throughout the program’s curriculum to complete a design project. This paperinvestigates the ongoing work of restructuring a traditional one-semester, 3-credit springcapstone experience in materials science and engineering into a two-semester fall (1-credit) andspring (2-credit) experience. During the restructuring of the capstone experience, the Human-Centered Design (HCD) framework, a method to formalize the design process in discrete stages,was integrated into the course content. Due to course catalog constraints, a 1-credit fall coursewas piloted in Fall 2022 as an elective for seniors (enrollment was approximately 30% of thesenior population); the traditional 3-credit course was still required of all seniors in Spring 2023.Aspects of HCD were
material to the conveyor belt, feeding the stock material to the engraving station, andretrieving and storing the engraved material. It consists of three function modules: 1) warehouseoperation module: a Dexarm equipped with a pneumatic suction cup tool to pick stock materialfrom raw material storage, transfer the picked stock material to the conveyor belt, retrieve theengraved material from the conveyor belt, and then place it in finished material storage; 2)material handling module: a Dexarm equipped with a pneumatic suction cup tool to pick upstock material that is moved to the engraving station by the conveyor belt, feed the stock materialto the engraving station, retrieve and place the engraved material on the conveyor belt, transferthe
ofthe most important types of information is biometric signature which is usually processed in theform of digital images. Therefore, cybersecurity professionals need to develop expertise indigital image processing. The paper analyzes the role of biometric information in cybersecurityand identifies the skills to successfully design biometric recognition techniques.IntroductionWith the exponential growth of digital and Internet technologies, threats to digital information aswell as computer systems are offering critical challenges to professionals and researchers [1].Hence the demand for cybersecurity professionals is significantly higher than available trainedpersonnel. As a result, the topic of cybersecurity is no longer considered as a branch
education spans nine years, after which students can choose a program inupper secondary education (ages 16–19). One of the electable programs is the Technologyprogram, in which this project took place at the end of year two during a course on webdevelopment and back-end programming. The school is located in a mid-sized Swedish town andhas approximately 350 students and is specialized in technology and tourism. Participatingstudents were 17–18 years old. The students were enrolled in the Web development 1 course,which includes, for example, basic web development technology, the fundamentals of carryingout a web development project, coding in HTML and CSS, image and video formats,cybersecurity, and legal issues (Skolverket, 2011).The participating
moderately incorporatedinto the course with low perceived impact.IntroductionLearning is at the center of every classroom. It is the process of acquiring new information orunderstanding, storing it, and later retrieving it for application in a process often called “transfer”[1]. In the classroom, this is seen as the passing of information from instructor to student. Thisinformation is held for short periods of time and processed in the working memory space of ourbrains; it can be manipulated through thinking [1], [2]. Each distinct piece of information isconsidered an element or “chunk,” and our working memory can only hold four to sevenelements at a time [1], [2]. Unlike working memory, however, long-term memory is nearlyinfinite with information
introduce the relevancy of spatial skills to engineering, current trendsin engineering students’ verbal abilities in the US through standardized testing, and preliminaryresearch that relates to technical communication skills, represented through phonemic andsemantic fluencies.Spatial Skills in EngineeringThere are numerous studies that have linked spatial skills as key predictors of students’ decidingto major in and succeeding in STEM disciplines [1]-[5]. Spatial skills have also been found to becritical for development of expertise in STEM [6]. Other research has linked spatial skills tosuccess in computer programming [7]-[8] and solving mathematical word problems [9]. Furtherresearch has established that there are differences in spatial skill
Cimino, New Jersey Institute of Technology Dr. Richard T. Cimino is a Senior Lecturer in the Otto H. York Department of Chemical and Materials Engineering at New Jersey Institute of Technology. His research interests include the intersection of engineering ethics and process safety, and broadening inclusion in engineering, with a focus on the LGBTQ+ community. ©American Society for Engineering Education, 2024 Initial validity evidence for a survey of skill and attitude development on engineering teamsAbstractThis research paper discusses an emerging project that 1) seeks to gather validity evidence for asurvey of engineering student teaming attitudes and skill
communities in the United StatesAbstractThis paper shares and compares the experiences of initiating and sustaining two graduatestudent-led international ethnic engineering education scholarly communities for Chinese andAfrican groups. Our goal is to reflect on our lived experiences and inspire future students andacademics to cultivate such communities to broaden participation and enhance researchcapability. We adopt the Community of Practice (CoP) as the theoretical framework and opt forcomparative ethnographic narrative analysis as the method in this paper. Specifically, we focusedon the following dimensions of two communities led by the two authors: (1) the origin andpurpose; (2) the characteristics; and (3) practices. Our findings suggest that
