are actively using ROS as a tool [1]. These metrics aregrowing steadily year over year. While early adopters of ROS were graduate students or in-dustry users, increasingly, students and instructors are taking an interest in ROS at the under-graduate level [2] [3] [4] as has been explored at the masters level [5] [6]. However, even justinstalling ROS can be a daunting task for the uninitiated. This paper explores options for in-stalling ROS for undergraduate courses, offers recommendations, and points readers towardsadditional guides and resources.2.1 Importance of ROSROS has become a powerful staple of robotics research and development. ROS is a softwaresuite with efficient, modular, and easily customizable software tools [7]. It is free
CompetencyAbstractComputing systems face diverse and substantial cybersecurity threats. To mitigate thesecybersecurity threats while developing software, engineers need to be competent in the skill ofthreat modeling. In industry and academia, there are many frameworks for teaching threatmodeling, but our analysis of these frameworks suggests that (1) these approaches tend to befocused on component-level analysis rather than educating students to reason holistically about asystem’s cybersecurity, and (2) there is no rubric for assessing a student’s threat modelingcompetency. To address these concerns, we propose using systems thinking in conjunction withpopular and industry-standard threat modeling frameworks like STRIDE for teaching andassessing threat modeling
-Quzwini2 1. New Jersey Department of Transportation, New Jersey 08625, USA 2. Department of Electrical and Computer Engineering, Stevens Institute of Technology-Hoboken, NJ 07030, USA ABSTRACTCurrently, engineering students are only exposed to the theory of Fourier analysis in one of theirmath classes. They are not taught the rela�on between this transform and the frequencyspectrum of the �me domain data, how to find and plot its spectrum, or how to filter the data toremove unwanted noise and disturbance. Since a significant range of engineering applica�onsrequire analysis of the measured data in the frequency domain, students will need to fill this gapbetween
engagement data from the coded reports as well as their access pattern.Conclusion: The results of this project continue to show that the forensic biomechanics challenge problemusing the IDEAL framework improves students’ learning through increased engagement.Key words: Gamification, Active learning, Students’ engagement, Forensic biomechanicsIntroductionActive learning has been shown to improve student engagement levels and, consequently, enhance theirlearning through increased motivation and positive attitude toward the technical content [1]. Carefulimplementation of active learning strategies, such as problem-based learning [2,3] and semi-structureddesign projects [4], increases participation and students’ ownership of their learning, helping to
contextsimproves student learning and engagement and increase retention [1], [2]. Thus, to address theseissues, between the spring 2021 and spring 2022 offerings we redesigned the ModSim sequenceto add several specific connections between the systems studied across the physical labsequences.This work to integrate computational approaches in the materials curriculum is especiallyrelevant to share with other departments across the country given the recent national emphasis,through the Materials Genome Initiative and other programs, in using computational tools toenable rational design of materials [3]. In one example, CALPHAD was applied to design a new,cheaper alloy used to manufacture nickels [4]. Computational tools are crucial towards the goalof inverse
on two aspects: 1) identifying the core competencies using the University’sarchitectural engineering Program Educational Outcomes (PEO) aspirations, ABET outcomes,and National Association of Colleges and Employers (NACE) competencies, and 2) providing amechanism to integrate such competencies using a foundational architectural engineering courseat the University as a pilot. In the paper, we provide future directions for such integrations forcourses and probable suggestions for evaluating the effectiveness of these integrations onstudents' success and career readiness.IntroductionArchitectural engineering helps students gain practice and theoretical knowledge of theengineering design of high-performance buildings and their systems. The
underscores thesignificance of case-based learning in instilling ethical principles and critical thinking skills infuture engineers, ultimately contributing to the cultivation of responsible professionals in thefield.IntroductionIncorporating ethics into engineering education, particularly in senior design courses, has been atopic of interest and research, for example [1]-[6]. The Accreditation Board for Engineering andTechnology (ABET) requires that all accredited engineering programs must ensure theirgraduates possess the capacity to identify ethical and professional obligations in engineeringscenarios and make well-informed decisions. These decisions must consider the consequences ofengineering solutions in global, economic, environmental, and
course and became more engaged with the projects they were involved in. These resultsalso showed that employing an interdisciplinary approach to teaching an introductory CADmodeling course can have a positive impact on the students’ learning experience.1 IntroductionModern manufacturing processes, computer-aided design and modeling tools are increasinglyintegrated to provide features that enhance productivity in manufacturing and design. CADmodeling and design software applications are becoming increasingly necessary within industry,academia and even among freelance designers involved in creating new products and processes.Traditional instructional approaches in CAD and computer aided engineering (CAE) relatedcourses provide fundamental
