13th IEEE Integrated STEM Education Conference — 9 AM - 5 PM EDT, Saturday, March 11 Onsite Venue - Kossiakoff Center - 11100 Johns Hopkins Road, Laurel, Maryland
Works in Progress Papers
Session WIP-01
Track 7 — Works-In-Progress 1
Conference
2:50 PM
—
4:50 PM EST
Local
Mar 11 Sat, 2:50 PM
—
4:50 PM EST
Location
Room Number: K-221 (Upstairs, Second Floor)
Research Platform to Promote the Evolution of STEM Project Experiences
Ramakrishnan Sundaram (Gannon University, USA)
0
This paper discusses the setup of the research platform to engage middle and high school students, undergraduate and graduate engineering students in STEM project experiences which evolve from the basic to the advanced according to the STEM preparation of the student in each category. The research platform comprises wireless sensor nodes which are configured to record radio frequency signals within a grid or network of nodes. Radio frequency signals are used to perform non-invasive and device-free target localization of objects or entities in space. Radio tomographic imaging uses wireless sensor networks to form images from the attenuation of the radio frequency signals. The system is comprised of three subsystems the wireless sensor network, the command and data collection platform, and the user interface. STEM project activities are identified on the proposed research platform at different levels of complexity, specific to the category of students assigned to work on the platform.
Speaker
Speaker biography is not available.
Brief overview of embedded systems for Industry 4.0 Applications and Networks
Ian Hernandez Morales and Erick Petersen (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala)
0
This paper contains a brief survey of technologies used to develop embedded system designs and implementations as a work in progress, including microcontrollers, microprocessors, reconfigurable hardware, and recent developments in heterogeneous hardware. These components are classified by the complexity of the application and hardware implementation capabilities, using real-life examples compiled from literature to exploit their capabilities in industrial applications. This work aims to provide the best functionality to achieve the recommendations for Industry 4.0 and its integration with industrial networks under protocols and as accomplished in today's manufacturing process requirements. There are mentioned some related and extensive surveys that study the capabilities of embedded systems, their implementation in some industrial Internet of Things capabilities, and some development tools that are used for embedded systems for real-time applications in industrial environments. It compiles some standardization and good practices recommendations that provide well-established steps, criteria, and guides for their implementation. Also, it shows four different examples of industrial networks developed using a variety of protocols and commercial hardware currently available for wired connections, wireless connections, long-distance situations, and multi-protocol implementations. This work wants to be a literature resource for students, professors, and professionals who wish to have an overview of the different capabilities and advantages that embedded systems offer in industrial and academic environments.
Speaker
Speaker biography is not available.
Fostering Computer Science Education through Expert Interviews
Victor I Robila (Hunter College High School, USA)
1
Computer Science Chats (CSChats) was developed as a platform that promotes career awareness and readiness for students' computer science careers. Through CSChats, a series of publicly available video interviews with expert professionals was created. This paper details a content analysis of the interviews, identifies themes related to motivation for pursuing computing careers, recommendations for pursuing such careers and the future of computing. Motivations for pursuing a career in computing included the novelty of the domain, the creativity in performing the work, the drive to contribute to solving complex problems and being exposed to it. The recommendations for preparing for CS careers included taking advantage of accessibility of opportunities to experience computing, developing a mathematical and communications foundation and considering computing's applicability in the broader context. Cybersecurity, privacy, and artificial intelligence from the point of view of explainability, societal acceptance, and ethics were identified as key aspects of CS' future.
Speaker
Speaker biography is not available.
A Practice-Based Approach in Programmable Logic Controller Education Using Elevator Control System
Shahrokh Sani (SUNY Canton, USA)
0
A programmable Logic Controller is a standard industrial controller with a microprocessor widely used in industrial control systems. It is reliable, flexible in programming, easy to install/troubleshoot, and cost-effective. A programmable logic controller could tolerate high-level temperature, humidity, electrical fluctuation, and noise. These features make it the most common controller used by industries. Although programmable logic controller knowledge and experience give an extreme advantage to students in today's competitive job market, universities and educational institutions control systems engineering courses most focus on continuous-based control systems and not the programmable logic controller. This paper presents the design and implementation of an elevator control system using a programmable logic controller with SIEMENS technology. It purposes to improve the programmable logic controller learning with a case study of the design and implementation of a three-floor programmable logic elevator control system project under the undergraduate course of the programmable logic controller. It provides hands-on experience in programmable logic controller's ladder logic programing, motor control (forward-reverse), three-wire motor control, timers, internal addressing, counters, and sensor interfacing.
Speaker
Speaker biography is not available.
River Floods Early Warning System (SATGAL)
Mario Carpio (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala); Erick Petersen (Universidad Galileo, Guatemala)
0
Guatemala is located in the middle of two oceans and has 38 rivers in its national territory. Plus the geological position with which it is located, in the middle of mountains and 32 volcanoes, makes us prone to a high number of natural disasters that can affect the lives of many people who live around risk areas such as rivers and the volcanoes. This paper will be showing an early warning system on river floods where its main mission is to alert the surrounding area of a possible river flood and also to be able to capture this data in order to be analyzed.
