1. Alsodiscussed is the pedagogical background required for designing realistic engineering problems.Finally, an example project for sophomore-level electrical and computer engineers is explained indetail, with the author’s own experiences in assigning this project explored. The project is anopen-ended problem with multiple solution options. Students have scaffold-ed experiences withinthe course to guide them towards several possible techniques. Students follow a fullproblem-solving structure through defining their problem, exploring options, planning a method,implementing said method, and then reflecting upon the success of their design.IntroductionThe first of the seven ABET outcomes is stated as “an ability to identify, formulate, and
, and then explore expanded solution spaces. Disappointment arises when studentsfail to make these connections or often fail to recall fundamental concepts necessary to makeinformed decisions. In this paper we describe changes made to a junior level class to helpstudents recall content from earlier courses on a particular topic in Electrical Engineering. Thisreflection better enables them to compare and contrast new material and even make connectionswith future course and industry solutions. Our initial survey indicates that student perception ofthese changes has been positive. Furthermore, a majority of the students responding to the surveysuggest including similar exercises in lab modules on other topics.1 IntroductionAn important aspect
our studentresearchers are given and recommended best practices for undergraduate research in this area aredetailed. Finally, how this work dovetails with our implementation of a multi-disciplinaryintroductory quantum computing course running for the first time this Spring is also described.1. IntroductionEducational scholars widely agree that engaging students in authentic undergraduate researchexperiences is a high-impact pedagogical practice as it promotes student-centered learning andresults in several positive learning outcomes including improved problem-solving, critical-thinking, and communication skills [1], [2], [3]. Undergraduate research programs also help withpersonal development, giving students improved attitudes, self
New Orleans, LA 70118 Meriel Huggard Nguyen Nguyen School of Computer Science and Statistics Bucknell University Trinity College Dublin Lewisburg, PA 17837 Dublin 2, IrelandAbstractAlmost every computer science program contains two semester-long introductory courses, usuallynamed Computer Science 1 (CS1) and Computer Science 2 (CS2). They have been a mandatoryelement of the ACM Computing Curriculum for nearly fifty years and are likely to remain so formany years to come. While there seems to be a broad agreement on the key elements of CS1, thecurriculum for CS2 can vary significantly between institutions. What
interviewed. The feedback from the students and reflections from the faculty wouldprovide guidance about the integration of the undergraduate research experiences into the coursesto broaden the impacts of undergraduate research on learning and teaching. In the future, at leastanother two cohorts of students. especially from underrepresented groups, will be recruited. Wewill have a longitudinal study to explore the impacts of undergraduate research experiences onlearning and teaching using a mixed qualitative and quantitative method.KeywordsResearch Experience for Undergraduate, Drone Swarms, Artificial Intelligence. 1. Introduction Studies showed that interdisciplinary undergraduate research activity efficiently improvesstudents’ learning and
. 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
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
Engineering and Computer Science, theOffice of Undergraduate Studies at Sacramento State, and by NSF grant (DUE # 2235774).IntroductionEngineering curricula characteristically have long and highly regimented chains of pre-requisitecourses called ‘critical paths’, that span the entire curriculum from students’ freshmen year tosenior-year capstone projects. Critical-path courses can create significant obstacles to graduationas a single DFW (grade of D, F, or withdrawal) grade in any course can impede a student'sability to graduate on time. Reducing course fail rates along the critical path significantly reducesthe students’ time to degree. Furthermore, research shows that students exposed to engineeringdesign [1] and research experiences [2] have a
-solving approach, to arrive at a more authentic assessment.The challenge is that this approach requires significant grading effort and time. The goal of ourstudy is to investigate a design strategy for summative assessments that significantly cuts downon grading time, while keeping the assessment authentic. A reduction in grading time would freeup resources that could be redeployed in other parts of the course, such as providing moretutoring support. In this paper, we propose a design methodology to create such time-efficientauthentic summative assessments for engineering courses. Our proposed design strategy consistsof two steps: (1) systematically create a problem that consists of targeted sub-questions and (2)grade these based on a rubric
