2022 IEEE Integrated STEM Education Conference (ISEC)最新文献

{"title":"A survey of student motivations for enrolling in engineering and technology undergraduate programs","authors":"A. Rao","doi":"10.1109/ISEC54952.2022.10025283","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025283","url":null,"abstract":"Despite many efforts to attract and retain students in STEM programs in U.S. universities, it has proven to be a significant challenge. The ongoing COVID-19 pandemic has added to the struggles of students and educational institutions. At the same time, there is significant interest among funding agencies, including the National Science Foundation and philanthropic organizations to encourage enrollment in minority populations. This requires that we need to better understand the student population. Many national surveys and data sources including the Integrated Postsecondary Education System (IPEDS) provide a macro-level view across the entire country. This is insufficient for producing classroom-level changes. We need detailed information at the micro-level such as student surveys across multiple institutions to probe student motivations and ensure that their expectations are met and nurtured. We present the results of conducting a survey among 32 STEMs students enrolled in an introductory engineering course at Fairleigh Dickinson University. This is the first semester after the pandemic that courses were taught in person. We found significant differences along gender and racial lines. For the male students, 38% chose their STEM major due to parental or social influence, whereas for females it was 12.5%. For whites, parental/social influence accounted for 28% of STEM choices, whereas for African Americans, it was 0%. Across all students, 50% chose a STEM major due to an early interest in the field, or due to self-realization that they were good at STEM-related activities such as problem-solving. Our results indicate the importance of hands-on STEM exposure to students at the K-12 level and the role of mentors. Due to the recency of the data collected, we expect our findings to be valuable to the STEM education community.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116386492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acknowledging Perceptions, Behaviors, and Beliefs: Exploring What Faculty Need to Integrate Technology into Instruction in Qatar","authors":"Ibrahim M. Karkouti","doi":"10.1109/ISEC54952.2022.10025260","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025260","url":null,"abstract":"This pilot study explored faculty members' views regarding the factors that facilitate the integration of technology into their instruction. The study was conducted in Qatar and comprised 10 participants from different schools and departments at a midsized postsecondary institution. Davis's technology acceptance model informed data collection and analysis. Data were collected using in-person, semi structured interviews. The interview protocol was researcher-developed and designed to align with TAM's constructs [1]. In order to elicit a broad range of responses, the interview questions were informed by the research questions. Preliminary findings from this study such as sufficient Arabic content and technological resources, adequate technology proficiency, and self-confidence could be of primary importance for faculty trying to use technology for teaching and learning purposes. A noteworthy finding was that cultural restrictions have the potential to enhance the use of technology inside the classroom. These findings could be of primary importance to Qatari policymakers, educational leaders, and postsecondary faculty members.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"293 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116570840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid and Automated Detection of Cancer and Immune Cells Using Novel Machine Learning Recognition Algorithms","authors":"Nesara Shree, Eva Vu-Stern","doi":"10.1109/ISEC54952.2022.10025238","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025238","url":null,"abstract":"The human body has over 200 different types of cells, each of which has a distinct function. Cures for many illnesses, such as cancer and neurological/cardiovascular diseases, involve killing specific dysfunctional cell groups. In the field of cancer research and immunotherapy treatment, scientists must identify harmful cancer cells and healthy immune cells in a patient sample. Current identification methods are inefficient because a researcher must manually set conditions, or a ’threshold value’, to identify each cell type independently. Implementing machine learning image-recognition technologies enables researchers to identify cancer and immune cells faster than with the existing approach because human intervention is not required. We are using Faster R-CNN implemented by Keras Tensorflow, one of the best one-stage object detection models proven to work well with dense, small-scale objects such as cells. The model learns to recognize patterns in the data using JPEG images, CSV renditions, and XML annotations to train. Once training is completed and the accuracy is calculated, adjustments are made to the model or dataset. This training cycle repeats until the model achieves the highest possible accuracy. The subsequent validation process confirms that the model’s inferences regarding the cell type are accurate. This engineering project shows that our model has the capacity to identify cancer and immune cells significantly faster than the current approach. Further experimentation includes not only cancer and immune cell identification, but also differentiating between the two cell types within one data sample. Applying this technology will allow researchers to improve upon current immunotherapy treatments.