Speaker
Speaker biography is not available.
Developing Mini VR Game Engines as an Engaging Learning Method for Digital Arts & Sciences
Angelos Barmpoutis, Wenbin Guo and Ines Said (University of Florida, USA)
0
Digital Arts and Sciences curricula have been known for combining topics of emerging technologies and artistic creativity for the professional preparation of future technical artists and other creative media professionals. One of the key challenges in such an interdisciplinary curriculum is the instruction of complex technical concepts to an audience that lacks prior computer science background. This paper discusses how the process of developing small custom game engines for virtual and augmented reality can become an effective and engaging method for teaching various fundamental technical topics from Digital Arts and Sciences curricula. Based on empirical evidence we demonstrate examples that integrate concepts from geometry, linear algebra, and computer programming to 3D modeling, animation, and procedural art. The paper also introduces an open-source framework for implementing such curriculum in Quest VR headsets, and we provide examples of small-scale focused exercises and learning activities.
Speaker
Speaker biography is not available.
WIP: Interdisciplinary Teaching via Hands-on Practice in Cybersecurity
Qiaoyan Yu (University of New Hampshire, USA); Dean Sullivan (UNH, USA); Diliang Chen, Dongpeng Xu, Karen Jin and Joshua Calzadillas (University of New Hampshire, USA)
0
Interdisciplinary teaching is challenging but it is also highly demanded, especially in the era of internet-of-everything. This work-in-progress paper introduces the effort that promotes interdisciplinary teaching across discipline boundaries of electrical and electronic engineering, information theory, semiconductors, telecommunication engineering, robotics, computer science, and control. Two approaches are proposed to enhance interdisciplinary teaching: student-driven skill sharing fosters more knowledge exchange across multiple disciplines and curriculum changes advance active learning and competency learning. The proposed teaching approaches are implemented in the hands-on projects conducted in a new educational laboratory and outside-of-classroom activities, such as skill-sharing workshops, IEEE club nights, and Cybersecurity Day.
Speaker
Speaker biography is not available.
Adjustable Platform for Exploring Soft Robotic Gripper Design
Janelle P Clark (University of Massachusetts Lowell, USA); Emily LaBelle and Domenic Carrillo (UMass Lowell, USA); Holly Yanco (University of Massachusetts Lowell, USA)
0
The growing importance of STEM careers and the imbalance of the demographics of people who pursue them have resulted in a myriad of outreach activities and platforms to expose students to key concepts in fun and interactive ways. Robotics is one of the primary themes of these outreach activities due to the combination of disciplines (e.g., mechanical and electrical engineering, computer science). Specifically, soft robotics, an emerging field, has become a popular topic as it is outside the expectations and experiences of most students, making it more universally accessible. In this work, we present a tendon-driven, soft-robotic gripper platform with multiple adjustable design features in order to emphasize the iterative nature of design. Students can choose the number of fingers, their distance apart, and their length and number of joints. After designing and molding the fingers themselves, threading the tendon and installing them on the base, they have the opportunity to test and iterate their design. Eleven high school girls and their teachers participated in a pilot activity, filling out a survey on the design of the platform. The surveys indicated the students found the activity a fun, interesting, and valuable learning experience, one they would recommend to their friends.
Speaker
Speaker biography is not available.
Hours of Work, Minutes of Code: An Investigation Into Software Development Applications and Computer Science Education for Engineers and Scientists
Ana Zoe Rasking (Johns Hopkins University Applied Physics Laboratory, USA)
0
The need for programming skills is becoming increasingly ubiquitous within the fields of science and engineering. However, new professionals entering their respective fields, in addition to practicing professionals with years of experience, lack the education and exposure necessary to effectively apply software development to their work. In order to promote the increased use of software development within scientific and engineering fields, this research project primarily seeks to survey, characterize and categorize applications of software development. Additionally, it aims to understand how students interested in science and engineering might best be motivated to learn programming. An initial review of literature will be supplemented with original data collection through interviews and a questionnaire in order to reach research objectives. Data collection will allow for a comprehensive review of the current uses of software development for personal or intra-institutional use, as opposed to commercially produced software packages, and will shed light on the state of computer science education among students pursuing non-computer science majors. This review of practical applications, in addition to research-founded recommendations, will aid educators and professionals in advocating for increased participation in computer science curricula, and thus contribute to a more thorough and grounded preparation of the next generation of engineers and scientists entering the workforce.
Speaker
Speaker biography is not available.
