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Elliott R. Coney
Co-Presenter: Jamal E. Mazyck
 Program Learning Outcomes
 Icebergs, Divides, and Disconnects
 Research Study
 M2c3 instrument
 Research Methodology
 Research Results
 Video:Transformational Leadership
 Dr. Jansen,Transformational Leadership
 Strategies
 Theory U
 Prototyping Initiatives
 Participants of this presentation will be able to:
 Expand their understanding of correlational relationships
between student services and AfricanAmerican
community college men.
 Recognize potential programmatic and service barriers
disparately impacting African American community
college men.
 Define policy and practice strategies for improving service
access, service care, and service efficacy at their respective
institutions.
 What is happening at your institution regarding African
American males that you would like to change or improve?
 What challenges or barriers do you see in serving
African Americans males?
 Federal, state, and local efforts to enhance persistence, student
success, and college accountability
 U.S. Department of Education National Center for Education
Statistics report Condition of Education 2015 (NCES 2015-144),
 60% retention rate for first-time students with consecutive fall-to-fall
enrollment.
 29% completion rate 2010 (first-time, full-time) in 150% time (NCES
2015-144).
 African American men rank at or near the bottom on most
indicators of student success, including enrollment, persistence,
achievement, engagement, and attainment (Wood & Palmer,
2013; Simmons, 2013; Bush & Bush, 2010, Nakajima et al., 2012;
Harris andWood, 2013).
KNOWING WHY A
STUDENT LEAVES
IS IMPORTANT
 The purpose of this study was to examine the differential
impact of institutional services (service access, service use,
service care, and service efficacy) on the anticipated
persistence (stop-out, dropout, and grad-out) of African
American CommunityCollege men.
 Barnett (2010)
 Examined factors influencing student persistence
 Quantitative Correlational Method
▪ 322 Midwest Community College Students
▪ DualTheory Framework
▪ Student Departure-Tinto (1993)
▪ Validation – Rendon (1994)
 Salient Findings
▪ FSI  SAI  Intent to persist
 Bush & Bush (2010)
 Examine factors influence AA student achievement
 Mixed Methods Study
▪ Three-Tier Descriptive,Correlation, and RegressionQuantAnalysis
▪ 742 ICCD students via stratified random sample
▪ Triangulation via Focus Groups
 Salient Findings
▪ Dissatisfaction, Disengagement, Poor Faculty Interaction
▪ Campus climate as significant predictor
▪ Transfer, Better GPA, Higher Grad Rates
 Nakajima, Dembo, and Mossler (2012)
 Examined student decisions to drop out or stay in
school
 Qualitative Study
▪ Stratified random sample of 427 students
▪ 3-instrument psychosocial variable analyses
▪ Institutional Integration (Pascarella &Terenzini, 1980)
▪ College Self-Efficacy Inventory (Solberg, et al. 1993)
▪ Career Decision Scale (Osipow, et al., 1987)
 Salient Findings
▪ Good GPA, Full-Time, English Skills
Socio-Ecological
Outcomes Model
Student Success
* Persistence * Achievement
* Attainment * Transfer * Goal
Accomplishment *Labor Market
Academic Domain
• Faculty-Student Interaction
• Academic Service Use
• Commitment to Course of Study
Campus Ethos Domain
• Sense of Belonging (Student-Student) (Student-
Faculty) (Student-Student Service)
• Campus Racial/Gender Climate
• Welcomeness to Engage
• Campus Resources (Access) (Efficacy)
• Internal Validating Agents (Faculty) (Staff)
Societal Factors
• Stereotypes
• Prejudice
• Criminalization
• Economic
Conditions
• Capital Identity
Projection
• Mass Incarceration
Background/
Defining
Factors
• Age
• Time Status
• Veteran Status
• Primary Language
• Citizenship Status
• Generation Status
• [Dis]ability
Environmental Domain
• Mediators (Finances) (Transportation) (External
Validating Agents)
• Commitments (Family Responsibilities)
(Employment)
• Stressful Life Events
Non-Cognitive Domain
• Intrapersonal (Self-Efficacy) (Locus of Control)
(Degree Utility) (Action Control) (Intrinsic
Interest)
• Identity (Gender) x (Racial/Ethnic) x (Spiritual)
x (Sexual)
Inputs Socio-Ecological Domains Outcomes
Socio-Ecological Outcomes (SEO) Model
Non-Cognitive Domain
• Intrapersonal (Self-Efficacy) (Locus of Control) (Degree
Utility) (Action Control) (Intrinsic Interest)
Socio-Ecological Domains
“I worry that being here is not worth it because I see a lot
of people that graduated from college with all sorts of
degrees and still can’t get a job and are still struggling. So
I’m like ‘damn, I’m spending all this money on student
loans, what’s going to happen if I don’t get a job?”
Non-Cognitive Domain
• Intrapersonal (Self-Efficacy) (Locus of Control) (Degree
Utility) (Action Control) (Intrinsic Interest)
• Identity (Gender) x (Racial/Ethnic) x (Spiritual) x (Sexual)
Socio-Ecological Domains
“What kind of man has two
kids and quits working so he
can go and read poetry at some
damn college?”
(Harris & Harper, 2008)
“I also comes from a sense of pride.You know,
you’re always taught to be a man, and you’re
proud
And, if you fall, if you stumble, then that’s your
own fault.You don’t bring anybody down with
you.You don’t ask for help because it’s your
doing.You shouldn’t have to ask anybody for
help, and so it’s just that sense of pride that
carriers over – that in the end, makes you fail.”
(Saenz et al., 2013)
Environmental Domain
• Mediators (Finances) (Transportation) (External
Validating Agents)
• Commitments (Family Responsibilities) (Employment)
• Stressful Life Events
Socio-Ecological Domains
“I’ve had more than a few family members die
in the past two years, so it’s just hard to focus. I
kinda lost my motivation and I really can’t
focus. My family needs me now more than ever
before.When I’m in class I’m physically there
but my mind isn’t.”
