portable systems that provide a hands-onexperience for students in automation labs. Khairudin’s portable system has two modules (PLCand HMI on one side and sensors and actuators on the other) in a rolling case [1]. Hsieh’s systemcontains several sensors and has an interchangeable special function module [2]. Mikhail’ssystem is a single unit with PLC, HMI, motors, and sensors [3]. Maarif’s system fits in briefcaseand contains a PLC and pneumatics [4]. Barrett’s system contains a PLC and contactors, andstudents connect external input/output devices with wires [5].CourseENGR 382 SCADA (Supervisory Control and Data Acquisition) Systems Design is an upper-division course taught to students in the Engineering Department. It is required forManufacturing
staffing problem and optimize theassignment of faculty to classes across multiple accelerated terms in the scope of an academicyear. The goal is to efficiently and effectively allocate instructors to courses that meet all theconstraints and favor allocating courses to instructors who are highly qualified and interested inteaching the subject. The optimality of the solutions is determined by an objective function that isformulated into the problem statement along with the constraints. Based on the literature survey,the constraints considered represent staffing requirements at most universities. Two different approaches are used to solve the problem. First, the problem is modeled andsolved using 0/1 integer programming. In the next step, a
to advances intechnology including in infrastructure, storage, and analytical tools and techniques[1][2][3]. Thedemand for the data science field can be seen in various industries including retail, health care,finance and in all areas of economy and society [3]. Data science careers are the top careers inthe U.S. across many disciplines[3]. It is predicted that this demand will continue to increase inthe near future [2][3]. The rise in demand for data science technology has created a demand forgraduates who have the skill set needed to support the data science field [1][2][3]. To meet thisdemand in the data science industry, many colleges are revising current programs or developingnew programs geared for the data science industry[1][2]. A
materials-led approach and get feed-back from the wider materialscommunity.Introduction Most forms of engineering make use of materials in some way. After all, everything aroundus is made of materials. Even digital and virtual based professions and applications rely onspecialized high-performing materials to transfer and store data [1]. Energy related industriesand electrical engineers are also reliant on advanced materials for generation (magnets) andstorage (electrodes). The world Bank Report 2020 highlighted 17 mineral resources that areessential to a clean energy transition towards renewables [2]. We know that materialproduction and related activities contribute more than 20% to the global greenhouse gasemissions [3].In this paper, we want to
interface, ultrasonic range sensor control, temperature sensor interface using ADC control, GPScontrol, and DC motor control using a half-H bridge driver IC. Several of these projects will bepresented in this paper. A student assessment will also be provided.IntroductionIn engineering and engineering technology programs, there are many courses that use embeddedsystems to meet the program requirements. C/C++ programming is often used with embeddedhardware and software as a core component to these courses. Examples include the usage of theProgrammable System-on-Chip (PSoC 5LP) and the BeagleBone Black (BBB) [1-3].Alternatively, there is a growing interest in graduates having Python experience. MicroPython is asmall subset of the Python standard
, performance, and processing. The sixmodules covered 1: Atomic structure of engineering materials; 2: Grain structure of metal alloys;3: Tensile tests on engineering materials to obtain mechanical properties of materials; 4: Effectof temperature and strain rate on mechanical properties of engineering materials; 5: Coldworking and annealing of metal alloys, and 6: Phase transformation and phase diagram. Modules1 and 2 were on microstructure, Modules 3 and 4 on properties and Modules 5 and 6 onprocessing. In all the modules, students were required to discuss the performance (application) ofmaterials. For each module, student groups were assigned one of up to10 different tasks tocomplete. Students first completed a pre-module self-directed learning
indeveloping effective mosquito population control methods. One of the potential mosquitobreeding spots are stagnant waters [1-4]. It would be beneficial to the mosquito researchers tomonitor and analyze the water properties of the potential mosquito breeding spots [5][6]. Researchers who may want to analyze the water in these breeding hotspots need a way tocollect the sample. This can be very difficult as these areas can be very hard to access [7][8].Current methods of collecting these samples may include a researcher taking a boat out onto thewater to collect samples or being within reaching distance of the source. Therefore, theinstrumentation presented in this paper is to create a way to aid in research for mosquitopopulation control as many