Session Chair
Avah C. Harris (JHU/APL)
Session WIP-02
Track 8 — Works-In-Progress 2
Conference
2:50 PM
—
4:50 PM EST
Local
Mar 11 Sat, 2:50 PM
—
4:50 PM EST
Location
Room Number: K-223 (Upstairs, Second Floor)
Question Assessment Recommendation System Based on Personalization using Collaborative Filtering and Long-Short Term Memory
Hartawan Bahari Mulyadi (University of Jember, Indonesia); Saiful Bukhori (Universitas Jember, Indonesia); Gayatri Dwi Santika (Jember University, Indonesia)
3
The use of e-learning has the potential to change the way students learn, and it can be further improved by utilizing stored digital data to provide an engaging and interactive learning experience. The Collaborative Filtering approach is applied to increase student learning interest by providing personalized questions that are tailored to each student's needs and abilities. This feature is used to solve teacher issues and the need to create assessments that be time-consuming and not accustomed to digitalizing questions. During creating an assessment, the system will provide the teacher with recommendation questions; therefore teacher is able to adjust it based on every curriculum. Another application of machine learning is using Long Short-Term Memory helps the teacher by being able to forecast student scores and is used as an early detection tool for identifying students who may be struggling or losing interest in learning. The data source obtained from e-learning to implement both machine learning algorithms is limited to data on students' assessment scores and data on questions with mathematics subjects. This work is intended to assist primary school mathematics teachers in making personalized assessments for each student with the aim of presenting interactive learning media as well as being a medium for monitoring student performance.
Speaker
Speaker biography is not available.
Extracting occupancy information from sensor data using machine learning: LU-PRISM Program
Sanish Rai (Longwood University, USA)
1
Two undergraduate students will work with the faculty to implement machine learning models on extracting meaningful information from building sensor data. As a part of the LU-PRISM (Longwood University Perspectives on Research in Science and Mathematics) program, the students will learn research methodology and also implement in their field of study. Under the mentorship of the faculty, the students will collect data from building spaces, and apply steps of data analysis and machine learning to estimate the occupancy status of the environment. The students will report their finding to faculty and also present their work in peer reviewed medium. In this paper, we briefly provide information about the PRISM program and the discuss the research and the plan for the project.
Speaker
Speaker biography is not available.
A Framework for Evaluating Parental Controls for Streaming Services
Amanda Moctezuma and Stefan Robila (Montclair State University, USA)
1
The paper describes the development of an evaluation framework for parental controls as a mechanism for managing children's access to video content and discusses how educational practices can be employed for better design. The evaluation framework has two components. First, the differences, effectiveness, and the user's perception of various parental control software systems were investigated through surveys that evaluated both general aspects of controls as well as through usability questionnaires focused on individual applications. Results indicate that while control mechanisms are seen as needed, their usage continues to be low. Factors that limit their adoption include a limited understanding of their functionality, significant differences in the interface between various services, and a lack of hardened security. Second, the security and usability features placed into the parental controls of different streaming platforms were analyzed through an evaluation toolkit grounded in previous literature as well as on user feedback. The toolkit is formed of a set of evaluation criteria that include user experience, security, and alignment with the content rating system for which scores are generated. The toolkit was used to evaluate the largest streaming services (in terms of the number of users). The results show that parental controls continue to be quite diverse in implementation across various platforms, leading to non-uniform experiences and limited usage, a concerning aspect given the continuous growth and diversification of the content streaming industry.
Speaker
Speaker biography is not available.
Microcontroller Based Platforms For STEM Education
Kam C Sum (AIquanta Ltd., Singapore); Kei-Hin Ng, Wang-Kong Lam and Ho-Yin Chui (AIphotonics Limited, Hong Kong); Chiu F Li (Cognitio College Kowloon, Hong Kong)
2
Use of microcontroller in electronic kits has been popular in STEM education. Students around the age of 14 to 15 years old learn coding skills and basic electronic principles from practical projects, raising their interests to become future scientists or engineers. In this paper, we present our past IoT project working with a school with the theme of smart campus. Students received demonstration and gained hands-on experience with IoT devices in less than a total of five hours of lessons within a month-long period. We also introduce a microcontroller based platform offering multiple features on an Enhanced Shield. Key advantage of this new platform lies in a single serial bus structure facilitating easy addition of accessories such as motors and sensors in a daisy chain fashion. Each accessory is software defined for control purposes. The new platform will be implemented in an upcoming robotic car project. Students will be taught skills of motor control and artificial intelligence feature of color recognition.
Speaker
Speaker biography is not available.
An Innovative Scheme for College Ranking: A Socialization Perspective
Binxi Xie (Emory University, USA)
1
Using the U.S. News college rankings as an example, this scheme highlighted the concerns and obstacles existing commercial college ranking lists confront, including data fabrication and data credibility. As we have anchored contemporary thought in education, the college rankings nowadays are irrational and contrary to the spirit of education. Instead, we utilized socialization as a valid objective of education and examined how the socialization of students is a core ranking indicator congruent with education's raison d'être. Therefore, we proposed a new Bayesian statistical ranking method based on colleges' impact on students' socialization. This new approach to college ranking provides a more accurate and fair representation of the quality of institutions and is more in line with the true purpose of education. This paper aims to contribute to the ongoing conversation about the importance of socialization in education and the need for a more equitable and meaningful way of evaluating educational institutions.
