as perceived coping strategies thatmay be used instead of seeking professional mental health help.A diverse group of 33 engineering undergraduate students were a part of the comprehensive studyon engineering mental health help-seeking behavior. For this study, qualitative data was analyzedto address two specific research questions: 1) What are the main sources of stress that engineershave experienced in their engineering training? and 2) What coping strategies have studentsdeveloped as an alternative to seeking professional help? Several common perceived stressorswere identified including an unsupportive and challenging engineering training environment,challenges in time management, and academic performance expectations. Perceived
University pursuing a Bachelor’s Degree in Mechanical and Aerospace Engineering and is expected to graduate in May 2022. His research interests focus around the study of spatial ability with an emphasis on identifying patterns of spatial strategies and measuring spatial ability in blind and low vision populations.Gary M Timko (Research Assocaite)Natalie L ShaheenWade H Goodridge (Associate Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.comIntroductionSpatial ability can be defined as the measure of a cognitive ability to generate, retain, retrieve,and transform well-structured visual images [1]. Various constructs of spatial
spectrum disorder (ASD). With earlier diagnoses andcomprehensive support in secondary school, more students with ASD are enrolling in science,technology, engineering, and math (STEM) curricula in college [1-3]. Students with ASD canencounter many obstacles when entering college [4]. Despite academic success in thecoursework the student with ASD may face distinctive challenges in the classroom, such assensory issues, or other needs like organizing assignments, time management, and peermentoring, that are not addressed by traditional accommodations. All these challenges impactoverall performance and present an impediment for the students to engage in the overall collegeexperience. At Arizona State University we have developed a program for
Assessment of Belonging among Computing StudentsAbstract Creating a Computer Science and Software Engineering Department that supports stu-dents with diverse identities and backgrounds is essential to creating a computing workforce thatreflects the world at large. Inspired by the work of Metcalf et al.’s survey conducted at the Uni-versity of Illinois [1], we use the same methods to examine the state of our computing depart-ment with respect to issues of inclusive climate and student sense of belonging, which have beenshown to be important for retention in STEM fields [2, 3, 4, 5, 6, 7, 8]. We use the four areasthat contribute to belonging based on the work of Rainey et al. [9] along with a fifth category oflearning environment in
thissoftware in real engineering companies. The students were immersed in construction companies,as interns on construction sites. Our research goals were to study the students’ learning and anyimpacts on the companies’ practices; in particular, how new communication skills, tools,symbols, concepts, and procedures disseminated in both directions. Open-ended surveyresponses from the years 2017, 2018, and 2019 were analyzed using the constant comparisonmethod to allow themes to emerge from the data. The analysis of these data shows 1) Throughthe design and prior training of workers, it generated a psychologically safe learningenvironment for students in companies. 2) students recognize they establish a clear connectionbetween the objectives of the
diagnostic troubleshooting.Each SETE experience increased in complexity, with SETE 1 involving a discussion with onestudent, SETE 2 involving a discussion with a team of three student avatars, and SETE 3involving a discussion with five students working in three teams (one student worked alone).Participants were six PSTs majoring in middle school education who engaged in each SETE aspart of their engineering methods course. We share preliminary findings about (1) the range ofteaching moves the PSTs employed in SETE 1 and 2, and (2) how helpful the PSTs perceived theearlier SETEs to be when preparing for SETE 3. Findings indicated that PSTs used a variety ofmoves, some of which likely supported and some of which may have hindered studentsensemaking
settings. To address this objective, we are designingand developing an online game, called Zebel: Genesis. The game coupled with a series of pre-and post-assessment tools will be used as learning materials in a graduate-level constructionscheduling course in the Department of Civil, Environmental, and Ocean Engineering (CEOE) atStevens Institute of Technology to collect empirical evidence for qualitative and quantitativeanalyses. The design of the game is based on the Constructivism learning theory. TheConstructivism learning framework for gamification that forms the foundation of our gameplatform consists of six essential elements: (1) modeling; (2) reflection; (3) strategy formation;(4) scaffolded exploration; (5) debriefing; and (6