SkillsetsIntroductionAcross the United States, biomedical engineering (BME) undergraduate programs havedeliberately designed curricula with a broad and diverse scope [1], [2]. This intentional approachaffords students the ability to pursue a wide array of career paths upon completing their education;however, programs have faced criticism for their efficacy in adequately preparing students forcareers in the field of biomedical engineering (BME) [3], [4]. Stakeholders (i.e., employers) in thebiomedical field have reported BME graduates’ expertise and technical skills to be limited,compared to other engineering majors. Importantly, recent efforts have been made to determinethe professional and technical skills that stakeholders in the biomedical field deem required
time the course is completed, therefore it is becoming imperative that we leverage the 0 This material is based upon work supported by the National Science Foundation under Grant No. 2022299latest advances in neuroscience that highlight the need to focus on building new neuron inter-connects via experiential learning design to form an Integral Engineer[7].The educational sector is currently facing several significant challenges. These include : 1)the implementation of remote labs [1], 2) the need for skills specific to the semiconductorworkforce [9], and 3) the development of soft skills that are crucial for succeeding in today’sjob market [14][27].This paper sets out with a clear and focused objective: to use 21st-century tools such
students at the epicenter of their learning journey[1][2]. PBL's roots can be traced back to the mid-20th century with the ideas of educationalphilosopher John Dewey. Dewey advocated for learning through experience and hands-onactivities, emphasizing the importance of connecting classroom knowledge to real-worldapplications [3]. In the 21st century, PBL has become increasingly integrated into educationalreform efforts globally. The emphasis on 21st-century skills such as critical thinking,communication, collaboration, and creativity has fueled the adoption of PBL as an effectivemethodology to develop these competencies [4]. The widespread availability and use oftechnology in education has further facilitated the implementation of [5]. Digital
engage in these processes as part of mathematicalmodeling, and how this approach can be useful for providing future recommendations forcurricula and learning outcomes alignment in engineering education.IntroductionThe challenges of the 21st century require students to engage in activities that enable them to“learn the importance of such decisions as what to measure, what to keep constant, and how toselect or construct data collection instruments” [1, p. 58]. This activities are especially critical forengineering students because engineers are required to develop measurement processes duringthe mathematical modeling of designs [2]. Despite the significance of developing measurementprocesses in engineering education, ABET student learning outcomes
research [1].People (rather than instructional resources) in general, have been shown to play a very large partin helping students begin their research. However, in a 2011 study that surveyed of 382 facultymentors, many reported apathy or antipathy toward seeking out or attending training on theinformation literacy behaviors which would help them stay up to date on research methods andtools across the research lifecycle [2]. This likely contributes to the fact that many students (907surveyed in the same 2011 study) report that their faculty mentors do not provide adequatesupport [2]. This leaves engineering graduate students often learning research skills ad hoc, evenin very well-resourced institutions. Librarians often receive specialized
, which are all vital in their respective fields.IntroductionThe Professional Science Master's (PSM) degree arose in the late 1990s to fill a gap betweenoverqualified PhDs and underprepared undergraduates in science fields [1]. PSM programsprovide graduate-level science training plus professional skills valued by employers [2]. Theadvantages of PSM degrees include career preparation, practical experience, high employability,networking opportunities, specialized knowledge, and lower cost versus a PhD. The PSM alignswith best practices proposed for master's degrees by higher education organizations [3], [4], [5].MTSU's PSM program (MSPS degree) meets the requirements for formal PSM affiliation [6].The interdisciplinary MSPS integrates science and
2019, our university Tecnológico de Monterrey, rolled out its new educationalmodel called Tec21 across all programs, including engineering. In this model, the semesterperiods were divided into three periods of 5 weeks each, where subjects from the previouscurriculum, which lasted 18 weeks, were condensed into a 5-week teaching period. Thisapproach was based on entirely focusing students on a thematic area (Fig.1).In the Tec21 curriculum plans [1-5], each thematic block is structured with several moduleson related themes and a challenge (linked project), which must be addressed by developingskills derived from the deployment of the modules. All challenges are linked to real-worldenvironmental problems through Educational Partners (companies