Speaker
Speaker biography is not available.
Survey of K-8 Teachers: Intersecting Computer Science Education, Diversity, and Inclusion
Sumi Hagiwara (Montclair State University, USA); Katherine Herbert (1 Normal Ave & Montclair State University, USA); Minsun Shin, Vaibhav Anu, Rebecca Goldstein, Patricia Virella and Geraldy Wang (Montclair State University, USA)
2
The national call to teach computer science (CS) in elementary school is widely adopted, but how prepared are elementary teachers to deliver CS instruction? Researchers explore this question through a pre-/post-CS attitudinal survey, based on teachers participation in a series of CS professional development (PD) workshops for teachers. Researchers developed the PD training that aims to develop teacher's professional knowledge and skills. The PD includes content related to surveying the current context of CS education, the landscape of CS as a field, and understanding the CS student learning standards. PD training also included interdisciplinary approaches to CS education and examined diversity and inclusive practices to meet the needs of students from diverse background and learning styles. The attitudinal survey is based on an existing computer science attitudinal instrument with additional items on diversity and inclusion. Attitudinal constructs included six subscales: 1) Confidence in learning computer science and programming, 2) Attitude toward success in computer science, 3) Computer science as a male domain, 4) Usefulness of computer science and programming, 5) Effective motivation in computer science and programming, and 6) Perceptions of diversity and equity in a CS classroom. Descriptive statistical analysis from 32 participant responses interpret attitudes towards computer science, diversity and inclusion before and after the PD. Teachers' attitudes towards CS increased when exposed to professional development that intersects content with practical applications. Overall, teachers' responses indicate a positive change in their Confidence in learning computer science and programming, attitude toward success in computer science, recognizing of the utility and ubiquity of computer science and programming and motivating factors for efficacy in computer science and programming.
Speaker
Speaker biography is not available.
Competencies assessment: indicators for a covariance structural model for STEM
Leopoldo Julian Lechuga Lopez (New York University Abu Dhabi, United Arab Emirates); Olga Lopez (Instituto Tecnológico y de Estudios Superiores de Monterrey, Mexico)
0
During the last two decades, formal studies focused on explaining the gender gap in science, technology, engineering, and mathematics careers have increased exponentially. In parallel, the efforts and strategies of universities, international organizations e.g., the United Nations Agency for Education, Science and Culture, the European Union, and the World Economic Forum, and women's associations have emphasized the under representation of females in science and engineering professions. However, the efforts to reduce the gender gap remain insufficient, and increasing female underrepresentation in STEM careers continues to be a big challenge. Information technology careers present a much more dramatic gender gap when considering the availability of professionals for the jobs that will be required in the future for this industry. This paper is an evolving work which aims to propose more effective strategies that can positively impact women's recruitment in STEM intensive careers in the medium and long term. As a first approach, we have collected data from a group of young women who chose an engineering major, and we measured their level of proficiency in 10 competencies at the beginning of their undergraduate studies and two years later, after they have followed STEM courses. Using traditional statistical methods such as correlations, cluster analysis, and parametric hypothesis testing, we found that their competencies evolved and clustered following trends and could serve as indicators that measure latent variables of a structural model of covariance. Our goal is to generate enough data to build such a model that explains why a woman might choose or avoid STEM careers.
Speaker
Speaker biography is not available.
A Framework for Introducing Artificial Intelligence to K-12 Students
William E Husen (University of Wisconsin, USA); Mehdi Roopaei (University of Wisconsin - Platteville, USA)
1
Exposing kids to modern technologies gives them an edge in today's world. Fostering cognitive development and enhancing problem solving skills are just some of the benefits that kids can acquire when they are exposed to modern technology during their early stage of development. Artificial Intelligence (AI) and Autonomous vehicle are two technologies which will fundamentally change the society with we inhabit. The way children are exposed to this new knowledge is important it is essential to make sure they can interact with these technologies in a safe environment, could repeat it as much as they want, and enjoy the learning experience. In this work in progress paper, we try to make a driverless car in a game environment where the students control the status of this vehicle using AI. The students visualize how a driverless car is being controlled within a simple Scratch environment and how AI could be involved to help them to control their designed car. The proposed project also opens a new window for STEM programs to let the kids apply AI ideas in real life applications without any knowledge about programming
Speaker
Speaker biography is not available.