courses.Keywords.Neurodiversity, Social media analysis, Reddit, Workplace.1. IntroductionSocial media analytics and digital ethnography studies are promising to characterize humanbehavior [1], [2] since the analysis of users' posts enables researchers to understand individualperceptions without explicitly and directly intervening with end users in their daily lives. Amongnumerous social media channels, Reddit stands out as an online discussion forum that is popularfor community members to discuss online sensitive topics of interest, such as mental healthconcerns. The advantages of online discussion forums are that the platform is free, is continuouslyavailable for users to access it, and the members' posts are anonymous, which reduces the fear ofsocial stigma and peer
terms34 in university statements. Common themes emerged through an analysis of five of these35 institutions: the University of Virginia (UVA), Duke University, Cornell University, Stanford36 University, and the University of Michigan. These universities typically characterize diversity as37 the ways in which people differ, including the characteristics such as age, religion, disability,38 sexual orientation, education, etc. that differentiate one individual from another. Equity is © American Society for Engineering Education, 2023 1 2023 ASEE Southeastern Section Conference39 broadly defined as fair treatment, access, opportunity, and advancement for
Lim1 and Katie Gulliford2 1 Lecturer, School of Environmental, Civil, Agricultural and Mechanical Engineering, University of Georgia 2 Executive Director, Strategic Initiatives, Tacoma Community CollegeAbstractMany colleges decided to go online for the Spring 2020 following the restriction from thegovernment to have in-person classes due to the COVID-19 pandemic. This study investigates theeffectiveness of online teaching for a Statics course compared to blended teaching methods usingresults of a concept inventory (Concept Assessment Tool for Statics, CATS) test. These resultswere taken from students (11 – 20 students on each observed group) attending Tacoma CommunityCollege before and
material forlearning the impacts of the span of control of managers, and level of specialization of workers oneffectiveness and efficiency of organizational structures.Additionally, this study examined effectiveness of gamification on improving cognitive learningof the students.Description of the GameIn this activity student groups were asked to produce USA flags with the provided material. Thegoal was to produce as many qualified flags as possible within 15 minutes. There were twogroups in this game:Group 1: Each student worked independently to prepare the flags which included drawing thestripes and the stars. One student served as the team leader who was responsible to control thework process and validate the quality of the flags. The team
understand what quantum technologies are? Me neither, at least not until I had this conversation with Profs. Pilgyu Kang and Patrick Vora, both members of the leadership team for Mason's Quantum Science and Engineering Center, QSEC. In this episode they give examples of quantum science and engineering applied to materials, sensors, and computing, explain what quantum researchers do, and discuss how to prepare for a career developing quantum technologies.MetricsThe podcast itself has a small following. Table 1 provides a list of the previously described eightepisodes released as of this writing, including episode release date, length, and number of plays.Episodes were promoted via the
Development Workshop for New Teaching Assistants Jill K. Nelson, Jessica Rosenberg, Mark Snyder, and Robert Sachs George Mason University, Fairfax, VAAbstractThis paper considers a training workshop for new graduate teaching assistants (GTAs) at a publicResearch-1 institution. It describes the workshop structure and discusses the perceptions of GTAswho participated in the workshop. The workshop is part of a larger effort to encourage evidence-based practices in gateway courses and was designed to give GTAs a basic understanding ofactive learning, student engagement, and related topics. Workshop participants were asked tocomplete a survey that asked them to rate each of the workshop sessions, indicate how
imagination fordecades before we had the tools or technology to enact it in real-world settings. AI has appearedin popular culture through books, television shows, and music, “illuminating human'scomplicated fears and yearnings towards technologie”"1. However, over the past decade,technology has advanced to a point where artificial intelligence can realistically do some of theactions book authors wrote and movie producers directed. The advancement of AI technologieshas rapidly introduced changing levels of complexity, making it challenging to describe to theordinary person. In addition, there is a level of obscurity that AI sits behind: does AI refer to thedecision-making process, the algorithm, or the system as a whole? Perhaps AI refers to all
Multi-Disciplinary Introduction-to-Engineering Courses and Unified-First-Year Engineering Programs Gregory J. Mazzaro1, Kevin L. Skenes2, and Timothy A. Wood3 1 Department of Electrical & Computer Engineering 2 Department of Mechanical Engineering 3 Department of Civil & Environmental Engineering The Citadel, The Military College of South Carolina 171 Moultrie St.; Charleston, SC 29409AbstractTo better align the expectations of incoming freshmen with their choice-of-major, the authors