discussed the changes that would make them feel more welcome and includedwithin academia and their department(s) (cultural and/or infrastructural changes). They alsoprovided advice and recommendations to future queer and trans graduate students. The panelreceived overwhelmingly positive feedback, and the audience expressed their willingness andenthusiasm to learn and support queer and trans graduate students. Overall, the lessons learnedfrom the Queer and Trans Graduate Students Panel are as follows: 1) Provided an opportunity to inform about the specific obstacles that many queer and trans students experience in graduate education. 2) Contributed to the knowledge of designing, facilitating, and conducting a student experiences
2020 the National Academy of Scienceschallenged educators with a goal it stated “to reengineer engineering education” [1]. Thatreengineering involves asking the questions: “How can we make our processes more effective,more quality conscious, more flexible, simpler, and less expensive?” [1] One potential approachto making our processes more flexible and less expensive is by satisfying multiple requirementsof the ABET general criterion 7 for facilities with a single space. Criterion 7 states, “Classrooms,offices, laboratories, and associated equipment must be adequate to support attainment of studentoutcomes and to provide an atmosphere conducive to learning [2].” Educating the Engineer of2020 states, “Although its form may change from one
battlegroup [1].Earlier, a young firecontrolman assigned to the plotting room had fastened a video camcorder tothe bulkhead hoping to record the shore bombardment action. Little did he know that he wouldcapture forty of the most harrowing minutes experienced by the ship during the war. Theresulting footage showed sailors responding to multiple Iraqi missile attacks as well as asuspected chemical attack.Thankfully, there was no serious harm to the ship or its personnel. One of the missiles fell intothe sea, missing its target. Another was destroyed by the HMS Gloucester, a British destroyerescorting the Missouri, in the first ever documented ship-to-missile engagement during combat atsea. The chemical alarm that initiated the use of gas attack
. Finally, we pilot the forcebalance in an undergraduate mechanical engineering lab setting and find that students are able toexplore the setup, understand the load cell functionality, and use the system to measure drag on asphere. The force balance enables students to gain hands-on learning experience related to bothfluid mechanics and statics, and our user study shows that the force balance is durable throughclassroom use. The low cost, robustness, and high adaptability of the system makes it suitable forincorporating in multiple labs or for allowing student project teams to utilize the system in theirown experiments.1 IntroductionAccess to a wind tunnel enables students to gain real world experience with fluid dynamicsconcepts. This is
Mapping Systems (MMS) [1]With the recent update on world urbanization prospects [2] indicating that 55% of the globalpopulation resides in urban areas - a figure projected to reach 68% by 2050 - detailed spatialinformation becomes imperative for managing urban development. This necessity aligns with theconcept of smart cities, encompassing diverse definitions but ultimately referring to citiesequipped with intelligent services, extensive structural knowledge, and sustainability [3].MMS emerges as a valuable tool for acquiring spatial data within urban landscapes. Comprisinga set of sensors, these systems can collect data that represents 3D information from various urbanfeatures such as road signs, buildings, and facilities, as presented in
specifically, this paper answers the question: Which computer programminglanguage should be introduced first to novice programmers? The paper’s results are novel as theyprovide comparative insights into the viewpoints of faculty and peer mentors.Keywords: programming language, novice programmers, language choice, faculty perspective,students’ perspectiveIntroductionComputer programming is a fundamental skill for Science, Technology, Engineering, andMathematics (STEM) students for their future careers [1]. Particularly in engineering, noviceundergraduate students are often introduced to computer programming courses [2] in their firstor second years to develop computational thinking [3], problem-solving [4], [5] andmathematical modeling abilities [6
religiosity and serviceutilization among college students, with a particular focus on international undergraduateengineering students in the US. It seeks to answer several research questions: 1) What is theprevalence of mental health conditions and help-seeking among international engineeringundergraduates? 2) Are there gender differences in help-seeking among international engineeringundergraduates? 3) How do help-seeking (formal and informal) tendencies vary amongengineering undergraduates with different levels of religiosity?Design/Method: The study uses a logistic regression model to analyze data from engineeringundergraduate students participating in the Healthy Minds Study (HMS) for 2021-2022 toaddress research questions. The study considers
