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Increasing the number of transfers and graduates in engineering who start at community colleges (CC) requires strategic partnering between institutions. Reflecting on the results of a five-year partnership between a large, multi-location CC and a large four-year university, we present the goals, conceptual framework, specific results, and best practices for developing and sustaining STEM partnerships to increase the number of transfers and graduates in engineering. There were four foundational practices to this partnership: (1) inter-institutional collaboration, (2) creating a CC engineering orientation course, (3) developing an engineering admissions partnership program for CC students, and (4) data collection and analysis for informed decision making. The specific foundational practices described in this paper are part of a larger effort to increase the persistence of CC transfers in engineering by creating or enhancing a transfer-friendly environment, a community of practice through partnerships, greater awareness about engineering and engineering careers, student-faculty interaction, and new datasets for research and evaluation. Results of the partnership include a notable increase in the number of pre-engineering students, the number of students participating in the engineering admissions partnership program, the number of students transferring to the university, the number of transfer students participating in a learning community, and an increase in first-year retention rates of CC transfer students in engineering.

The computer is part of the information and communication age, and the Internet today is the most used communication tool. Studies have shown that there is a relationship between problematic Internet use and loneliness. The aim of this study was to investigate the relationship between problematic Internet use sub-scales and loneliness. In this study, data were collected from the college students at an Anatolian University in Turkey. The participants of this study consisted of 392 undergraduates. Of the participants, 43% are male (n = 167) and 57% female (n = 225). The average age for the participants is 22 years old. The Problematic Internet Use Scale and the University of California, Los Angeles (UCLA) Loneliness Scale were used as data collection instruments. In the present study, structural equation modeling (SEM) procedures are used to explore the relationships that exist among the variables. The findings of the study revealed that while university students' social benefit/social comfort of Internet has a direct effect on their excessive Internet use and negative consequences, it is related to the loneliness level indirectly. In addition, it is seen in the research model that with an increase in the negative consequences of the Internet, the loneliness level was raised. Another result from the study is that when university students' excessive Internet use increased, their loneliness level decreased.

This study uses a unique synthesized set of data for community college students transferring to engineering by combining several cohorts of longitudinal data along with transcript-level data, from both the Community College and the University, to measure success rates in engineering. The success rates are calculated by developing Kaplan-Meier survival curves measuring retention in engineering over time by grades received in Calculus and Physics courses at both institutions. For each course, survival curves are compared to determine if statistically significant differences exist between levels of grades received. The levels of course grades at which statistically significant differences in retention rates exist are documented. To validate these findings the actual graduation rates in engineering for the same groups of students are estimated using grades received in Calculus and Physics. Policy recommendations based on these findings, including the best time to transfer for this group of community college students, are incorporated.

The main purpose of the current study was to develop a 50-item personality scale in Turkish and Spanish based on Big Five Model of Personality and to assess its construct validity and reliability. We also compared the personality of pre-service teachers enrolled in the department of elementary education in Turkey and Spain. The participants were 555 pre-service teachers enrolled in elementary education programs at a Turkish university (280) and at a Spanish university (275). Results of confirmatory factor analysis supported the construct validity of the scale in both samples. However, 10 items had low factor loadings in their respective dimensions. Thus, they were removed from the scale. Findings regarding the comparison of Turkish and Spanish pre-service teachers revealed that they share similar personality traits; however, significant personality differences between Turkish and Spanish pre-service elementary school teachers emerged. Results of "t" tests on each dimension of personality revealed that the Turkish pre-service teachers' Openness and Neuroticism scores were statistically higher than the Spanish pre-service teachers. On the other hand, the Spanish pre-service teachers' Conscientiousness score was found to be statistically higher than that of the Turkish pre-service teachers.

This chapter puts forth a model of student-success-focused policy development at small colleges that elucidates the role of the institutional research (IR) professional, highlighting how the breadth of roles and responsibilities that IR professionals serve at these institutions intersect with traditional training and background.

