Stevens Institute of Technology’s Post

Engineering students heard from Professor Helen Bao from the University of Cambridge about progressing on to further study and postgraduate study at the University. Professor Bao covered the following topics: Application Process, Qualifications and Entry Requirements, Assessment Methods, Length of Research Courses, Funding Options, Financial Considerations, Taught vs. Research Degrees, Supervision System and Course Fees. #WeAreCRC #Engineering 

MATERIAL ROCKS! The QS ranking is out and among subjects Material Science at KTH Royal Institute of Technology – to our pride and joy – is ranked 25 among universities in the world. "This is very good news and I see it as a result of the hard work that all of the employees at the Department of Material Science and Engineering put into both research and teaching," says Joakim Odqvist, head of department. Check out the QS ranking 2024: https://lnkd.in/eCeusDeQ #materialsscience

#NYUTandon and Columbia Engineering have joined forces to create the Columbia-NYU Financial Engineering Colloquium 🤝 🤝 🤝 This colloquium is a joint initiative between Finance and Risk Engineering (FRE) at Tandon and Industrial Engineering and Operations Research (IEOR) at Columbia, two highly regarded academic departments engaged in applying mathematical models to complex sectors with real-world importance. Although it’s still early in the process — the next seminar is scheduled to take place on March 20 — organizers hope that the joint colloquium will increase the critical mass of attendees, lead to greater international visibility, and introduce a growing cohort of financial professionals to the most current research and cutting-edge techniques. “Columbia Engineering and New York University are addressing some of the world’s most challenging industry issues,” Touzi Nizar says, Department Chair of Finance & Risk Engineering, “and we want as many people as possible to have the benefits of our findings.” Click the link to learn more about this partnership. #NYUTandonMade https://buff.ly/3wDWAMi

This is truly impressive work with brutal intellectual honesty. The nuances reflected in these data collected from a very large sample size over time explains so much. While much of prior work that influenced the GRExit movement, especially in the life sciences, appeared to be quite convincing, those studies for the most part came from small and highly selected samples- not in the least by virtue of mostly high scorers who gained entrance to highly selective institutions. In other words, many of those studies examined dynamics within a slice of a pie with varying concentrations of filling, and generalized it to the entire pie. This study considered the entire pie over 4 quartiles, looking at persistence after 4 years. Most notably, this paper showed nuanced accuracy of predicted persistence varied by the section of the GRE (verbal, quantitative etc), and program discipline. Another flaw in many of the studies used as the basis for GRExit was the implicit assumption of graduate school attrition being due primarily to academic performance, when in fact the data would suggest that the leading causes being more life and lifestyle disruption. Even worse, when there is a dearth of low GRE scores represented in the samples, how can you fully assess the impact of GRE scores on outcomes. Verbal GRE scores appear to be highly predictive of outcomes, as seen in the image in Alberto Acereda's post. At the same time though, quantitative GRE scores actually appear to be much less predictive and even suggest the reverse. While the authors explain that this could be because high scorers in the qualitative section are more likely to drop out early, say with a masters degree, based on their analysis of return on investment, it still shows that the quantitative section is really a poor predictor of retention. Most unfortunately, it is this same quantitative section that is least predictable, that is emphasized by STEM related programs. Then there is the issue of race. Underrepresented students appear to do worse in the areas that are most emphasized but least predictable. This lays the fault as much with the implicitly biased admissions committees that are influenced most by what is least important, as it does with the GRE. However it is much easier to point to the GRE and say get rid of it, as biases persist and any form of hope for normalization in the process is discarded. My prediction is that as the initial jumps in underrepresented students in some doctoral programs seen with GRExit are erased, things will get worse. The few underrepresented students SELECTED will have either paid the 1-2 year post bac PREP tax, or would have benefited from undergraduate study at pedigreed institutions or labs. In essence, policies continue to be made for the "greater goo but as usual, come at the expense of those most marginalized. #stemeducation #gre #doctoraldegree #lifesciences #graduateschool #graduatestudents

This is the value of higher education.

Here is the latest scholarly article on GRE with a sample of 1,672 graduate programs containing 157,924 students that shows how the GRE-Verbal and GRE-Analytical Writing scores, but not UGPA, predict PhD persistence, especially in business, engineering, and the physical sciences.

A recent National Academy of Engineering publication explores how supporting fundamental engineering and engineering education research by the National Science Foundation (NSF) has led to positive societal and economic impacts. Read here: https://ow.ly/CyTA50QlAyR #ExtraordinaryEngineering

As part of our 60 seconds of research series, we’re sharing the work of Professor Peter Kyberd, Head of the School of Engineering at the University of Derby. Learn more about his research.👇 https://ow.ly/5GVO50PmAXQ #Engineering #Research #ArtificialHands