“I have to take 3 buses to get to
school.Transportation is a real
concern. If I miss one bus, or one bus
runs late, it means that I don’t make
it to class on time.Yeah, I spend like
an hour, sometimes an hour and a
half just getting to school.”
Campus Ethos Domain
• Sense of Belonging (Student-Student) (Student-
Faculty) (Student-Student Service)
• Campus Racial/Gender Climate
• Welcomeness to Engage
• Campus Resources (Access) (Efficacy)
• InternalValidating Agents (Faculty) (Staff)
Socio-Ecological Domains
“[They communicate] do not take this class, at all.
Don’t even try to take this class.The professor
emphasized multiple times that if you’re not
getting it, drop the class. No ways on how I could
fix or improve. Just drop the class.”
“There are some teachers
that will tell you,. “I’ve
probably given just oneA in
the last 3 years.”That’s
bulls^!t. Because you even
get to class you know you
can’t get an A.”
 Data from this study were derived from the Community College
Survey of Men (CCSM)
 An institutional level needs assessment tool designed to examine factors
influencing student success for college men of color
 Distributed to 12,000 men across over 70 community colleges
 Delimited to 212 Black men in a Southern California multi-college district
 Analyses conducted usingAnalysis of Covariance
 Effect sizes computed using n2 - .01, .06, .14
 Posthocs conducted using Bonferroni
 DependentVariables – ServiceAccess,
Service Use, Service Care, and Service
Efficacy
 IndependentVariable –Anticipated
Persistence
 ControlVariables – DegreeAspiration,
Generation Status,TransportationTime,
Stressful Life Events, and Credits Earned
 The campus services I need for success are
easy to access.
 I know which campus services to go to for
help.
 The Campus services I need for success are
available when I need them.
 The ANCOVA test indicated that there was a
significance difference between groups on the
outcome of anticipated persistence( F=4.612,
p=.001).
▪ The model accounted for 13.9% of the variance in the
outcome (adjR2=.085). This represents a medium effect
size.
 How often do you use the following services?
 The ANCOVA test indicated that there was a no
significance difference between groups on the
outcome of anticipated persistence( F= 1.242,
p=.241) and was excluded as a result.
 I feel that staff members ( in these areas) care
about my success.
 Academic Advising/Counseling
 Career Services
 Transfer Services
 Campus Library Services
 Tutoring Services
 The ANCOVA test indicated that there was a
significance difference between groups on the
outcome of anticipated persistence( F= 6.463, p=
<.001).
▪ The model accounted for 19.6% of the variance in the
outcome (adjR2=.146). This represents a large effect size.
 Campus services provide me with the help I
need.
 Campus Services provide me with accurate
information.
 Campus services are critical to my success
 The ANCOVA test indicated that there was a
significance difference between groups on the
outcome of anticipated persistence( F=4.466,
p=.002).
▪ The model accounted for 9.9% of the variance in the
outcome (adjR2=.110). This represents a medium effect
size.
 Findings suggests:
 The study found that students not returning had lower scores
of service access, care, and efficacy when compared to all other
groups.
 Findings suggest that negative student services experiences
and perceptions contribute to a students exit from the
community college prior to completion of goal.
 Findings in this study advances aforementioned literature
regarding persistence, integration, sense of belonging
(Strayhorn 2012; Barnett, 2012; Wood, 2012; Bush and Bush,
2010;Tinto, 1975, 1993, 2003; Astin, 1993; Pascarella, 1980;
Rendon, 1994;).
 Create an intentional culture of assessment
 Leverage IR data to cut red tape contributing to barriers and disparate impact
 Evaluate policy language and messaging across all campus mediums
 Include student access, care, validation, and integration as outcome metrics in all
institutional funded programs
 Engage students as a primary resource
 Solidify a commitment to professional development
 Integrative campus-wide cross-training
 Socio-cultural navigation—sense and meaning-making
 Salience ofValidation/Sense of Belonging/Integration
 Engage students as a primary resource
 Incentivize cross-divisional collaboration and programs
 Invest in integrative resources, programs, and evaluations that align desired
outcomes and support students through collegiate process—specifically from
outreach through second year
 Innovation,Technology, and Infrastructure
 Engage students as a primary resource
 Diversify Service Delivery
 Technology, Communication, Messaging
 Hours of operation
 Interdepartmental and campus integration
 Implement Student Care and Access Campaigns
 Identify your key message and align your culture
 Interdepartmental and campus-wide activities between student services and
faculty
 Create accountability for intrusive in-reach and support
 Leverage students and interns in all strategies
 Professional Development and campus training needs and participation.
 Outreach, In-reach, SSSP,Counseling,Categorical,Transfer
▪ Student Advocates,Tour Guides, Summer Bridge, FYE, Guardian Scholars
 Consistency in interaction, support, and accessibility
 Scholars should explore
 Qualitative or mixed data study using M2c3 dataset for greater exploration to why these
differences between groups exist.
 Whether perceptions of institutional services have similar impacts on other CC men of color and
non men of color populations.
 Whether perceptions of institutional services have similar impacts on other men of color and non
men of color in other environment types (4-year, HBCU, HSI, For-profit).
 Whether differential effects exists for other persistence and student success outcomes
 Whether differential effects exist within group differences among Black men by key characteristics
such as age, income, and prior educational experiences
 The use of peer mentoring to streamline resources and services to students and the consequent
effect on persistence.
 Consult external assessment and evaluation options (CCSM and M2C3)
The success of an intervention
depends on the inner condition
of the intervener.
William O’ Brien
Former CEO Hanover Insurance Company
 Relevant: Does it matter to the key stakeholders involved?
