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Data Driven Retention Strategies for Online Students

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Title: Data Driven Retention Strategies for Online Students


1
Data Driven Retention Strategies for Online
Students
2003 League CIT
Dr. Jeffrey P. BartkovichMarie J.
FetznerOctober 21, 2003
2
Purpose of Presentation
  • Provide an overview of MCCs online research
    agenda
  • Review research that impacts online student
    retention
  • Services
  • Policies
  • Discuss online retention strategies that are
    informed by research data

3
MCCs Online Program
  • Joined SUNY Learning Network (SLN) in 1997
  • Fall 2002 1,716 non-duplicated headcount
  • 44.2 FT 59.8 PT
  • 37.4 online only 62.6 OL and other
  • OL represents 10.7 of MCCs enrollment
  • 71.3 Female 28.7 Male
  • Over 120 course sections

4
MCCs Online Research Agenda
  • Level 1 Descriptive
  • Basic demographics
  • Basic production
  • Basic enrollment
  • Basic finance

5
MCCs Online Research Agenda
  • Level 2 Evaluative
  • Basic performance
  • Student and faculty satisfaction
  • Integration with campus IR
  • Modify existing surveys to fit

6
MCCs Online Research Agenda
  • Level 3 Comparative
  • Statewide benchmarks
  • National benchmarks
  • Complete surveys-be a case study
  • Level 4 Theoretical
  • External in the literature
  • Internal on the campus

7
Data-Driven Retention Strategies
  • Part I Services
  • Characteristics and Attitudes of Non-Retained
    Online Students
  • Office of Educational Technology Services
  • Monroe Community College
  • Jeff Bartkovich and Marie Fetzner

8
The Problem
  • Why are certain MCC online students (those with
    grades of F/W) not succeeding in their online
    courses?

9
MCCs Online Retention Research
  • Archival Data Analysis
  • Past three years grades and demographics for
    students in online courses retrieved from student
    records database
  • Student Survey
  • Survey created and administered to sample of
    students who received an F or W in an online
    course for the Fall semester in 2000, 2001 and
    2002

10
Study Limitations
  • Overall response rate is lowdifficulty in
    obtaining responses from the target population
    (contact information)
  • Small sample size (especially for Hispanic and
    Asian students)
  • Ability to generalize
  • Good News feedback was received from
    non-retained online students

11
Basic Student Demographics OL and Site-based, By
Percent

12
Overall Grade DistributionOL vs. Site-based, By
Percent

13
Grade RatesOL vs. Site-based, Fall Semester

14
Success Rates in Comparable Online and
Traditional Courses
15
Top 10 Reasons for MCC Non-retained OL students
  • When asked to identify the one reason why they
    were not successful in their online course,
    students reported that they
  • Couldnt handle the balance between school and
    other responsibilities (15)
  • Got behind, couldnt catch up (13)
  • Course was too unstructured (13)
  • Lacked the needed computer skills (13)
  • Personal problems (10)

16
Top 10 Reasons, cont
  • Course was too hard (9)
  • Lacked motivation (5)
  • Course took too much time (5)
  • Space opened up in a campus-based class (5)
  • Didnt like the instructors teaching style (3)

17
Reasons for Taking an OL Course
  • Reasons for Taking Course Online
  • Conflict with Personal Schedule 49
  • Family Responsibilities 23
  • Distance or Transportation 10
  • Other 10
  • Course Not Offered on Campus 5
  • Interest in Technology/Internet 3
    Retained Students

18
Reasons for Taking an OL Course MCC vs. all
other SUNY Students
  • PRIMARY Reason MCC SUNY
  • Personal Schedule Conflict 49 31
  • Family Responsibilities 23 16
  • Distance or Transportation 10 20
  • Other 10 12
  • Not Offered On Campus 5 15
  • Interactive Technology 3 7
  • Retained Students

19
Retention Data
  • Conducting further analysis to investigate the
    relationship between online student reasons for
    non-success, and satisfaction variables for
    successful online students
  • Services that were implemented as a result of the
    retention study to be discussed after information
    is presented in Part II

20
Data-Driven Retention Strategies
  • Part II - Policies
  • An Analysis of SLN Students Performance and
    Differentiation
  • Office of Institutional Research
  • Monroe Community College
  • Angel Andreu

21
The Problem
  • It is observed that the failure and withdrawal
    (F/W) grades for online students are increasing
    in number and percentage.

