2011-2012 MICS Service Learning Projects

Service Learning Abstracts 2011-12

 Videos to Support Learning in Elementary Statistics

Aimee Bird, Katherine Graham, Adam Kenyon, Colin Lowry and Kevin Schick

 Description: For MICS Tutorial Video Project, we endeavored to create tutorial videos for a statistics class. The ultimate goal of these videos is to convey statistical concepts in a clear and concise manner. To complement this basic understanding of a particular statistical concept, these videos are also intended to provide the student with a degree of intuition regarding each topic. Thus, the student will understand why it would be important to utilize the statistical concept given a particular situation. Along with these videos, a functional, user-friendly website was also constructed during the course of this project. The website provides various sample questions and answers with each statistical concept. Having these resources available will permit the students to practice and develop their ability to solve problems. In the end, it is our aspiration that this project of creating tutorial videos will provide the foundation for constructing statistical competency.  The website can be viewed at http://mics.pointloma.edu/student/stats.

 Nursing Project 2011-2012: Determining the value of TEAS

Alex Buttweiler, Evan Grove and Walter Wagner

 Description: The nursing project is attempting to solve fundamental problems related to the low math and reading scores for nursing students observed over the past few years. The goal of this project is to predict retention and pass/fail for the NCLEX, which is the national exam to become a registered nurse, by analyzing grades from Biology, Chemistry, major Nursing courses, TEAS reading/math scores, and their overall GPA. Binary logistic regression is the primary statistical method used in order to give predictions for the data. The outcome was that the TEAS exam had very little impact on predicting which students will pass or fail the NCLEX. The only significant factor in determining which students will be successful was GPA.

 Political Science Assessment Analysis Project 2012
Alex Buttweiler, Evan Grove and Walter Wagner

Abstract: The main objective of this paper is to present the trends that the service learning team discovered when analyzing the collection of entrance and exit surveys taken by students in the Political Science and International Relations majors. Frequency counts were used to analyze the data; the survey answers were categorized and then analyzed based on the percentages of students responses. This paper will provide the Department of History and Political Science at PLNU with the conclusions drawn from the data given in this survey-format. The outcome was that overall students felt that they were considerably better off than they were when they entered the major. The only negative outcome was that students did not feel like they were as well prepared as students from other schools overall.

 Analysis of Factors Relating to Retention within Point Loma Nazarene University’s Biology Department

 Cosette Tiguila and Ethan Wade

 Abstract: In an average year the Biology Department at Point Loma Nazarene University added 50 to 60 new students which could be sustained with the Department’s current resources.  Entering the 2011-2012 academic school year there were nearly 100 new students which exceeds the long term sustainability of the Department’s resources; therefore, an analysis of factors that contribute to student retention was performed in order to determine what traits, if any, predict a student’s success in Biology Department.  The results of this study will assist in determining how best to address the rise in the number of students. The data used for the study was from students enrolled in the following majors from 2005-2011: Biology – BA, Biology – Chemistry, Biology – BS, Environmental Science, Biology – Cell & Molecular BA, Biology – Organismal BA, Biology – Cell & Molecular BS, and Biology – Organismal BS.  Due to a lack of time, no definitive analysis was accomplished; however,  there appears to be a correlation between a student’s weighted high school GPA; English and Math ACT percentile; and RAW Math, Writing and Verbal SAT scores and whether the student switched or graduated from the Biology Department. Future studies are needed to determine the accuracy of this finding and also to address other possible predictive factors such as college GPA, advanced placement tests taken prior to being admitted, student career goals and extracurricular involvement.