Session Chair
Harshil Agarwal (JHU/APL)
Session WIP-03
Track 9 — Works-In-Progress 3
Conference
2:50 PM
—
4:50 PM EST
Local
Mar 11 Sat, 2:50 PM
—
4:50 PM EST
Location
Room Number: K-225 (Upstairs, Second Floor)
Data-driven Analysis of Elementary School Students' Computational Thinking through Scratch Projects
Guang Yang, Daisuke Saito, Hironori Washizaki and Yoshiaki Fukazawa (Waseda University, Japan)
1
The development of computer science has led to an increase in programming education for younger people. Many countries have begun programming education in elementary schools. As is a relatively new subject in elementary education, the course design and textbooks for programming education remain under development. The growth trend in computational thinking (CT) is helpful for educators to teach suitable programming concepts to students. Scratch, which is mostly used as an introductory programming language for elementary school students, can be evaluated to reflect students' CT. In this work-in-progress research, we conducted a data-driven analysis on fourth-grade students' CT growth in their first 3 years of programming learning by evaluating their Scratch projects. A preliminary result shows that CT grows rapidly in the first 2 years and tends to be stable in the third year. The reasons for the difference in growth of specific CT concepts are discussed.
Speaker
Speaker biography is not available.
Facilitating Students' Abstract and Computational Thinking Skills Using Virtual Reality
Xinze Wang, Daisuke Saito, Hironori Washizaki and Yoshiaki Fukazawa (Waseda University, Japan)
1
As Virtual reality (VR) devices become more widespread, they are being recognized as efficient teaching tools for many subjects. In the 21st century, learners are expected to master important skills, which are difficult to teach in conventional lectures, such as computational thinking, critical thinking, creativity, and abstract reasoning. [1] Therefore, computer science or information technology courses often limit the discussion of recursion to calculating a factorial or a Fibonacci number, even though recursion is presented as an academic-type oddity in most cases. [2] To elucidate how VR can improve students' computational thinking skills and abstract thinking associated with solving problems that require recursive algorithms, this paper examines the use of VR in computer science education to teach the abstract concept of recursion. The results of learners using VR Tower of Hanoi software are compared to those using the conventional Hanoi puzzle. Most learners show an improved understanding after experiencing the gameplay in the VR software, and some demonstrate a better understanding of recursion. In the post-survey, most participants acknowledge that the immersive environment is helpful when learning abstract subjects.
Speaker
Speaker biography is not available.
Parallel Bayesian Estimation of an IRT Model using Multiple GPUs
Yanyan Sheng (University of Chicago, USA); William S Welling (Texas A & M University, USA); Michelle M. Zhu (Montclair State University, USA)
0
Item response theory (IRT) is a popular approach used for addressing psychometric problems in educational and psychological measurement. Its use in large-scale assessments typically involves a calibration stage where a large and representative sample is needed to ensure the accuracy in estimating item parameters. This is, however, difficult to achieve in small-scale or classroom settings, especially when immediate feedback is desired. The problem can be resolved by combining existing and newly collected item response data to simultaneously estimate both item parameters and person abilities, which require a complex estimation procedure and an efficient algorithm. The complex estimation of IRT models via fully Bayesian approach is usually computationally expensive due to the large number of iterations, and a large amount of memory to store massive amount of data. This limits the use of the procedure in applications using traditional CPU architecture. In an effort to overcome such restrictions, previous studies focused on utilizing high performance computing using either distributed memory based message passing interface (MPI) or massive threads compute unified device architecture (CUDA) to achieve certain speedups with a simple IRT model where one latent trait is assumed. This study focuses on such models and aims at demonstrating the scalability of parallel algorithms integrating CUDA into MPI computing paradigm. Results of this study further sheds light on applications of IRT in integrated STEM education.
Speaker
Speaker biography is not available.
An In-Situ Behavior Measurement Approach using Organic Text Communication Toward Monitoring Student Success
Maya Albayrak (The Johns Hopkins University Applied Physics Laboratory & Carnegie Mellon University, USA); William Gray-Roncal (Johns Hopkins University Applied Physics Laboratory & Preparation Meets Opportunity Foundation, USA)
0
Precision education can aid students in fulfilling their academic potential. The first step in establishing a precision education approach is pinpointing behaviors that help students to succeed. Through this research, we explored the use of Natural Language Processing (NLP) techniques on student text messages, through the Slack messaging service, as a tool for understanding student behaviors. We hope that this approach can be used in a Human-Computer Interaction (HCI) framework to build assessments and visualizations that will help communicate student behaviors to mentors to better support emergent needs. We already see that this analysis has a plethora of data that can provide unique insights into real-time communication and progress of program members. We work closely with trailblazing students, who have high capability, but often limited previous opportunities to work in a research environment. Therefore, it is critical to rapidly identify areas of strong or limited performance to provide enrichment and guardrails.
Speaker
Speaker biography is not available.