Materials Engineering CourseIntroductionShortages in the engineering and technology fields is an urgent priority for the US governmentand the country as a whole. In many technical industries, there is a shortage of people graduatingwith the skills needed to take on careers in fields like microelectronics. The microelectronicsindustry specifically is raising concerns regarding talent shortages, with 77% of semiconductormanufacturers surveyed were concerned about a talent shortage in the industry. [1]Workforce development programs have become a strategy to help areas of technological need getmore attention from potential engineers and technical workers and retain those who are alreadyin these fields. For example, the National Science Foundation (NSF
. There are many vulnerabilities in connected engineeringsystems that would lead to a successful cyberattack, including network-related vulnerabilities(e.g., weaknesses in computer networks’ protocols), software-related vulnerabilities (e.g.weaknesses in computer code/applications), and human-related vulnerabilities (e.g., people nottrained could reveal confidential information via social engineering, such as through phishingemails). 1 In addition, due to the deep integration between physical and cyber domains inemerging engineering systems, the impacts of each cyberattack are not confined to the cyberdomain but can cause devastating damage to physical assets (e.g., damage to equipment, theexplosion of a reactor, blackouts in cities, etc.). That
participant experiences and understanding [1]. CI is most commonly used for thepretesting of surveys and can be used for educational research, but the method can also beused to understand cognition, such as by having participants think aloud while problemsolving [1]. For the purposes of this paper, we will consider CI as a means of pretesting asurvey for research, using CI for validation purposes while the survey is in drafting stages. CIcan be used as an independent method, such as during think aloud studies of educationalmaterials, however we are most concerned here with CI techniques which impact the design ofwritten surveys for research. As a technique, CI has seen widespread use in this way acrossmany fields including psychology, education
Control. Dr. Qian is a Fellow of theInstitute of Electrical and Electronics Engineers (IEEE). ©American Society for Engineering Education, 2023Quantification of Competencies-based Undergraduate Curricular for Artificial Intelligence Certificate1. Objective and MotivationArtificial intelligence (AI) as a national priority for future technologies in the United States, hasdemonstrated its potential as a lifestyle-changing technology in different electrical and computerengineering areas such as speech/image recognition, and autonomous vehicles [1-5]. AIapplications are also heavily involved in most aspects of the economy, such as banking andfinance, national security, health care, and transportation [6-11]. By
and inclusionin STEM. The 14 instructors (see table 1) who participated represent a range of institutional roles(e.g., adjunct instructors, professors, and a department chair) and personal identities (e.g.,women, people of color, multilingual, first-generation college graduates). Efforts such as this PLC occupy a unique and underexplored research area supporting STEMfaculty to develop critical awareness to address inclusion and inequity. The field of STEM isparticularly unique regarding efforts to support diversity and inclusion because of the historicalmarginalization of women and people of color in particular (National Science Foundation, 2019;2020). In large part, the historical underrepresentation and marginalization of individuals is
and was categorized as FGCS or Non-FGCS. After removing individuals who did not consent and those under the age of 18, data from19,191 students and 437 instructors remained. Data for instructors and students were matchedusing R software version 4.0.3 (R core team, 2019), resulting in 17,912 survey responses fromstudents, as seen in Table 1.Table 1 Count of survey responses broken down by the gender, race, sexuality, and First-Generation CollegeStudent status of the student and instructor. Matched Social Student Instructor survey Grouping Size for MRM Marker responses
associated with seeking high performance and avoiding low performance.Mastery goals are associated with developing skills and increasing understanding. Eppler et al.(2000) point out that the behavior patterns associated with performance and mastery goalorientations can be valuable when coordinated with one another, and too great an emphasis oneither can be problematic [1]. Furthermore, Elliot & Dweck (1988) demonstrated that theperceived value of a task (in the context of achievement goals) factors into an individual’sbehavioral response to the task [2]. The interaction between instructors and students can help toinfluence students’ goal orientation in an undergraduate engineering course, but this becomesdifficult as class sizes increase and
