Professor of Computer Science at San Francisco State University. Her research investigates problems at the intersection of information retrieval (IR), natural language process- ing (NLP), and machine learning (ML). Her work aMichael Savvides, San Francisco State University ©American Society for Engineering Education, 2023 Foundational Strategies to Support Students with Diverse Backgrounds and Interests in Early ProgrammingIntroductionPrevious research has identified numerous challenges in teaching computer programming in theclassroom, including students’ varying prior knowledge and experiences [1, 2]. These challengeshave drawn attention to various pedagogical strategies and curricular
beenpreviously documented in ASEE Prism [1], which is quoted below. “ASEE President Sheryl Sorby’s speech at the 2020 Annual Conference outlined a vision for both the organization and engineering education that reflects more diversity and equity. In light of this vision, as well as the societal momentum toward dismantling White supremacy and racism, ASEE has launched a Year of Impact on Racial Equity. Many aspects of engineering culture have origins and practices that center Whiteness and exclusivity. However, we are all caretakers of this culture and can either protect exclusionary traditions or strategically design models that better meet the diverse challenges and needs of our society. In order to
expert in mobile and sensor systems with focus on designing end-to-end cyber-physical systems with applications to physical rehabilitation, physiological mon ©American Society for Engineering Education, 2023 Work-In-Progress: Feasibility of anonymous grading for reducing performance discrepancies across student demographics Neha Raikar1 and Nilanjan Banerjee2 1 Department of Chemical, Biochemical, and Environmental Engineering 2 Department of Computer Science and Electrical Engineering University of Maryland, Baltimore CountyIntroduction/MotivationExams and quizzes are critical tools for
, all 50 states and the District of Columbia reported shortages with the most acutescarcities in mathematics and science, besides special education [1] . The shift to remote learning alsocreated new demands on teachers, which may have contributed to the shortages in particular subjectareas [2]. With this trend, fewer students can take advanced courses in math and science areas,hindering progress in STEM career pathways [3]. Effective STEM teacher education and support canhelp address these challenges and ensure students have access to high-quality education in thesesubjects [4].Universities must develop initiatives and strategies to address their students' immediate and ongoingneeds to ensure they can be resilient in the aftermath of disastrous
can motivate students to complete tasks on time, but they can also create stress andanxiety, potentially leading to negative impacts on student performance and mental health. Onestudy by Miller, Asarta, & Schmidt [1] found that flexible deadlines can have a positive impacton student performance. Their work is consistent with the findings of both Burger, Charness, andLynham [2], and Bisin and Hyndman [3] who found that rigid deadlines can be harmful tostudent performance. Waller, Conte, Gibson, and Carpenter [4] identified how deadlines can beperceived differently and that for some, deadlines create a sense of urgency, which motivatesindividuals to complete their work.Kappe and van der Flier [5] identified how student conscientiousness was
could reduce the cost of a similar system to approximately $7,200.This paper provides a detailed list of all parts of the pumping apparatus, including pipes, fittings,instruments, and equipment, along with the part number, vendor, and cost of each component. Adetailed construction / assembly drawing is also provided so that other Unit OperationsLaboratories can easily adopt this experiment.This paper also discusses the learning objectives of the experiment and how they are achieved inthe lab. After completing the pumping lab, students should be able to: 1. Safely operate centrifugal and positive displacement pumps 2. Predict pressure drop through a horizontal pipe section 3. Construct and interpret pump performance curves 4. Perform
Sacramento (AOE-1) with the Pacific 7th Fleet.Prof. Jinhui Wang, University of South Alabama Dr. Jinhui Wang currently is an Associate Professor in the Department of Electrical and Computer En- gineering at University of South Alabama (USA). He is co-director of the Intelligent Multi-Level Power- Aware Circuits and sysTems (IMPACT) Lab. His research interests include VLSI, 3D-IC, Artificial Intel- ligence (AI) Technology, Neuromorphic Computing Device and Hardware, Emerging Memory Design, Cooling Technique for Electronic Devices, Wireless Sensor Networks and IoT (Internet of Things), Elec- tronic Subsystems for Biomedical Applications.Amber D. Finley ©American Society for Engineering Education
track the error. By tracking the error, the state estimate is removed from thealgorithm or made equal to 0. With the state error equal to zero, the state translation model canbe considered zero also, as the translation model is made by the predicted state estimate time.With the predicted state estimation and the state translation model equal to 0, they can beremoved from the algorithm internally. This should save computational power as it will reducethe amount of multiplication required in the algorithm.The overall block design of the sensor fusion algorithm can be seen in Figure 1. The basis of thesensor fusion algorithm is the Extended Kalman filter. The other parts of the algorithm allow forthe filter to run and account for different