indicator-based (KPI) dashboard to predict and identify industry manufacturinglimitations. We also report on the student learning experience, industry-academia collaboration,lessons learned, and several instructional insights with respect to project management. We believethat these instructional insights are applicable to other learning models.IntroductionThis project received support from local state agencies to promote the transition of graduate stu-dents at local universities to manufacturing jobs in the local-industry in an effort to limit talentmigration from the state [1–4] . The industry-academia project’s technical objective was to finddata from manufacturing productivity reports to create a dashboard with updates on Key Perfor-mance
theofferings of engineering courses is an ongoing national effort [12]. This is an involved effortbecause students taking the same course can engage with it and experience it in differentways depending on the prior background that they bring with them to the course suchas their motivation, sense of belonging and study resources. Researchers in Engineeringeducation are working to identify such sets of student features that play a role in courseperformance Specifically, researchers studied whether aspects related to their motivation,such as expectancy to do well, is related to course outcomes [1, 8, 9], whether high performingstudents have different study behaviors than low performing students [10], and whether othersources such as sense of belonging
question formulation technique (QFT) [1] to createcuriosity, connections, and cultivate soft skills in students. The basic elements of the QFT areshown in Figure 1. We are attempting to create not just a curiosity around the subject material,but also to help students to find connections between circuits and their other courses. Helpingstudents uncover these connections should be a goal of any educator. However, if we can teachstudents the skills they need to discover their often-lost sense of curiosity, then they will controltheir own learning. Development of lifelong skills will serve the student long after their courseshave been completed.Figure 1: The basic elements of the Question Formulation Technique (QFT)The students taking this basic
advancedcourses. Although there are various reasons affecting the student’s ability to master the conceptswell, two factors are considered often. One factor is class attendance.Regular lecture attendance is typically expected from college students. Indeed, as the findingspresented in [1], [2], and [3] demonstrate, there is a positive correlation between regularattendance and the student’s grades.The other factor is the ability of students to keep up with the material promptly. As study [4]emphasize, some students may wait until the last moment to study the material, which negativelyimpacts their deep understanding of the material.Many studies summarized in [5] believe that in-class quizzes are a valuable tool to encouragestudents to attend classes and
software and hardware tools, and theneed to ensure students apply sufficient engineering rigor in their analysis and design of projectsolutions.IntroductionProject-based learning (PBL) is an active pedagogy in which student learning is achievedthrough the completion of hands-on project work, and it has become an integral aspect ofengineering curricula worldwide. This trend is largely a response to a perception that engineeringstudents graduate with insufficient design experience, underdeveloped professional competenciessuch as communication skills and teamwork, and a poor understanding of the many societalcontexts in which engineers must operate [1]. PBL is viewed as a powerful tool for addressingthese needs, as project work is self-directed in
also make the learning of digital circuit designmore enjoyable.1. IntroductionDigital circuit design is a fundamental course for many engineering majors including computerengineering, electrical engineering and computer science. This class covers the fundamentalknowledge of digital circuits, including Boolean algebra, logic minimization, binary arithmetic,circuit analysis and design. Digital circuit design also provides a foundation for understanding theinner workings of computers, which is essential for students who want to pursue careers incomputer engineering or related fields after graduation. From taking this class, students will learnhow to build digital circuits using basic components such as transistors, gates, and flip-flops
of time reading traditionaltextbook content. This leads to many students skimming or skipping the reading, hindering theirlearning [1], [2]. And this is despite students themselves reporting knowing that it’s important toread, and that reading will improve their grades [3]. Many students find engineering courses(including introductory engineering courses) challenging, and failure rates can be high. Forexample, one institution found average failure rates (students receiving a grade of D or E in thecourse, or withdrawing) of 23% for their introductory circuit analysis course [4]. Onlinetextbooks, tutorials and courses developed by academic institutions [4], [5], [6], [7] andcompanies [8], [9], [10], [11], [12] often have integrated interactive
