The purpose of this study was to obtain information about the knowledge and attitudes of students, staff, faculty, and administrators in the community colleges in the Tennessee Board of Regents (TBR) system about the ethical issues relating to the current policies and laws regarding the use of computers and software; to compare the knowledge and attitude of these users and to investigate any relationships that may exist between users, knowledge and attitude toward computer ethics. A total of 700 students (280), staff (140), faculty (140), and administrators (140) from the 14 TBR community colleges were surveyed. The total responses was 389 (55.57%) which included 161 students (57.5%), 76 staff (54.29%), 81 faculty (57.86%), and 71 administrators (50.71%). Fifteen hypotheses generated from 6 research questions were tested using Kruskal-Wallis test, Mann-Whitney U test, t -test and Spearman's rho. This study showed that administrators possessed the most knowledge about computer ethics, followed by faculty and staff. Students were shown to know the least about policies and issues concerning computer ethics. Age did not have any impact on the knowledge of computer users but affected the attitudes of students. No differences were found in the knowledge or attitudes toward computer ethics between gender groups. The frequency of computer usage did not affect the knowledge of computer users while it had influence on the students, attitudes toward computer ethics. Training on computer ethics positively affected the computer users, knowledge about computer ethics. For staff, faculty, and administrators, training on computer usage generally did not affect their knowledge and awareness of computer ethics nor did the frequency of computer usage, age, or gender. However, these factors affected the knowledge of student group. Research results showed a correlation between the knowledge and attitudes toward computer ethics for faculty and administrators in general. There tended to be a positive correlation between the knowledge and attitudes toward computer ethics for faculty and administrators who used computer daily and of age 40 or older. It indicated that the more awareness of computer ethics, the more they favor of tighter control of computer use.

The purpose of this phenomenological research study was to describe the cultural influences of resource dependence for community college administrators responsible for the implementation of initiatives related to Tennessee’s new performance funding program. Tennessee’s funding formula, considered one of the most aggressive and robust in the country, is among a second generation of performance funding programs commonly referred to as performance funding 2.0. Cultural influences of resource dependence were defined as values, beliefs, and customs that influence administrator efforts to improve institutional outcomes and acquire additional resources through performance funding. A top performing community college in terms of the performance funding formula was selected because resource dependence theory suggests that a college succeeding under performance funding would be one that is adapting to improve outcomes and acquire state appropriations. Data were gathered from interviews with 10 administrators responsible for the implementation of initiatives related to Tennessee’s new performance funding program. Data were also gathered from 3 observations and 144 documents. Findings indicated 4 themes: (1) Students Come First (values), (2) Pathway Mentality: Benefits and Conflict (beliefs), (3) The College Way: Be First, Be the Best (customs), and (4) Building on Foundation, Maintaining Momentum (changes). Overall, cultural influences of resource dependence for administrators responsible for implementing initiatives related to performance funding appear to be limited. Data suggest administrators are influenced by multiple cultural influences such as personal values, sense of community, faith in leadership, belief in the purpose of community colleges, and personal and institutional pride. Although data indicate resource dependence has some influence, data also indicate that the power of performance funding’s influence appears connected to the vision and narrative it embodies. The study is significant because it contributes to the body of knowledge related to performance funding 2.0 programs. The study also provides rich understanding of cultural influences of performance funding and addresses the relationship between culture, organizational behavior, and organizational change.

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Objective: The study assesses the impact of dual enrollment participation on remediation and completion for traditional first time, full-time freshmen at a community college in Northeast Tennessee. Method: This study began with the full population of 1,232 students who enrolled between 2008 and 2012 at a community college in northeast Tennessee the fall semester after finishing high school. The population was required to have American College Testing (ACT) scores, completely fill out the Free Application for Federal Student Aid (FAFSA), enroll full-time as a degree-seeking student, and complete the first fall semester. Propensity score matching was utilized to eliminate self-selection bias and enable parametric comparisons using optimal matching of dual enrollment participants and non-participants while controlling for a range of covariates. Results: The analyses showed that community college students who participated in dual enrollment were (a) 9% or nearly 3.4 times less likely to take remediation, (b) 26% or nearly 2.5 times more likely to graduate in 2 years, and (c) 28% or nearly 1.5 times more likely to graduate in 3 years. Contributions: This study contributes to the literature showing that dual enrollment reduces remediation rates and assists in timely completions for community college students. Policy recommendations are to increase equitable participation, normalize dual enrollment for students academically able to do college coursework, align state terminology with the nation, and improve data for future research.

Excerpt:The purpose of this study was to determine a student’s computer knowledge upon course entry and if there was a difference in college students’ improvement scores as measured by the difference in pretest and post‐test scores of new or novice users, moderate users, and expert users at the end of a college level introductory computing class.