Toward a More Equitable and Effective Process for Student-Mentor Cohort Assignment
Carah Katz (JHU Applied Physics Laboratory, USA); Martha Cervantes (Johns Hopkins University Applied Physics Laboratory, USA); William Gray-Roncal (Johns Hopkins University, USA)
0
We host an internship program for trailblazing undergraduate students through intensive mentoring and the unique opportunity to participate in cutting-edge research while building skills to make future significant contributions to science. This program stands out for its focus on individuals from first generation or low-income backgrounds; those with limited research experience; and those facing systemic barriers. Through the adoption of a cohort-based model, students are able to gain scientific knowledge and critical professional skills in a hands-on, collaborative, and fun environment. Because of our student population, many of our interns have a strong passion and capability for their projects, but lack the necessary expertise at the beginning of the program. Mentors are excited to support students and leverage their enthusiasm, but are constrained by the need to achieve their promised research results. Finally, because this program is cohort-based, when considering the assignment between projects (and their mentors) and student subgroups, the relationships and shared capabilities within a cohort are much more important than the capability and match of a single student.
This paper presents possible solutions to enhance current matching algorithms to complete a task that current matching algorithms do not; current algorithms often match independent stability (as "skill" and "interest" in problems like Hospital Residency (HR) are supposedly equal) while we are attempting to match in accordance to group stability (including the dynamics between independents in a given situation). This requires an approach that considers different weights for attributes such as skill and interest, as well as tuning capabilities to reflect the needs of a particular program instantiation."
This paper presents possible solutions to enhance current matching algorithms to complete a task that current matching algorithms do not; current algorithms often match independent stability (as "skill" and "interest" in problems like Hospital Residency (HR) are supposedly equal) while we are attempting to match in accordance to group stability (including the dynamics between independents in a given situation). This requires an approach that considers different weights for attributes such as skill and interest, as well as tuning capabilities to reflect the needs of a particular program instantiation."
Speaker
Speaker biography is not available.
Quantum Sensing for Anti-Submarine Warfare
Benjamin E Nathan (Johns Hopkins University - Applied Physics Laboratory, USA)
0
Quantum Sensors are highly sensitive detectors that have the potential to improve our sensing capabilities for Anti-Submarine Warfare. There are three different types of sensors (Nitrogen Vacancy Diamonds, Silicone Carbide Magnetometers, and Superconducting Quantum Interference Devices (SQUIDS)) that are the best candidates for Anti-Submarine Warfare. Throughout this paper, I review these three sensors and their capabilities. Based on this, I eventually conclude which of the three sensors I believe would be most optimal for quantum sensing. This paper is based on published reports as well as my meetings with experts at JHU/APL and representatives from companies that produce quantum sensors.
Speaker
Speaker biography is not available.
A3Sat: Using CubeSat Emulators to Broaden Advanced Participation in STEM Education
John D Moore (Institute for Earth Observations, USA & NASA GLOBE Mission Earth, USA); Maxwell Friedman and Sriram Elango (Institute for Earth Observations, USA); Jin Kang (United States Naval Academy, USA); Christine Maceo (USNA, USA)
1
As CubeSats have expanded in usage and development within research and industry, capable of being applied for various mission purposes, their potential for educational impact has grown correspondingly. A culmination of several fields and dimensions of STEM, CubeSats possess the ability for in-depth and comprehensive technical education. The A3Sat Emulator V 2.0 is a 1U CubeSat-class satellite that is designed to be used for education in a classroom setting. It was devised to authentically replicate building a Tier 1 CubeSat for pre-college students. The current V 2.0 A3Sat fosters a more technically accurate and parallel experience compared to V 1.0, incorporating aspects such as radio communication and GPS, maintaining an emphasis on the operational mechanics of CubeSats. The A3Sat Emulator Enterprise will introduce teachers and students to this emerging disruptive space technology, i.e. CubeSats, and seeks to train and develop a new pre-college SmallSat community. As part of the design, there are sensors that will collect/transmit data and provide operational feedback to a GroundStation. A3Sat was developed, constructed, and designed to both strengthen existing curriculum taught in class, as well as incorporate topics commonly missed. Within construction alone, the A3Sat retains lessons in computer science, aerospace/mechanical engineering, material science, and electrical engineering, fostering an intellectual environment for students to explore their STEM interests. The data and/or imagery provide a wide range of innovative and transformative opportunities to develop proficiencies, gain experience, and explore career pathways that are not readily available to the pre-college community, thus broadening participation in STEM careers.
Speaker
Speaker biography is not available.
Low-cost hearing aid using Mobile App and Bluetooth headset
Mohana Bhuvanagiri (Acton-Boxborough Regional High School, USA); Srikar Bhuvanagiri (RJ Grey Junior High School, USA)
2
The project aims to develop a low-cost hearing aid solution using a mobile phone app and Bluetooth headphones. The team has recorded audio in different environments, analyzed the waveforms, and applied gain adjustments based on the patient's audiometry graph. The algorithm was adjusted and tuned to avoid speaker saturation and further tuning of algorithm is planned based on inputs from different patients. The next steps include creating a mobile app for the patient to control gain in different frequency bands, tuning Bluetooth parameters to avoid lip sync issues, and testing the app on patients before uploading it as a free app on the Play store/App store.
