A Longitudinal Model of Career Search Efficacy in Engineering Students

2021 ◽  
Vol 99 (4) ◽  
pp. 396-405
Author(s):  
Autumn L. Cabell ◽  
Philip Gnilka
1983 ◽  
Vol 15 (4) ◽  
pp. 267-273 ◽  
Author(s):  
Ronald G. Taylor ◽  
Robert D. Whetstone
Keyword(s):  

1976 ◽  
Vol 8 (4) ◽  
pp. 245-251 ◽  
Author(s):  
Earl Nolting ◽  
Ronald G. Taylor

Author(s):  
Lisa Y. Flores ◽  
Rachel L. Navarro ◽  
Hang-Shim Lee ◽  
Laura Luna

Author(s):  
A. A. Nedbaylov

The calculations required in project activities for engineering students are commonly performed in electronic spreadsheets. Practice has shown that utilizing those calculations could prove to be quite difficult for students of other fields. One of the causes for such situation (as well as partly for problems observed during Java and C programming languages courses) lies in the lack of a streamlined distribution structure for both the source data and the end results. A solution could be found in utilizing a shared approach for information structuring in spreadsheet and software environment, called “the Book Method”, which takes into account the engineering psychology issues regarding the user friendliness of working with electronic information. This method can be applied at different levels in academic institutions and at teacher training courses.


Author(s):  
Nusa FAIN ◽  
Michel ROD ◽  
Erik BOHEMIA

This paper explores the influence of teaching approaches on entrepreneurial mindset of commerce, design and engineering students across 3 universities. The research presented in this paper is an initial study within a larger project looking into building ‘entrepreneurial mindsets’ of students, and how this might be influenced by their disciplinary studies. The longitudinal survey will measure the entrepreneurial mindset of students at the start of a course and at the end. Three different approaches to teaching the courses were employed – lecture and case based, blended online and class based and fully project-based course. The entrepreneurial mindset growth was surprisingly strongest within the engineering cohort, but was closely followed by the commerce students, whereas the design students were slightly more conservative in their assessments. Future study will focus on establishing what other influencing factors beyond the teaching approaches may relate to the observed change.


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