 Right: Have you got the right dimensions? Does the microcosm
mirror the whole?
 Revolutionary: Can it change the system? Do you address the
systemic root issues?
 Rapid: Can you do it quickly?
 Rough: Can you do it small scale?
 Relationally effective: Are you leveraging the existing networks
and competencies?
 Replicable: Can you scale it?
 Who has a seat at your table?
 WLAC SSSP
 Students as resource
 Meaning and Sense-making
 Interns
 Idea Generators
 Media Experts
 Creating a peer mentoring culture
 Scaffolding Programs
▪ 8 Benefits
▪ Clear direction
▪ Clarifies purpose
▪ Students on task
▪ Clarifies expectation
▪ Points to worthy sources
▪ Reduces uncertainty, surprise, and
disappointment
▪ Delivers efficiency
▪ Creates Momentum
Institution
Education Goal
(Transfer, AA, Cert, Etc.)
General Counseling
Categorical Programs
Student Success
and
Support Programs
Outreach
Student
S
t
u
d
e
n
t
P
e
e
r
M
e
n
t
o
r
s
 Astin, A. W. (1993). What Matters in College: Four Critical Years Revisited. San Francisco: Jossey-Bass
 Bush, E. C. (2010). Calling Out the Elephant : An Examination of African American Male Achievement in Community
Colleges.Journal of African American Males in Education, 1(1), 40–62.
 Harris III, F., & Wood, J. L. (2014a, April 5). The socio-ecological outcomes model. Paper presented at the annual meeting of the
Council for the Study of Community Colleges, Washington, DC.
 Nakajima, M. a., Dembo, M. H., & Mossler, R. (2012).Student Persistence in Community Colleges. Community College Journal of
Research and Practice, 36(8), 591–613. http://doi.org/10.1080/10668920903054931
 National Center for Education Statistics (2015). Institutional Retention and Graduation Rates for Undergraduate Students.
Postsecondary Education. The Condition of Education, 4–7. Retrieved from http://nces.ed.gov/programs/coe/pdf/coe_cva.pdf
 Osipow, S.H., Carney, C.G., WIner, J., Yanico, B., Koschier, M. (1987) The career decision scale (3rd rev.). Odessa, FL:
Psychological Assessment Resources
 Pascarella, E. T., & Terenzini, P. T. (1980). Predicting freshman persistence and voluntary dropout decisions from a theoretical
model. The Journal of Higher Education, 60-75.
 Rendon, L. I. (1994). Validating culturally diverse students: Toward a new model of learning and student
development. Innovative higher education, 19(1), 33-51.
 Solberg, V. S., O'Brien, K., Villareal, P., Kennel, R., & Davis, B. (1993). Self-efficacy and Hispanic college students: Validation of
the college self-efficacy instrument. Hispanic Journal of Behavioral Sciences, 15(1), 80-95.
 Tinto.V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 43,
89-115
 Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd ed.).
 Chicago: University of Chicago Press.
 Tinto.V. (1997).Classrooms as communities: Exploring the educational character of student persistence. The Journal of Higher
Education.68 (6), 599-623.
 Wood, J.L; Palmer, R. (2013).The Likelihood of Transfer for Black Males in Community Colleges Examining the Effects of
Engagement.
 Wood, J. L., & Harris, F., III. (2013). The Community College Survey of Men: An initial validation of the instrument’s non-cognitive
outcomes construct. Community College Journal Wood, J. L. (2012a).Black males in the community college: Using two national
datasets to examine academic and social integration. Journal of Black Masculinity, 2, 56–88.
Elliott R. Coney
San Diego State University Ed.D. Candidate
Adjunct Faculty, Counseling, Student Success and Support Programs
West Los Angeles College
Email: Coneye@wlac.edu
(310) 287 4462
Twitter: @DrConey2017
Jamal E. Mazyck
San Diego State University Ed.D. Candidate
Minority Male Community College Collaborative (M2C3)
San Diego State University
M2C3 Email: m2c3@mail.sdsu.edu
M2C3 Office Line: (619) 594 0223
j.e.mazyck@gmail.com
Twitter: @jmbeyond7

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A2Mend Presentation- STOP OUT FINAL

  • 2.  Program Learning Outcomes  Icebergs, Divides, and Disconnects  Research Study  M2c3 instrument  Research Methodology  Research Results  Video:Transformational Leadership  Dr. Jansen,Transformational Leadership  Strategies  Theory U  Prototyping Initiatives
  • 3.  Participants of this presentation will be able to:  Expand their understanding of correlational relationships between student services and AfricanAmerican community college men.  Recognize potential programmatic and service barriers disparately impacting African American community college men.  Define policy and practice strategies for improving service access, service care, and service efficacy at their respective institutions.
  • 4.  What is happening at your institution regarding African American males that you would like to change or improve?
  • 5.  What challenges or barriers do you see in serving African Americans males?
  • 6.
  • 7.  Federal, state, and local efforts to enhance persistence, student success, and college accountability  U.S. Department of Education National Center for Education Statistics report Condition of Education 2015 (NCES 2015-144),  60% retention rate for first-time students with consecutive fall-to-fall enrollment.  29% completion rate 2010 (first-time, full-time) in 150% time (NCES 2015-144).  African American men rank at or near the bottom on most indicators of student success, including enrollment, persistence, achievement, engagement, and attainment (Wood & Palmer, 2013; Simmons, 2013; Bush & Bush, 2010, Nakajima et al., 2012; Harris andWood, 2013).
  • 8. KNOWING WHY A STUDENT LEAVES IS IMPORTANT
  • 9.  The purpose of this study was to examine the differential impact of institutional services (service access, service use, service care, and service efficacy) on the anticipated persistence (stop-out, dropout, and grad-out) of African American CommunityCollege men.
