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D R . M A C A D K I N S
P R E S I D E N T , S M A R T E R S E R V I C E S
Noncognitive Readiness Data
Feel Your Pain
 I understand your need not just to collect data, but to
make meaning in actionable ways from the data.
 Ph.D. in Higher Education Leadership, Auburn
University, 1995
 Served as a Dean at two regionally accredited universities
 Served as a data analyst in and institutional effectiveness office
for three years
Touching the Elephant
Types of Data Used To Predict Learner Success
WHAT
Academic Success –
GPA, Standardized Tests
Demographic – Income
level, First generation college
student
Learning Pathways – Blackboard
Engagement - Starfish
WHY
SmarterMeasure
Learning Readiness
Indicator
Data about
“WHY”
a student does
something is
actionable.
SmarterMeasure
Learning Readiness Indicator
 A 124-item online skills test and attributes
inventory that measures a student’s level of
readiness for studying online
 Used by over 500 Colleges and Universities
 Since 2002 taken by over 2,225,000 students
What Does The Assessment Measure?
INTERNAL
INDIVIDUAL
ATTRIBUTES
Motivation
Procrastination
Time Management
Help Seeking
Locus of Control
LEARNING STYLES
Visual / Verbal
Social / Solitary
Physical / Aural
Logical
EXTERNAL
LIFE FACTORS
Availability of Time
Dedicated Place
Reason
Support from Family
SKILLS
TECHNICAL
Technology Usage
Life Application
Tech Vocabulary
Computing Access
TYPING
Rate
Accuracy
ON-SCREEN
READING
Rate
Recall
WCET Survey, May 2013
Noncognitive Data is a Valid Indicator
of Student Success & Retention
Middlesex Community College
 Before SmarterMeasure™ was implemented, 6% to
13% more students failed online courses than
students taking on-ground courses. After the
implementation, the gaps were narrowed: 1.3% to
5.8% more online students failed than on-ground
students.
Academic Success Rates
0
10
20
30
40
50
60
70
Skills Resources Time
High Score
Low Score
Less than 10% of students with low scores
experienced academic success.
Statistically Significant Relationships
Academic
Achievement
Engagement Retention
Individual
Attributes
X X X
Technical
Knowledge
X X X
Learning
Styles
X X
Life Factors X X
Technical
Competency
X
Using Discriminant Analysis a composite using the
scales of Life Factors, Individual
Attributes, Technical Competency, Technical
Knowledge, and Learning Styles was created to
predict levels of engagement and satisfaction with
93% classification accuracy.
Statistically significant correlations were found between
SmarterMeasure scores and student satisfaction, retention and
academic success.
Satisfaction
Retention
Success
Technical
Motivation
Time
Readiness and Satisfaction
Comparison to Compass Scores
X indicates statistically significant correlation between scores
For More Info
SmarterServices.com or SmarterMeasure.com
(877) 499-SMARTER
mac@SmarterServices.com

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WCET Leadership Summit - SmarterMeasure & Noncognitive Readiness Data

  • 1. D R . M A C A D K I N S P R E S I D E N T , S M A R T E R S E R V I C E S Noncognitive Readiness Data
  • 2. Feel Your Pain  I understand your need not just to collect data, but to make meaning in actionable ways from the data.  Ph.D. in Higher Education Leadership, Auburn University, 1995  Served as a Dean at two regionally accredited universities  Served as a data analyst in and institutional effectiveness office for three years
  • 4. Types of Data Used To Predict Learner Success WHAT Academic Success – GPA, Standardized Tests Demographic – Income level, First generation college student Learning Pathways – Blackboard Engagement - Starfish WHY SmarterMeasure Learning Readiness Indicator Data about “WHY” a student does something is actionable.
  • 5. SmarterMeasure Learning Readiness Indicator  A 124-item online skills test and attributes inventory that measures a student’s level of readiness for studying online  Used by over 500 Colleges and Universities  Since 2002 taken by over 2,225,000 students
  • 6. What Does The Assessment Measure? INTERNAL INDIVIDUAL ATTRIBUTES Motivation Procrastination Time Management Help Seeking Locus of Control LEARNING STYLES Visual / Verbal Social / Solitary Physical / Aural Logical EXTERNAL LIFE FACTORS Availability of Time Dedicated Place Reason Support from Family SKILLS TECHNICAL Technology Usage Life Application Tech Vocabulary Computing Access TYPING Rate Accuracy ON-SCREEN READING Rate Recall
  • 8. Noncognitive Data is a Valid Indicator of Student Success & Retention Middlesex Community College  Before SmarterMeasure™ was implemented, 6% to 13% more students failed online courses than students taking on-ground courses. After the implementation, the gaps were narrowed: 1.3% to 5.8% more online students failed than on-ground students.
  • 9. Academic Success Rates 0 10 20 30 40 50 60 70 Skills Resources Time High Score Low Score Less than 10% of students with low scores experienced academic success.
  • 10. Statistically Significant Relationships Academic Achievement Engagement Retention Individual Attributes X X X Technical Knowledge X X X Learning Styles X X Life Factors X X Technical Competency X
  • 11. Using Discriminant Analysis a composite using the scales of Life Factors, Individual Attributes, Technical Competency, Technical Knowledge, and Learning Styles was created to predict levels of engagement and satisfaction with 93% classification accuracy.
  • 12. Statistically significant correlations were found between SmarterMeasure scores and student satisfaction, retention and academic success. Satisfaction Retention Success Technical Motivation Time
  • 14. Comparison to Compass Scores X indicates statistically significant correlation between scores
  • 15. For More Info SmarterServices.com or SmarterMeasure.com (877) 499-SMARTER mac@SmarterServices.com