Magnetic Resonance Imaging (fMRI)IntroductionProblem solving in design is frequently susceptible to fixation, restrictions and mistakesintroduced in the design process due to previous practice, that often impede the generation ofeffective design solutions. Research has shown that the inclusion of examples in the problem’sinstructions is associated with a tendency to conform to those examples during creativegeneration, a phenomenon known as design fixation [1], [2]. Individual differences in learningtendencies during concept building might underlie one’s susceptibility to design fixation. In thisexploratory study, we investigate how learning tendencies relate to the neural correlates ofperformance on a design fixation task relative to a control
grid, transportation systems, andother large scale human enterprises [1].A Potential ProblemThere has been for some time now announcements of this new technology paradigm from theworld’s major technology companies in their commercial ads. Talking about the “smarter planet”or using similar terms that describe the emerging ecosystem embodied by IoT applications. Thesecompanies have become convinced that this newest application of the Internet will be the drivingforce behind their success for the foreseeable future. In 2019 a Google search of the “Internet ofThings” yielded about 3.5 billion hits [2]. Today that number has risen modestly to about 4 billionbut there are many more Google search suggestions about IoT sub-topics than ever
engineering recruitment and scholarship programs for the University of Maryland. He oversaw an increase in the admission of students of color and women during his tenure and supported initiatives that reduce the time to degree for transfers from Maryland community colleges. The broader implications of his research are informed by his comprehensive experiences as a college administrator. His areas of scholarly interest include: 1) Broadening participation in engineering through community college pathways and 2) Experiences of first and second-generation African diasporic Americans in engineering undergraduate programs.Dr. Mohamed F. Chouikha, Prairie View A&M University Dr. Mohamed Chouikha is a professor and chair of
presentation is two-fold: 1) to provide an overview of our NSF project,Pandemic Impact: Undergraduates’ Social Capital and Engineering Professional Skills, and 2)to report our progress and preliminary quantitative findings. We hope to discuss our project andpreliminary results with fellow engineering educators and receive feedback.The COVID-19 pandemic has impacted engineering education in multiple ways that willcontinue to be felt for years to come. One of the less understood ways the pandemic hascontinued to leave a residue on engineering education is how social distancing and onlinecourses altered students’ professional development. Of particular concern are students who wereeither new to the institution or started their college education during
coursecontent. 94% of students “agree” or “strongly agree” that TIMS increased their interest in thesubject.IntroductionAt Wentworth Institute of Technology, junior level electrical and computer engineering studentswith the required prerequisites of multivariable calculus and differential equations take signalsand systems to acquire a strong foundation for advanced courses, such as communicationsystems, digital signal processing and feedback controls. Courses in signals and systems arebased on complex, abstract, theoretical, and mathematical concepts that are hard for manyundergraduate engineering students to fully understand [1-4]. Typical pedagogy involves theorywith lectures and readings, mathematical homework, and exercises with computer
concept map rubric developed by Besterfield-Sacre [1] andthe work of other researchers within Engineering Education [2]. In investigating the prior work, itwas determined that modifications would need to be made to the original Besterfield-Sacre rubricto better fit the context of this research. The team developed a modified rubric and included a listof terms for the specific concept that would be used in evaluation [3]. Table 1 below shows thedeveloped rubric. In conjunction with the rubric, to better aid the research team in evaluating thecomprehensiveness of each map, a list of key terms describing this concept was provided by oneof the faculty experts on the research team, Table 2.Table 1. Modified Concept Map Scoring Rubric [3
, quantitative and qualitative surveys along with the assessmentof artifacts from the collaborative projects were used to assess the success of the framework. Thestrategies discussed in this paper may provide insight into the ways that collaboration among co-instructors can support the creation of learning experiences that overcome the challenges ofisolated disciplinary experiences.Introduction: History of Capstone DesignHealthcare and medicine will change dramatically in response to external factors such as inequitiesdriven by rising costs of healthcare, the role of technology in medicine, and ethical dilemmasdriven by increases in population and age-related diseases [1]. To anticipate and drive thesechanges, students training to enter the field must