with design andmanufacturing activities. Too much focus on these “hands-on” activities, however, can also leadstudents to be unprepared for traditional engineering roles. This study will present thedevelopment of a survey to gather perspectives from industry representatives on the importanceof engineering science and analysis in undergraduate ME education.KeywordsCurriculum development, mechanical engineering, industry perspectiveIntroductionThe role of engineering science and analysis in engineering education has been debated for manydecades. In a review of the history of engineering education, Seely 1 states that there was a shiftaway from apprenticeship training to formal university training soon after the civil war. He goeson to list how
community. He also has an interest in engineering education research, particularly in student motivation and future faculty development. ©American Society for Engineering Education, 2023 2023 ASEE Southeastern Section Conference 1 An Assessment of the Effectiveness of Group Work in a Mechanical 2 Engineering Program 3 Elizabeth N. Whitehurst1, Nathaniel A. Hyams2, Morgan K. Green1, and Matthew W. Priddy1 4 5 1 Department of Mechanical Engineering, Mississippi State University, Mississippi State, MS 39762 6 2 Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS 39762 7 Abstract 8 Group work has
students toensure a good representation of their procrastination behavior (e.g., when an assignment was sentwith respect to the due date of the assignment). However, if the workload increases, theprocrastination behavior will likely change because of the additional work. Therefore, we used thefollowing criteria to select the procrastination features: © American Society for Engineering Education, 2023 (1) does not require extra work for the student (i.e., it is extracted as part of the normal student learning experience and does not require an additional survey or data entry by the student) (2) can be relatively easily extracted from a learning management system (e.g., Blackboard) (3) it is objective, factual and
, Technical University of Cluj – Napoca, RomaniaDr. Stephen Hill, Mercer University Stephen Hill earned his BS in General Sciences from Morehouse College and his BSME, MSME, and Ph.D. from the Georgia Institute of Technology. He is currently an associate dean and associate professor in the School of Engineering at Mercer University. He worked for the oilfield services giant Schlumberger for 14 years before. ©American Society for Engineering Education, 2023 2023 ASEE Southeastern Section Conference Assessing Correlation between Erosion, Wear and Hardness Behavior for Polymers, Metals and Ceramic Coated Metallic Surfaces Dr. Dorina Mihut 1, 2, Dr. Stephen
student matriculation.ME Elective Offerings and EnrollmentOne of the initial concerns was how this would impact the ability of the department to offer MEelectives. Figure 1 attempts to show the impact of this policy. Seniors are defined as studentswho have earned more than 90 credits at the start of the semester. Many of the ME electives arerestricted to senior standing, though some exceptions are made, and the electives are shown inthe 4th year of the sample schedule. The number of electives offered indicates how many distinctsections were offered that semester. The number of electives is mostly dictated by enrollment assections with fewer than 12 were typically cancelled and students encourage to register for otherelectives. Total elective
study via a survey distributed to seventy-one students who tookthe two-course sequence. The survey consisted of the following questions:Question 1: I think thermodynamics and fluid mechanics are not related and they should betaught as separate coursesQuestion 2: I think thermodynamics and fluid mechanics are related but they should be taught asseparate coursesQuestion 3: I think thermodynamics and fluid mechanics are related and they can be taught in ablended courseQuestion 4: The two subjects can be taught in a blended course, but the professor should coverthe topics of each subject separately rather than alternating between them over the semester Question 5: In a blended course, I think the thermodynamics topics have to be covered before the
). Engineering Education and Training. Ronald Cox edition, Engineering Ireland, Cork. Collins Press, p.366 Downey, G.L. (2005). Keynote address: Are engineers losing control of technology: From “problem-solving” to “problem definition and solution” in engineering education. Chemical Engineering Research and Design, 83(A8), 1-127 Froyd, J., Wankat, P., and Smith, K. (2012). Five Majors Shifts in 100 Years of Engineering Education. Proceedings of the IEEE. Vol.100, May 13, 1344-13608 Grayson, L.P. (1980). A brief history of engineering education in the United States. IEEE Transactions on aerospace and electronic systems, AES-16(3), 373-392 2023 ASEE Southeastern Section Conference9