22
The Observation
  • Percentage of F/W Grades, Fall Semester
  • 1998 1999 2000 2001 2002
  • Online 19 25 26 30 30
  • College 17 20 21 21 21
  • N in 1998 was 409 2002 was 2,473

23
The Research
  • Previous research identified characteristics of
    students at risk of F/W grades in online courses.
    These were
  • First time students
  • Full-time students with less than 30 earned
    credits
  • Students under the age of 25
  • Minority students

24
The Research
  • The MCC Andreu study affirmed these
    characteristics and looked specifically at
  • Time of registration
  • Basic academic skills

25
The Data Time of Registration
  • Only 7 of the C or better students registered
    during the first week of classes, compared to 16
    of the F/W students
  • Students who registered during the first week of
    classes had a 50/50 chance of earning a grade of
    C or better
  • The odds of getting C or better decreased by 13
    for each week closer to the first week of classes

26
The Data Age
  • 65 of the F/W grades were among students under
    the age of 25
  • Between the ages of 21 and 22, a student had a
    50/50 chance of earning a C or better

27
The Data Age
28
The DataAge and Time of Registration
  • Age and time of registration are each significant
    contributors to grade performance
  • Their interaction is not significant
  • The best chance of getting a C or better
  • Register 5 weeks before the start of the semester
  • Be age 25 or above

29
The Data Experience(i.e. number of accumulated
credit hours)
  • The rate of F/W grades between first and second
    year students is significant
  • Experience is not significant when combined with
    age or time of registration

30
The Data Part/Full Time Status
  • Part/Full time status is not significant
  • The interaction of status and age was significant

31
The DataPart/Full Time Status
32
The DataBasic Academic Skills
  • MCCs ACCUPLACER tool
  • The variables used included reading and sentence
    scores
  • The metrics are placement scores at the college
    English level (78 for reading, 83 for sentences)

33
The DataBasic Academic Skills
  • For students to have a 50/50 chance of earning a
    C or better in an online course, their basic
    academic skills should be at the college English
    level

34
What Does the Analysis Show?
  • Factors important to success in online courses
  • Time of registration
  • The age of the student
  • The academic preparedness of the student

35
What Does the Analysis Show?
  • Factors in the decision model
  • College is enrollment driven
  • The online program is supporting enrollment
    growth
  • The demographics of enrollment growth for the
    College are the same demographics of non-success
    in online courses

36
What Does the Analysis Show?
  • Policy Factors
  • Should policy account for motivation
  • At what odds of failure do we restrict
    enrollment
  • Should online growth be allowed to continue to
    support college enrollment growth
  • What is the balance between student success and
    online enrollment growth

37
Policy Development 1
  • In all cases, a student with an ACCUPLACER score
    below 78 (reading) and/or 83 (sentence) is
    prohibited from taking an online course at MCC.
  • This prohibition is lifted at such time that the
    student successfully completes the Transitional
    Studies coursework appropriate to address the
    deficiency.
  • All online sections will be closed to
    registration one week before the start of class.
    Qualified students (see definition on next slide)
    who wish to enroll after this date will be
    allowed to green slip in until the Colleges
    Add deadline.

38
Policy Development 1
  • Qualified students include mature students with a
    record of success in college-level coursework.
    Student must also have satisfactory ACCUPLACER
    scores to have successfully completed the
    Transitional Studies coursework appropriate to
    address any deficiency. Students who have
    successfully completed an online course
    previously are also considered qualified. Note
    that data indicate that students 22 years old or
    older have a significantly greater chance of
    success in online coursework.

