scholarly journals Investigating Why Academically Successful Community College Students Leave College Without a Degree

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842110657
Author(s):  
Justin C. Ortagus ◽  
Benjamin T. Skinner ◽  
Melvin J. Tanner

Even though a postsecondary degree can offer economic, social, and civic benefits, many community college students leave without earning a degree—including some who have performed well academically and made substantial progress toward graduation. To better understand the factors contributing to early exit, we surveyed a number of former students in a large community college system. We improve the generalizability of the survey responses through multilevel regression with poststratification, which we use to reweight the responses to better represent the population in our original survey frame. We find that tuition and fees, living expenses, and no longer being eligible for financial aid are the factors contributing to early exit for the largest share of students. We also find variation in both financial and nonfinancial factors across subgroups, suggesting that targeted supports may be useful in helping students persist or return to college and complete their degree.

Author(s):  
Angela Boatman ◽  
Brent J. Evans

Many students are averse to taking out loans to pay for education—a phenomenon that is commonly discussed but rarely systematically analyzed. This study explores the relationship between student loan aversion and individual financial characteristics. In this analysis, we rely on a unique dataset of survey responses from more than 5,000 high school seniors, community college students who did and did not borrow for higher education, and adults without a college degree. Regression analyses, using a robust set of controls and institutional fixed effects, show that higher financial literacy and higher knowledge of federal student loans are related to lower loan aversion for education. The magnitude of these effects is large, as much as a 30 to 50 percent reduction in loan aversion in some samples. There is also evidence that prior experience with payday lending is related to increased loan aversion for community college students who did not borrow for college.


Author(s):  
Liza N. Meredith ◽  
Patricia A. Frazier ◽  
Jacob A. Paulsen ◽  
Christiaan S. Greer ◽  
Kelli G. Howard ◽  
...  

2020 ◽  
Vol 8 (1) ◽  
pp. 4-17
Author(s):  
Nor Akmal Mohamad ◽  
Madihah Khalid

Building information modelling (BIM) is one of the new technologies being used in architectural and constructions projects. At present, BIM curricula are being taught in many Malaysian higher learning institutions, including at the certificate level in community colleges. Even though many studies have investigated behavioural intention to adopt BIM in the industrial setting, studies on the intention to use BIM among students during their training or learning have not received the same level of attention. This study, therefore, investigated the extent to which community college students are willing to accept and use BIM. Factors that influenced their behavioural intention to use BIM, as well as the relationship between the factors and intention to use were also examined. The Technology Acceptance Model (TAM) was used as the theoretical framework to guide the research, where students’ behavioural intention to use BIM was explained through their perceptions of its usefulness and ease of use, as well as their attitude towards BIM utilization in the classroom. A total of 144 community college students enrolled in the architecture programmes in Malaysia were selected as the sample using convenience sampling. The findings show that the students’ behavioural intention to adopt BIM is high. They also perceive BIM as useful and easy to use, and their attitude towards BIM usage appears to be positive. The regression model produced an adjusted R-squared value of 0.790 indicating that 79% of the total variance in the students’ intention to use BIM can be explained by the three independent variables, i.e., perceived usefulness, ease of use, and attitude. Keywords: Building information modelling, perceived usefulness, perceived ease of use, attitude, intention to use, behavioural intention, Technology Acceptance Model


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