following: a-blood circulation,within the body and within the tumor; b-transport across the vessel walls and into the surroundingtissues; and c- transport through the interstitial space of the solid tumor.1 Therefore, a drugtreatment molecule may face either or both diffusion and convection when travelling from onedelivery site towards the location of the tumor1. Due to the microcirculation of blood in the arteriesof the human body, convective transport is present in such conduits because of the “bulk” bloodmotion and any solute will undergo its movement. Diffusion is present since the drugs moleculesare not uniform across either the arteries and/or he tissue surrounding the tumor.2 Therefore, © American Society for
, Duoduo Liao1, Larisa Olesova2, Mihai Boicu1, Harry Foxwell1 1 George Mason University, 2University of FloridaAbstractGraduate Engineering students must apply concepts and methods of research when they enter theengineering workforce. This study developed research learning modules to guide students inapplied research. The modules were implemented in the Master of Science program and exploredengineering students' perceived cognitive presence as they completed them. Additionally, itexamined whether students perceived that the modules helped them apply research concepts andmethods at the end of the course. A post-course self-assessment survey about perceived
wouldphysically separate a student laptop from the device under test and also has the potential tosimplify software debugging by shifting at least some software onto a standard computingplatform.KeywordsRaspberry Pi, RTL-SDR, intermediate computing devices, mini PCHeadingsThis work in progress evaluates two possibilities for potential use as an intermediate computingdevice for undergraduate labs in electrical and computer engineering: (1) a Raspberry Pi 4 B and(2) an inexpensive Celeron-based mini PC. The specific lab activity being evaluated in this paperis a software-defined radio (SDR) activity of the type that might seen in an undergraduateelectrical engineering communication systems course1,2. MATLAB is one of the typical programsthat is used to
format and also in providing collaborative projects with theSchool of Architecture. For future work, the authors hope to produce empirical data to supportthe results of curriculum containing critique components to justify the additional contact times inthe studio generally needed and to show more in-depth understanding of the curriculum. Theeventual results could provide superior skilled program graduates, ready for industry in theUnited States and the World.References 1. American Council for Construction Education (ACCE) website, (2022). Document 103. Downloaded on October 14, 2022, from https://www.acce-hq.org/file-share . 2. Anderson, L., Krathwohl, D., Airasian, P., Cruikshank, K., Mayer, R., Pintrich, P., Raths, J., &
the 2022 STEM Innovator award from the TN STEM Innovation Network. ©American Society for Engineering Education, 2023 2023 ASEE Southeastern Section Conference Curriculum Development and the Holistic Engineer: Foundry Guided ApproachesAndrea Arce-Trigatti1, Sabrina Buer2, Carlos R. Galindo3, Pedro E. Arce2, and J. Robby Sanders2 1 Department of Curriculum and Instruction, Tennessee Tech University, Cookeville, TN 2 Department of Chemical Engineering, Tennessee Tech University, Cookeville, TN 2 Millard Oakley STEM Center, Tennessee Tech University, Cookeville, TNAbstractThe Renaissance Foundry Model (herein the Foundry
campus, transitto the college environment, advise academic work, develop career and leadership skills, etc.Staff and faculty in the college have witnessed the rising skepticism of the public about the valueof college education during the past years [1]. We recognized that interested individuals mayhave many more resources where they can receive knowledge that traditionally has beenobtained from colleges. To improve college experience of our students, CET takes acollaborative approach among faculty and staff. For example, in spring 2021, a faculty advisoryboard for the SSC were appointed to conduct literature review and identify best practices in fourservice areas: (a) Marketing and Recruiting, (b) First year-programs [2, 3], (c
)dataset were found to be the potential dataset for training and testing in this study. The corpuscontains words and sentences used for clinical assessment and research of speech disorders, withmore than 16,000 speech samples from adults and children with and without speech disorders12.ASR modelWe propose a phone-level ASR model applied with high-resolution Mel-frequency cepstralcoefficients (MFCCs) as features, and bidirectional long short-term memory as the modelarchitecture for the system. Figure 1 displays the high-level overview of the ASR system. The firststep in any ASR system is to extract features. In short, it identifies the components of the audiosignal that are good for recognizing the linguistic content and discarding all the other
. Dr. Shelton is the lead on the ongoing workshops with local underprivileged youth to partake in this challenge and expose them to computer science professional while working on fun and engaging problems. His life’s goal is to expand the horizons of his research area to educate as well as educate future researchers and practitioners of the computer sciences. ©American Society for Engineering Education, 2023 2023 ASEE Southeastern Section Conference A Prototype for Cross-Institution, Interdisciplinary Experiential Learning in Cybersecure Autonomy Patrick J. Martin1 and Joseph Shelton2 1