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- All Subjects: engineering
- Creators: Barrett, The Honors College
- Creators: Alford, Terry
Using a concept test given prior to the lecture unit, and after, the difference in scores is used to recognize if the concepts presented have actually been comprehended. Used specifically in a lecture unit on solubility and solutions, the concept test tested student’s knowledge of supersaturated, saturated, and unsaturated solutions. With a visual identification and a written explanation, the student’s ability to identify and explain the three solutions was tested.
In order to determine the cause of the change in score from pre- to post-test, an analysis of the change in scores and the effects of question type and solution type was conducted. The significant results are as follows:
The change in score from pre- to post-test was found to be significant, with the only difference between the two tests being the lecture unit and intervention
From pre- to post-test, solution type had a significant effect on the score, with the unsaturated solution being the most easily recognized and explained solution type
Students that felt that the YouTube videos greatly increased their concept comprehension, on average, performed better than their counterparts and also saw a greater increase their score from pre- to post-test
Obesity rates among adults have steadily grown in recent decades all the way up to 42.4% in 2018. This is a 12% increase from the turn of the century (Center for Disease Control and Prevention, 2021). A major reason for this rise is increased consumption of processed, high-calorie foods. People eat these foods at a young age and develop bad eating habits that can last for the rest of their lives. It is essential to intervene early and help adolescents form balanced, healthy eating habits before bad habits are already formed. Our solution to this problem is Green Gamers. Green Gamers combines adolescent’s passion for gaming with healthy eating via in-game rewards for healthy eating. People will be able to purchase healthy food items, such as a bag of carrots, and on the packaging there will be a QR code. They will then be able to scan the code on our website, and earn points which will unlock in-game items and other rewards. Video game rewards act as effective motivators for you people to eat more healthy foods. After the solution was formulated, a preliminary survey was conducted to confirm that video game related rewards would inspire children to eat more healthy foods. Based on those results, we are currently in the process of running a secondary market research campaign to learn if gift card rewards are a stronger motivator. Our end goal for Green Gamers would be to partner with large gaming studios and food producers. This would allow us access to many gaming franchises, so that rewards are available from a wide variety of games: making the platform appealing to a diverse audience of gamers. Similarly, a relationship with large food producers would give us the ability to place QR codes on a greater assortment of healthy food items. Although no relationships with large companies have been forged yet, we plan to utilize funding to test our concept on small focus groups in schools.
Time studies are an effective tool to analyze current production systems and propose improvements. The problem that motivated the project was that conducting time studies and observing the progression of components across the factory floor is a manual process. Four Industrial Engineering students worked with a manufacturing company to develop Computer Vision technology that would automate the data collection process for time studies. The team worked in an Agile environment to complete over 120 classification sets, create 8 strategy documents, and utilize Root Cause Analysis techniques to audit and validate the performance of the trained Computer Vision data models. In the future, there is an opportunity to continue developing this product and expand the team’s work scope to apply more engineering skills on the data collected to drive factory improvements.
Time studies are an effective tool to analyze current production systems and propose improvements. The problem that motivated the project was that conducting time studies and observing the progression of components across the factory floor is a manual process. Four Industrial Engineering students worked with a manufacturing company to develop Computer Vision technology that would automate the data collection process for time studies. The team worked in an Agile environment to complete over 120 classification sets, create 8 strategy documents, and utilize Root Cause Analysis techniques to audit and validate the performance of the trained Computer Vision data models. In the future, there is an opportunity to continue developing this product and expand the team’s work scope to apply more engineering skills on the data collected to drive factory improvements.