This study identified the relationships of student engagement with senior student satisfaction and perceived employability skills from STEM fields in the U.S. A comparison of the relationships of student engagement, student satisfaction, and perceived employability skills was made across senior Asian international students and their American peers in STEM programs. The National Study of Student Engagement (NSSE) data (2011) was used in this study. Structural equation modeling analyses and invariance tests were employed to estimate different models of student engagement, student satisfaction, and perceived employability skills across different samples. The results found that both sense of support and relationships with others of emotional engagement were found the most important constructs to predict college student satisfaction and perceived employability skills. The cognitive engagement had a significant positive effect on student perceived employability skills across all college students, Asian international students, and American students in STEM education. Moreover, this study identified the mediator role of student perceived employability skills on the relationship between student engagement and student satisfaction for all three samples. Additionally, Asian international students differed from American students regarding academic involvement, participating in extracurricular activities, and sense of support in STEM education. Last but not least, this study supported that the three-dimension student engagement model developed by Fredricks et al. (2004) could apply to U.S. college students. Practical and theoretical implications were discussed and limitations acknowledged. / Doctor of Philosophy / It is widely accepted that attracting STEM talents to the U.S. is a key element to maintain the United States' economic supremacy and competitive advantage in a global economy. Asian international students play a significant role to maintain a steady supply of STEM talent pipelines in the U.S. job market. The purpose of this study is to understand the relationships of student engagement with senior student satisfaction and perceived employability skills from STEM fields in the U.S. This study This study was also to identify the relationships of student engagement, student satisfaction, and perceived employability skills across senior Asian international students and their American peers in STEM programs. The results found that both sense of support and relationships with others of emotional engagement were the most important factors to predict college student satisfaction and perceived employability skills. Cognitive engagement had a significant positive influence on student perceived employability skills across all college students, Asian international students, and American students in STEM education. Moreover, this study identified the mediator role of student perceived employability skills on the relationship between student engagement and student satisfaction. Additionally, Asian international students differed from American students regarding academic involvement, participating in extracurricular activities, and sense of support in STEM education. Last but not least, this study supported that the three-dimension student engagement model could apply to U.S. college students. Practical and theoretical implications were discussed and limitations acknowledged.

An increasing number of first-generation college students enroll in college each year. However, according to national statistics, as many as 900,000 first-generation college students drop out each year. Colleges have developed summer bridge programs to help first-generation students succeed; participants have shown an increase in grade point average (GPA) and retention. There is limited research focusing specifically on private nonprofit university bridge programs, and national statistics show 34% of first-generation college students electing private universities. Thus, the purpose of this quantitative cross-sectional study was to evaluate a private nonprofit university bridge program called the Pfeiffer Readiness Education Program. Using the Seidman retention model as a theoretical framework, this study investigated student satisfaction, retention, GPA, and credits earned versus attempted for first-generation participants in an early intervention program. To determine statistical significance between groups of first-generation participants (n = 39) and first-generation nonparticipants (n = 35), t test is used. The early intervention program demonstrated statistical significance (p < .05) between participants and nonparticipants in student satisfaction, retention from Fall 2016 to Spring 2017, retention from Fall 2016 to Fall 2017, GPA in Fall 2016, GPA from Fall 2016 to Fall 2017, and credits earned versus attempted ratio for Fall 2016 to Fall 2017. This study may provide staff of similar institutions with understanding of the importance of early intervention programs for first-generation college students. Programs to retain and graduate first-generation college students could promote positive social change.

