12th IEEE Integrated STEM Education Conference (On Demand Recording available now)
Works in Progress
Track 10 — Works-In-Progress I
Low Cost and Lightweight Boat for Water Lake Cleaning: A Work in Progress
Rodrigo Alberto Cordero (Turing Lab, Guatemala); Erick Petersen (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala)
Junior High-School study of RoboPhysics
Ofer Danino (Technion, Israel); Gideon Kaplan and Itamar Feldman (Ministry of Education, Israel); Joseph Shapira (Consultant, Israel)
Exploring Coding Attitudes of Chinese Elementary Students: A Preliminary Study
Shuhan Zhang and Gary K. W. Wong (The University of Hong Kong, Hong Kong); Xiaojing Sun (Weifang Dongming School, China)
A3Sat: Using CubeSats to Inspire the Next Generation STEM Professionals
John Moore (Institute for Earth Observations, USA & NASA GLOBE Mission Earth, USA); Sriram Elango and Maxwell Friedman (Institute for Earth Observations, USA); Jin Kang (United States Naval Academy, USA)
constructed to both strengthen existing curriculum taught in class and incorporate topics commonly missed. Incorporating a wide variety of fields simply in its construction, domains such as computer science, mechanical engineering, spatial structures, electrical engineering, and material science are embedded within it, allowing students to explore these fields and build vital technical skills. The rapid development of CubeSats over the past two decades (1999-present), from research to significant mission integration, has
occurred. The capabilities of CubeSats continue to expand and are being deployed in a wide range of sophisticated scientific and commercial missions,
demonstrating that CubeSats have earned a legitimate place in the Aerospace Enterprise. Extending outward from these topics, the nature of satellites and their close intricate ties to big data is what will further thrust the topics learned to a higher, more advanced level. In this model, the collection of data from environmental aspects allows students to further understand such topics
as chemical compounds and concentrations, atmospheric phenomena, geographical data sets, imagery, and other physical science topics integral in both foundational and advanced knowledge of the scientific world. As this data is collected, students gain the ability to map, plot, deeply analyze and interpret the data, catalyzing the process of scientific thinking and experimentation.
The A3 Sat, not only intelligent in its design, serves as a gateway for students to immerse themselves in STEM fields far out of reach - developing schools and minds alike with the processes and methodologies utilized by the world's leading
scientists, and further establishing a foundation for the next generation to build upon.
Why The Trans Programmer?
Skye Kychenthal (USA)
A Unified Aviation STEM Program
Lyndsay Digneo (Federal Aviation Administration, USA); Holly M Cyrus (Research & Development & FAA, USA); Somil Shah (Federal Aviation Administration, USA)
Session Chair
Jay Roy
Track 11 — Works-In-Progress II
Retrieval of Data from the Database of a BCT-Voting System
Jacob Wolmer and Dylan Weiss (Tenafly High School, USA); Avimanyou K Vatsa (Fairleigh Dickinson University, Teaneck, USA)
Developing MATLAB Data Acquisition and Control Functions for the LABVOLT Electromechanical Training System
Hussein Abdeltawab (Burke Center & Penn State Behrend, USA); Keven Rall (Penn State Behrend, USA); Sohail Anwar (Penn State Altoona, USA); Mesude Bayrakci Boz (Penn State Hazelton, USA)
Engineering Project Activities Designed to Promote STEM Engagement
Zachary Dickinson, Tyler Seelnacht and Ramakrishnan Sundaram (Gannon University, USA)
Study of the eruption mechanism of Saturn's moon Enceladus plume using the mathematical model of a geyser (periodic bubbling spring)
Hiroyuki Kagami (Tokuyama University, Japan)
AI-Based Recipient Blood Type Matching Blood Transfusion Medical Device Design System
Atma Sahu (Coppin State University, USA)
Design and Implementation of an Educational Suit
Seyed Ebrahim Esmaeili, Abrar Aleidan, Aishah Almajedi, Abdulazziz Alqattan, Fatmah Alramezi and Amal Alateyah (American University of Kuwait, Kuwait)
Session Chair
Eric Sudano
Track 13 — Works-In-Progress IV
Credibility based Teaching Assessment in Smart Campus
Ruizhi Liao, Qianyu Ou, Wenjun Zheng and Zhan Shi (The Chinese University of Hong Kong, Shenzhen, China); Shuzhen Li (Nankai University & Binhai College, China)
Virtual summer research camp for incoming Freshmen students in STEM
Sanish Rai (West Virginia University Institute of Engineering, USA)
An Integrated Project-based Learning Approach in Engineering Technology Undergraduate Curricula
Mohammad U. Mahfuz (University of Wisconsin-Green Bay, USA)
Creating an Appropriate Computer Science and Computational Thinking Graduate Curriculum for K-12 Teachers: Context and Initial Results
Katherine Herbert (1 Normal Ave & Montclair State University, USA); Sumi Hagiwara (Montclair State University, USA); Elizabeth M Rogacki (Mount Saint Dominic Academy, USA); Thomas J Marlowe (Seton Hall University, USA)
Let the sunshine: learning about solar energy in equatorial Africa to facilitate the use of educational technology
Jorge Santiago-Aviles (University of Pennsylvania, USA); Geraldine Light (Walden University, USA)
Parallel Programming with Pictures - A Second Path (WIP)
Liam J Davis-Wallace and Wu-chun Feng (Virginia Tech, USA)
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.