community college pipeline has played an important role in providing access to highereducation for students whose circumstances may have precluded their enrollment at four-yearinstitutions for the entire duration of their undergraduate education. This is especially true forwomen, members of marginalized communities, non-traditional students over the age of 24, andindividuals of low socioeconomic status, all of whom continue to be underrepresented in STEMfields. Roughly 40 percent of first time in college (FTIC) students pursuing higher education inthe United Stated start in community colleges [1] [2]. Out of 632,051 students who first enrolledat a community college in the fall 2015 term, 31.6 percent (199,913) transferred to a four-yearinstitution
unclear on what they know and don’t know.Teach for Mastery (TfM) is a concept pioneered in the 1920s 1 with slow but steady research overthe decades, including work by Bloom 2 , and recently made popular by Sal Khan of KhanAcademy in a 2015 TED Talk 3 . The basic idea is let each student progress through the material attheir own individual pace 4,5 . Students can take and re-take both learning modules andassessments as many times as it takes for them to understand the material. This promotes agrowth mindset and encourages students to take time as needed because its never too late (untilthe course ends). TfM is gaining a foothold in higher education and research into it has largelyfound that it has positive effects on student learning 6,7,8 .A
infrastructure for teaching a “remote” or “personal” [1] laboratory course. This solution not only provided the students with equitable infrastructure for doing all the required projects and hands-on experiments remotely but also could be used as a learning opportunity to provide students with more insight into the setup, design, functionality, and purpose of lab equipment. While in typical academic years and in the normal (in-person) mode of operation, the sophomore students in this course learned to use the laboratory equipment for doing projects and lab experiments, in this remote course students additionally learned how these equipment are designed and built through building one – the test-board – as one of their first projects. This
in USdollars for 2023. The number of IoT connected devices is growing at an annual rate of 20%/yearwith billions of devices connected. Accordingly, there is much need for foundational IoTengineering courses in our educational institutions to prepare engineers for this technology sector.The challenge for course developers is that IoT technical foundations are exceedingly broad -ranging from smart sensors to low power computing to cloud infrastructure. Most universitiesfocus on one or two aspects of IoT technical foundations, specifically those associated with thecomputing aspects of IoT. We have developed a novel approach for an IoT course by segmentingthe course into three fundamental technology areas. These areas are respectively (1
logiccircuits. In this work, we emphasize student learning of sequential logic circuits since it is atopic that embodies all of the preceding topics in the course. During the laboratory sessions,students learn how to use programmable logic devices (i.e. FPGA) and write HardwareDescription Language code to model the circuits that they learn about in the lecture.Figure 1 shows an example assessment from the class. In this problem, the students were given acircuit with several flip-flop circuits, an example input waveform and were asked to predict whatthe output waveform would be. This sample problem, and student response, shows whysequential logic circuit are so difficult for students to analyze. Not only do they have to recallhow each device operates
topractice via a project in which they must implement 2D image convolution on a Field-ProgrammableGate Array (FPGA), using HLS tools. The impact of the instruction on students is assessed via surveysand the results show that students find the material to be challenging, yet interesting. The results alsoshow that there is ample room to provide additional instruction to students on topics that are core tomodern hardware design, such as Direct-Memory Access (DMA).1. IntroductionCourses on digital design are essential components of all computer engineering curricula [1]. Mostprograms have an introductory digital design course, where students learn the basics of logic gates,hardware description languages, and FPGA design. This introduction is typically
in the 21st century thanin the preceding timeframes. Engineering technology and the requirements from the globalworkforce are in constant evolution. This behooves engineering programs at universities acrossthe world to adapt their curricula to prepare the graduates for the challenges in the engineeringindustry. The engineering curriculum which adopts integrated projects on a centralizedengineering project platform [1] enables the student to become an active, intentional, and goal-oriented learner through problem-solving [2]-[3] in a project-based [4]-[6] and project-enhancedlearning [7] environment. Traditionally, core lecture and laboratory courses have been taught inrelative isolation of each other. This approach does not effectively