Speaker
Speaker biography is not available.
Session Chair
Bethlehem K. Seyoum (JHU/APL)
Session WIP-04
Track 10 — Works-In-Progress 4
Conference
2:50 PM
—
4:50 PM EST
Local
Mar 11 Sat, 2:50 PM
—
4:50 PM EST
Location
Room Number: K-227 (Upstairs, Second Floor)
Integrating Cyber Physical System Security Concepts in Computer System Security Curriculum
Heena Rathore (Texas State University, USA)
1
Cyber physical systems (CPS) are becoming increasingly prevalent in our daily lives, from connected vehicles and medical devices to critical infrastructure systems. As there is growing emphasis both in industry and academia in security aspects of CPS, the students should have sufficient foundational knowledge about these topics as they transition into their professional careers. This manuscript describes the integration of modern CPS security concepts into the traditional required Computer System Security undergraduate course at Texas State University. Content is introduced through a group course project, where students reviewed and replicated results from a recent relevant CPS security paper. Papers were self-selected by groups based upon ten recommendations covering content from emerging CPS security topics, such as connected vehicle security and industrial IoT. Based upon the success of this initial implementation, future efforts to expand the scope of CPS coverage in future course iterations are proposed.
Speaker
Speaker biography is not available.
Enhancing a Multi-Disciplinary Introduction to Engineering Course Through Course-Based Undergraduate Research
Henry Griffith, Christopher Saldivar and Michelle Baland (San Antonio College, USA)
1
This work-in-progress manuscript describes the redesign of a multi-disciplinary introduction to engineering course at San Antonio College, a two-year Hispanic Serving Institution located in San Antonio, Texas. This course redesign is intended to enhance students persistence to transfer through the integration of multiple high impact practices, including a course-based undergraduate research experience (CURE) developed in partnership with a corporate partner. In addition to the CURE, students were also introduced to research computing skills in order to enhance their competitiveness for summer internship and research opportunities. A guest speaker series was also integrated within the course to enhance students' resource awareness and self-efficacy. Details regarding the initial implementation of the redesigned course during the Fall 2022 semester are provided herein, along with lessons learned for improving the course during future iterations.
Speaker
Speaker biography is not available.
Specific Absorption Rate Lessening Through A Combined EBG-Cells
Mohammad El Ghabzouri (Mohammed First University, Faculty of Sciences, Oujda, Morocco); Abdenacer ES-salhi (Université Mohamed 1er, Morocco); Paulo Mendes (University of Minho, Portugal)
1
This work investigates the specific absorption rate (SAR) reduction of the energy generated by handsets, either on the holding hand (when using WiFi, WiMax or WLAN), or on the human head when making voice calls over 4G or 5G mobile networks. In this paper, we investigate the efficiency of reducing SAR at 3.2 and 3.5 GHz throughout a combined electromagnetic band gap (EBG) cells instead of the diverse used methods in most recent years. Recently, with the beginning of the 5G era, the debate arose again about the possible health effects of electromagnetic (EM) radiation exposure on humans. Hence, as a consequence of this, it is evident that providing new SAR reduction approach is very demanding, especially when it involves characteristics improvement, miniaturization, and low-cost materials like EBG structures, which can allow its broad use for low SAR mobile phones or base stations antennas requiring high power radiation in rural areas. The obtained SAR levels are mostly very satisfying, which make these EBG structures a competitive solution to allow the commercialization of some high-performance antennas which are not below the SAR restriction limits specified by international standards.
Speaker
Speaker biography is not available.
An Expression-Oriented Approach to Programming Education
Enzo Alda (Lakebolt Research, USA); Jorge Baralt-Torrijos (Simón Bolívar University, Venezuela)
0
Learning programming language syntax is considered an obstacle in programming education. However, we believe it is an overlooked opportunity to exploit obvious synergies with Math. As evidenced around the world, middle and high school students know the syntax required to compute simple expressions, without previous exposure to programming languages. We make the case for an "expressions first" approach to facilitate the development of computational thinking. Our approach has the benefit of integrating directly with Math, which in turn reinforces the teaching of other STEM subjects as well as non-STEM ones. We report early results of an ongoing trial using a visual computing environment that supports this approach.
Speaker
Speaker biography is not available.
Legal Protection to Avoid Plagiarism Behavior Among Students
Muhammad Haitsam (Telkom University, Indonesia)
0
Plagiarism often occurs in the academic world and it is an offense to take someone else's work and admit it as its own. plagiarism must be prevented. Plagiarism activities make students turn off creative and critical thinking patterns so that they will tend to look for convenience which will result in stupidity for the nation's next generation. This study aims to review the plagiarism of existing legal regulations in Indonesia. This research uses the normative writing method, the approach used in this writing is the statutory approach (Statute Approach). This research also presents steps to reduce plagiarism, such as avoiding "intellectual theft", doing good writing (citation and paraphrasing).