A cooperative small group facilitated case-based learning method has been used in the medical college at the researchers educational institution since the 2003-2004 academic year. They were designed to be a supplement to a primarily lecture-based curriculum where it was believed that these cooperative cases helped students to develop a better understanding of the material taught in the lectures, although no rigorous investigations had been completed. The purpose of this study was to investigate the impact of these cooperative facilitated small group cases on five specific outcomes which included: 1) achievement, 2) knowledge confidence, 3) student satisfaction, 4) students perceived time on task, and 5) the students perceptions of the degree to which they believed a facilitator helped them to learn the material. These outcomes for cooperative learning (CL) were compared with individual learning (IL) outcomes. Quantitative data on student achievement and knowledge confidence were collected using a pre-test post-test 10 multiple choice question quiz. A brief questionnaire was also distributed to students to collect data regarding student satisfaction, time on task and perceived helpfulness of the facilitator.<p>Fifty-nine medical students were randomly assigned to either the CL or IL cohort (cooperative cohort, n = 32; individual cohort, n = 27). All students were blinded to the purpose of the study until all data were collected at the end of the investigation. Students completed the 10 multiple choice question pre-test. After each question they rated their level of confidence (on a scale from 1 to 10) that they had chosen the correct answer. Immediately after completion of the pre-test, they worked on the case, either cooperatively or individually. One week after the pre-test and case, the students completed the post-test quiz with the same questions, as well as the questionnaire.<p>A repeated-measures MANOVA was used to compare achievement and confidence in the CL (n =19) and IL (n =13) cohorts. An alpha level of .05 was used for all statistical tests. Effect sizes (d) were calculated for within-group and between-groups comparisons for achievement and confidence. Descriptive data on student satisfaction, time on task and facilitator helpfulness were gathered from the questionnaire and compared between groups.<p> Within-group results from the study showed that CL had a greater impact on student achievement and confidence than IL (achievement, d = 0.57 vs. 0.16; confidence, d = 0.52 vs. 0.14). The results for the statistical analysis did not reach significance for achievement or confidence. Between-groups effect sizes were calculated for average pre- to post-test change for achievement and confidence (achievement, d = 0.35; confidence, 0.40). Students in the CL cohort reported spending more time on task before and during the case session and less after the session. They also reported greater levels of satisfaction with the learning experience than IL group. The majority of students (90.5%) in the CL cohort felt that the facilitator helped them to learn.<p>The findings from this study showed that this CL method had a greater impact on the five outcomes outlined above compared to the IL method. Students made greater gains in achievement and confidence. They also spent more time on task, and had higher levels of satisfaction with the learning experience. Students in the CL cohort also believed that the facilitator helped them to learn. Implications of the study include possible expanded use of the cases within the curriculum of this medical college although the demands of resources and curriculum content would have to be carefully considered.

A cooperative small group facilitated case-based learning method has been used in the medical college at the researchers educational institution since the 2003-2004 academic year. They were designed to be a supplement to a primarily lecture-based curriculum where it was believed that these cooperative cases helped students to develop a better understanding of the material taught in the lectures, although no rigorous investigations had been completed. The purpose of this study was to investigate the impact of these cooperative facilitated small group cases on five specific outcomes which included: 1) achievement, 2) knowledge confidence, 3) student satisfaction, 4) students perceived time on task, and 5) the students perceptions of the degree to which they believed a facilitator helped them to learn the material. These outcomes for cooperative learning (CL) were compared with individual learning (IL) outcomes. Quantitative data on student achievement and knowledge confidence were collected using a pre-test post-test 10 multiple choice question quiz. A brief questionnaire was also distributed to students to collect data regarding student satisfaction, time on task and perceived helpfulness of the facilitator.<p>Fifty-nine medical students were randomly assigned to either the CL or IL cohort (cooperative cohort, n = 32; individual cohort, n = 27). All students were blinded to the purpose of the study until all data were collected at the end of the investigation. Students completed the 10 multiple choice question pre-test. After each question they rated their level of confidence (on a scale from 1 to 10) that they had chosen the correct answer. Immediately after completion of the pre-test, they worked on the case, either cooperatively or individually. One week after the pre-test and case, the students completed the post-test quiz with the same questions, as well as the questionnaire.<p>A repeated-measures MANOVA was used to compare achievement and confidence in the CL (n =19) and IL (n =13) cohorts. An alpha level of .05 was used for all statistical tests. Effect sizes (d) were calculated for within-group and between-groups comparisons for achievement and confidence. Descriptive data on student satisfaction, time on task and facilitator helpfulness were gathered from the questionnaire and compared between groups.<p> Within-group results from the study showed that CL had a greater impact on student achievement and confidence than IL (achievement, d = 0.57 vs. 0.16; confidence, d = 0.52 vs. 0.14). The results for the statistical analysis did not reach significance for achievement or confidence. Between-groups effect sizes were calculated for average pre- to post-test change for achievement and confidence (achievement, d = 0.35; confidence, 0.40). Students in the CL cohort reported spending more time on task before and during the case session and less after the session. They also reported greater levels of satisfaction with the learning experience than IL group. The majority of students (90.5%) in the CL cohort felt that the facilitator helped them to learn.<p>The findings from this study showed that this CL method had a greater impact on the five outcomes outlined above compared to the IL method. Students made greater gains in achievement and confidence. They also spent more time on task, and had higher levels of satisfaction with the learning experience. Students in the CL cohort also believed that the facilitator helped them to learn. Implications of the study include possible expanded use of the cases within the curriculum of this medical college although the demands of resources and curriculum content would have to be carefully considered.