to accelerate Latinxrepresentation in STEM education through Institutional Intentionality and Capacity Building forCulturally-Responsive Experiential Learning.The ALRISE Alliance team has extensive work in higher education and understands the value ofbuilding an infrastructure to support students in the higher education systems. The ALRISEAlliance was built as a Networked Improvement Community (NIC), a model that is shown topromote and support collaboration. The ALRISE Alliance structure provides a platform forgaining knowledge and sharing knowledge that can be customized for HSIs institutions that arethe ALRISE members.The ALRISE Alliance objective is to (1) purposely engage and support Latinx students pursuingSTEM, (2) train educators and
sessions that are carefullyincorporated into lectures using miniature devices. The philosophy of ECP is that students learnbetter by doing. Hence, it promotes the practical implementation of fundamental theories in STEMfields by using inexpensive and less cumbersome technological tools to communicate effectivelycore and basic concepts in different STEM fields. The portability of these units enables thesestudents to conduct these experiments at the comfort of their homes, while their low cost makes ithighly affordable. As opined by Connor et al [1], due to the portability of ECP systems, manyinstrumentation-based courses and lab-based learning experiences can now be held in normalclassrooms, even at home, rather than in specially outfitted
learned, according to the students, was research methods, design research,teamwork, and communication. Finally, three peer-reviewed papers primarily written by studentspresented at international conferences demonstrate the program was successful in producingpublishable results.Keywords design education, design research, undergraduate research1. Design Education for Undergraduate Students Engineers increasingly work in new interdisciplinary fields of endeavor that addressorganizational challenges and societal issues related to public policy, sustainability, and economicdevelopment [1]. Although the challenges will change over time, engineers who can applyessential design skills can help people solve problems even as new technologies replace the
of the engineering workforce [1], [2]. AcES has endeavored to attract, support andretain through graduation talented, but underprepared (non-calculus-ready) first-time, full-timeengineering and computing undergraduate students from underrepresented populations byimplementing established, research-based student success and retention strategies. During theseven (7) years of NSF funding, this program has served 71 students and supported 28 studentswith renewable S-STEM scholarships.Past research used surveys and individual and focus group interviews to measure AcES scholars’feelings of institutional inclusion, engineering self-efficacy and identity, and assessment of theirown development of academic and professional success skills [1], [2
, and its capacity to combine expertise andcompetencies from various disciplines, including computer science, electrical engineering,mechanical engineering, and mathematics. Robotics covers a wide range of fields and promotesthe development of critical thinking skills such as problem solving, systematic reasoning,abstraction and generalization, as well as collaboration and communication [1, 2]. This growinginterest in robotics has been accompanied by the development of accessible open-sourceplatforms, such as Arduino and Raspberry Pi, which enable both novice and expert users to createelectronic projects, from simple LED displays to complex robotic systems. This has resulted inthe creation of several commercially available educational robotic
NSF S-STEM Track 3: Scaling Up Student Success through Broadening Participation Beyond our S-STEM CohortIntroductionFirst year programs in engineering education are commonly used to help improve studentsuccess and retention at engineering colleges. Such attendant programs often involve studentinterventions such as learning communities, student mentoring, and bridge programs or bootcamps that provide external motivations and supplementary learning objectives aimed at helpingfirst year students in engineering succeed academically, [1]. Moreover, urban universities oftenhave student populations with a wide array of hurdles that impede their success in engineeringand STEM fields. Of these includes financial instabilities
PSpice for simulation showed a definite leaning towardsSimscape, with ease of access to Matlab/Simscape software being a strong contributing factor.IntroductionThe University of Minnesota (UMN) was the lead institution that was awarded a Department ofEnergy (DOE) grant [1] over the 2010-2013 period to create “A nationwide consortium ofuniversities to revitalize electric power engineering education by state-of-the-art laboratories.”The consortium consisted of 82 universities that used UMN developed laboratory hardware andsoftware resources to set up laboratories in their home institutions. University of the Pacific wasa member of the consortium and used the grant to develop a new power electronics course andlab. Hardware lab experiments were
also popularity used as a tool to increaseinterest in STEM education these days [1]. The gatherings of developers, designers,businesspeople, and other creatives are often brief occasions where they can work together tocreate fresh technology-based solutions. A hackathon is a computing technology focused eventwhich allows participants to become involved in building software-oriented projects. These typesof events also often include various activities such as workshops, mini-games, expert-panels,career fairs, and many more. Hackathons give its participants the opportunity to take theknowledge they have learned and apply it to creative ideas and applications whilesimultaneously encouraging collaboration with fellow participants. There are no