This study investigated the role of a new paradigm in teaching large introductory, fundamental engineering mechanics (IFEM) courses that combined student-centered learning pedagogies and supplemental learning resources. Demographic characteristics in this study included a total of 405 students, of whom 347 (85.7%) are males and 58 are (14.3%) females. The students' majors included aerospace engineering, agricultural engineering, civil engineering, construction engineering, industrial engineering, materials engineering, and mechanical engineering. Results of this study, as tested using an independent samples t-test, validated using a nonparametric independent samples test, and a general linear multivariate model analysis, indicated overwhelmingly that there is a difference between a class taught passively using the teacher-centered pedagogy and a class taught actively using student-centered pedagogy. The principal focus of this work was to determine if the new paradigm was successful in improving student understanding of the course concepts in statics of engineering using student-centered pedagogies in large classes. After evaluating the effects of several variables on students' academic success, the results may provide important information for both faculty members and researchers and present a convincing argument to faculty members interested in academic reform but hesitant to abandon conventional teaching practices. By promoting a new paradigm, the potential for improving understanding of engineering fundamentals on a larger scale may be realized.

In the past ten years, engineering classrooms have seen an exponential growth in the use of technology, more than during any other previous decade. Unprecedented advancements, such as the advent of innovative gadgets and fundamental instructional alterations in engineering classrooms, have introduced changes in both teaching and learning. Student learning in introductory, fundamental engineering mechanics (IFEM) courses, such as statics of engineering, mechanics of materials, dynamics, and mechanics of fluids, as in any other class, is influenced by the experiences students go through in the classroom. Thus, bold new methodologies that connect science to life using student-centered approaches and scaffolding pedagogies need to be emphasized more in the learning process. This study is aimed to gain insight into the role of student-centered teaching, particularly the implementation of scaffolding pedagogies into IFEM courses. This study also attempts to contribute to the current national conversation in engineering education of the need to change its landscape--from passive learning to active learning. Demographic characteristics in this study included a total of 3,592 students, of whom 3,160 (88.0%) are males and 432 (12.0%) are females, over a period of six years, from 2007 to 2013. The students' majors included aerospace engineering, agricultural engineering, civil engineering, construction engineering, industrial engineering, materials engineering, and mechanical engineering. Results of the study, as tested using a general linear univariate model analysis, indicated that overwhelmingly the type of class in statics of engineering is a significant predictor of student "downstream" performance in tests measuring their knowledge of mechanics of materials. There is a statistically significant difference in students' performance in mechanics of materials depending on whether they were taught passively using the teacher-centered pedagogy or taught actively using the student-centered pedagogy in statics of engineering. Mechanics of materials is commonly the next immediate course, or a downstream course, following statics of engineering. [Cover title varies: "Scaffolding in Introductory Engineering Courses."]

The main purpose of the current study was to examine the utility and usefulness of Holland's Theory of Personalities in Work Environments to understand the match between personality and the desire for music education. The participants included 99 pre-service music teachers in Turkey. The findings revealed that the pre-service music teachers were, foremost, artistic. To a lesser degree, they were social and conventional. In addition, significant relationships existed between personality types and satisfaction with studying in the department of music education. Based on these findings, it seems that Holland's Theory provides a useful framework for understanding music pre-service teachers' satisfaction with studying music education. Future researchers may use this theory with practicing music teachers to examine its explanatory and predictive power in the workplace.

The study explored the influence of work experience on adult part-time students' academic success as defined by their cumulative grade point average. The sample consisted of 614 part-time students from four polytechnic institutions in Malaysia. The study identified six factors to measure the perceived influence of work experiences--positive belief, negative belief, intrinsic motivation, learning orientation, deep learning approach, and surface learning approach. The results indicated that lower academic success was associated with higher negative belief, lower intrinsic motivation and adopting surface learning approach. Students with a deeper learning approach, greater intrinsic motivation, and greater learning orientation tended to perceive higher positive belief. In contrast, students who favored surface learning approaches were more likely to perceive negatively the impact of work experiences on their academic learning. The best-fitted path model demonstrated students' academic success was affected negatively by negative belief and weakly by intrinsic motivation. Other factors did not have significant direct effects on students' academic success. These findings suggest that the success of adult part-time students does not rely on their positive attitude alone, but also could depend on the effectiveness of the classroom environment, teaching and learning strategies, and assessment methods.

