THE WESTERN NORTH CAROLINA TECHNOLOGY CONSORTIUM: A COLLABORATIVE APPROACH TO BRIDGING THE DIGITAL DIVIDE

Community college presidents face an uphill struggle in preparing their institutions for the rapidly changing technological learning environment. Visionary presidents in rural community colleges are presented with yet another challenge: that of finding themselves on the wrong side of the digital divide. This article describes how presidents of 12 rural community colleges in the mountains of western North Carolina formed a technology consortium to collaboratively address critical technology issues. Integral steps in the joint venture were a combined assessment and planning process authorized by the presidents, formation of the Western North Carolina Technology Consortium, and an e-commerce project designed to meet the needs of small busi-nesses and entrepreneurs in the region. Lessons learned and implications for practice are presented for community college presidents seeking ways to collaborate.     

Promoting Completion Through Organizational Development and Process Improvement

In 2007, Tulsa Community College (TCC) joined the national Achieving the Dream (ATD) network, which is dedicated to developing data-informed interventions to increase persistence and completion among community college students. TCC’s participation in the national initiative set it down a path for positive institutional change, but it was the College’s restructuring of their internal work teams and their process improvements since 2011–2012 that have resulted in a sustainable system that will help retain knowledge and ensure successful leadership transitions. In 2013, TCC rebranded its modified ATD system as Completing the Dream, combining the goals of Complete College America with the action research principles of Achieving the Dream. Because of these efforts, the College is in a stronger position today than it has ever been to serve our students using evidence-based strategies, ultimately resulting in more college-educated citizens in the Tulsa area.     

Community College and Community Leader Expectations of the “Village”

A level of consistency between community college leaders and community leaders is necessary to demonstrate behaviors, actions, and beliefs that shape, represent, and support expected community values. Likewise, communities, which are collectives of suborganizations, play an important role in aiding individual development, especially related to educational attainment. This study sought to understand ways in which community college leaders and community leaders demonstrate behaviors, actions, and beliefs that shape, represent, and support community values, particularly the influence on an individual's acceptance of formalized education and continued education beyond compulsory schooling. Data were collected from 113 mayors and community college presidents/deans around the United States. Analysis of the data indicated five types of actions consistent among the two groups including the promotion of civic involvement, community growth and development, economic development, well-being of citizens, and value of education.     

Effectiveness of Summer Bridge Programs in Enhancing College Readiness

An alarmingly high percentage of recent high school graduates are not prepared to succeed in college-level courses, and the impact of this educational shortcoming is substantial. Underprepared college students incur a monetary cost of enrolling in remedial courses, and states and taxpayers subsidize much of the overall cost of developmental education. In addition, underprepared students are less likely to graduate from college, thus impacting their earning potential and the nation's economic need for a more highly educated workforce. One approach to reducing the need for developmental education is high school bridge programs. These programs, which usually take place on a college campus, provide interventions that help targeted students aspire to, prepare for, and achieve college enrollment. This article reports on the effectiveness of bridge programs at Texas colleges in the summer of 2007; it covers two community college programs that demonstrated the highest pre- to postprogram student achievement gains of the participating institutions. Findings from this study and previous research suggest that effective bridge programs (a) have very strong relationships with their partner school districts; (b) provide professional development to all program staff; (c) conduct preprogram orientation sessions and closing ceremonies; (d) provide bus transportation; (e) involve parents in the program; (f) provide students with labs to support classroom instruction; (g) provide academic advising and other support services; and (h) implement both formative and summative evaluation methods.     

Culturally Responsive Pedagogy and Online Learning: Implications for the Globalized Community College

Implicit in the open-door mission of the community college is the mandate that every learning experience should offer full equity and inclusion for all learners, including those of diverse cultural backgrounds. This mission is paramount, given the cultural diversity represented among learners served by the globalized community college. This paper presents a cross-section of research, practice, and discourse focused on expanding our knowledge and understanding of the diverse learning needs of community college learners. The relevance of the literature to the planning, design, and implementation of distance-learning is discussed. In the end, the authors offer distance-learning instructional strategies that may accommodate the unique needs of Hispanic/Latino learners. Implications for community college educators are discussed.     

