scholarly journals Comparing First-year Student Attitudes towards Engineering across a Liberal Arts University

2020 ◽  
Author(s):  
Rick Olson ◽  
Truc Ngo ◽  
Susan Lord
2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Bothaina Al-Sheeb ◽  
Abdel Magid Hamouda ◽  
Galal M. Abdella

Purpose. A first-year student’s life is a web of interrelated academic and social experiences. Most universities have rigorous processes to achieve excellence or reach high-quality standards, with “Student Satisfaction” being the central focus of all of higher education aims for excellence. This study examined the influence of various academic, social, and environmental aspects on the overall satisfaction of first-year students. Design. A questionnaire was designed and administered to first-year students, and the resulting data were analyzed using correlation, linear regression, binary logistic regression, and artificial neural networks. Findings. The findings suggested that three of the five factors explored—100-level course satisfaction, a sense of belonging, and citizenship knowledge and skills—were the best determinants of the level of first-year student satisfaction. Originality. This study examined the influence of academic, social, and environmental factors on overall student satisfaction with the college experience. Many studies have focused on how factors such as student attitudes, perceptions, and academic and social engagements impact first-year student success and retention; however, few studies have attempted to explore the influence these factors have on student satisfaction and their overall perceptions of the college experience. Discussion and Conclusion. This study has provided a snapshot of some of the key determinants of the overall student satisfaction of the first-year experience. This study can assist college administrators and instructors in their quality assurance initiatives which may include reviewing the current system, setting college priorities, and planning and allocation of future resources to better achieve higher levels of student satisfaction.


Physiotherapy ◽  
2015 ◽  
Vol 101 ◽  
pp. e511-e512
Author(s):  
J. Hammond ◽  
R. Garrod ◽  
C. Baboonian ◽  
N. Lock ◽  
N. Rogers ◽  
...  

Author(s):  
Allison Smith Walker ◽  
Georgeanna Sellers

The infographic represents a combination of visual imagery and big data, and it can be implemented successfully as a teaching tool across multiple educational settings. The infographic is also, by definition, a multimodal genre. It incorporates visual and textual elements, statistical evidence, research, graphic design, and digital literacy for both the creation and distribution of an effective data visualization through 21st century mechanisms of social action and interaction. In the following chapter, the authors, two instructors at a small, private, liberal arts university in the suburban South, will present examples of infographic curricula from undergraduate courses in first-year writing and professional writing in the medical humanities and analyze the effectiveness of this approach on student learning, particularly in relation to the impact of infographic instruction on the skills of synthesis, public resonance, transfer and social action.


Curationis ◽  
2017 ◽  
Vol 40 (1) ◽  
Author(s):  
Katlego D.T. Mthimunye ◽  
Felicity M. Daniels

Background: The demand for highly qualified and skilled nurses is increasing in South Africa as well as around the world. Having a background in science can create a significant advantage for students wishing to enrol for an undergraduate nursing qualification because nursing as profession is grounded in scientific evidence.Aim: The aim of this study was to investigate the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Method: A quantitative research method using a cross-sectional predictive design was employed in this study. The participants included first year Bachelor of Nursing students enrolled at a university in the Western Cape, South Africa. Descriptive and inferential statistics were performed to analyse the data by using the IBM Statistical Package for Social Sciences versions 24. Descriptive analysis of all variables was performed as well as the Spearman’s rank correlation test to describe the relationship among the study variables. Standard multiple linear regressions analysis was performed to determine the predictive validity of grade 12 mathematics and science on the academic performance of first year student nurses in science modules.Results: The results of this study showed that grade 12 physical science is not a significant predictor (p > 0.062) of performance in first year science modules. The multiple linear regression revealed that grade 12 mathematics and life science grades explained 37.1% to 38.1% (R2 = 0.381 and adj R2 = 0.371) of the variation in the first year science grade distributions.Conclusion: Based on the results of the study it is evident that performance in grade 12 mathematics (β = 2.997) and life science (β = 3.175) subjects is a significant predictor (p < 0.001) of the performance in first year science modules for student nurses at the university identified for this study.


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