A central challenge for higher education today is to understand the diversity and complexity of nontraditional students' life experiences and how these factors influence their academic success. To better understand these issues, this study explored the role of demographic characteristics and employment variables in predicting the academic success of part-time students at four polytechnic institutes in Malaysia. Demographic characteristics studied included respondent's age, gender, marital status, number of children, parent's educational level, and financial resources. Employment variables assessed were number of years working, job relatedness to the program, job satisfaction, and monthly salary. A total of 614 part-time students completed the survey. Results indicated that being an older student, being female, paying for their own education, and having high job satisfaction were statistically significant predictors of part-time students' academic success. Understanding the effects of demographic characteristics and employment variables on students' academic success might help administrators and educators to develop teaching and learning processes, support services, and policies to enhance part-time students' academic success.

In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, & Warshaw, 1989) and literature: computer knowledge, flexibility of distance education, usefulness of distance education, and distance education satisfaction. Results suggest that as long as students have the skills to use online tools and perceive that distance education is a useful and flexible way of learning, communicating, and sharing, their enjoyment from online instruction will be promoted. Ultimately, this satisfaction may lead to higher levels of engagement, learning, and success in the distance education setting. Data collected from 195 undergraduate students are analyzed using Statistical Package for the Social Sciences and Analysis of Moment Structures statistical software. Implications of the findings of the present study are crucial for instructors, practitioners, and institutions planning to offer or currently engaged in offering distance education courses. (Contains 1 figure and 1 table.)

The Department of Mathematics at Iowa State University teaches a freshman-level Discrete Mathematics course with total enrollment of about 1,800 students per year. The traditional format includes large lectures, with about 150 students each, taught by faculty and temporary instructors in two class sessions per week and recitation sections, with about 35 students each, taught once per week by a teaching assistant. In this format, the course experienced the standard academic problems associated with the multi-section large lecture format: over 30% D/F/Withdraw rates; lack of uniformity and inconsistency in course objectives, delivery, and testing; low student morale and performance; and insufficient individualized feedback from instructors. In addition, students failed to see the connection of the material to subsequent courses and real world problems; spent great effort on repetitive calculations and little or none on computing; lacked skills in analyzing problems, data presentation, and graphical analysis; and often had substantial gaps in basic algebra skills that were not addressed properly by course content. Discrete Mathematics was redesigned to address these challenges with a Web-based, self-paced model. The Web-based environment integrates WebCT as learning management software, MapleTA as an online testing program, and textbook and related materials by Barnett, Ziegler, and Byleen (Prentice-Hall) as the content basis. The redesigned course includes weekly small recitation sections, additional office hours, availability of the Math Help Room, and peer-mentoring through study groups and Supplemental Instruction. Integrated and proactive student support includes Web-based feedback through online office hours, a Web-bulletin board for each class, and Web-published individual current scores and class standing. The redesigned course syllabus is divided into manageable modules, with clearly communicated learning outcomes and objectives. Expansion of learning and understanding through the application of technology are achieved through incorporating Microsoft EXCEL spreadsheets for instantaneous graphics and simplification of extensive repetitive calculations. The Web environment also includes a new fourth main course topic of basic algebra skills early in the material as preparation for the other sections. Assessment of the course redesign was performed by the Research Institute for Studies in Education (RISE), in the College of Education, at Iowa State University. The general assessment strategy included a pretest-posttest control group design and long-term study of academic success. Student performance data were used to determine which differences in learning outcomes may be attributable to specific course components. Students in the Web-based sections performed no worse, and usually performed better, than did classroom-based students. These results are based on student performance on learning outcomes in Fall 2002, Spring 2003, and Fall 2003. In a straight comparison, the design sections did significantly better than the control sections on eleven out of thirteen exams compared, with comparable results on the remaining two exams. This difference exists despite significantly higher cumulative GPAs for students in the control sections for two semesters and insignificant differences in the third semester. This suggests that the Web-based course design is able to enhance the performance, and hence the chances for retention, of even less-highly achieving students (as determined by their lower GPAs). A longer-term study of academic success has tracked students through subsequent courses for which Discrete Mathematics is a prerequisite. These results are also positive, though less conclusive. The traditional course used 12 faculty and 15 teaching assistants to deliver the course at a cost of $129 per student. The redesigned course is staffed with 3 faculty and 9 teaching assistants. The redesign costs $77 per student, resulting in savings of $93,600 per year.

The extent to which community colleges in 10 Midwest states relied on 12 current funds revenue sources between 1990 and 2000 is presented in this study. Four models of funding were identified and evaluated. All models generated revenue in excess of the change in the Higher Education Price Index (HEPI), a measure of inflation over the period studied. Implications for practice are discussed.