areas where its support may belimited. This information equips educators to make informed adjustments to their assessmentstrategies as needed.Keywords: ChatGPT, Natural Language Processing (NLP), OpenAI, Machine Learning (ML),Higher Education Institutions (HEIs).1. What is ChatGPT? In November 2022, ChatGPT was unveiled by OpenAI, an Artificial Intelligence (AI) researchlab, a non-profit organization dedicated to advancing digital intelligence for the collective benefitof humanity [1]. Positioned as a conversational AI interface, ChatGPT leverages natural languageprocessing (NLP) to engage in realistic conversations. ChatGPT is purposefully engineered toproduce text that emulates human conversation, constituting a significant leap forward in
rarely discussed in these courses. Furthermore, it is critical to look into how CE andCM students comprehend the relationships between social justice and our infrastructure systems,considering the increasing significance of these issues in our society. Comparing the awarenessof societal inequalities within resilient infrastructure systems between CE and CM students canhelp identify potential gaps in knowledge and understanding within these distinct disciplines.Therefore, this study aims to address the following research questions: (1) Which majors/groupbetween CE or CM students, demonstrates a greater awareness of societal inequalities withinresilient infrastructure systems? (2) Is there any relation between the understanding andawareness of
Transfer ShockAbstractIn this full student-led research paper, we investigate the social networks of both lateral andvertical engineering transfer students to determine how integrated they are at their currentinstitution, and how their social connectedness can affect the extent of their transfer shock.Transfer shock is a decrease in GPA that a transfer student might experience at their receivinginstitution and can affect student retention and likelihood of graduation. The research questionswe aim to answer are: 1) How do the social networks of lateral and vertical transfer studentsdiffer from one another? and 2) What is the correlation between a transfer student’s socialnetwork and their experience of transfer shock?To answer the research
stereotypes and perceptions retained by faculty and staff. Questions from thissurvey sought the level of agreement or disagreement regarding several known veteranstereotypes. Preliminary results from mixed model logistic analyses indicate that these biases orperceptions are active in non-veteran faculty and staff populations.1. BackgroundResearch on the student veteran educational experiences typically adopts an impoverishmentapproach to understanding student veteran deficits and challenges in the classroom [1]. Whilethis research posture is not malicious— it is empirically easier to study the absence of particularstudent behaviors or skills than student veteran educational and experiential assets—the result isliterature that focuses on effective
results.Logistical regression was used to evaluate the impact of academic majors.The results show that the most highly correlated variable was the Physical Fitness score of eachCadet. The article discusses different possible reasons for this relationship. Results also showmoderate to weak relationships between academic performance and any event at Cadet SummerTraining. These findings suggest that evaluations outside of a classroom environment could bemore effective at predicting future real-world success.KeywordsJob Preparation, Army, ROTC, Order of Merit List, Linear Regression, Logistic Regression 1. Introduction An age-old question is how to prepare students most effectively for post-graduation life. Inmost circumstances, it is difficult to
-division computernetworks course.IntroductionComputer Networks is an undergraduate course that is included in most curricula in thecomputing disciplines. It is listed as an element of computing knowledge 1 2 in the ACMrecommended curricula. It is usually the only course on the topic listed as a core course in mostprograms. The textbooks 3,4,5 are an indication of how broad and deep the topic is.In the last three academic years, the courses in the author’s department have had a failure rate of2%, which amounts to 16 students. These are students who would potentially be delayed in their4-year graduation timelines. Students who are underrepresented minorities have had a GPA gapof 0.28, higher than the historic average of 0.26. Active learning has
1 School of Engineering Education, Purdue University, West Lafayette, IN 2 School of Education, Iowa State University, Ames, IA 3 Nissen Education and Research Design, Monterey, CA 4 College of Education, Purdue University, West Lafayette, INAbstract Computerized Adaptive Testing (CAT) is a modern approach to educational technologythat can transform classroom assessment and self-assessment strategies. CAT selects questionsbased on ability, item difficulty, and item discrimination at the moment which significantly reducestesting time. So, by considering measurement error, CAT ensures
meaningful knowledge they constructed after course completion.Implications for this work include providing information to instructors on how students viewinnovative, problem-based work and the benefits to their development as novice engineers. Thisstudy also suggests that autoethnography can serve as a valuable research method in engineeringeducation, allowing for a direct examination of students’ own experiences and perceptions.IntroductionThe student perspective provides valuable insight that can be leveraged to improve engineeringcurriculum and retention rates. [1], [2], [3]. The engineering curriculum at the university levelserves to engage students in activities that meet university requirements, as well as satisfy theAccreditation Board for