College student satisfaction is a concept that has become more prevalent in higher education research journals. Little attention has been given to the psychometric properties of previous instrumentation, and few studies have investigated the structure of current satisfaction instrumentation. This dissertation: (a) investigated the tenability of the theoretical dimensional structure of the Noel-Levitz Student Satisfaction Inventory™ (SSI), (b) investigated an alternative factor structure using explanatory factor analyses (EFA), and (c) used multiple-group CFA procedures to determine whether an alternative SSI factor structure would be invariant for three demographic variables: gender (men/women), race/ethnicity (Caucasian/Other), and undergraduate classification level (lower level/upper level). For this study, there was little evidence for the multidimensional structure of the SSI. A single factor, termed General Satisfaction with College, was the lone unidimensional construct that emerged from the iterative CFA and EFA procedures. A revised 20-item model was developed, and a series of multigroup CFAs were used to detect measurement invariance for three variables: student gender, race/ethnicity, and class level. No measurement invariance was noted for the revised 20-item model. Results for the invariance tests indicated equivalence across the comparison groups for (a) the number of factors, (b) the pattern of indicator-factor loadings, (c) the factor loadings, and (d) the item error variances. Because little attention has been given to the psychometric properties of the satisfaction instrumentation, it is recommended that further research continue on the SSI and any additional instrumentation developed to measure student satisfaction. It is possible that invariance issues may explain a portion of the inconsistent findings noted in the review of literature. Although measurement analyses are a time-consuming process, they are essential for understanding the psychometrics characterized by a set of scores obtained from a survey, or any other form of assessment instrument.

Online learning research is largely devoted to comparisons of the learning gains between face-to-face and distance students. While student learning is important, comparatively little is known about student satisfaction when engaged in online learning and what contributes to or promotes student satisfaction. Emerging research suggests there are a few strong predictors of student satisfaction, and other predictors that may or may not predict student satisfaction. None of the existing research examines predictors together, or statistically controls for course differences. This study examines the influence of various factors on student satisfaction including three types of interaction, Internet self-efficacy, and self-regulated learning. Participants (N = 180) include both undergraduate and graduate students attending exclusively online classes in education. Students responded to an online survey adapted from several different scales. A pilot test of the survey and procedures showed strong validity and reliability for the sample. To control for course differences, data analysis focused on a hierarchical linear model (HLM) with student and class level variables. Results indicate learner-instructor interaction and learner-content interaction are significant predictors of student satisfaction when class-level variables are excluded. Of the class-level predictors, only the program from which the course was offered moderates the effect of learner-content interaction on student satisfaction. There is no direct impact of class-level predictors on student satisfaction. Learner-content interaction is the sole significant predictor when class-level predictors are added to the model. Supporting analyses for the HLM, results, limitations, and significance of the findings are reported and discussed.