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Full-Text Articles in Physical Sciences and Mathematics
Correlation Between Scores On The Assessment And Learning In Knowledge Spaces Placement, Preparation, And Learning Test And General Chemistry Course Outcomes For Undergraduate Students At A Public Midsize Master's University, Crystal Kaye Keso
All NMU Master's Theses
This study examined the problem of gateway courses in Science, Technology, Engineering, and Mathematics (STEM), specifically, high-enrollment introductory chemistry courses with high rates of D, F, withdrawal, or incomplete grades. Previous research revealed a correlation between students’ prior mathematics knowledge and introductory chemistry course outcomes. Reports using the Assessment and Learning in Knowledge Spaces Placement, Preparation, and Learning (ALEKS PPL) test were limited in number. This study conducted a non-experimental retrospective correlational analysis between undergraduate students’ ALEKS PPL test scores and introductory chemistry course grades. The study’s theoretical framework was grounded in prerequisite and placement testing theories. The major findings …
Generation Z Cybersecurity Learners: The Identification Of Cybersecurity Instructor Strategies And Attributes That Maximize Student Engagement, Jeffrey Rice
Scholar Week 2016 - present
There exists a significant shortage of cybersecurity specialists in the workforce. Universities should endeavor to keep cybersecurity students engaged if they desire to be competitive and contribute graduates to the remediation efforts of this cybersecurity deficit. Instructors significantly contribute to student engagement and there is a correlation between student engagement and student retention. The purpose of this regional qualitative exploratory study was to identify attributes that Generation Z collegiate cybersecurity learners felt kept them engaged in their cybersecurity courses. The sample comprised 10 individuals identified as GenZ and used purposeful and snowball sampling to select participants. A semi-structured interview strategy …
First-Year Computer Science Students: Pathways And Perceptions In Introductory Computer Science Courses, Christina A. Leblanc
First-Year Computer Science Students: Pathways And Perceptions In Introductory Computer Science Courses, Christina A. Leblanc
Electronic Theses and Dissertations
This study examined student perceptions and experiences of an introductory Computer Science course at the University of Maine; COS 125: Introduction to Problem Solving Using Computer Programs. It also explored the pathways that students pursue after taking COS 125, depending on their success in the course, and their motivation to persist. Through characterizing student populations and their performance in their first semester in the Computer Science program, they can be placed into one of three categories that explain their path; a “continuer” (passed COS 125 and decided to stay in the major), a “persister” (did not pass COS 125 and …
Student Insights Report, Fall 2019, The Center For Student Analytics
Student Insights Report, Fall 2019, The Center For Student Analytics
Publications
For the past three years, the staff of the Center for Student Analytics have worked to discover and expose meaningful, data-informed insights into what helps students succeed at Utah State University. The following pages highlight 20 of the most useful insights we found provided here in small sets that will be useful to students, faculty, staff, university leadership, parents, and even prospective students. As you explore this report, we encourage you to see the student data as a window into USU itself. While big data helps us understand how individual students are performing, it tells us a great deal more …
A Storytelling, Social-Belonging Intervention In An Introductory Computer Science Course, Shanon Reckinger, Chris Gregg
A Storytelling, Social-Belonging Intervention In An Introductory Computer Science Course, Shanon Reckinger, Chris Gregg
ASEE IL-IN Section Conference
A brief social-belonging intervention was tested in two introductory computer science (CS) courses. This intervention used storytelling to help improve a sense of belonging and establish the importance of persistence in the classroom. In previous experiments using this one-time intervention, there were significant results (Walton & Brady, 2017). Recent CS graduates were interviewed about their own struggles and failures in their computer science courses. These interviews were videotaped and edited to follow the storytelling pattern of a struggle, followed by an attribution, and concluding with redemption. Interviewees were selected to represent a diverse group of students including both dominant majority …
Aligning Best Practices In Student Success And Career Preparedness: An Exploratory Study To Establish Pathways To Stem Careers For Undergraduate Minority Students, Kimberly D. Kendricks, Anthony A. Arment, K. V. Nedunuri, Cadance A. Lowell
