., assumptions, lessons, values, beliefs, attitudes, and perspectives) thatare not openly acknowledged in a given environment [1]. HC often consists of positive(inclusive) or negative (exclusionary) systemic messages that are structurally supported andsustained [2]. HC affects everyone but people with limited access to social and institutionalcapital are the most prone to be affected negatively by HC (e.g., first-generation) [1],[2]. The U.S. Department of Education classifies first-generation (FG) college students asthose who came from families where neither parent obtained a four-year college degree [3]. FGstudents are disproportionally people of color (POC) [4], therefore their disenfranchised andmarginal identities are intersectional [5]. The
engineering students be taught in their college programs? This is aquestion raised by many, and which can lead to spirited debates. To provide some guidance,ABET provides some general guidance from professional engineering societies through theirrequired “Student Outcomes” [1]. To be educated to be a practicing engineer, students mustlearn the technical details of subjects important in their discipline. But ABET also recognizesthe need for students to learn non-technical subjects, as graduates should be able to so suchthings as include non-technical components such as cultural factors in their designs, and makeengineering judgements based on societal contexts. Various authors have also discussed theimportance of bringing more non-technical subjects
include private corporations, national labs, defense organizations, healthcare institutes, etc.,which hire PhDs. Collectively, we consider this as a model for the much needed redesigning of theUS STEM doctoral education to create a national workforce of technical leaders. Finally,challenges to the implementation of the P3 track are identified.1. Background - recognition of problems with the current structure of STEM PhD in theUSAGraduate education has been considered to be a prerequisite for maintaining the country’stechnological, economical and defense competitiveness in the world as well as societal well-beingat home. In particular, STEM doctoral education is needed for preparing the next generation ofeducators who will ensure a well trained
course was alsodesigned and implemented by the Communication Lab Director and tutors from the EECS Com-munication Lab, together with the EECS Department Head and a faculty advisor. It provided anoverview of relevant technical communication tasks, detailed below, facilitated by guest lecturesand hands-on workshops.3.2.1 The communication course’s operationThe course consisted of a weekly, two-hour session. Topics covered a range of technical com-munication tasks, as outlined in Table 3. Typically each session began with an introductory guestlecture (∼30 min), followed by small-group workshops run in parallel, in separate rooms, and ledby Communication Lab tutors. Guest lecturers were selected based on (1) their example as goodcommunicators and
(73%) Fall 2022 107 82 (77%)The scores of the engineering calculations assignment between the traditional and generativelearning methods were evaluated with a repeated-measures ANOVA. Although there was a slightdifference between the means of the traditional (1.9 ± 0.2, standard error [s.e.]) and generative(2.6 ± 0.2, s.e.), there was no significant effect of learning method on the performance scores (p= 0.11). There was a significant effect of grader (p < 0.0005). As seen in Figure 1, two of thegraders in the F’21 semester (B and C) graded the calculations assignment significantly lowerthan grader D in the F’22 semester. Within the F’21 semester, a significant difference wasobserved between graders A
contractor firms.LITERATURE REVIEWIn the construction industry, employees’ performance significantly contributes to the overallsuccess of projects and construction organizations. Therefore, employers need to recruit skilledworkers and provide targeted training to workers in order to achieve the desired project outcomesand organizational goals. To effectively recruit and train workers, construction companies shouldfirst determine what traits and skills help workers succeed in their jobs, especially constructionproject management jobs.Beyond technical competence, [1] and [14] noted that personality characteristics are essential forthe job performance of construction workers. According to [3], personality traits are largelyresponsible for the values
] [5]. Therefore, integrating sustainabilityconcepts into first year courses that are common to all engineering majors may help ensure thatall engineering students are at least introduced to the concepts of sustainability.There are many definitions of sustainability. Some definitions of sustainability include: capableof being sustained, of or relating to a method of harvesting such that the resources are notdepleted, and development that meets the needs of the present without compromising the abilityof future generations to meet their own needs [6]. Additionally in 2005, Amory Lovins,cofounder of the Rocky Mountain Institute, along with others, defined sustainability with thefollowing characteristics [6]: 1. Dealing transparently and