  • 10.  Barnett (2010)  Examined factors influencing student persistence  Quantitative Correlational Method ▪ 322 Midwest Community College Students ▪ DualTheory Framework ▪ Student Departure-Tinto (1993) ▪ Validation – Rendon (1994)  Salient Findings ▪ FSI  SAI  Intent to persist
  • 11.  Bush & Bush (2010)  Examine factors influence AA student achievement  Mixed Methods Study ▪ Three-Tier Descriptive,Correlation, and RegressionQuantAnalysis ▪ 742 ICCD students via stratified random sample ▪ Triangulation via Focus Groups  Salient Findings ▪ Dissatisfaction, Disengagement, Poor Faculty Interaction ▪ Campus climate as significant predictor ▪ Transfer, Better GPA, Higher Grad Rates
  • 12.  Nakajima, Dembo, and Mossler (2012)  Examined student decisions to drop out or stay in school  Qualitative Study ▪ Stratified random sample of 427 students ▪ 3-instrument psychosocial variable analyses ▪ Institutional Integration (Pascarella &Terenzini, 1980) ▪ College Self-Efficacy Inventory (Solberg, et al. 1993) ▪ Career Decision Scale (Osipow, et al., 1987)  Salient Findings ▪ Good GPA, Full-Time, English Skills
  • 14. Student Success * Persistence * Achievement * Attainment * Transfer * Goal Accomplishment *Labor Market Academic Domain • Faculty-Student Interaction • Academic Service Use • Commitment to Course of Study Campus Ethos Domain • Sense of Belonging (Student-Student) (Student- Faculty) (Student-Student Service) • Campus Racial/Gender Climate • Welcomeness to Engage • Campus Resources (Access) (Efficacy) • Internal Validating Agents (Faculty) (Staff) Societal Factors • Stereotypes • Prejudice • Criminalization • Economic Conditions • Capital Identity Projection • Mass Incarceration Background/ Defining Factors • Age • Time Status • Veteran Status • Primary Language • Citizenship Status • Generation Status • [Dis]ability Environmental Domain • Mediators (Finances) (Transportation) (External Validating Agents) • Commitments (Family Responsibilities) (Employment) • Stressful Life Events Non-Cognitive Domain • Intrapersonal (Self-Efficacy) (Locus of Control) (Degree Utility) (Action Control) (Intrinsic Interest) • Identity (Gender) x (Racial/Ethnic) x (Spiritual) x (Sexual) Inputs Socio-Ecological Domains Outcomes Socio-Ecological Outcomes (SEO) Model
  • 15. Non-Cognitive Domain • Intrapersonal (Self-Efficacy) (Locus of Control) (Degree Utility) (Action Control) (Intrinsic Interest) Socio-Ecological Domains “I worry that being here is not worth it because I see a lot of people that graduated from college with all sorts of degrees and still can’t get a job and are still struggling. So I’m like ‘damn, I’m spending all this money on student loans, what’s going to happen if I don’t get a job?”
  • 16. Non-Cognitive Domain • Intrapersonal (Self-Efficacy) (Locus of Control) (Degree Utility) (Action Control) (Intrinsic Interest) • Identity (Gender) x (Racial/Ethnic) x (Spiritual) x (Sexual) Socio-Ecological Domains “What kind of man has two kids and quits working so he can go and read poetry at some damn college?” (Harris & Harper, 2008) “I also comes from a sense of pride.You know, you’re always taught to be a man, and you’re proud And, if you fall, if you stumble, then that’s your own fault.You don’t bring anybody down with you.You don’t ask for help because it’s your doing.You shouldn’t have to ask anybody for help, and so it’s just that sense of pride that carriers over – that in the end, makes you fail.” (Saenz et al., 2013)
  • 17. Environmental Domain • Mediators (Finances) (Transportation) (External Validating Agents) • Commitments (Family Responsibilities) (Employment) • Stressful Life Events Socio-Ecological Domains “I’ve had more than a few family members die in the past two years, so it’s just hard to focus. I kinda lost my motivation and I really can’t focus. My family needs me now more than ever before.When I’m in class I’m physically there but my mind isn’t.” “I have to take 3 buses to get to school.Transportation is a real concern. If I miss one bus, or one bus runs late, it means that I don’t make it to class on time.Yeah, I spend like an hour, sometimes an hour and a half just getting to school.”
  • 18. Campus Ethos Domain • Sense of Belonging (Student-Student) (Student- Faculty) (Student-Student Service) • Campus Racial/Gender Climate • Welcomeness to Engage • Campus Resources (Access) (Efficacy) • InternalValidating Agents (Faculty) (Staff) Socio-Ecological Domains “[They communicate] do not take this class, at all. Don’t even try to take this class.The professor emphasized multiple times that if you’re not getting it, drop the class. No ways on how I could fix or improve. Just drop the class.” “There are some teachers that will tell you,. “I’ve probably given just oneA in the last 3 years.”That’s bulls^!t. Because you even get to class you know you can’t get an A.”
  • 19.  Data from this study were derived from the Community College Survey of Men (CCSM)  An institutional level needs assessment tool designed to examine factors influencing student success for college men of color  Distributed to 12,000 men across over 70 community colleges  Delimited to 212 Black men in a Southern California multi-college district  Analyses conducted usingAnalysis of Covariance  Effect sizes computed using n2 - .01, .06, .14  Posthocs conducted using Bonferroni
  • 20.  DependentVariables – ServiceAccess, Service Use, Service Care, and Service Efficacy  IndependentVariable –Anticipated Persistence  ControlVariables – DegreeAspiration, Generation Status,TransportationTime, Stressful Life Events, and Credits Earned
  • 21.  The campus services I need for success are easy to access.  I know which campus services to go to for help.  The Campus services I need for success are available when I need them.