Learning Together: A Family-Centered Literacy Program

ABSTRACT

Blue Ridge Community College in Flat Rock, North Carolina serves a rapidly growing Hispanic population through its Family-Centered Literacy Program. The Hispanic population in the region has been increasing at a staggering rate of 50% per year, most of which is in-migration. These newcomers frequently face challenges adjusting to their jobs, schools, and living environment. The Family-Centered Literacy Program is teaching new skills to new residents to minimize the “culture shock”, and to make community immersion a less difficult process. The program offers evening classes 2 nights a week for parents and their children. Parents attend classes in basic and conversational English and General Education Development (GED) preparation; school-age children receive tutoring and help with homework; and preschool children learn from fluency-building games and activities. The college also provides Spanish instruction for school personnel who want to better communicate with Hispanic students and their parents. The program currently operates in 5 elementary schools. Each school has taken on the role of “community center” for Hispanic families.     

REFROMING WRITING AMONG STUDENTS IN COMMUNITY COLLEGES

ABSTRACT

The Writing Across the Curriculum (WAC) movement, which swept through all levels of American education during the 1960s and 1970s, seemed a logical remedy for student writing deficiencies. However, the impact of WAC has not lived up to its promise. The WAC movement, as currently implemented in many community colleges, may be ineffective at best. To significantly improve student writing, systemic reform in pedagogical practice in English composition courses and throughout the disciplines is imperative. With no reform, we may unintentionally rob writing of its ability to be a tool for learning, thus negating the movement's primary goal. This article provides an historical perspective of writing across the curriculum, alongside a suggested reform model that includes essential components.     

The surprising viability of a simple alternate estimation procedure for construction of large‐scale structural equation measurement models

As part of developing a comprehensive strategy for structural equation model building and assessment, a large‐scale Monte Carlo study of 7,200 covariance matrices sampled from 36 population models was conducted. This study compared maximum likelihood with the much simpler centroid method for the confirmatory factor analysis of multiple‐indicator measurement models. Surprisingly, the contribution of maximum likelihood to model analysis is limited to formal evaluation of the model. No statistically discernible differences were obtained for the bias, standard errors, or mean squared error (MSE) of the estimated factor correlations, and empirically obtained maximum likelihood standard errors for the pattern coefficients were only slightly smaller than their centroid counterparts. Further supporting the recommendations of Anderson and Gerbing (1982), the considerably faster centroid method may have a useful role in the analysis of these models, particularly for the analysis of large models with 50 or more input variables. These results encourage the further development of a comprehensive research paradigm that exploits the relative strengths of both centroid and maximum likelihood as complementary estimation procedures along an integrated exploratory‐confirmatory continuum of model specification, revision, and formal evaluation.     

Longitudinal confirmatory factor analysis: Common,time‐specific,item‐specific,and residual‐error components of variance

Following Cronbach (1970) and others, it is useful to decompose test score variation into common factor, time‐specific, item‐specific, and residual components. In the traditional approach to factor analysis, only two sources of variance can be estimated: common factor variance and a uniqueness term that confounds specific sources of variation and residual error. When the same items are measured on different occasions, however, it is possible to separate specific variance and residual error. Two approaches, the first‐order approach described by Raffalovich and Bohrnstedt (1987) and a second‐order approach based on Jöreskog and Sörbom (1989; Jöreskog, 1974) are considered initially. The two approaches, although based on different rationales, both suffer a similar weakness in that two of the four sources of variance are confounded. In the Raffalovich and Bohrnstedt approach, time‐specific variance is confounded with common factor variance that generalizes across items and time. In the second‐order approach based on Jöreskog and Sörbom, time‐specific variance is confounded with residual error. Here we demonstrate that by combining features from both approaches we can eliminate these weaknesses and estimate all four of Cronbach's sources of variance, and that this combined approach is easily generalized to a wide variety of applications.