legal issues related to the safety concepts andare connected to standards and regulations compliance [1]. Hess & Fore [2] found that manyengineering programs have adopted a variety of modalities to teach the engineering aspect ofstandards and regulations compliance and that the business and legal aspects are less common inengineering education.Herkert [3] argued that the concept of product liability represents an excellent way to the variedaspects of safety issues to the forefront of the engineering profession as it includes the legalresponsibility as well as the technical concepts related to developing safe products. One exampleof the connection between standards and product liability law is the real-life case study byForbes &
assignment can improve the empathetic dispositions of students.This work is based on work from an NSF Improving Undergraduate STEM Education (IUSE)grant.IntroductionScience, technology, engineering, and mathematics (STEM) majors need to understand thechallenges they will face as professionals and the communities they will serve. Studying thehumanities as part of professional preparation will ground scientific and technological innovationin a context of human need and reaffirm the ethical imperatives that inform the speed, impact,and consequences of human progress. There are natural connections between the humanities andSTEM, which can deepen students’ educational experiences [1]. Yet, there has been a long-standing tension in STEM education between
instruction), thispaper describes: a) details of course pedagogy; b) details of course content; and 3) outcomesfrom three course offerings over a period of three years to 84 students. Attributes of this coursedescribed in this article, include: 1) students completed lecture content mapped closely to theEnvironmental Engineering Body of Knowledge (EnvEng BoK) and the design criteria describedby the Engineering Accreditation Commission (EAC) of ABET Inc.; 2) students preparedpodcasts to teach design principles to specific audiences (i.e., high school students, peers, andpublic officials); and 3) students worked independently and in small groups to perform term-length design exercises. A unique aspect of this course included interdisciplinary
mutual agreements acrosscolleges may then vanish, continued disputes over academic territory, and challenges over resourceallotments. Essentially, there may be little to no incentives for academic departments to engage intransdisciplinary programming within the existing structures of higher education. However, some insightsand practices have emerged from this research project that can be useful in moving towardtransdisciplinary learning around topics of convergence. Accordingly, the paper will highlight features ofan educational model that spans disciplines along with the workarounds to current institutional barriers.This paper will also provide lessons learned related to 1) the potential pitfalls with educationalprogramming becoming “un
benefits of the ACCESS program to students’ education and futureprofessional careers.1. IntroductionCybersecurity is of vital importance for protecting individuals, businesses, and governmentinstitutions from cyber threats. Furthermore, strong cybersecurity is essential for ensuringuninterrupted work of the critical infrastructure and the national security. However, there is ahuge unmet need for cybersecurity experts in the U.S. According to cyberseek.org, nationwidethere are over 755,700 open positions for different cybersecurity career pathways, which is asignificant increase from 597,700 open positions one year ago [1]. The Bureau of LaborStatistics projects that the employment of information security analysts, which is one of thecybersecurity
women in engineering. Later that year, he briefly served as a mathematics instructor in Baltimore City High Schools. From 2005 through 2018, Dr. Berhane directed engineering recruitment and scholarship programs for the University of Maryland. He oversaw an increase in the admission of students of color and women during his tenure and supported initiatives that reduce the time to degree for transfers from Maryland community colleges. The broader implications of his research are informed by his comprehensive experiences as a college administrator. His areas of scholarly interest include: 1) Broadening participation in engineering through community college pathways and 2) Experiences of first and second-generation
generated. However, if the subsurface is nothomogeneous, it is difficult to generate a representative data set with lab analysis done at one-foot intervals. This is a void that artificial intelligence can fill. More specifically, a properlytrained neural network can perform a continuous analysis on high-resolution core images fromtop to bottom. It is also important to note that geologic interpretation tied to core analysis canintroduce human error and subjectivity. Here too, a properly trained neural network can generateresults with extreme levels of accuracy and precision. One core analysis expert believes that coreanalysis done manually is flawed about 70% of the time [1]. This flawed analysis can result fromlack of experience and or a lack of