program has demonstrably improved the academic performance andgenerally provided a positive social experience for the students. Lastly, the paper also provides abrief discussion on the findings of a survey of first-generation students at Texas A&M universitywith respect to the challenges they face in maneuvering their academic and social lives as auniversity student.IntroductionFirst-generation (FG) university students face a variety of challenges, including a lack of parentalguidance, financial and social burdens, isolation, a lack of sense of belonging, and low self-confidence, all of which put them at a higher risk of dropping out than their continuing-generation college student peers. Mobley et al. [1] categorized students according to
Paper ID #40083Development of a Cobot Lab to Support Next-Generation AppliedEngineering TechnologyJeritt Williams, Illinois State University ©American Society for Engineering Education, 2023 Development of an Industrial Cobot Lab to Support Next- Generation Applied Engineering TechnologistsIntroductionOne of the big ideas of the Industry 4.0 concept is that modern manufacturing is shifting frommass production to customized production, signaling the need to deploy advanced technologiesthat allow the future workforce to work in a flexible, highly productive, and adaptable way [1].To this end, collaborative
elaborated upon after thetrial block. Figure 1 - MRI machine and image produced from BOLD contrast taken from [42].2.1.2 Electroencephalogram (EEG)Another technique used in creativity research is the electroencephalogram (EEG). An EEG is adevice used to measure and record the “...electrical potentials generated in the extracellular fluidas ions flow across cell membranes and neurons talk to one another via neurotransmitters” [43].These electrical signals are collected through electrodes placed on the scalp. From these signals,responses to stimuli can be extracted and analyzed, providing high temporal resolution of brainactivity. EEG signals are analyzed based on frequency, amplitude, and electrode position.Frequency bands such as delta (0.1-4
College Student in EngineeringAbstractThis research study explored first-generation college students’ in engineering post-graduationcareer intentions based on responses to a quantitative survey. In this paper, we answer thefollowing research questions: 1) How do first-generation college students’ measures of physics,mathematics, and engineering identity constructs differ compared to non-first-generation collegestudents? and 2) How does a physics identity influence first-generation college student’s choice ofan engineering major and career aspirations? The data came from the Intersectionality of Non-normative Identities in the Cultures of Engineering (InIce) survey. InIce was completed by 2,916first-year engineering college students enrolled in
+ 𝐴 B) 𝐶!"𝑆! = 𝑃! 𝐶!!! + 𝑃! (𝐶!!! )𝑆! = 𝑃! 𝐶! + + 𝑃! 𝐶! = 𝑃! as 𝐶! = 0 for half adder𝑆! = 𝑃! 𝐶! + 𝑃! 𝐶! = 𝑃! 𝐺! + 𝑃! 𝐺!𝑆! = 𝑃! 𝐶! + 𝑃! 𝐶! = 𝑃! (𝑃! 𝐺! + 𝐺! ) + 𝑃! (𝑃! 𝐺! + 𝐺! )𝑆! = 𝑃! 𝐶! + 𝑃! 𝐶! = 𝑃! (𝑃! 𝑃! 𝐺! + 𝑃! 𝐺! + 𝐺! ) + 𝑃! (𝑃! 𝑃! 𝐺! + 𝑃! 𝐺! + 𝐺! )Example 2: Generate 1+𝑋 ! +𝑋 ! polynomial in a built-in-self test (BIST). Give the required diagram anddepict the comprehensive table.Solution: Clk Q(0) Q(1) Q(2) 0 1 1 1 1 0 1 1
variety ofaesthetic issues in the form of practical and creative assignments. The course consists oflectures on photography skills, fluid physics, visualization techniques, critique sessions, and aguest lecture. Assignments consist of images paired with written technical reports, and self-reflection sessions to learn "effective communication" skills. Other course objectives evaluatedthrough students’ assignments and projects are "creative thinking" and "integrative thinking".Some samples of student works are presented. This course proved to be very successful inattracting all students (male and female) in both engineering and non-engineering majors.IntroductionThere has been a great interest in bridging the science and art in recent. Three
. c American Society for Engineering Education, 2019 Understanding the Intersection of First Generation Degree Seeking Women, Engineering, and Public UniversitiesThe California State University system (CSU) is the largest university system in the nation. TheCSU system is comprised of 23 regional campuses and as of fall 2018 has an enrollment of481,210 students. While the state comprises about 12% of the US population, it only producesabout 10% of the engineering degrees awarded [1]. Not only is the state lagging behind onengineering degree production; but also on the rate at which women earn engineering degrees.The CSU system grants engineering degrees to women at a rate of 16.8%, trailing the nationalaverage of 20
problem properly addresses the topics desired, problems are oftendesired to be sufficiently unique or exciting, they must be error free and solutions to problemsmust also be calculated.There are several sources that faculty members can draw upon to find new problems. Textbooksare the first source that come to mind and each publisher painstakingly compiles hosts ofproblem sets in each and new editions with augmented problem sets are published yearly. Manypublishers also supply online learning systems for their textbooks that offer computer-basedmodules that contain problems. Often, the problems contained within the online learning systemscan even have their input values generated randomly [1]. Some educational groups have alsocompiled repositories