Speaker
Speaker biography is not available.
Energy consumption and future forecast of IoT devices in networks
Kevin A Echeverria (University Galileo & Galileo, Guatemala)
1
Electricity plays an important part in everyday life and it is estimated that in the next decade it will open more than 40 billion intelligent objects connected to the IoT. Reducing energy consumption in wireless communications has attracted increasing attention, such as renewable energy and energy optimization. Considering the energy consumption in the development of such applications, as well as the consumption of data produced by IoT devices, this remains a huge challenge. There is the absence of knowledge about what are the best practices for developing green IoT applications, and for that it is necessary to understand the energy use of various communication technologies. In this paper, it aims to increase the awareness of understanding and helping application and device designs to better utilize energy in communication. We will analyze the IoT structure in the network layer. To itself talk about the different types of connections and how is the performance in the energy in each of them, evaluating the energy consumption of different communication technologies in IoT (ZigBee, WiFi, LoRA, NB-IoT) and analyzed to see which performs best with low energy consumption. Achieving a strategy to minimize the volume of data that can be transmitted through the IoT environment.
Speaker
Speaker biography is not available.
Middle School Teachers' Instructional Practices to Maximize Learning Using integrated STEM
Paul Asunda, Fatima Perwaiz and Hillary O Omoze (Purdue University, USA)
0
While STEM fields contribute significantly to the United States' leadership position in the world, the current STEM pipeline problem poses a serious challenge to it. Considering integrated STEM (iSTEM) as an effective way to overcome the declining number of STEM graduates, this study explored middle school teachers' conceptualization of and instructional practices around iSTEM in classrooms. As participants, 4 teachers from 3 schools in a mid-west state took part in the study. An instrumental case study design, utilizing a phenomenographic lens, was used to explore the research questions under consideration. Data were collected through classroom observations, photo documentation, and teacher interviews and later analyzed using Kurkartz's six steps. There were 5 core themes that emerged: conceptual learning, reflection, teacher engagement, student engagement, and context set-up. The findings revealed that while teachers conceptualize iSTEM as the integration of interdisciplinary concepts and knowledge to situate problems in the real-world context, students are more inclined to learn STEM concepts by actively engaging in hands-on iSTEM activities.
Speaker
Speaker biography is not available.
WiP: A wearable system for detecting falls using a sound sensor
Fabián A Hernández (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala); Erick Petersen (Universidad Galileo, Guatemala)
0
In the elderly, the accidents that are most likely to
happen are falls and the consequences can be very serious, from
hip and femur fractures to death. Along with this, the time to
care for a person after this type of incident is essential so that the
consequences are minor. Given all this, this paper presents a fall
detection system through a portable device that implements an
accelerometer and a sound sensor, which together work with a
microcontroller capable of processing the information and with a
machine learning algorithm. The previously mentioned algorithm
will oversee the processing of the accelerometer data together
with the sound sensor data to detect a fall.
happen are falls and the consequences can be very serious, from
hip and femur fractures to death. Along with this, the time to
care for a person after this type of incident is essential so that the
consequences are minor. Given all this, this paper presents a fall
detection system through a portable device that implements an
accelerometer and a sound sensor, which together work with a
microcontroller capable of processing the information and with a
machine learning algorithm. The previously mentioned algorithm
will oversee the processing of the accelerometer data together
with the sound sensor data to detect a fall.
Speaker
Speaker biography is not available.
Chinese Urban Subculture of Misinformation: Ideology Formation of the Sanhe gods
Tiffany Huang (Britannica International School of Shanghai, USA)
0
When coming across the topic of "misinformation," the direct linkage with misinformation was that it could cause the forming of an information cocoon. Nowadays, information cocoon shows up significantly through online social media to match groups of cocoons that share the same interests. This study chose to examine the life of the Sanhe gods in Shenzhen, China. A group of the population is the direct victim of an information cocoon. The inherent lack of interest in vulnerable groups will lead to their more effortless and faster formation of information cocoons. As the research method, many programs containing an overall view of the whole population ignore many personal feelings and characteristic colors at some levels. This research employed the method of microhistory in a Bayesian manner to study how the Sanhe youth stepped into their serious information cocoon due to misinformation in contemporary society. The microhistory method needs to be more significant to represent generalizability better. Quantitative data from online social media to evaluate the whole situation of the reason and forming of an information cocoon was interpreted as reasonable expectation representing a state of knowledge. Finally, the paper concluded that many factors triggered their information cocoon. However, the most significant cause was the lack of adequate education for vulnerable groups leading them to be trapped by misinformation, thus forming their own solidified information cocoon.
Speaker
Speaker biography is not available.
Session Chair
Cherita Corbett, Wale Akinpelu (JHU/APL)
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