on our custom dataset, leveraging the knowledge ac-quired during pre-training on the COCO2017 dataset.Figure 4 provides a visual representation of the meticulous annotation process, highlighting the 21essential key points corresponding to the finger joints of a human hand. The fine-tuning processserves as a crucial adaptation mechanism, enabling the model to focus on accurately identifyingand tracking hand postures based on the distinctive features within our hand dataset. This not onlymitigates the data scarcity challenge and refines the model but also empowers it to deliver precisehand posture estimations, with potential applications in a diverse range of real-world scenarios. 2024 ASEE Annual Conference
incorporating computational tasksinto statistics education is one of them [11,12]. The mini-lecture and active learning model wasused by [11] in a data science course taught by faculty in statistics, while [12] recommended anemphasis on applications in a data analytics course. The use of real-world applications was alsorecommended by [13] in a physics programming course. In an inter-disciplinary course thatincluded students from "business, liberal arts, and engineering and computer science,” [14, p.1]reliance on cross-disciplinary collaboration and business applications was used to increasestudent interest. In their work to incorporate data science modules into multiple STEM courses,[15] encouraged data collection activities as well as visualization
the robot arm and were able to associate this withways in which the robot could be used to solve problems in the real world. One student said: My key takeaway is I still think robotics is very fascinating. I think the things that you can do with it are very impressive and the fact that you can take something virtual and make it so efficiently and precisely done in the real world is a very cool concept to me. (204)Another participant spoke on the applications of the robot in the real word: I think it’s interesting to see because we all know robots can replace humans, but it’s interesting to see how it can be used to cut down time. For example, in research, instead of you doing things manually you can get a robot to
. Firstly, the material taught in the classes is rarely culturally relevant. That is to say thematerial is typically taught in a manner that is removed from the social and cultural interests thatmake students passionate about their fields of study [3]. Secondly, Computer Science classes donot frequently offer a lot of opportunities for collaboration and real world application particularlyin their freshmen and sophomore classes. As a result, some students become disillusioned aboutthe nature of Computer Science work, assuming that the only kind of work that they will do willinvolve them writing code by themselves in a room.The final issue with Computer Science and computing based majors in general is that the classesonly typically employ a limited
more. Moreover, Swarm AI is an active area of research,including development of reinforcement learning techniques for control5 and overcomingperformance loss during the transfer from simulated to real environments 6. Swarm AI has variedapplications, from autonomous vehicles, drones7, logistics8, entertainment, national security,disaster response, to many more critical areas. Swarm AI is an ideal area for learners to developcritical skills in emerging AI technologies and real-world application spaces, but has oftenremained inaccessible to new learners.Several projects have developed swarm testbeds, including for educational contexts. Examplesinclude the Robotarium9 for remote swarm algorithm development, as well as platforms forindustrial swarm
;M University-Corpus Christi. She is interested in multidisciplinary research in imaging applications using a variety of imaging modalities, including thermal imaging, hyperspec- tral imaging, and other digital imaging that engage targeted sensors, spatial and spectral data processing, pattern recognition and classification. She has a special interest in energy generation and real-world ap- plications, as well as pedagogical methods in teaching and learning.Hemanth Kumar Reddy Bhimavarapu, Texas A&M University, Kingsville Hemanth Kumar Reddy is pursuing master’s in computer science as well as working on campus as a Graduate Research Assistant in the Electrical Engineering and Computer Science Department at Texas
"Hello-world" app with a button that talks the message stored within the app, a "To-Do list" app that allows students to store and manage a list of daily tasks, a "Tiny-banking" appthat simulates a concise banking system with a default balance of 200 dollars and buttons forwithdrawals and deposits, and a game of "Tic-Tac-Toe" are just a few of the applications thatstudents built. Each of these applications allowed students to use their newly acquired knowledgeand see how the ideas they learned, in theory, could be used in real-world situations.Students learned about cryptography's fundamentals through practical exercises at theCryptography Lab. Students' understanding of encryption and decryption algorithms wasimproved by these exercises