  • 22.  The ANCOVA test indicated that there was a significance difference between groups on the outcome of anticipated persistence( F=4.612, p=.001). ▪ The model accounted for 13.9% of the variance in the outcome (adjR2=.085). This represents a medium effect size.
  • 23.
  • 24.
  • 25.  How often do you use the following services?  The ANCOVA test indicated that there was a no significance difference between groups on the outcome of anticipated persistence( F= 1.242, p=.241) and was excluded as a result.
  • 26.  I feel that staff members ( in these areas) care about my success.  Academic Advising/Counseling  Career Services  Transfer Services  Campus Library Services  Tutoring Services
  • 27.  The ANCOVA test indicated that there was a significance difference between groups on the outcome of anticipated persistence( F= 6.463, p= <.001). ▪ The model accounted for 19.6% of the variance in the outcome (adjR2=.146). This represents a large effect size.
  • 28.
  • 29.
  • 30.  Campus services provide me with the help I need.  Campus Services provide me with accurate information.  Campus services are critical to my success
  • 31.  The ANCOVA test indicated that there was a significance difference between groups on the outcome of anticipated persistence( F=4.466, p=.002). ▪ The model accounted for 9.9% of the variance in the outcome (adjR2=.110). This represents a medium effect size.
  • 32.
  • 33.
  • 34.  Findings suggests:  The study found that students not returning had lower scores of service access, care, and efficacy when compared to all other groups.  Findings suggest that negative student services experiences and perceptions contribute to a students exit from the community college prior to completion of goal.  Findings in this study advances aforementioned literature regarding persistence, integration, sense of belonging (Strayhorn 2012; Barnett, 2012; Wood, 2012; Bush and Bush, 2010;Tinto, 1975, 1993, 2003; Astin, 1993; Pascarella, 1980; Rendon, 1994;).
  • 35.
  • 36.
  • 37.
  • 38.  Create an intentional culture of assessment  Leverage IR data to cut red tape contributing to barriers and disparate impact  Evaluate policy language and messaging across all campus mediums  Include student access, care, validation, and integration as outcome metrics in all institutional funded programs  Engage students as a primary resource  Solidify a commitment to professional development  Integrative campus-wide cross-training  Socio-cultural navigation—sense and meaning-making  Salience ofValidation/Sense of Belonging/Integration  Engage students as a primary resource  Incentivize cross-divisional collaboration and programs  Invest in integrative resources, programs, and evaluations that align desired outcomes and support students through collegiate process—specifically from outreach through second year  Innovation,Technology, and Infrastructure  Engage students as a primary resource
  • 39.  Diversify Service Delivery  Technology, Communication, Messaging  Hours of operation  Interdepartmental and campus integration  Implement Student Care and Access Campaigns  Identify your key message and align your culture  Interdepartmental and campus-wide activities between student services and faculty  Create accountability for intrusive in-reach and support  Leverage students and interns in all strategies  Professional Development and campus training needs and participation.  Outreach, In-reach, SSSP,Counseling,Categorical,Transfer ▪ Student Advocates,Tour Guides, Summer Bridge, FYE, Guardian Scholars  Consistency in interaction, support, and accessibility
  • 40.  Scholars should explore  Qualitative or mixed data study using M2c3 dataset for greater exploration to why these differences between groups exist.  Whether perceptions of institutional services have similar impacts on other CC men of color and non men of color populations.  Whether perceptions of institutional services have similar impacts on other men of color and non men of color in other environment types (4-year, HBCU, HSI, For-profit).  Whether differential effects exists for other persistence and student success outcomes  Whether differential effects exist within group differences among Black men by key characteristics such as age, income, and prior educational experiences  The use of peer mentoring to streamline resources and services to students and the consequent effect on persistence.  Consult external assessment and evaluation options (CCSM and M2C3)
  • 41.
  • 42. The success of an intervention depends on the inner condition of the intervener. William O’ Brien Former CEO Hanover Insurance Company
  • 43.
  • 44.
  • 45.
  • 46.
  • 47.
  • 48.  Relevant: Does it matter to the key stakeholders involved?  Right: Have you got the right dimensions? Does the microcosm mirror the whole?  Revolutionary: Can it change the system? Do you address the systemic root issues?  Rapid: Can you do it quickly?  Rough: Can you do it small scale?  Relationally effective: Are you leveraging the existing networks and competencies?  Replicable: Can you scale it?
  • 49.  Who has a seat at your table?  WLAC SSSP  Students as resource  Meaning and Sense-making  Interns  Idea Generators  Media Experts  Creating a peer mentoring culture  Scaffolding Programs ▪ 8 Benefits ▪ Clear direction ▪ Clarifies purpose ▪ Students on task ▪ Clarifies expectation ▪ Points to worthy sources ▪ Reduces uncertainty, surprise, and disappointment ▪ Delivers efficiency ▪ Creates Momentum Institution Education Goal (Transfer, AA, Cert, Etc.) General Counseling Categorical Programs Student Success and Support Programs Outreach Student S t u d e n t P e e r M e n t o r s
  • 50.