into the Engineering Analysis sequence of courses (Calculus I, II, and IIIfor engineering students) using Learning Catalytics. We are also improving our implementation methodabove and beyond this first iteration. IntroductionDespite a continued focus on course improvement initiated with the calculus reform movement 30 yearsago [1], first year calculus courses continue to be challenging for STEM majors. Our engineering collegecontinues to work diligently to improve retention of freshmen students, paying particular attention to at-risk students, and we have found that math performance is closely related to retention [2]. The calculuscourses for engineering students are taught within our engineering
. They were attempting to open the black box described in the National Academy ofEngineering’s Pathways (2018) study [1], which spoke of the different ways in which studentsexperienced engineering education, and used their experiences as a stepping stone to a variety ofcareers, including many outside of engineering.Undergraduate engineering education has almost always attempted to provide a professionaldegree, or at least the foundations of a professional degree, in just four years. This, along withthe US commitment to providing a strong general education component at the undergraduatelevel, has made it difficult to unpack how students navigate challenging curricula and providesan important context for changes in engineering education. This
engineering education written for a graduate-level NDM class that was taught by thesecond author (Tyler) in Spring of 2020. From a review of 22 peer-reviewed journal articles andconference papers, the student suggests that there is evidence that: 1) practitioners need to teachabout a broader range of NDM, 2) universities need to clearly identify and articulate their role indeveloping NDM theorists versus technicians, 3) universities need to facilitate partnerships inindustry that provide both entities the resources they need to proceed with high-level NDMeducation and methodological-execution, 4) researchers need to find meaningful ways to educateadministrators and faculty about NDM and its benefits in order to support growing NDMprograms, and 5
of Dar es Salaam I’m a Chemical and Process Engineering Lecturer at the University of Dar es Salaam. I Lecture two courses: (1) Heat and Mass Transfer; and (2) Quality Assurance in Chemical and Food Industries. I also coordinate gender issues at the College level. Apart from Lecturing I do research ad consultancy. My research interest is on areas related to: 1. Bio-energy 2. Food Value Addition 3. Environment American c Society for Engineering Education, 2021 Tanzania Field School: Place-Based Learning for Portable SkillsWe present a program developed through collaboration between engineering and anthropology faculty that focuses oncontextualized
sustainable chemical process design, computer aided design, and multicriteria decision making. She also has extensive experience in K-12 STEM education and program evaluation and assessment. She has held a variety of administrative positions: 1) Director of STEM Faculty Development Initiatives-Clemson, 2) Associate Dean for Undergraduate Studies in the College of Engineering, Computing and Applied Sciences-Clemson, 3) Interim Director of Student Services-Oklahoma State University, 4) Coordinator of the Women in Engineering Program-Oklahoma State University, and 5) Director of the Oklahoma State University Measurement and Control Engineering Center-Oklahoma State University.Dr. Kaileigh A. Byrne, Clemson University Dr
COVID-19 outcomes hasengendered a global pandemic during the recent year and overwhelmed countries worldwide atan incendiary speed. The World Health Organization declared COVID-19 as being a deadlypandemic because of its infectious nature, its rapid spread across various countries, and itsimpact on medical and institutional communities [1]. Challenges were also observed within theeducational system and some are discussed here [2]. Overnight, universities and schools across the U.S and across the world had to transitionto some form of distance learning in order to satisfy the educational needs of students andprograms and keep faculty, staff, and students safe. Social distancing and the usage of newtechnological tools for remote learning
precluded the usual teaming method, and the projectadvisory board adopted an optimization-based approach. Because this approach was developedonly a short time before the beginning of the course, attempts to engineer teams based on criteriapreviously explored in the literature, such as personality type or previous academic performance,were not feasible. Instead, the goal was to provide an efficient mechanism to assign students in afair way according to their preferences. Nevertheless, the teams created with this mechanismfunctioned well as demonstrated by the data presented in this work.This paper describes the details of the optimization approach based on three criteria: (1)balancing skills and expertise across design teams, (2) ensuring that
