Strategies for Increasing Enrollment, Retention, and Graduation in Two Baccalaureate Degree STEM Programs: Mechanical Engineering Technology (MET) and Safety Management (SM)

Shahhosseini, A. Mehran; Moayed, Farman A.; McLeod, Alister

doi:10.18260/1-2--35209

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…Similarly, Fletcher and Anderson-Rowland (2000) also considered strategies related to mentoring and advisement to improve the performance of a group of sixteen engineering students and achieved amazing results, including an increase of 79% on the cumulative GPA of these students, indicating feasible ways to solve the retention problem, which were also extensively investigated over the years (Chelberg & Bosman, 2019;Desai & Stefanek, 2017;Hartman et al, 2019;Lisberg & Woods, 2018;Shahhosseini et al, 2020;Stromei, 2000).…”

Section: The Engineering Retention Problemmentioning

confidence: 99%

Supervised Learning Applied to Graduation Forecast of Industrial Engineering Students

Gil¹,

Albuquerque²,

de³

2021

EUROPEAN J ED RES

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<p style="text-align: justify;">The article aims to develop a machine-learning algorithm that can predict student’s graduation in the Industrial Engineering course at the Federal University of Amazonas based on their performance data. The methodology makes use of an information package of 364 students with an admission period between 2007 and 2019, considering characteristics that can affect directly or indirectly in the graduation of each one, being: type of high school, number of semesters taken, grade-point average, lockouts, dropouts and course terminations. The data treatment considered the manual removal of several characteristics that did not add value to the output of the algorithm, resulting in a package composed of 2184 instances. Thus, the logistic regression, MLP and XGBoost models developed and compared could predict a binary output of graduation or non-graduation to each student using 30% of the dataset to test and 70% to train, so that was possible to identify a relationship between the six attributes explored and achieve, with the best model, 94.15% of accuracy on its predictions.</p>

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Section: The Engineering Retention Problemmentioning

confidence: 99%

Supervised Learning Applied to Graduation Forecast of Industrial Engineering Students

Gil¹,

Albuquerque²,

de³

2021

EUROPEAN J ED RES

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show abstract

“…Since workers want to leave for higher wages, they are also thinking of getting additional certifications or two-year college degrees. This is where quality education and affordability come into play (Shahhosseini et al, 2020). Employers like Macy's, Chipotle, Walmart, etc.…”

Section: Worker's Shortagementioning

confidence: 99%

Effect of Rising Cost and Worker Shortage on Industry

Proceedings of the International Conference on Industrial Engineering and Operations Management

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COVID-19 pandemic has affected technology, manufacturing, healthcare, education, tourism, and other service industry globally as well as in the US. The pandemic has caused supply chain disruption, chip shortage, worker shortage, etc. Nowadays chips aren't used in computers and smartphones only, but in automotive and various other products. In response to the pandemic, the US government has issued stimulus packages to help workers, employers, and economy. All this has resulted in an increase in inflation and cost. Workers are retiring or changing jobs for higher wages which has created another issue, i.e. workers with tribal knowledge are leaving the industry they used to work with. Now industry not only needs to hire replacements but also train them for right qualifications in order to keep up with productivity. On the positive side, the US government is investing in chip manufacturing in the US which goes in line with the Made in America effort, making policies to help global supply chain to reduce backlogs, and pushing for vaccine mandate. As a result, manufacturing, tourism, and service industries are returning gradually to the prepandemic level.

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Factors influencing students’ intention to enroll in Bachelor of Science in Biology: A structural equation modelling approach

Cortes,

Agero,

Agravante

et al. 2023

Cogent Education

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Strategies for Increasing Enrollment, Retention, and Graduation in Two Baccalaureate Degree STEM Programs: Mechanical Engineering Technology (MET) and Safety Management (SM)

Cited by 4 publications

References 1 publication

Supervised Learning Applied to Graduation Forecast of Industrial Engineering Students

Supervised Learning Applied to Graduation Forecast of Industrial Engineering Students

Effect of Rising Cost and Worker Shortage on Industry

Factors influencing students’ intention to enroll in Bachelor of Science in Biology: A structural equation modelling approach

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