Session Chair
Roger Ding
Track 12 — Works-In-Progress III
Applying Engineering Techniques on Non-Traditional Real-World Problems
Pamela A. M. Bogdan (College Dr & Ocean County College, USA); John Verderosa V (Ocean County College, USA)
A Collaborative Approach to Integrate Computational Thinking in an Integrated STEM Curriculum
Dazhi Yang (Boise State, USA); Shi Feng (Boise State University, USA)
A Microcredentialing Strategy for Crowd Sourcing Support Resources within an Introductory Engineering Course
Henry Griffith (University of Texas at San Antonio, USA); Angela Griffith (Wright State University, USA)
Accelerating Freshmen Engineering Students into Undergraduate Research Experiences
Ashley Larweck (The University of Texas at San Antonio, USA); Adam Hooker and Henry Griffith (University of Texas at San Antonio, USA)
Towards the Effective Selection of Guest Speakers within an Introductory Electrical and Computer Engineering Course
Henry Griffith (University of Texas at San Antonio, USA); Jonathan Flores and Ashley Larweck (The University of Texas at San Antonio, USA)
A Multi-Pronged Approach to Boosting STEM Engagement Through Low and No Cost Solutions
Michael W Kozak, Michael Kopack and Samantha Kupersmith (Lockheed Martin Advanced Technology Laboratories, USA)
Session Chair
Gennaro Avvento
Track 14 — Works-In-Progress V
Physical Meaning of Digital Signal Processing: What Students May Think and What They Really Should Know
Konstantin A. Grebenyuk (Saratov State University, Russia)
Engaging students in e-waste management through outreach programs
Sony Varghese (Sathyabama Institute of Science and Technology, India); Mahima Sharma (Indian Institute of Technology Madras, India)
Electrode Alternatives for Surface EMG Detection in 3D Printed Upper-Limb Prostheses
Betti Madahy Rodas and Erick Petersen (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala)
and may not be easily accepted by test subjects. Surface electromyography (sEMG) is commonly used for prostheses in the field of muscle-computer interface.
Professional electromyographs can be very bulky and expensive, with prices in the range of hundreds of dollars.
This work describes low-cost electrode alternatives for surface EMG detection.
A Survey on the Future of Industrial Internet of Things and How it is Increasing the 2020s Manufacturing Productivity
Manolo Enrique Benegas (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala); Erick Petersen (Universidad Galileo, Guatemala)
The use of IIoT within the manufacturing field is quickly developing in notoriety as producers start leveraging IIoT based technology such as Smart Factory Software to realize a better level of productivity, move forward the quality of products and minimize wastage of resources. With the market growth and usage of IIoT there has been a general enhancement related to productivity, thanks to smart sensors and predictive maintenance. The IIoT is considered as the future of manufacturing, and it is anticipated that will just proceed to develop in market size with an assessed 110.6 billion US dollars by 2025, compared to the actual 82.7 billion in 2021.
Maintenance 4.0 Applied To The Condition Analysis Of Rotating Electrical Engines: A Work in Progress
David Huertas and Erick Petersen (Universidad Galileo, Guatemala); Oscar Rodas (Universidad Galileo & Tesla Lab, Guatemala)
successfully led to the development of signal analysis techniques
for the processing of vibratory signals. Nowadays, most industries
within their predictive maintenance programs use the monitoring
and analysis of vibrations to establish the state of mechanical
health of the machines and most of their critical elements, preventing catastrophic failures. This article presents a methodology
for predictive and condition maintenance of rotation electrical
engines through vibration.
Industry 4.0 refers to the fourth generation of industrial
activity as a result of the fourth industrial revolution, the
rise of new digital industrial technology characterized by
intelligent systems and internet-based solutions. Two of
the characteristic features of Industry 4.0 are computerization
with the help of cyber-physical systems, also called embedded
systems, which monitor and control physical devices, and smart factories based on the concept of IoT (Internet of things). These systems communicate over a network, usually based on the internet, making the factory enable faster,
more flexible, and more efficient processes to manufacture
high-quality goods at a reduced cost.
Session Chair
Roger Ding
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