exam types were introduced tostudents in Fall 2022: closed digital resources and open-resource. Results showed no significantscore increase with open-resource exams. However, a negative correlation emerged betweenscores and digital resource access, especially in the first exam. This correlation weakened insubsequent exams, suggesting changing content influenced resource usage. The findings suggestthat open-resource exams, mirroring real-world scenarios, can alleviate student anxiety andfoster practical learning. The findings encourage a reevaluation of digital examination practices.IntroductionExams are important instrument of student assessment, providing educators with valuableinsights into students' comprehension, retention, and application
was designed to give students hands on experience on Fall safety on a virtualenvironment which can save money to bring them on the worksites to get real life experience.Also, students needed to aware of equipment needed to address this Fall safety. Different Fallsafety scenarios are created in the virtual world and students participated those events. In total 23 students participated in this work by enrolling to course title Offshore Fall &Safety Inspection course which was offered in Spring-2022 semester. The Fall Safety modulesoftware training developed by Humulo Engineering software company is used for this training.Figure-6 is showing that students were getting Fall Safety training using VR headsets (attachedwith heads) and
. The course curriculum blends a rigorous theoretical foundation with a unique”tutorial-based” practical experience. In the first segment, the fundamentals of CFD are explored,emphasizing the numerical solution of differential equations using the finite volume method.Drawing inspiration from the renowned book of Versteeg and Malalasekera 6 , “An Introduction toComputational Fluid Dynamics: The Finite Volume Method,” students gain hands-on experienceimplementing numerical solutions for 1D and 2D diffusion and convection-diffusion equationsthrough Python programming.Transitioning from theoretical foundations to real-world applications, the second part of thecourse equips students with practical experience using industry-standard commercial
difficult Typically less difficult Benefits Can lead to publications and Can lead to job opportunities and conference presentations scholarships4.2 Limitations and Future DirectionsThe study emphasizes practical application over theory. While valuable, a strong foundation intheory is also crucial for deeper understanding and problem-solving in cryptography. The studydoes not address the long-term retention of knowledge gained through the scavenger hunt. Futureresearch could investigate whether students retain the cryptographic principles they learned duringthe activity and whether they can apply them effectively in real-world scenarios over time. Toevaluate the
throughout the lectures aswell. The students were also given information on the fundamentals of AI/ML and securityapplications. The lectures were very informative and used examples from the real world to conveythe topics. It was discussed in detail how cybersecurity works on a fundamental level. Studentswere also aware of issues like password security and online privacy. 4. Lab sessions Students had the opportunity to use the cybersecurity modules practically during lab sessions.Students used MIT App Inventor to develop applications, and they worked on the applicationsenthusiastically. Through these lab sessions, they had hands-on experience with data encryptionand decryption, network security, different malware forms they would encounter daily
solutions to real-world problemsand make meaningful contributions to society. the integration of low-code development into academic curricularepresents a transformative shift in education, offering students new opportunities to engage with technology anddevelop practical skills in software development. Low code finds extensive use across various industries, including academia, where it empowers students andprofessionals without extensive IT backgrounds to create custom applications and can equip learners withpractical, hands-on experience in application development, preparing them for the demands of a rapidly evolvingdigital landscape. By eliminating the need for intricate coding skills, low code platforms democratize softwaredevelopment, making
[46], while toddlers developfundamental cognitive skills around 18 months and can comprehend content with characterswho speak directly to the audience [52]. Studies have shown that preschoolers can apply whatthey see on a screen to real-life situations, and as they grow older, they become moreproficient with technology, leading to increased technology-based benefits [59]. Similarly, ifschool-age children enjoy technology, research shows they are more likely to devote time tolearning it, which can increase their technological skills and abilities [66]. Different types of technology require unique cognitive skills. For example, videogames require a user to understand analogies and have applicable processing speed anddeductive reasoning
well-suited to large, real-world projects and lab assignments. Advanced zyLabsAsupports industry-standard IDEs, custom package installs, use of command-line tools, having large data files in the lab, and much more. Tools such as git/GitHub, vim, and programming language compilers/interpreters are all available in the lab’s interactive Bash console session. Advanced zyLabs allows users to start web servers and create full-stack web applications with React, Angular, Node.js, and Django. Advanced zyLabs even allows users to access the Linux machine’s desktop so they can build desktop GUI applications. Figure 2: Advanced zyLabs web programming lab with IDE on top, browser console in bottom-left, and