  • 51.  Astin, A. W. (1993). What Matters in College: Four Critical Years Revisited. San Francisco: Jossey-Bass  Bush, E. C. (2010). Calling Out the Elephant : An Examination of African American Male Achievement in Community Colleges.Journal of African American Males in Education, 1(1), 40–62.  Harris III, F., & Wood, J. L. (2014a, April 5). The socio-ecological outcomes model. Paper presented at the annual meeting of the Council for the Study of Community Colleges, Washington, DC.  Nakajima, M. a., Dembo, M. H., & Mossler, R. (2012).Student Persistence in Community Colleges. Community College Journal of Research and Practice, 36(8), 591–613. http://doi.org/10.1080/10668920903054931  National Center for Education Statistics (2015). Institutional Retention and Graduation Rates for Undergraduate Students. Postsecondary Education. The Condition of Education, 4–7. Retrieved from http://nces.ed.gov/programs/coe/pdf/coe_cva.pdf  Osipow, S.H., Carney, C.G., WIner, J., Yanico, B., Koschier, M. (1987) The career decision scale (3rd rev.). Odessa, FL: Psychological Assessment Resources  Pascarella, E. T., & Terenzini, P. T. (1980). Predicting freshman persistence and voluntary dropout decisions from a theoretical model. The Journal of Higher Education, 60-75.  Rendon, L. I. (1994). Validating culturally diverse students: Toward a new model of learning and student development. Innovative higher education, 19(1), 33-51.  Solberg, V. S., O'Brien, K., Villareal, P., Kennel, R., & Davis, B. (1993). Self-efficacy and Hispanic college students: Validation of the college self-efficacy instrument. Hispanic Journal of Behavioral Sciences, 15(1), 80-95.  Tinto.V. (1975). Dropout from higher education: A theoretical synthesis of recent research. Review of Educational Research, 43, 89-115  Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd ed.).  Chicago: University of Chicago Press.  Tinto.V. (1997).Classrooms as communities: Exploring the educational character of student persistence. The Journal of Higher Education.68 (6), 599-623.  Wood, J.L; Palmer, R. (2013).The Likelihood of Transfer for Black Males in Community Colleges Examining the Effects of Engagement.  Wood, J. L., & Harris, F., III. (2013). The Community College Survey of Men: An initial validation of the instrument’s non-cognitive outcomes construct. Community College Journal Wood, J. L. (2012a).Black males in the community college: Using two national datasets to examine academic and social integration. Journal of Black Masculinity, 2, 56–88.
  • 52. Elliott R. Coney San Diego State University Ed.D. Candidate Adjunct Faculty, Counseling, Student Success and Support Programs West Los Angeles College Email: Coneye@wlac.edu (310) 287 4462 Twitter: @DrConey2017 Jamal E. Mazyck San Diego State University Ed.D. Candidate Minority Male Community College Collaborative (M2C3) San Diego State University M2C3 Email: m2c3@mail.sdsu.edu M2C3 Office Line: (619) 594 0223 j.e.mazyck@gmail.com Twitter: @jmbeyond7

Editor's Notes

  1. Good afternoon, my name is Elliott Coney, I am a Doctoral student of Educational Leadership with an emphasis in Community College Administration at San Diego State University, I am also adjunct faculty-Counseling within the Department of Student Success and Support Programs at West Los Angeles College. I have previous qualitative research experience examining the transitional challenges of African American football athletes at Predominantly White Institutions. Outside of this present quantitative study, I am presently completing my doctoral work examining the Campus Violence Preparedness in Community Colleges. This is Doctoral side kick and friend Jamal Mazyck, he will support this presentation by informing you all on M2C3 and the CCSM which is the dataset used for this study. Jamal has an extensive resume and may provide some insight to implications for pedagogy and the classroom as well as getting in touch with him regarding interest in M2C3 support on your campus. Jamal you have the floor.
  2. Presentation outline are as follows. ..
  3. Learning Outcomes are…
  4. As we move through this presentation I want you to think about important questions to facilitate our concluding Q & A What is happening at your institution regarding African American males that you would like to change or improve? Why are those things Happening? What are you doing about the issues/challenges you want to change or improve? --------------------------------------------- Scharmer (2011) speaks to the Iceberg model to contextualize problematic conditions facing organizations. He states that beneath the visible level of events and crises, there are underlying structures, mental models, and sources that are responsible for creating them. Tip of the iceberg represents 10% above waterline—symptoms of our current situation, visible and explicit parts of our current reality.. This can equate to examples such as the deficit perspective…African American male students are the problem due to continued lower achievement, don’t meet minimum qualifications, require lowered standards to accommodate the population etc. Scharmer (2011) stress importance in understanding symptoms of the iceberg and underlying issues and conditions that constitute 3 major divides…Ecological Divide, Social Divide, and Spiritual-Cultural Divide which are depicted on the next slide. Drilling through levels of the Iceberg from surface to depth, will illuminate several blind spots that if attended to, can help us rebuild our systems moving from ego system awareness to ecosystem awareness and realities…which this study applies to the CC to become more responsive, intentional , inclusive, and inspired.
  5. Scharmer (2011) framework targets and addresses this pervasive ego-centered organizational thinking and resulting silo operationality that contributes to actions and decisions based on outdated paradigms. Sharmers framework begs the central question of how do we reconnect the whole? Many of you have enormous experience and years within these contexts of CC issues/challenges. As such your input will provide great richness to this discussion? Additional Questions to keep in mind for our Q & A What barriers or divides do you encounter in making these needed changes? Why is it so hard to change our Community College system? Scharmer and his 2011 book Leading from the Emerging future, from ego-system to eco-system economies addressed 3 Divides and 8 disconnects: Ecological-Divide--Depletion of finite resources. The disconnect between growth and environment, self and nature. (Capacity issues in the CC, External capacity due to impaction of other systems.) Sociological-Divide--Social Polarization, can denote financial, academic, achievement disparity). Disconnect between self and other such as Disproportionality and lack of Equity in education and resources. Spiritual-Cultural Divide—Internal identity, deep inner place from which you act. Disconnect between one’s self and the emerging future “Self” that represents one’s greatest potential. This is identified on personal and organizational levels, students, professional role and greater system. . (Career, Personal, Student) Misalignment, confidence, belonging, mattering. Most Notable Disconnects Germane to CC Infinite-Growth Bubble: Gap between growth expectation and finite resources. Germane to the CC are (impaction, decreased enrollment, attrition/persistence, Bachelors/Changing/Competing Mission). Technology Bubble: Gaps in tech and meeting real societal/community/institutional needs. Does this benefit the student or the institution? How does it contribute to sense-making, meaning-making within the process and transition? Leadership Bubble: Gaps between institutional leadership and people/students contributing to forms of paralysis within organization. Results in often irreparable leadership voids, & creates results nobody wants. This is important to consider as an institution or organization is perfectly designed to achieve the results they get. Governance Bubble: Extends the leadership gap to governance which highlights disconnected governance between the voiceless and marginalized in our systems. Balance between mechanisms and underserved populations affected and disparately impacted by regimes and systems completely unable to change.