teaching and doing research. She is on the USD team implementing ”Developing Changemaking Engineers”, an NSF-sponsored Revolutionizing Engineering Education (RED) project. Dr. Lord is the 2018 recipient of the IEEE Undergraduate Teaching Award.Mr. Mou Deng Riiny, SunGate Solar American c Society for Engineering Education, 2021Learning about Solar Power in South Sudan: An International CollaborationAbstractMore than 1 billion people in the world currently live in energy poverty. Solar energy has vastpotential for South Sudan but there are challenges to implementing it. How can students andothers such as technicians learn about the context of South Sudan and the particular
where she currently teaches Unit Operations Laboratory, Capstone Design, and Conservation Principles. She also developed and has run, for 8 years, a month long faculty led international summer program to Brazil which focuses on Sustainable Energy Technologies. American c Society for Engineering Education, 2021 Lessons Learned Developing and Running a Virtual, Faculty-Led, International Program on Sustainable Energy in BrazilGlobalization in engineering education has become increasingly important, especially whendiscussing innovating sustainable designs and technologies to help relieve the climate crisis [1].However, in 2020 the COVID-19 pandemic has
ofgrowth, technological innovation, and quality of life in theory where the model provides the context with which superstars engineering’s identity Externalthe U.S. As a result, the improvement of K-12 student develop an engineering teaching professional identity and Politicalachievement in STEM has broad national support [1]. narrative identity theory provides a mechanism for understanding
developed. Thelearning is deductive only and provides no context for students on why they are learning thematerial or how it will apply to their future engineering careers [1]. Many pedagogical tools thataim to establish connections between the engineering curriculum and industry practices havebeen investigated and implemented with varying degrees of success, such as project basedlearning (PBL) [2,3] competency based learning (CBL) [4], and inductive teaching [1]. However,adjustments to the curriculum to support these alternate pedagogical tools may still overlook theformat of the corresponding assessment items. Assessment techniques that have not beendesigned specifically to complement the course remain in a generic format that is only relevantto
empathy has recently gained significant interest and most ofthis research is focused on developing and fostering empathy among engineering students.Teacher empathy is a relatively new direction yet to be taken in engineering education. In thisstudy, we are interested in developing a preliminary understanding of the views about teacherempathy among engineering faculty. The research question that guides this work is, how doengineering faculty members define, understand, and value teacher empathy? We used the Modelof Empathy Framework [1] as a lens to understand the perspectives of the faculty members.While the framework is developed specifically to understand various attributes of empathyamong engineers and engineering students, we used this
a semester that is already packedwith other course requirements and activities. With other priorities demanding student andfaculty time, realizing interaction between industry experts and students in design courses may ormay not be achievable. Research to understand the value of expert interactions may informeducators as to the pedagogical value and provide support for including these activities in designcourses.In this paper, the Airport Cooperative Research Program (ACRP) Design Competition wasselected for three reasons: 1) interaction with experts is part of the competition requirements, 2)winning design proposal packages are available on a website for the ACRP Design Competition[1], and 3) the authors have participated in the
)department at a liberal arts institution over a time period in which major curricular change wasplanned and implemented. The paper is written as a descriptive, atheoretical case study. In thework discussed here the ongoing changes (evolution) of the program is primarily articulatedthrough curricular changes. While many other factors can influence change processes [1], [2],these factors are not discussed in depth in this paper, which focuses on visible activities ratherthan the beliefs, values, and attitudes that underlie action. The paper discusses the motivatingfactors for change, the process that followed, the resulting curricular changes, and the lessonslearned from undertaking a significant curricular change. Given that every department
installed on thecomputer used for online instruction. An elaborate user manual was prepared for using thehardware setup along with the Zoom application for online instruction. This article discusses elements of the cost-effective, timely solution adopted by the MAEdepartment at ODU. It describes the implementation of a completely online flipped-styleclassroom instruction using a low-cost, simple-to-use equipment. To assess the effectiveness ofthe online flipped-style classroom instruction, the article presents the results of a surveyconducted among the students of a MAE course.1. Introduction and Background – Motivation for Online Flipped-Style Instruction In the past year, the world has changed tremendously due to the global Coronavirus