apply them [13]. Likewise, ML isseen as a difficult topic to learn and understand, one that cannot be attempted without years ofeducation in computer science and mathematics. In short, most engineering faculty and studentsdo not know where to begin when implementing or teaching ML in practical applications. Thispaper introduces a course that attempts to fill some of these gaps for our engineering students.Course contentIn spring of 2022 the author taught a course at Louisiana Tech University titled “Machine Learningin Predictive Maintenance.” The purpose of this course was to introduce engineering students tomachine learning concepts centered on a real-world application of the technology. Nine studentscompleted the course, five from Mechanical
, engineeringinstructors must provide opportunities within the classroom for students to acquire relevant skillsand knowledge that will allow them to adapt and excel in their future careers.GAIs offer a unique opportunity to improve engineering education practice and transformengineering pedagogy and assessment. For instance, GAI tools can provide real-time feedbackand personalized learning experiences for students. They can also enable students to simulatecomplex engineering scenarios and problem-solving tasks. Engineering educators can use GAItools in engineering design projects to enhance students’ critical thinking skills and help studentsbetter understand real-world engineering challenges. There are a multitude of yet to bediscovered applications and
rangedfrom 1 (strongly disagree) to 5 (strongly agree), providing a quantitative measure of userresponses to the following questions: 1. I find the virtual lab interface is user-friendly for conducting experiments. 2. I am able to comfortably navigate and interact with equipment in the virtual lab, such as oscilloscopes and function generators. 3. The virtual lab is effective in simulating the real-world laboratory experience. 4. The virtual lab enhanced my understanding of circuit concepts compared to traditional methods. 5. I am able to complete the first lab based on the provided lab instructions. 6. I am satisfied with the quality and accuracy of the simulation results in the virtual lab. 7. Overall, I have had a positive
required prior knowledge, (3) learning community support availability, (4) suitabilityfor undergraduate learning, (5) computational speed, and (6) cost including both the hardware costand the subscription services cost. Based on the results of the analysis the tested AI computingdevices are ranked for use in various levels of undergraduate curricula. The goal is to provide thefaculty interested in developing their own AI labs with some guidance in choosing appropriate AIhardware from an experimental perspective.1. Introduction With rapid advancements in artificial intelligence (AI), AI applications are becomingubiquitous throughout the world. Many businesses and even entire countries are placing AIdevelopments high on their lists of
' understanding of ambiguous mathematicalconcepts by offering practical contexts [10].Figure 1 shows the concreteness-fading approach in the ML4Math program. During the PhysicalRepresentation phase in our program, students explore image classification applications in real-world situations, such as object recognition in self-driving cars and automated photocategorization. Another activity, ‘sketch-guessing’, involves groups of three students; onestudent sketches a chosen image, another describes it using geometric concepts, and then thethird guesses the original image based on these clues. In the Pictorial Representation phase,students explore the conversion process of colors in images to numerical values, exemplified bygrayscale transformation. This
outcomes and improve student engagement. The integration of AI tools has the potential to significantly impact student learning, bridging the gap between theoretical knowledge and practical application. This paper explores the impact of AI tools on student learning in engineering education, particularly in civil engineering. AI tools offer numerous benefits in engineering education, providing students with interactive and immersive learning experiences. These tools enable students to apply their theoretical knowledge in real-world scenarios, enhancing their understanding and problem-solving skills. A survey was distributed to engineering students in civil engineering courses to gather feedback on the effectiveness of using AI tools, allowing for
present provides a holistic approach that goes beyond the classroom andensures that skills acquired in the course are applied in other courses and stay relevant to industrystandards and certifications. The reinforcement of concepts and applications of services in senior-level courses allowed the students to build prototypes of what a service such as IaaS or PaaS wouldentail in the real world. The students acquire technical skills and master the much-needed softskills such as team formation, project monitoring and evaluation, and project and accountmanagement, among many others.By allowing graduate TAs to deliver the hands-on modules, our students were very responsive andinteractive with the instructor. The discussion sessions conducted using Zoom
