinsic Effects

Page 17: Data Mining to Predict Student Success  @A_L_T #altc

Do Higher GPA Students Behave Differently than Lower GPA Students?

Question #2

Page 18: Data Mining to Predict Student Success  @A_L_T #altc

Participation vs. GPA

Learning Outcomes are Related to Incoming GPA

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Participation as a Function of Incoming GPA

Participation vs. GPA

Lesson #7

Students with lower incoming GPA answered about 70% of questions in class versus 85% for higher GPA students.

Lesson #7

Students with lower incoming GPA answered about 70% of questions in class versus 85% for higher GPA students.

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Participation as a Function of Incoming GPA

Participation vs. GPA

Lesson #8

Students with lower incoming GPA took notes on 5X fewer slides.

Lesson #8

Students with lower incoming GPA took notes on 5X fewer slides.

Page 21: Data Mining to Predict Student Success  @A_L_T #altc

Participation as a Function of Incoming GPA

Participation vs. GPA

Lesson #9

Students with lower were far more likely to participate remotely than higher GPA students.

Lesson #9

Students with lower were far more likely to participate remotely than higher GPA students.

Page 22: Data Mining to Predict Student Success  @A_L_T #altc

Thank you

http://www.sageonstage.com

@pjsamson