Ousmane Mahamane Presentation 3700
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Transcript of Ousmane Mahamane Presentation 3700
Flight Student’s Persistence
Ali Ousmane Mahamane
AVN 3700-Transportation AnalysisUniversity of Nebraska Omaha
Research Process Overview
• Research Question• Literature Review• Hypothesis Development• Logic Model• Methodology• Limitations• Questions
Research Question
• Theoretical standpoint:– Persistence is the ability to stay in a program, in
spite of the hardships.
• Persistence: – Probability of completing a certificate– The student determination to earn the certificate
Research Question
• Practical standpoint:– Not quiet observable– Variables changing
• What variables are affecting flying students persistence?
Literature review
• Ethnicity – Asians >Whites >Hispanic >African-American
• Finance– + income family have, + graduation rates
• Educational assistance– Home, University (Math Lab, Writing & Speech)
• Colleges management– Federal funds, programs reliability
Literature review
• Gender– Male > Female
• Grade Point Average• Experience– Hours logged– Part 61 (40 Hrs Private and 250 Hrs Comm.)– Part 141(35 Hrs Private and 190 Hrs Comm.)
Hypothesis Development
• Null hypothesis– A student is persistent– No relation between the variables
• In real life students drop out, others stay.– Reject the null hypothesis
Logic Model
• Sample– UNO Flight students, flight team members.
• Timeframe– Relative to the pilot certificate– 90 days, 12 weeks for the private– 200 days, 29 weeks for the commercial– Accurate data on attendance, other time related
variables
Logic Model
• Dependent variable– Time to graduate• Semesters, courses• Students & Academic advisor authorization
– Certificate completion rate• Progression• Break the down the steps to earn the license• Ground class, flight class, flight hours, assessments,
medical currency and others
Logic Model
• Independent variables– Finance• Personal funds, financial aid• Interview the student • cross-sectional study
– Weekly flying hours• # hours per week, longitudinal study• Flight provider and student authorization
Logic Model
• Independent variable– Attendance• Percentage of class attended• Longitudinal study• Flight instructor and student interview
– Gender• Male or female
– Race• Asian, White, Hispanic, Black
Methodology
• From student information & literature– Create variables– Scale for the variable– Assess the relation of data to graduation rate– Assign a coefficient to the variable– Product of the variables coefficient
Methodology
• Nomenclature– Funds -> FND– Hours -> HRS– Attendance -> ATD– Gender -> GDR
Methodology
• Note:– The coefficient are not applicable to the UNO sample. A
well conducted study will provide specific coefficient to the sample of the research.
– Coefficients from my own analysis of the topic based on the literature review
Methodology
• Race and RCE variable Race RCE ScaleAsians 2Whites 1Hispanics .7African-Americans .5
Methodology
• Gender and GDR ScaleGender GDR Scale
Male 1
Female .5
Methodology
• Weekly flying hours and HRS ScaleNumber of hours per session HRS Scale4 33 22 11 .10 .01
Methodology
• Attendance and ATD ScaleAttendance in percentage ATD Scale
100 175 .7550 .525 .250 0
Methodology
• Funds and FND ScaleStudents funds FND Scale
$10,000 to $9,000 4
$9,000 to $8,000 3
$8,000 to $7,000 2
$7,000 to $6,000 1
$6,000 to $5,000 .5
$5,000 to $4,000 .25
$4,000 to $3,000 .1
$3,000 to $0 .01
Methodology
• Compute the FND, HRS,ATD, GDR and RCE values
• Persistence = FND*ATD*GDR*RCE*HRS
Limitations
• Data on student’s funds– Personal information– Sharing issue
• Accessing the student’s credential– Written authorization of the student– Institutions collaboration
• Meeting with the student– Explain the research process– How important the data – Institutions, flight providers will benefit
Limitations
• Family Education Rights & Privacy Act– Subpart B: inspection and review student’s records
• Omission of other variable– weather, sickness and others. – Model valid if Ceteris Paribus