  6. Student perspectives have always been something I am interested in. I believe they are the richest context from which each of us should work. However, at times we lose track or fall out of alignment with the basic principles for why we started this journey—to be a vessel, maximizer, and change-agent for students. I am sure many of us hear the many concerns and complaints of our students on a daily basis, however, often when these students leave our office or department, we lose sight of their outcomes. So I wanted to explore the population I interact with daily and have a passion for. To shed light on the nexus of student services and the consequences of those experiences on the perceptions and expectations of our African American male student populations. So what you really came here for, the Research. First I would like to say thank you…this is my first conference of this size, as such I researched Conference It is my hope that based on todays discussion, that you accept the challenge of whenever you see issues, divides and disconnects, that you always ask courageously and diplomatically….“How is this helping our students most at risk?” “How do we know?” “How did we come to these notions or conclusions?” and most importantly “What do our student think or have to say ?”
  7. Few HED inquiries disaggregating data to address the persistence of AA men within the community college domain (Barnett, 2010).
  8. Significance of this study is simple, knowing why a student leaves is important, moreover, knowing how your programs and services relate to sensemaking or meaning making leading to that exit provides a platform for greater examination to better drill down and uncover disconnects that can directly inform your policies and practice. Weick’s (1995; Eddy, 2005; 2010) model about the role of “meaning making:” They found that Everything we do (and don’t do) becomes “meaningful” to someone else. .. Meaning” is “made” by formal structures, policies, alliances, and symbols. Research suggests meaning a student makes of his/her experience is a necessary process to fully understand a situation: Information is continuously filtered and processed; Information is sought from a variety of sources; Contributes /Affects identity construction; Uses past “cues” about themselves and others.
  9. Read slide….Address Spor 2008, and Tinto. Vincent Tinto provides seminal work in ecological studies, persistence, student integration. 2003 book Completing College Rethinking Institutional Action cites 5 conditions known to promote persistence. Expectations Support Feedback Involvement Learning
  10. Barnett (2012) sought to test five hypotheses and two sub-hypotheses such as whether high validation from faculty predicts a stronger intent to persist in college. Her study employed a quantitative correlational design. The salient finding from this study was that faculty student interaction involving validation denoted by Rendon (1994) influences student's sense of academic integration, which, in turn, influences intent to persist. Barnett's (2010) finding suggests that high levels of institutional service access and service care contribute to greater perceptions of anticipated persistence, which culminates in higher level of service efficacy
  11. Stratified random sample targeted 1,600 students resulting in 742 students. The qualitative analysis consisted of focus groups to triangulate the quantitative data findings for richer sensemaking. The analyses findings suggested that greater amounts of dissatisfaction, do not engage with various college segments, more likely to not meet with faculty members, and that variables associated with campus climate predicted whether African American male students transferred, had higher grade point averages, and graduated at higher rates from the target institution under study.
  12. Nakajima, Dembo, and Mossler (2012) conducted a qual examination of factors likely to influence a student's decision to drop out of or stay in school, Nakajima et al. (2012) interviewed a stratified random sample of 427 targeting 50 classes across two fall and spring semesters in a southern California community college. Used 3 instruments to assess various psychosocial variables: Institutional Integration Scale (IIS) (Pascarella & Terenzini (1980); College Self-Efficacy Inventory (CSEI) (Solberg, O'Brein, Villareal, Kennel, and Davis, 1993); and Career Decision Scale (CDS) (Osipow, Carney, Winer, Yanico, and Koschier, (1987). The Nakajima et al. (2012) study revealed that students most likely to persist in CC are those w/good grades, attend college on a full-time basis, and have good English skills. GPA was the strongest predictor of persistence. Lastly, other salient findings revealed that age, work hours, and financial aid influenced student persistence, but diminished when multiple variables were entered into the analysis.
  13. Guides ALL the work that we do so it will guide ALL of the data that you will see. We do not have time to walk through the model in detail, but we would like to direct your attention to the SEO domains that are positioned in the middle of the model. Each domain contains a specific set of variables that impacts student success for men of color in CCs. The domains emphasize interactions between societal, environmental, intrapersonal, and campus-based factors that influence student success outcomes for these men.
  14. Largely shaped by prior educational experiences Outgrowth of campus context We have control here
  15. Breadwinner Help-Seeking Feminine Domain – K-12 workforce Competitive Ethos -
  16. We have also learned that environmental factors matter, at least to an extent. Environmental factors refer to the pressures outside of college that influence students’ success inside of college. Sometimes these factors can contribute to success, more often than not, they do not. Here are a couple examples from the work we have done. Employment – three types (physically demanding, late night shifts, transitory) Stressful life events. 4 to 5 major.
  17. Talk about sense of belonging – how we measure Validation Outside of class (phone) train the janitor
  18. ANCOVA test differences between group, and are specifically used to control for contaminant variables called covariates. I controlled for these variables in order to make an apples to apples comparison by limiting the effects of the listed variables widely found to be considerable factors and experiences germane to African American males and college student success outcomes.
  19. I wanted to explore and examine an area of interest with close relation to my locus of control and work as a counselor, student advocate, and change agent. There is continually a need to validate the role and utility of Student Affairs and Service professionals. Therefore, I wanted to have an understanding of Southern Cali students perceptions of Student Services and the effects of these perceptions on potentially fragile conceptions of sense of belonging, academic confidence, and persistence.