as Genderqueer/Gender Non-Conforming.The qualitative data was deductively coded to examine the three types of interpersonal interactions:interactions with course content, interactions with peers, and interactions with instructor. The datashowed that students’ interactions with instructors and peers positively influenced theirengagement in the online engineering courses. However, students’ interactions with the coursecontent gleaned mixed responses. Some participants said it helped them engage with the coursematerial and others said it did not help them engage in the course content.IntroductionIn recent years, college universities have seen an increase in online course enrollment [1-2]. In2005, online enrollment began to increase, with 3.2
to a certain extent, and the training mode has asignificant effect on the professional identity of PhD students in applied engineeringdisciplines, while it has no significant effect on PhD students in basic engineeringdiscipline.Conclusions: (1) There are differences in the professional identity of engineeringPhD students in through-type training and non-through training, and the professionalidentity of engineering PhD students in non-through training is higher. (2) There aredifferences in the professional identity of engineering PhD students of differenttraining types, and the higher the degree of coherence, the lower the performance ofprofessional identity. (3) There are differences in the professional identity ofengineering PhD students
, unsupervised machine learning, wireless sensor networks. He is currently lecturer at Department of Computer Science, University of Central FloridaDr. Pamela J. Wisniewski, Vanderbilt University Dr. Pamela Wisniewski is an Associate Professor in Human-Computer Interaction and Flowers Family Faculty Fellow in Engineering at Vanderbilt University. Her work lies at the intersection of Social Computing and Privacy. She is the Director of the Socio-Technical Interaction Research (STIR) Lab. She has authored over 150 peer-reviewed publications and won multiple best papers (top 1%) and best paper honorable mentions (top 5%) at ACM SIGCHI conferences. She has been awarded $4.73 million in external grant funding, including the NSF
sustainability. ©American Society for Engineering Education, 2024 Infusing Sustainability Into Diverse Courses and Programs Using Open Source Engineering for One Planet (EOP) Teaching ResourcesIntroductionClimate change, pollution, environmental toxicity, and biodiversity loss are among our mostpressing challenges today [1], [2]. These challenges can be addressed or exacerbated throughengineering activities, leading industry and agencies to increasingly seek engineers who are aswell-versed in technological expertise as they are in social and environmental sustainability andclimate action [3], [4], [5]. However, engineering students are not typically graduating with theskills, knowledge, and experiences needed to
2016 to 2019. He completed a Ph.D. degree in civil engineering, focusing on construction management, from Michigan Technological University in 2008. He has an extensive teaching background with 22 years of the academic experience at five different universities. Students and departments have always praised him for his outstanding teaching and research excellence. He has been involved in numerous professional societies to supplement his teaching and research, including ASCE, ACI, ASEE, ASC, ATMAE, and TRB. His research output has been well disseminated as he has published 100+ journal papers and conference papers. His research interests are 1) Creating Innovative Sustainable Materials, 2) Digital Construction, 3
graded exam, the students were given a laboratory assignment inwhich they interacted with ChatGPT-3.5 to obtain feedback on their MATLAB exam. Qualitativedata on the students’ experiences with the use of ChatGPT as a tool in studying were collectedand analyzed. The results revealed that while students found the capabilities of ChatGPTintriguing, they remained skeptical in the output and reasoning given in regard to their MATLABassignment.1 IntroductionIn November of 2022, OpenAI introduced ChatGPT, a natural language processing model, to theworld. Two months later, it gained 100 million users, making it the fastest growing consumer appin history [1]. The name stems from the model’s dependence on the Generative Pre-trainedTransformer (GPT
continuously monitor forhidden cameras, microphones, and GPS trackers in a room even while humans are away. Theunique aspect of the project is that it sends the sensor telemetry data to a cloud application thestudents build, using microservices, storage, and data models to identify invasive devices.Optionally, if an invasive device is confirmed, its telemetry data is cryptographically packagedas forensic evidence for law enforcement.Furthermore, the project resonates with modern software engineering practices, notably theemployment of cloud microservices to collect and model data used to protect personal privacy.Our presentation is bifurcated into two segments: (1) Project Overview: This section expounds on the concepts covered, details the