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122070291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Closed Loop Digitally Controlled Power Supply Analysis and Design with Register Level Coding Emphasis","authors":"J. Tsinetakes","doi":"10.1109/ISEC54952.2022.10025343","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025343","url":null,"abstract":"There are several different knowledge skills involved in completing a working digitally controlled power supply. The skills involved are power supply converter design, average power supply modeling, loop compensation techniques, frequency response analysis and stability criteria checks. These skills are covered in most Power Electronics and Linear Control courses. Insertion of digital control requires additional skills: the conversion of the analog control loop to a digital control loop through Z-transforms and modeling of the analog power supply with the digital compensation in the feedback loop. Actual implementation of the power supply with digital control in hardware requires learning microcontroller programming.Analysis and Design of the digital closed loop control using a microcontroller is the focus of the course presented in the paper. Many digital control and microcontroller programming courses are not giving the student the tools to program the digital control from scratch. Previous courses use code generating tools or pre-made libraries to handle a lot of the programming functions. This teaching method is fine for an overall example, but it leaves the student with the skill to only repeat the course example and not develop a digital control program on their own. The student is left with a steep learning curve to use a microcontroller to control different power supplies or use the digital control in another application. This course will teach microcontroller register level programming integrated with the design of a digital control loop for a power supply.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122188366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-Based Recipient Blood Type Matching Blood Transfusion Medical Device Design System","authors":"A. Sahu, Clarence Williams, S. Rajeev, Sharad Sharma","doi":"10.1109/ISEC54952.2022.10025037","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025037","url":null,"abstract":"Acquisition of blood products is costly and blood transfusion increases the risk of adverse events in acute and delayed medical complications. Coupled with the increase in oncohaematological therapies and numerous types of major surgeries, the demand for blood products is growing year after year. In this paper, an AI-based favorable or unfavorable donor selection medical device is proposed. The paper charts out the medical device production implementation plan, identify data sources, forms AI-based device design structure, and medical device regulation standards for product quality identified. The authors predict that using AI (machine learning) end-to-end lifecycle of transfusion decision-making device as proposed will significantly reduce diagnostic, treatment protocol, and mismatch products errors.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129359850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Darwin’s Finches Population - Will it Thrive or Dwindle under Climate Change?","authors":"Kavin S Sankar, Laura J. Wendelberger","doi":"10.1109/isec54952.2022.10025225","DOIUrl":"https://doi.org/10.1109/isec54952.2022.10025225","url":null,"abstract":"The Galapagos Islands are famed for their beauty and ecological diversity. They are also known for playing an integral part in the formation of Charles Darwin’s theories of evolution and natural selection. The Galapagos Islands even have their own group of finches known as Darwin’s Finches, whose beak dimensions were foundational to Darwin’s theory of evolution, recorded in The Origin of Species. The Galapagos Islands have a tropical climate, and frequently experience El Nino and La Nina oscillations. This kind of climate comes with high variability on temperature and precipitation, which can affect the reproductivity of the Darwinian Finches. Studies have shown that increased rainfall during El-Nino results in hatching success up to some extent, but after a threshold rainfall, it starts decreasing. A factor that could affect rainfall is climate change, which can also very seriously diminish or increase the reproductivity of Darwin’s Finches depending on the range of projected rainfall. This is because climate change can alter temperature and precipitation in the tropical area and change the frequency of El Nino and La Nina cycles, which in turn will affect the reproductive rates of the Finches. This paper explores the relationship between finch reproductivity and environmental factors to predict the reproductivity of the Darwin Finches in the short and long term under scenarios of climate change. We have acquired some data on the Darwinian Finches in the Galapagos Islands from the book 40 Years of Evolution: Darwin’s Finches on Daphne Major Island by Drs. Peter and Rosemary Grant. The book contains data on various factors such as the climate and rainfall of the islands, as well as the phenotypes and reproductivity rates of different species of Darwinian Finches. Using some of the data from this book we created a quadratic model that relates rainfall to the hatchling rates for the Geospiza fortis species $(mathrm{R} 2=0.6 text {and} mathrm{p} text {-value}-0.006)$. Using climate data, particularly rainfall, from CMIP6 models, this study predicts finches’ reproductive rates in 2050 and 2100. Based on this, a quantitative assessment of how finches’ population may thrive or dwindle due to climate change will be provided under rainfall projections developed under different emission pathways.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131008705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parallel Programming with Pictures - A Second Path (Work-in-progress)","authors":"L. Davis-Wallace, Wu-chun Feng","doi":"10.1109/ISEC54952.2022.10025156","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025156","url":null,"abstract":"Block based programming is a cornerstone of computer science education in elementary and middle schools across the country. By providing a visual representation of coding, users without prior knowledge can more easily begin writing their first program. Applications like Scratch and Snap! provide accessible block-based programming. The work outlined in this paper is a continuation of a recent study Parallel Programming with Pictures is a Snap! [1] that focused on educating students about the importance of parallel programming in the wake of plateauing computational horsepower in a single computer core. This addition makes the progression of modules more accessible for students of all backgrounds.Utilizing parallelism in the Snap! block-based coding language, we can program with parallelism and utilize multiple cores of a machine at once. By teaching about multi-core technology, students will be more aptly prepared for the future of computer science and computing technology. Expanding on this with lessons to target different audiences can help broaden the appeal of introductory programming.