1. The Impact Of Clustering Freshman Seminars With English Composition Courses On New Students’ Grade Point Average And Retention Rates Open Access Author: Crissman, Jennifer Lynne Title: The Impact Of Clustering Freshman Seminars With English Composition Courses On New Students’ Grade Point Average And Retention Rates Graduate Program: Higher Education Keywords: Academic AchievementRetentionFreshman SeminarsClustering File: Download etd.pdf Committee Members: Carol L Colbeck, Committee MemberRobert M Hendrickson, Committee MemberM Lee Upcraft, Committee Chair/Co-ChairRoger Lewis Geiger, Committee Member
2. Non-volatile Ferroelectric Transistor based Memory Design: Device-Circuit Analysis Considering Gate Leakage Open Access Author: Thirumala, Sandeep Krishna Title: Non-volatile Ferroelectric Transistor based Memory Design: Device-Circuit Analysis Considering Gate Leakage Graduate Program: Electrical Engineering Keywords: Ferroelectric TransistorsGate LeakageFEFET MemoriesPolarizationRetention File: Download Masters_Thesis_Sandeep_Thirumala_Submitted.pdf Committee Members: Sumeet Kumar Gupta, Thesis Advisor/Co-AdvisorMehdi Kiani, Committee Member
3. Pennsylvania Teacher Shortage Areas: Supply, Demand and Retainment Open Access Author: Goodale, Tabatha Title: Pennsylvania Teacher Shortage Areas: Supply, Demand and Retainment Graduate Program: Educational Theory and Policy Keywords: Teacher ShortageAttritionRetentionInduction File: Download Tabatha_Goodale_Thesis_Spring2019.pdf Committee Members: Maryellen Schaub, Thesis Advisor/Co-Advisor
4. Investigating Millennials’ Perceptions of Employee Engagement and Retention in the U.S. Consulting Industry Open Access Author: Farzam, Leila Title: Investigating Millennials’ Perceptions of Employee Engagement and Retention in the U.S. Consulting Industry Graduate Program: Workforce Education and Development Keywords: Employee engagementRetentionMillennialsLeadershipDE&IOrganization DevelopmentOrganizational CultureChange ManagementHuman Capital File: Download Leila_Farzam_Dissertation_Final.pdf Committee Members: Wesley Donahue, Co-Chair & Dissertation AdvisorWilliam Rothwell, Co-Chair & Dissertation AdvisorMark Threeton, Major Field MemberJohn Ewing, Outside Unit & Field MemberHeather Zimmerman, Professor in Charge/Director of Graduate Studies
5. Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army Open Access Author: Garcia, Miguel Title: Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army Graduate Program: Data Analytics Keywords: Artificial IntelligenceMachine LearningAIDeep LearningDecision TreeLogistic RegressionRandom ForestXGBoostArtificial Neural NetworkDeep Neural NetworkU.S. ArmyMilitaryAttritionRetentionPerson-Event Data EnvironmentPDEDepartment of DefenseDoDArmy Analytics GroupAAGNaive BayesActive DutyEnlistmentCommissioned OfficersSoldiersArea Under the CurveAUCData AnalyticsRetirementMEDPROSPHAMEPCOMDTMSATMSROC CurveVariable ImportancePreprocessingData Quality File: Download Insights_on_the_use_of_AI_to_Predict_Retention_of_Career_Soldiers_in_the_US_Army.pdf Committee Members: Colin Neill, Program Head/ChairPartha Mukherjee, Thesis Advisor/Co-AdvisorGuanghua Qiu, Committee MemberYouakim Badr, Thesis Advisor/Co-Advisor