Paper ID #42823Apoyando y Modificando el Curr´ıculo: Supporting our Next Generation LatinxSTEM StudentsMayrismir Cordero, MPA, Palo Alto College Mayrismir Cordero obtained her Master’s Degree in Public Administration from St. Mary’s University in San Antonio. She knows and understands that student success is a collaborative effort. Her project management and organizational skills have led her to design programs that lead and serve a large community of multidimensional learners. After 17 years in education, her love for students, her connection with faculty and her shared identity as a Latina with the Hispanic/Latino
reviews are a type of literature review that takes a systematic approach to search,review, and synthesis of information on a defined topic. A well-designed review will achieve“exhaustive and comprehensive searching”[1] for relevant evidence while minimizing selectionbias. As the volume of scientific publications has surged exponentially over the past severaldecades [2], with a recent study showing that the number of publications in the Physical andTechnical Sciences doubles every 11.9 years [3], the need for systematic reviews to collate andsynthesize all this research has become critical. The general field of engineering has seen the risein published research review papers that many other fields have seen recently [4-6]. Conversely,performing
emergingtechnologies in shaping the future of engineering education.IntroductionThe advent of Generative Artificial Intelligence (GAI) has revolutionized various sectors,including shipping and manufacturing, management and hiring practices, economics and financemarkets, art and creative endeavors, and education [1]-[4]. Generative AI's intrusion intoacademic practices, particularly homework completion, is a subject that has garnered recentattention [5] and controversy [6]. Artificial Intelligence has disrupted traditional pedagogicalmethods, offering students tools that make problem-solving and homework completion moreefficient [7]. Other AI tools, such as automated grading, plagiarism detectors, and intelligenttutoring systems, have provided needed support
interactions. Thislimitation is significant, as it affects the potential depth and effectiveness of human-machineinteractions, especially in scenarios where cooperation and social understanding are key. Ineducation, the integration of generative AI with AEI offers transformative potential. GenerativeAI can be employed to create personalized and dynamic learning content, while AEI enables thesystem to interpret and respond to the emotional states of learners.This work, building upon previous work by the authors[1] ,Recognizing and Responding toHuman Emotions: A Survey of Artificial Emotional Intelligence for Cooperative SocialHuman-Machine Interactions, revolves around a central query: What are the essentialadvancements required in AI to enable it to
role ofinterconnectedness, as illustrated in Figure 1 by the symbol ⇆, which signifies seamlesstransitions between stages. For instance, an experiential learning course should build upon thetheoretical knowledge from previous courses to enhance and further develop analytical skills,rather than existing as an isolated experience.We advise that experiential learning courses designed as introductory or overview sessions,which do not incorporate theoretical foundations, should be viewed as transitional phases (⇆)rather than as part of the second stage (T2). In the T2 stage, experiential learning shouldinvolve students either individually or in groups completing projects that engage advancedcognitive skills like analysis, evaluation, and creation
the deployment of a specializedGPT (Generative Pre-trained Transformer) tailored to the specific needs of multidisciplinary teams. Aframework for Gen AI literacy and deployment and an evaluation rubric to quantify and assess theefficacy of human-Gen AI collaboration are proposed. Figure 1 shows the flow of the work presented inthis paper. The following sections of this paper are organized as follows: Literature Review, TDCRModule, Gen AI Literacy Framework, Project Pal GPT, Human-AI Collaboration Evaluation Tool, andConclusion Figure 1: Flow of TDCR module and Gen AI integration in curriculum2. Literature review 2.1. Project-based learning (PBL) Project-based learning (PBL) has been shown to be effective in increasing
ChatGPT’s response and the remaining two hadasked questions where verification was not applicable. One faculty participant usedChatGPT tohelp develop work-related reasons to attend a conference and wrote, “I knew the info already, soI guess I just parsed it for what I needed. There were likely some pieces of misinformation that Iautomatically skimmed over and didn’t consider”. A faculty member with limited codingexperience asking a more technical coding question stated, “The process of creating code (muchlike writing) involves trial and error. I did not expect the code it produced to work correctly [onthe] first try. I expected a lot of back and forth was necessary, and the [session] was long andcomplex but productive.” This faculty member also
engineering doctoral students. Arange of engineering communication scholarship covering pedagogy, theory and practice aredetailed in [1].Nonetheless, studies that focus on engineering Ph.D. student’s communications needs are not yetplentiful [2,3,4,5]. [6] provides an account of experience teaching technical communicationsusing a cross-cultural perspective to aide in understanding of audience and context, and using acase study approach, [7] describes methods to support Ph.D. science and engineering studentsacademic writing competency. A research method utilizing video to study cognitive aspects ofthe engineering writing process is shown by [8]. In addition, [9] has investigated the writingattitudes and processes of engineering graduate students, and