moved from theory toreal-world applications, and the need for skilled engineers has grown. Therefore, many collegesand universities are strategizing ways to provide students with hands-on experiences to developthe needed practical skills in industry. One of the pillars of I4.0 is human-machine interactionwhich includes robotics and automation. Undergraduate degrees need to provide appliedknowledge of robots that use modern controllers and other integrated hardware rather than theclassic robotic design. The curriculum should provide the students with real-world experienceswith real hardware. This paper presents the steps of designing and constructing a reconfigurableand affordable industrial robotic arm platform that can be used to teach
companies in the Midwest. In addition to one U.S. patent, Schilling has numerous publications in refereed international conferences and other journals. He received the Ohio Space Grant Consortium Doctoral Fellowship and has received awards from the IEEE Southeastern Michigan and IEEE Toledo Sections. He is a member of IEEE, IEEE Computer Society and ASEE. At MSOE, he coordinates courses in software verification, real time systems, operating systems, and cybersecurity topics. ©American Society for Engineering Education, 2024Increasing Faculty Cybersecurity Experience through Externship ExperienceAbstractIn modern world, cybersecurity has become an increasingly important field. Graduates withexperience
tools and methods to gather and analyze programming artifacts and understand student programming patterns in introductory computing courses. Research indicates that students lack the problem-solving skills to apply strategic knowledge to novel problems in real-world contexts. These challenges have led to a need to automate methods to identify what programming concepts students struggle with, identify at-risk students, and understand what metacognitive strategies and patterns students use to solve programming problems [5, 12, 13]. By developing methods for early identification, we can give instructors time to intervene and provide the appropriate level of feedback, improving a student's ability to succeed during the most
are being done in the latest reviews 29,23 . These tools are instrumentalin supporting visual and experiential learning methodologies. They allow students to engage ininteractive simulations, which can replicate real-world scenarios or abstract CS concepts, therebyenhancing understanding and retention of key ideas 37,30 .Computer Programming Educational Games (CG): Educational games in computerprogramming offer an interactive and engaging approach to learning programmingconcepts 12,35,47 . These games often incorporate problem-solving and critical thinking elements,making learning both enjoyable and effective. By presenting programming challenges in a gameformat, students are encouraged to develop their skills in a playful yet educational
of data scienceunderscore the complexity and subsequent disagreement regarding the definition of the term.Data science has no official definition [11]. Cassie Kozyrkov, the Chief Decision Scientist atGoogle, defines data science as the use of data to make informed decisions, with a focus ontechnical and business skills to solve real-world problems. She also highlights the importanceof understanding the limitations and biases in data, as well as the ethics of data-drivendecision-making and size of the data set [12]. Dhar, in his book Data Science for Business,defines data science as a field that uses data, algorithms, and systems to extract knowledge andinsights from data in various forms. He explains that data science is not just about
port any part of this data science education framework into their owninstitutions. The goal is that this alleviates some burden from professors adopting this into their owninstitutions. Five scoping principles were established to align the created materials with the project goals.They are: • Establish the curated training programs by targeting them towards undergraduates at the intersection of data science and engineering, • Establish materials in a “plug-and-play” fashion for easy adoption into existing curricula without the need to revamp or recreate materials at a fundamental level. • Establish at least one dataset from each industry and community partners to ensure real-world practical application and
students agreed or stronglyagreed that the system enabled them to identify areas for improvement in their interviewpreparation. The results from this work could be valuable for educators and administratorslooking to enhance their curriculum and integrate new technologies to improve the careertrajectory of students. We also hope to raise awareness of the effectiveness of using virtual realityas a career training approach to help students combat anxiety and gain practice usinglow-pressure interactive scenarios.1 IntroductionAs of March 2023, roughly 5.8 million individuals were seeking employment in the United States[1]. Although the hiring process can be intimidating for all applicants, it can be especiallydaunting for those new to the job market
question (such as a chapter’s worth of material) to better refine the response to thestudent. We also implement frequent and customized Q&A buttons, such as simplifying aresponse, providing prerequisite information, providing a real-world example, etc. Thecustomization buttons allow the user to provide their own frequently asked questions, such as“Explain it to me like I’m a 5-year-old”.Study impact includes feedback from eNotebook’s usage analytics, where automated personalizedquiz scores will be correlated with tracked study habits, and suggested changes will be offered byeNotebook to improve academic performance. Templates from various study methods will beavailable, as well as shared libraries of student-customized versions of eNotebook