analytics is the process of inspecting, cleaning, transforming, and visualizing data with thegoal of discovering insightful and critical information for decision making [1]. The integration ofdata analytics in STEM education has had a profound impact on the advancement in every sectorof industries, government, and academia today. A workforce equipped with essential dataanalytics skills is crucial to maintaining the growth and security in nuclear energy area. Researchshows that data analytics skills are in high demand in order to generate data-driven, robustsolutions to solving the challenges that our society is facing today [2][3]. As major nuclearscience and engineering problems rely on predictive computational modeling and simulation
., compared to 2.6 million in India and 4.7 million in China [1].STEM literacy is critical to human capital competency for the economy [2]. Therefore,encouraging more high school students to aspire to STEM careers can increase the likelihood ofapplying for jobs in STEM fields. Because many internal and external factors may influence highschool students’ aspirations for STEM careers, previous research on this topic often employs atheory-driven approach to identify predictors from large scale survey (LSS) data and formulatehypotheses for statistical tests. Existing LSS datasets, such as the Education Longitudinal Studyof 2002 (ELS:2002), promise a comprehensive investigation of the factors that contribute to highschool students' persistence in STEM
typicalengineering course may not provide opportunities for students to learn and practice the diversityof practical skills they would use as practicing engineers. With the information presented herein,changes to course design and assessment can be made in communication-focused courses, andelsewhere in the curriculum, to target communication skills transferable to the workplace.Introduction and purposeAlthough the technical skills taught within engineering departments are likely similar to thosetaught within all engineering programs, professional skills are where graduates can stand outwhen entering the workforce [1-3]. Proficient communication in particular has been directlylinked to enhanced career progression [4], yet many engineering graduates lack
approach and consideration of the role of humans that are involved inall aspects of the system [1, 2].The U.S. Department of Defense (DoD) Digital Engineering (DE) Strategy [3], announced fiveyears ago, presented the departments’ goals to adopt more integrated digital modeling in theirsystems acquisition and procurement practices and operations and enable the use of digitalartifacts to improve communication across all stakeholders. The goal of transitioning atraditional design-build-test methodology to a model-analyze-build approach extends the role ofdomain-experts such as systems engineers, to become knowledgeable of the requirements andpractice of experts from other domains who engage with the system across its lifecycle. Thistransition is
usefulness. Results suggest that the case study’s animation and case analysiscomponents helped them to understand the steps involved in automating a process. A strongmajority of participants agreed that they would like more case studies like this one (85.7%) andthat the case study was relevant to their education (83.7%). Suggested improvements includeclearer instructions and explanations and a zoom function to make the details in the schematiceasier to see.1. MotivationAutomated system integration involves the design, interface, and troubleshooting of anautomated system—such as a robotic welding system, which integrates a robot, conveyor,fixture, sensors, and actuators for loading and unloading parts. As noted in earlier work [1], theability to
STEM courses can help students developcultural awareness as well as strategies to navigate the differences effectively.Keywords: undergraduate students, STEM, intercultural competenceIntroduction and BackgroundIn this era of the 21st century, science, technology, engineering, and mathematics (STEM)education has gained paramount significance. Projections indicate that the U.S. economy willwitness an addition of approximately 1.4 million STEM-related jobs by the year 2030 [1].Notably, the median wage for STEM occupations is roughly double that of other professions inthe economy. Consequently, higher education institutions advocate for increased enrollment inSTEM programs. The increasing globalization of the workforce and the collaborative nature
novel type of electric machine being developed at the University of Idaho requires the use of acontinuous annulus of high conductivity material bonded within a laminated core. Due tomaterials shortages caused by the COVID-19 pandemic in addition to supply chain snagsbecause of the offshore sourcing and development of materials such as copper and aluminum, ithas become expensive to create this annulus from copper. When considering aluminum,however, it has also become impossible to purchase a piece of aluminum of the desired extrudedprofile from an electrically conductive alloy. From sources [1] and [2] it is evident that thisproblem has been growing for many years and extends to manufacturers within and without theUnited States, who are often
