Open Journal Systems @ JSBL (California State University, Channel Islands - CSCUI)
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Academic Advising and the Evaluation of Student Petitions
Full text linkAt some universities, academic advisors manage the evaluation of petitions, while at others it is the responsibility of the Registrar’s office. For the purposes of this article, petitions are requests initiated by students for some sort of exception to a stated rule or policy. Decisions a university makes on these types of petitions can have long-reaching implications for a student’s time to degree, GPA, and even degree completion. As a result, those who evaluate these petitions and the processes they use to make these evaluations, play a central role in student success and retention. Based on the literature and my own professional experience, I argue that academic advisors are the individuals best qualified to evaluate these cases, and that this contributes to institutional equity as it reduces administrative barriers for students. 
The Center for Community Engagement and Faculty: A Collaboration For Making a Better Service Learning Experience
No full textThe Center for Community Engagement (CCE) is one of four centers that are designed to promote California State University Channel Islands’ mission. Specifically, the CCE provides resources to faculty, community partners, and students who are involved in service learning courses. The CCE is integral to fulfilling the mission since it connects students to the broader community and promotes learning through experience and service. Although most research on service learning focuses on the students’ experience and how students are transformed by their service, much less is devoted to faculty experiences. However, understanding faculty experiences with service learning is vital since faculty are the ones that organize and facilitate these courses on a day-to-day basis. Thus, it is important to recognize what resources faculty use when planning these courses and what constitutes some of the best practices to make service learning successful. This research project seeks to identify, describe, and analyze the best teaching practices of faculty in service learning courses and which resources faculty use in order to create a service learning course at CSUCI. Through our in-depth interviews with 12 faculty who taught service learning courses within the academic year of 2015, we find that faculty are utilizing the suggested best practices but are doing so in individualized ways. These faculty feel overwhelming supported by the CCE but would like to see some sort of faculty support or mentorship group for service learning faculty
Assessment Overview
No full textThis presentation provides an introductory guide for key terms often used when discussing assessment practices in schools, as well as reasons for conducting learning assessments. Distinctions are made between assessments, measurements, and evaluations as a framework for beginning the overview. The presentation ends with putting assessments in the context of instruction and their relation to learning objectives and instructional practices
Chronic Disease Prevention Program
No full textAs our population continues to grow, health professionals in the U.S. have a growing concernfor the current and future population related to diabetes mellitus. Diabetes is an underlyingdisease that occurs when one’s blood sugar level is too high for a prolonged period of time.(1)When untreated, short-term and long-term effects are detrimental. Acute complications include:“diabetic ketoacidosis, hyperosmolar hyperglycemic state, or death.” (3) Moreover, the long-termeffects include: “cardiovascular disease, stroke, chronic kidney disease, foot ulcers, and damage tothe eyes.”Diabetes is a growing epidemic causing health professionals to research prevention methods aswell as a way to diagnosis patients based on certain characteristics. As a result, the Chronic DiseasePrevention Program (CDPP) provides blood sugar testing in a non-traditional setting (e.g. grocerystores, libraries, etc.). By using the CDPP data set and applying the tools of machine learningwe will predict whether someone is diabetic or requires additional testing. Machine learning is away to develop algorithms, allowing the computers to learn. The attributes that will be analyzedin the data set are: BMI group, age, gender, blood sugar, self diabetes, and whether the testingwas done during fasting or randomly. These attributes were analyzed using Linear Regressionto learn more about the relationship between the response variable (i.e. blood sugar) and theexplanatory variable. Besides applying Linear Regression, we used Multiple Linear Regression aswell a K-Nearest Neighbors, and Decision Tree
Indicators of Change: Exploring Trends in Racial, Socioeconomic, and Demographic Characteristics Across California Counties
No full textOne of CAHRO’s stated goals is to “build the capacity of organizations addressing human relations issues through information sharing, training, and technical assistance”. This series of reports, a collaboration between CAHRO and CSU Channel Islands Sociology students, contributes to this goal by providing community stakeholders access to empirical results related to various forms of demographic, social, and economic changes taking place across select California counties from 2000 to 2016. Using data from the 2000 Census and 2012-2016 American Community Survey (ACS), we document trends taking place across four broad categories: racial and ethnic change, income inequality, housing inequality, and population aging. The goal is that CAHRO and its network affiliates can use these descriptive portraits to gain a better understanding of contemporary changes in their respective counties and identify particular areas of need. This series includes reports for the following counties:
· Alameda
· Orange
· San Diego
· Santa Clara
· Kern
· Riverside
· San Francisco
· Ventura
· Los Angeles
· San Bernardino
· San Mateo
 
An Assessment of the Status of Women in Ventura County, 2011
No full textThis report was completed as a service-learning project by Sociology capstone students at California State University, Channel Islands, in collaboration with the Ventura County Commission for Women (VCCW). The report is a compilation of publically available secondary data designed to assist the VCCW in evaluating the general status and particular needs of women in the county. Throughout the report, comparisons are made between women and men, or between Ventura County and larger geographic aggregations (California and the United States as a whole). Findings are presented in the following areas: demographics; educational attainment; employment and earnings; household composition and homelessness; political participation; health and well-being; child care and Women, Infants, and Children assistance; and violence and safety
CSU Channel Islands Osher Lifelong Learning Institute: Member Satisfaction Survey Report, 2011
No full textThe research was conducted with and on behalf of the Osher Lifelong Learning Institute (OLLI) at CSU Channel Islands to identify and measure levels of satisfaction among members (students). It is based on a concurrent survey of both current and former members of OLLI. Of the total surveys we collected (N = 208), 152 were completed by current members and 56 by former members, during the last two weeks of March 2011. Findings are presented in the following areas: member demographics; member characteristics; preferences regarding class offerings; member satisfaction; and member preferences regarding social events
Preparing Teacher Candidates for Diverse Learners
Full text linkResearch on the academic achievement of K-12 students indicates that diverse students and students with exceptionalities face barriers to a quality education (Ladson-Billings, 2006). Responsibility falls to teacher preparation programs to ensure teacher candidates are prepared to engage diverse learners. We examine the literature regarding culturally responsive practices and teacher-efficacy in implementation. We further consider how a teacher preparation program assesses candidates’ ability to design instructional environments for diverse learners