39
Policy Development 2
  • Considerations
  • Forget policy, make it a course prerequisite
  • Must be programmable
  • Cannot rely upon faculty involvement for
    exceptions due to availability
  • Does resolution of the online problem become a
    standard

40
Policy Development 3
  • Draft X
  • Students in remedial English courses are
    prohibited from enrolling in online courses
  • All registrations for online courses are closed
    on the first day of classes

41
Research to Inform PracticeStudent Advice
  • Question to online students who received F/W
    grade on their online course
  • What advice would you give a fellow student
    considering registering for an online course?

42
Research to Inform Practice Student Advice
  • Results Top Five Topics
  • Be ready for independent learning. Must be
    self-motivated.
  • Once you get started, stay on track.
  • Online courses require lots of reading, homework
    and research. Get ready for the demands.
  • Must develop a schedule to go online, must manage
    your time.
  • Talk to other people, other students before you
    take the class and during the class

43
Research to Inform PracticeStudent Advice
  • Practical Use of Online Student Advice
  • Integrate into brochures, orientation seminars
  • Do mock testimonies for video displays
  • Share with Counseling and Advising staff
  • Share with Faculty

44
Research to Inform PracticeManaging Services
  • Manage the Expectations
  • Additional pre-start information sharing
  • Additional orientations offered
  • Manage the Support Services
  • Greater integration with support team
  • Additional points of access to services
  • Manage the Academics
  • Faculty course design issues and training
  • Emphasis on multiple interactions

45
Research to Inform PracticeManaging Services
  • Manage the Expectations
  • Welcome Letter from Academic Vice President has
    been expanded
  • Face-to-face student orientations offered
  • MCC Online Orientation CD distributed
  • Phone Calls made to all Fall 2002 Online Students
    and 1st-time Spring 2003 Online
    Studentsadditional analysis conducted

46
Research to Inform PracticeManaging Services
  • Manage the Support Services
  • Student Services web page expansion
  • Revisions made to the service gateway to online
    learning web page
  • Brochures at Records and Registration and at the
    Counseling Center

47
Research to Inform PracticeManaging Services
  • Manage the Academics
  • Retention strategies integrated into faculty
    trainings
  • Discipline-specific retention studies
  • Discussions on other academic supportonline
    tutoring, writing centers, etc.
  • Pilot test CourseSpace (use of online template
    for web course enhancement)

48
Research to Inform PracticeOn-campus Orientation
  • Question
  • Is there value to an on-campus orientation
    course for online performance?

49
Research to Inform PracticeOn-campus Orientation
  • On-Campus Orientation Results
  • Most students felt they had the necessary skills
    to be successful
  • Skill preparation is not related to performance
  • Students who attended the on-campus program were
    more likely to earn a C or better
  • C/Better F/W
  • On-campus Orientation 78 18
  • Online Orientation only 64 30

50
Research to Inform PracticeOn-campus Orientation
  • To Continue the Course
  • Practice Demonstration Course
  • Structure not Skills
  • Market the grade differential
  • Keep faculty involved in the program to provide
    authentic experience

51
Research to Inform PracticeOn-campus Orientation
  • Question How do you define retention?
  • It depends
  • Researchtwo basic presentations
  • As an enrollment statistic
  • As a performance indicator
  • Policy
  • Be consistent, clarify your statistics

52
Defining the Retention and Withdrawal Rates
53
Online Retention Rates
54
Defining the Retention and Withdrawal Rates
55
Withdrawal RatesAll MCC and Online
56
Next StepsThings to Consider
  • Services
  • Policies
  • Definition of Retention for data collection
  • Replicate studies at other institutions

57
Contact Information
  • Dr. Jeffrey P. Bartkovichjbartkovich_at_monroecc
    .edu
  • Marie J. Fetznermfetzner_at_monroecc.edu
  • MCC Web Page www.monroecc.edu
  • MCC Online Learning pagehttp//www.monroecc.edu/
    depts/distlearn/index.htm
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