emails. In this section, several hundred emails have been sent to date by theinstructor. We aim to develop the course through these interactions with the students’ Advisors,and we present results of a comparison of the results in “Intervention groups” (Spring 2022, Fall2022, Spring 2023, and Fall 2023) with the results in “Control groups” (Spring 2021 and Fall 2021sections that did not receive the emails). Preliminary results in Spring 2024 semester show thatclass attendance remains high; 100% of the students took Exam 1; approximately 10-20 studentsattend weekly Friday recitation sessions, and approximately 5-20 students attend weeklyMATLAB recitation sessions. A major finding of this study is that the interactions have helpedimprove student
design of PB-Lab engages students with active learning and authentic learning; theysee how what they are learning in materials sciences can be applied as working engineers.Students experience the interdependent and integrated nature of the materials developmentprocess in the lab and generate their own concepts about addressing global challenges. Insummary, PB-Lab engages students in identifying problems, developing potential solutionsthrough materials characterization and analysis in the lab, and delivering effectivecommunication in the form of lab reports or presentations. 1. Introduction Materials science (MER 213/lab) at Union College is a sophomore-level course integralto understanding the properties and applications of
surveys were administered throughout the quarter. Each time,students were asked to evaluate their comfort with their electronics skills and knowledge, as wellas how much understanding of electrical engineering they are gaining from the course.Additionally, the results of university-administered surveys that rank various aspects of the coursewere also included in the assessment. Overall, the findings support the fulfillment of the statedgoals of creating makers out of students and showing the breadth of electrical engineering.1 IntroductionWe find ourselves in a very interesting point in history, where electronics and electricalengineering are ubiquitous to a fault. Every modern device, with exceedingly few exceptions,contains at least one, if
the kit contents is shown in Figure 1. We selected the DMM AstroAI DM130B which we purchased in bulk on Amazon for $19. All students were required topurchase this kit for $120. To defray these costs, we used an open-source textbook at no cost tothe students. Figure 1. Example of the take-home kit, taken from the video.In addition, all ECEE undergraduate students are given a Digilent Analog Discovery 3 scope tokeep and use in other courses. Non-ECEE students enrolled in ECEN 2250 were allowed to rentan AD3 scope for the semester for $25.A series of 10 labs with two experiments each were created that demonstrated the principlesintroduced in the lecture. A 15-to-30-minute video was created for each lab part that showed
evolving educational contexts. It also advocates for a deeperexploration of how faculty experience influences these perceptions, ultimately promoting adynamic approach to teaching within the educational environment. Lastly, this study lays thegroundwork for future research investigating the intersection between faculty adaptability andthe ever-changing needs of students over time.Introduction and Literature ReviewThe perceptions that faculty have about their students can impact how they approach theirteaching [1]. Faculty beliefs are known to guide their instructional decisions [2] and influencetheir classroom practices [3]. However, while some faculty’s classroom practices are consistentwith their beliefs about teaching and learning, other
able to effectively engage a broader audience.1. IntroductionThe number of jobs in software development is projected to increase substantially over the nextdecade [1]; this increased demand will require many new workers to learn how to developsoftware. Traditionally, many universities and colleges have provided computer science degreeprograms that will prepare future workers. However, more scalable approaches like MassiveOpen Online Courses (MOOCs) could be an alternative – a more scalable approach to preparingthe next generation of software developers that might reach a broader audience [2]. Thesecourses can help to address rising demand for computer programming education and expandaccess to educational opportunities [3]. Unfortunately, MOOCs
forest models; entropy;computer adaptive testing; artificial intelligenceIntroduction Effective and impactful education is reliant on accurate and equitable assessment oflearning and proficiency. Large-scale and local assessments are used for determining admissioninto programs, for course placement, for determining which students have mastered courselearning outcomes, for reinforcing learning and providing feedback, for informing pedagogy andinterventions, and for developing self-regulated learning skills [1], [2], [3], [4]. Cognitive fatigue (CF) is a well-documented phenomenon characterized by diminishedperformance throughout the day, over the course of prolonged cognitive tasks, and even within thefirst few questions on single
underscore the importance ofconsidering personal factors in peer assessment design for team-based learning outcomes andfuture research in educational interventions.IntroductionThe development of effective collaboration within a team is acknowledged as an essential skillfor college students, with proven benefits for their learning [1], [2]. Recognizing its significance,various academic disciplines have integrated teamwork into their curricula, necessitating theassessment of its effectiveness [3]. Peer assessment, a crucial assessment method commonlyemployed in team-based learning courses, provides valuable feedback and enhances studentlearning outcomes [4]. As a specific method of peer assessment, peer rating entails teammembers assigning ratings