, training, and confidence regarding TWC-driven tasks. Finally, by elicitingveteran students’ previous technical writing training in a military context, the recommendedsurvey apparatus can be used as a meaningful tool for teaching TWC educators how to provideopportunities for veteran students to demonstrate in-classroom leadership and contributeexperiential insight for the collective benefit of veteran students and their traditional studentcounterparts.IntroductionAt its height of participation in December 1947, the Servicemen’s Readjustment Act of 1944,Public Law 346, provided for 1,245,000 veteran college enrollments [1]. As of 2016, veteraneducation beneficiaries has again risen to over 1,000,000, with the Post-9/11 G.I. Bill providingassistance
participantspreferred a curriculum consisting of multiple 30- to 60-minute lessons with content focused onpractical applications. Educators can draw on the insights gleaned from these survey results totarget their incorporation of technical standards into current educational materials. Threepractical ways to do this as extrapolated from the survey results include (1) keeping lessons ontechnical standards short, generally, one class period or less, (2) offering the lessonasynchronously online or in the classroom, and (3) focusing on the basics of technical standardswith a focus on practical applications.AcknowledgmentsFinancial assistance for travel to the ASEE conference was provided by the University ofTennessee – Knoxville Graduate Student Senate.References
improvement. The paperwill include details on the experiment and the guided peer review process, as well as logisticalsolutions to achieve the blind peer review.IntroductionThe ability to write effectively is a critical professional skill for the practicing engineer, and thus avital outcome for engineering programs.1 Though many programs require specific writing intensivecourses to build these skills, it is also important that students practice writing as an integral part ofthe broader work of engineering in design and laboratory courses.2 In particular, laboratory reportsare a logical vehicle to synthesize the work of experiment design, analysis, and technical writing.However, simply requiring students produce written reports is of marginal value if
ambitious goal requires not only a technicaleducation, but also that we develop in our students the initiative, determination, courage,teamwork, and leadership skills needed to leverage their technical skills. Most engineeringuniversities now recognize the importance of effective teamwork and leadership skills, yet thereremains an unmet need. Additionally, the engineering profession itself is undergoing profoundchanges [1].Historically, MIT has developed in its students the capabilities needed to leverage their technicalacumen by means of close industrial collaborations that gave students both technical know-howand a practical understanding of how to thrive as leaders and teammates.However, in the post-World War II period, as the pace of
disciplines at the university level.Utilizing a visual medium such as picture books and graphic novels can make scientific conceptsmore accessible and memorable [1]. One example of this is the use of storytelling in nursingprograms [2,3], utilizing a method that mirrors the way the nursing students will receiveinformation from future patients. In a science course, Crocetti and Barr examine the use ofstorytelling and graphic novels to deliver science literacy concepts [4]. In the engineering field,digital storytelling has become a tool to use the digital medium to convey technical information ina more accessible way to non-technical audiences [5], to learn technical information in a civilengineering laboratory setting [6], and to develop engineering
six assignments: two technical reports and four technicalmemoranda. Data was collected over two semesters, one semester with traditional grading, andone with the experimental method.A key part of the method was the creation of a clear, easy-to-use rubric. A rubric typically has anumber of elements to evaluate, and each element will have a number of discrete levels.Determining the number of rubric elements and the number of levels in each element is a balancebetween thorough assessment and quick assessment. More elements allow the grader to morethoroughly consider different aspects of the work, but it takes longer. The same can be said of thenumber of levels in each element. Grading generally takes less time when there are fewerelements to
communicative needs identified byindustry stakeholders. A natural fit for a technical writing and communication curriculumdesigned for the needs of engineers, the Kolb model of experiential learning features a practicethat is process-based, focused on connecting new and old knowledge, and requires learnerdiscomfort—through iterative testing a learner must be willing to dispense with ideas found to befalse. Knowledge creation occurs through the meaningful interaction of one’s lived experiencewith that of the immediate environment [1].Understood as an active and dynamic approach to problem-solving, experiential practices in theclassroom offer unique student impact opportunities for mid-performing students, while stillretaining value for advanced students