. The main textbook is‘Introduction to EMC’ [1]. To address the section on EMC system design, which includes PCBdesign and layout, and EMC measurements, the book 'EMC Engineering' [2] is used as a reference. i. Basic EMC topicsThese topics serve as a foundation for EMC principles and concepts, including electromagneticfields, transmission lines, EMI and antennas, non-ideal circuit components, and EMC regulations.The students will also gain an understanding of the latest industry standards and regulations relatedto EMC through discussions on these basic EMC subjects shown in Figure 1. Figure 1 Unconstructed view of EMC basic topics. ii. Advanced topicsThese advanced topics dive deeper into EMC, covering topics
transmission or distribution line, the selection of an appropriate number and size of inverters Distributed generation of utility-scale photovoltaic solar is crucial. This selection should be based on the AC powerpower involves integrating it into the distribution grid. The required to be integrated into the grid.process of PV solar power generation involves convertingsunlight into electrical energy using PV modules [1]. The While the inverter converts DC power to low voltage ACamount of energy generated by the PV module depends
(DAQ) device that uses NI LabVIEW based software instruments, allowing students to measure and analyze real-world signals [1]. A DC motor control system can support many experiments, and therefore is explored and used in this experiment setup [4]. The complete experimental hardware setup is shown in Figure 1. The NI myDAQ connects to the PC equipped with LabVIEW software via a USB (Universal Serial Bus) cable and to the myDevBoard prototype board via the 20-position screw terminal connector [1]. The designated analog and/or digital physical channels of the myDAQ are wired to the motor interface and driver circuit which is hand-wired on the myDevBoard prototype board. The main components of this
, 2023 Does students’ performance decline in online classroom setup? A study of students’ performance in ECE controls classesAbstractWith the strike of COVID-19, all schools transitioned to online learning. Studies conducted duringthe pandemic indicated that many instructors and students expressed that their experience hasdegraded compared to the regular face-to-face class meetings. During remote classes, students'attention spans were observed to be lower than ever before. Additionally, many students expressedthat they are struggling with their learning and feel disconnected from the class and theirclassmates [1]. As a result, class attendance also dropped to unpreceded levels. Currently, althoughmost of the schools returned to
been buildingrelationships with advising staff and curriculum committees across the university, ensuring thiscourse would meet engineering/science elective requirements for various undergraduateprograms.To understand how students are impacted by the final design project, we defined and measured anumber of constructs, including self-efficacy, maker identity, and engineering identity. Self-efficacy refers to the strength of an individual’s belief in their capabilities to complete tasks andachieve a planned outcome (Bandura, 1997). We quantified students’ self-efficacy in two areas: 1) self-efficacy for tinkering with circuits (Tinkering SE), and 2) self-efficacy for designing new electronic systems (Design SE).Higher self-efficacy
this approach as “advising as teaching.” [2,3, 6] Student ownership over their curriculum and academic experience is a central outcome ofdevelopmental advising, which charges advisors to help students integrate career and academicgoals and address their unique challenges and desires. [2, 3, 4, 5, 8, 9] Developmental advisinghas been shown to increase student sa?sfac?on and reten?on, partly because of the personalconnec?on with a mentor. [2, 9] In 2008, Janine M. Allen and Cathleen L. Smith argued thatwhile faculty advisors recognized the importance of career guidance and other support tostudent success, they viewed their own advising responsibili?es as limited to ensuring studentsfulfilled gradua?on requirements. [1] However, Elizabeth Hart
ispresent?If a school does not have any formal programs or immediate industry connections, most studentswill find themselves on an external commercial job search site looking for the ideal position. Thesesites tend to require many prerequisites, some fair and others unfair for a person that is trying toget their foot into the door. If one does not meet all the requirements and is denied during theapplication process, what is next?The benefit of networking with those immediately within reach will be explored in this paper.This network could be friends, family, coworkers, and teachers [1]. Unconventional communitypartnerships include community centers, places of worship, social venues (i.e. cafes, cafeteria).Wewill examine the case of a student that