Aligning Best Practices In Student Success And Career Preparedness: An Exploratory Study To Establish Pathways To Stem Careers For Undergraduate Minority Students, Kimberly D. Kendricks, Anthony A. Arment, K. V. Nedunuri, Cadance A. Lowell
Journal of Research in Technical Careers
Undergraduate minority retention and graduation rates in STEM disciplines is a nationally recognized challenge for workforce growth and diversification. The Benjamin Banneker Scholars Program (BBSP) was a five-year undergraduate study developed to increase minority student retention and graduation rates at an HBCU. The program structure utilized a family model as a vehicle to orient students to the demands of college. Program activities integrated best K-12 practices and workforce skillsets to increase academic preparedness and career readiness. Findings revealed that a familial atmosphere improved academic performance, increased undergraduate research, and generated positive perceptions of faculty mentoring. Retention rates among BBSP participants …
The Engineering Admissions Partnership Program: A Navigation Strategy For Community College Students Seeking A Pathway Into Engineering, Marcia R. Laugerman, Mack C. Shelley, Steven K. Mickelson, Diane T. Rover
The Engineering Admissions Partnership Program: A Navigation Strategy For Community College Students Seeking A Pathway Into Engineering, Marcia R. Laugerman, Mack C. Shelley, Steven K. Mickelson, Diane T. Rover
Diane Rover
This paper presents the evaluation of a program designed to improve transfer outcomes for community college students pursuing an engineering degree. The program, the Engineering Admissions Partnership Program (E-APP), was designed to improve the navigational success of community college transfer students through connections to the university. These connections include coordinated academic advising, peer-mentoring, campus visits, and online social and professional networks. The objective of the study is to determine the efficacy of the E-APP and its interventions, which will be measured by increased participation rates and increased university retention rates for E-APP participants. Outcome data for the students are analyzed …
The Inevitability Of Playing Politics As Chair: Advantages And Pitfalls, Domenick Pinto
The Inevitability Of Playing Politics As Chair: Advantages And Pitfalls, Domenick Pinto
School of Computer Science & Engineering Faculty Publications
Politics is a term often frowned upon as it pertains to the role of an academic leader. However as chair for almost 29 years it has become an essential yet sometimes unwanted aspect of the daily rigors of the position. This session explores the advantages and pitfalls of “playing politics” as a department chair.
A Predictive Modeling System: Early Identification Of Students At-Risk Enrolled In Online Learning Programs, Mary L. Fonti
A Predictive Modeling System: Early Identification Of Students At-Risk Enrolled In Online Learning Programs, Mary L. Fonti
CCE Theses and Dissertations
Predictive statistical modeling shows promise in accurately predicting academic performance for students enrolled in online programs. This approach has proven effective in accurately identifying students who are at-risk enabling instructors to provide instructional intervention. While the potential benefits of statistical modeling is significant, implementations have proven to be complex, costly, and difficult to maintain. To address these issues, the purpose of this study is to develop a fully integrated, automated predictive modeling system (PMS) that is flexible, easy to use, and portable to identify students who are potentially at-risk for not succeeding in a course they are currently enrolled in. …
Work In Progress: The Wsu Model For Engineering Mathematics Education, Nathan W. Klingbeil, Richard Mercer, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds
Work In Progress: The Wsu Model For Engineering Mathematics Education, Nathan W. Klingbeil, Richard Mercer, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds
Kno.e.sis Publications
This paper summarizes progress to date on the WSU model for engineering mathematics education, an NSF funded curriculum reform initiative at Wright State University. The WSU model seeks to increase student retention, motivation and success in engineering through application-driven, just-in-time engineering math instruction. The WSU approach involves the development of a novel freshman-level engineering mathematics course EGR 101, as well as a large-scale restructuring of the engineering curriculum. By removing traditional math prerequisites and moving core engineering courses earlier in the program, the WSU model shifts the traditional emphasis on math prerequisite requirements to an emphasis on engineering motivation for …