  20. Service Access was a composite variable comprised of students levels of agreement with the following statements: Q1-The campus services I need for success are easy to access. Q2- I know which campus services to go to for help. Q3-The Campus services I need for success are available when I need them.
  21. I have the statistical information on the slide, but I really want to focus on the takeaway from the analysis without going down too far into the rabbit hole due to the need for more time for implications and discussion, we also have a 7 minute video. If there are specific statistical questions, hold them and feel free to follow up with me at the end of the presentation. So regarding the Service access variable, the Analysis indicated there was significant difference indicated at the .001 level. This accounted for medium effect size with 13.9% of variance in the outcome.
  22. Pairwise comparison were made using the Bonferroni procedure. Respondents who will not return due to not completing goal had significantly lower mean scores than those who (a) will not return because they completed their goal (MD=-8.291, p<.010) , (b) is certain they will return next semester (MD=-7.103, p<.05)
  23. So regarding the Service Use variable, the Analysis indicated there was no significant difference indicated as a result, the variable was excluded.
  24. Service care was a variable comprised of students levels of agreement with the following statements: I feel that staff members ( in these areas) care about my success. Staff members were denoted by the above student services areas.
  25. So regarding the Service access variable, the Analysis indicated there was significant difference indicated at the .001 level. This accounted for large effect size with 19.6% of variance in the outcome.
  26. Pairwise comparison were made using the Bonferroni procedure. Respondents who will not return due to not completing goal had lower mean scores than those who (a) will not return because they completed their goal (MD= -22.369 , p= .000) , (b) will return after taking a break (MD= -20.405 , p=.000 , (c) will probably return next semester (MD=2-.788, p=<001. ) , and (d) are certain they will return next semester (MD=-22.261, p =<001. )
  27. So regarding the Service Efficacy variable, the Analysis indicated there was significant difference indicated at the .002 level. This accounted for medium effect size with 9.9% of variance in the outcome.
  28. Pairwise comparison were made using the Bonferroni procedure. Respondents who will not return due to not completing goal had lower mean scores than those who (a) will not return because they completed their goal (MD= -7.755 , p. 008) , (b) will return after taking a break (MD= -6.401 , p= .041 ) , (c) is certain they will return next semester (MD=-7.170, p= .007.)
  29. Overall, this study found that students with lower levels of anticipated persistence, denoted by I will not return, I did not complete my intended goal, had significantly lower mean scores than those with higher perceptions of anticipated persistence compared to all other groups, with the most difference between respondents that cited they will definitely return next semester. This finding was consistent across all perceptions of student services access, care, and efficacy.
  30. Implications are based on findings and personal experience as counselor Access without success is useless 1/3 students report never meeting with their counselor/academic advisor ever. Process maps—whats the language we use for the students connect to, how can we clarify that language? Fault lines of disconnect and divide.
  31. Scharmer (2011)-Systems Thinking transforming organizations through moving from Ego systems to Ecosystem awareness The framework and model is based on the concept of Presencing vs Absencing The understanding that “The quality of results produced by any system depends on the awareness from which people in the system operate.” We cannot transform the behavior of systems unless we transform the quality of attention that people apply to their actions within those systems, both individually and collectively. Simply put we cannot change without changing.
  32. Ask yourself how far does your institution get in this process? Be honest? Hold that answer….
  33. 3 main steps of the U are to: Observer, Observe, Observe Retreat and Reflect—Let the inner knowing emerge Act in an instant—Prototype
  34. Things to consider at the end of this process…..
  35. When visualizing scaffolds we tend to think of structures thrown up alongside of buildings to support workers in their skyward efforts. "Structure" is the key word. Without clear structure and precisely stated expectations, many students are vulnerable to a kind of educational "wanderlust" that pulls them far afield. Scaffolding is a means by which students receive support in various forms in an effort to promote skills and understanding resulting in student independence by reduction of support as students progress. It’s ultimately a balancing act. 1) Scaffolding provides clear directions step- by-step directions to explain just what students must do in order to meet the expectations of their intended goals 2) Scaffolding clarifies purpose "Why am I doing this?“ (i.e. OAC—Priority Registration, CSEP, Prereq Clearance, ADT, AAT, Honors Program) Scaffolding keeps purpose and motivation in the forefront. 3) Scaffolding keeps students on task By providing a pathway or route for the student. The learner can exercise great personal discretion within parameters but is not in danger of "off road" stranding. Each time a student or team of students is asked to move along a path, the steps are outlined extensively 4) Scaffolding offers assessment to clarify expectations From the very start, scaffolding provides examples for students to model and clarify processes. Right from the beginning, students are shown rubrics and standards that define excellence 5) Scaffolding points students to worthy sources They want to see students putting their energy into interpretation rather than wandering. Scaffolding identifies the best sources to meet additional needs and hopefully 6) Scaffolding reduces uncertainty, surprise and disappointment The idea is to eliminate distracting frustrations and barriers to the greatest extent possible. The goal is to maximize service and learning efficiency. Once the lesson is ready for trial with students, the lesson is refined at least one more time based on the new insights gained by watching students actually try the activities. 7) Scaffolding enhances student efficiency on campus and in pursuit of goal Scaffolded programs should scream with efficiency. Teachers and students should shake their heads in disbelief. "It felt like we completed ten hours of work in just two!" "How did we get so much done?“ Scaffolded programs require hard work, but the work is so well centered on the inquiry that it seems like a potter and wheel. Little waste or wobbling. Scaffolding "distills" the work effort. Focus. Clarity. Time on task. The student is channelled. With minimal navigational hazards. 8) Ultimately… Scaffolding creates momentum Channeling student energy and intent through mitigating wandering phases, the channelling or pathway focus achieved through scaffolding concentrates and directs energy in ways that actually build into momentum that can foster persistence, retention, and positive student outcomes.