Despite holding a majority of lower and middle management positions in public two-year institutions, women still hold only one-third of current community college presidencies. This study explored the gendered phenomenon of navigating the career pipeline in higher education to reach the office of community college president. The purpose of the study was to examine the educational backgrounds and career paths of recently-appointed female community college presidents, as well as the barriers and sources of support they encountered while navigating the career pipeline. A phenomenological approach was utilized for this qualitative study. Data was primarily collected using semi-structured interviews. Additional sources for data collection include reflection logs, memos, and document analysis. A modified van Kaam method of data analysis was used to code participant data and identify recurring thematic elements. These recurring thematic elements provided the foundation for individual descriptions of the phenomenon, which were later synthesized to create a composite description. Results suggest that study participants encountered three types of barriers while navigating the career pipeline in higher education: institutional, birdcage, and internal. The term “birdcage barriers” was coined here to describe scenarios in which aspiring female leaders could identify opportunities for professional growth or advancement, but were unable to access these opportunities because of situational boundaries. Findings also suggest study participants benefited from three sources of support: institutional, personal, and individual traits/strategies. Additional findings include: participants were reluctant to label gender a barrier; most of the institutional bias encountered by participants was second-generation; and, as aspiring leaders in higher education, participants required intrusive recruitment.

Student attrition prior to the completion of a credential is an issue that has increasingly demanded the attention of stakeholders in higher education, particularly in the community college sector, in which less than half of all students complete a credential after six years. The costs of student attrition are high and widespread, ranging from the financial costs for institutions and federal and state governments to the personal and monetary costs paid by those students whose personal and professional goals are not achieved. With the ever-increasing focus on accountability for institutions of higher education and the growing movement toward performance-based funding, institutions are seeking to find ways to support all students on the path to completion of a credential. Building upon Braxton’s theory of powerful institutional levers that serve to promote student completion, Rendon's validation theory, and Schlossberg's theory of marginality versus mattering, this two-part companion dissertation seeks to progress conversation beyond levers of retention as programmatic approaches to increasing student success. Through interviews with community college students serving as peer mentors in a student ambassador program and community college faculty identified by peers and supervisors as high performing in the area of student retention, the researchers seek to identify common characteristics, behaviors, backgrounds, conditions, and values possessed by effective human levers of retention. In doing so, the researchers hope to identify common characteristics among successful human levers of retention in the form of peer mentors and faculty members. This work is in part a collaborative piece that should be read with Kim Russell’s At the Heart of Policies and Programs: Community College Faculty Member and Peer Mentors as Human Levers of Retention.

Low graduation rates are a significant issue for colleges. The majority of higher education institutions in the United States offer learning communities (LCs), which have been found to be effective for improving course success and persisting to the next semester. However, there is a gap in the literature regarding the effectiveness of LCs with different types of populations and different types of LCs. The purpose of this meta-analysis was to identify the most effective types of LCs. Research questions addressed the effects of different types of LCs on different student success outcomes for community colleges. The study was based on Tinto's interactionist model of student departure and Astin's model of student involvement. Studies examining the relationship between student success and participation in college LCs provided the data for the meta-analysis. A random effects model was used to generate the average effect size for 39 studies and 50 individual effect sizes. The results showed that LCs are most effective with community college students when they include additional support strategies, counseling is available to students, one of the linked courses is an academic skills course, at least one of the linked course is developmental, and the focus is on increasing course success or student engagement. The implications for positive social change suggest that LC programs implement two linked courses, include an academic skills course, focus on developmental courses, and provide access to a counselor and additional student support strategies. In addition, LC programs are most effective when the goals of the program are student engagement and course success.

Community colleges are the largest segment of higher education institutions in the United States providing access to historically underserved populations and growing numbers of first generation college students. Increasing college degree attainment is a national priority with new expectations of accountability. Despite decades of educational research, community colleges have startling low completion rates. Within the framework of Tinto's theory of retention, a predictive analytics model could provide community colleges the opportunity to drive custom intervention and support services to students. The purpose of this study was to explore the utility of Biglan's taxonomy for categorizing courses for potential use in a data analytics model to identify students at risk of failure to complete. The quantitative census study used archival data from 1,759 students. Log-linear analysis was used to test the key research question as to whether there is a predictive relationship between type of course failed, as cross-categorized by the dimensions in Biglan's taxonomy, in the first term and failure to complete a degree or certificate within 6 years. The analysis showed that a more parsimonious model, based on the interaction term for the life/nonlife and pure/applied Biglan categories, appeared related to completion, although no standardized residual was significant. A larger and more diverse sample may be necessary to determine the true effectiveness of Biglan's taxonomy as a classification schema in a predictive analytics model of degree completion. Based on these results, first term course failure appears to be a logical point for programmatic support that could lead to higher levels of associate degree completion opening doors of employment opportunity through education, thus supporting social change.

Researchers have found low online course completion rates to be a complex problem in higher education. Meanwhile, theory on adult learners' online persistence highlights the importance of a sense of school community. At the small, rural focus community college (FCC) for this study, general education online course completion rates are lower than the national average. FCC has not addressed the low online course completion rates. Using Rovais' composite persistence model as the conceptual framework, this instrumental case study examined how students' experiences and perceptions of a sense of school community contribute to their ability to complete online general education courses. Semistructured interview data were gathered with a purposeful, criterion-based, sample of 9 adult online students taking online general education courses. The inductive data analysis utilized case and cross-case analysis, marking, cutting, and sorting of text until 4 themes emerged: interaction, sense of belonging, support, and educational values. The results led to a white paper recommending an orientation and community space, asynchronous video technology, and an online curriculum instructional designer. This study contributes to positive social change by providing FCC with program and policy change recommendations that support the colleges' goals of increasing access and success. Increased educational access and success for the local adult population creates informed citizens, contributes to economic growth, and provides a higher quality of life for the community.