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131208202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Tracking Technology Trends using Text Data Mining","authors":"A. Fortino, Yiying You","doi":"10.1109/ISEC54952.2022.10025069","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025069","url":null,"abstract":"We present a technology trend analyzer that displays the frequency of demand for information technologies based on text data mining of job descriptions. It analyzes the term frequency of the leading technologies required of applicants in job descriptions scraped from a prominent job board. The tool is programmed in the R programming language with a Shiny interface and deployed on a Shiny server. It produces a bar graph of the technology frequency grouped by standard technologies from O’Reilly’s taxonomy, a prominent technology information publisher. We based our job search on a list of the most frequently occurring technology job titles from the U.S. Bureau of Labor Statistics O*NET occupation database filtered for STEM IT occupations. We also provide analysis to support our selection of the R development environment (versus Python or Java) given the constraints of the project of the allocated time, the experience level of the analyst, and the expected quality of the final product. The tool supports the download of the technology frequency tables as a CSV file. This tool has applications for students to determine which technology skills are in the highest demand in the job marketplace. Likewise, faculty may use this tool to determine which technology skills the marketplace is seeking in shaping their curricula. Most importantly, it may be used by technology adopters to gauge the readiness for adoption of contemplated technologies in order to minimize adoption risk.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114512529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and Implementation of an Educational Suit","authors":"Abrar Aleidan, Aishah Almajedi, Abdulazziz Alqattan, Fatmah Alramezi, Seyed Esmaeili, Amal Alateyah","doi":"10.1109/ISEC54952.2022.10025081","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025081","url":null,"abstract":"The applications of information technology and automation solutions have reached new limits in various sectors such as the industrial, medical, and even the educational field, which recently have witnessed a great development through implementing the automation of educational path methods and strategies for different levels: school and university. Implementing new technologies in the educational sector and in every classroom is essential to attract students’ attention in the classroom and encourage open-discussions and engagement in the subjects being taught. New teaching methods are emerging, and old ones are improving due to technological advancements. This paper presents and discusses the design and implementation process of a system of wearable technology that provides visual indicators and graphical displays of human body organs. The system aims to help instructors explain the human body parts through using multi-LEDs and sensors mounted on a suit. For example, when the instructor wearing the suit points at a certain part of the body such as the heart, the LEDs connected to the location of heart will light up and display visuals representing the heart, and this is applied to the rest of human body parts. The proposed educational suit aims to enhance students’ engagement in the classroom and capture their attention, which in return will help improve the learning experience.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125924151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the environmental effect of Chlorophyta using Convolutional Neural Network","authors":"Heyu Li","doi":"10.1109/ISEC54952.2022.10025189","DOIUrl":"https://doi.org/10.1109/ISEC54952.2022.10025189","url":null,"abstract":"My research is about building a program to identify whether a specific type of species will become an invasive species or not when entering a specific type of ecosystem and using a special kind of Artificial Intelligence to analyze the effect that a certain type of plant has on the environment around it, or them. In this case, Chlorophytes. This type of organism has a very clear effect on the environment, when the amount of Chlorophyta in a certain environment is below a certain threshold, it can benefit the environment by producing more oxygen and recycling the waste produced by other large organisms. However, when the amount of Chlorophyta grows beyond the threshold, there could be many problems that would be triggered by it. The program to do is process images of ecosystems with a certain amount of chlorophytes and try to predict whether the chlorophytes in this ecosystem would become an invasive species within a certain amount of time. A broader purpose of this research is to build this program to detect an invasive species in a certain type of environment by imputing the parameters of the animals and environment. How do we know whether an ecosystem is being destroyed by chlorophytes or not? The method I am currently using is first, to find some databases that are about all aspects of many species, for example, databases about species and their habits. By implying some data in it to make a little education program, and then, maybe import more data so it could be applied for more difficult and complex problems. What I am currently doing is that I am training my program that can process the image and predict the growth of chlorophytes in the ecosystem, by building this camera near the area that we want to detect, and letting it take a picture once in a certain amount of time and let the image being processed by my program to do what I asked it to do, along with other detectors to monitor the environment. For example, oxygen and CO2 sensor, light sensor, and so on. And we can build this whole system that can run on itself to monitor the growth of chlorophytes and give a warning to the control center when it has the trend to grow to an invasive species. Furthermore, this program would be a base of a bigger program, which is a whole system of invasive species forecasts. This system can not only be used to protect the environment but also be able to protect endangered species.","PeriodicalId":241826,"journal":{"name":"2022 IEEE Integrated STEM Education Conference (ISEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126118929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}