learning environment using the available models and computer tools in the classroom.IntroductionSemiconductors can be found everywhere in our modern lifestyle. Any electronic device you canthink of made of semiconductors. Evolution of semiconductor industry can be traced back to theinvention of the transistor and which could consider as the birth of modern technology era. Adecade after the invention of transistor, integrated circuits (ICs) were invented and whichinitiated the development of faster, smaller, light weighted and cheaper electronic and electricequipment [1]. During the last few decades, ICs integration advanced further to develop highperformance, reliable, multi-functional, energy efficient large-scale integrated circuits (LSI),very
2020 to humanities, engineering, data science and biomedical sciencejuniors and seniors. The program application consisted of short answer questions on design,career goals, and healthcare. 10 finalists (from 18 applicants) were interviewed based on thefollowing questions and reduced to 4 seniors: 1. Describe a time when you have failed in an academic or extra-curricular setting. 2. Describe a time when you have succeeded in an academic or extra-curricular setting. 3. Why are you the best fit for the program? What can the program gain from a candidate like you? 4. What will you gain from the program? 5. If you were to design a course similar to this program, what would it include? 6. Tell us about an example of when you have
individually at the university workstation, using time more efficiently,and keeping the improved LMS content.This paper compares online and in-person circuits laboratory sessions, exploring the differences,limitations, benefits, and challenges for the students and the response due to geographicrestrictions.Keywords: Online Education, Face to face education, Learning Management System, laboratoryonline.IntroductionThere are multiple modalities of teaching used in education, and sometimes, the namingconvention can be ambiguous. We will use the framework proposed in a previous study (Maganaet al, 2018) [1],[2], with the following methods, Passive Learning, Active Learning, ConstructiveLearning, and Interactive Learning. Passive Learning is the
to connect with researchers who have previously exploredsimilar issues or may experience them in their current work. Student Pathways in Engineeringand Computing for Transfer Students (SPECTRA) is an NSF S-STEM program that providesfinancial assistance to students transferring from the South Carolina Technical College Systeminto Engineering or Computing majors at Clemson University [1]. SPECTRA also assistsstudents by connecting them with peers at the technical colleges who move together through thetransfer process to Clemson and are supported by the SPECTRA program until graduation. Inaddition to exploring the experiences of current SPECTRA participants, we investigate how theproject can be scaled to include more students and sustained
experience at five different universities. Students and departments have always praised him for his outstanding teaching and research excellence. He has been involved in numerous professional societies to supplement his teaching and research, including ASCE, ACI, ASEE, ASC, ATMAE, and TRB. His research output has been well disseminated as he has published thirty journal papers and thirty-nine conference papers. His research interests are 1) Creating Innovative Sustainable Materials, 2) Digital Construction, 3) BIM and VDC, 4) Virtual Testing Lab, 5) Construction Education, and 6) Sustainability. © American Society for Engineering Education, 2022 Powered by
help others ● Iteration: revising a design based on some form of feedback or testing This material is based upon work supported by the National Science Foundation under Grant No. 1712803. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.What’s included:1. Design principles and facilitation tips for integrating narrative elements into hands-on engineering activities, developed through a three-year design-based
in previouscoursework, such as electronics and physical optics. Moreover, projects allow students to explorea particular fluids-related application with a team, while drawing on the diverse skill sets andinterests of the individual team members. Over the past decade, numerous student projects haveutilized advanced optical techniques to study a variety of phenomena involving compressibleflows, shock waves, and thermal convection flows [1, 2, 3, 4]. Most of these studies have beenconfined to the fluid mechanics laboratory and have relied on expensive equipment includingresearch-grade optics tables, high-end optics and digital video cameras. In this paper we describea smartphone schlieren imaging system that is accessible to lab groups
process of developing knowledge threads, competency strands and domains, andspecific program outcomes with a multidisciplinary group of faculty, as well as the challenges ofdeveloping integrated and project-based courses within an established undergraduate curriculum.IntroductionEnvironmental engineers serve an important role in addressing the complex environmentalchallenges facing the planet. Almost half of the National Academy of Engineering’s grandchallenges [1] relate directly or indirectly to environmental engineering, including specificchallenges for the field such as sustainable food, water, and energy; climate change mitigationand adaptation; elimination of pollution and waste; development of efficient, healthy andresilient cities; and
general, value-sensitive designframeworks consist in considering values when designing things and processes – in other words,how things and processes might embody, promote, or hinder different kinds of values [1]–[4]. Aprototypical example of this is the speedbump. The speedbump is a simple technology thatembodies and promotes certain values, specifically, those associated with safety. (Since itdirectly concerns and affects behaviors, however, we would argue the speedbump is also anexample of norm-sensitive design, a point to which we return below.) Other examples includedesigning benches that discourage homeless people from lying down/sleeping on them andinstalling nubs on ledges and handrails to prevent skateboarders and rollerbladers from
refers to the bandwidth of our working memory. Cognitive overload occurs whenworking memory demands exceed working memory capacity, causing learning and performanceto suffer [1], [2]. Two types of cognitive load are mentioned in the literature intrinsic andextraneous [3]. Intrinsic cognitive load mostly affects students who are new to a subject and theyhave not yet constructed networks to connect ideas, theories, facts and figures. Extraneouscognitive load refers to factors not necessary for learning that can be altered by instructionalinterventions [3]. For example, extraneous cognitive overload can be caused by factors that makeprocessing of information difficult, such as unclear course expectations, confusing LMS(learning management system
towards the program. Students’ perception about machine learning knowledgeand skills and their self-confidence improved after they got involved in the program. Theinstructors and mentors indicated positive teaching and mentoring experiences, and shared ideason the further improvement of the program. Building on its early successes the team is continuingto implement evaluation data-driven improvements to the program with the goal of continuing togrow through new collaborations.introductionMentored undergraduate research experiences where students are given a hands-on opportunity toengage in research are known to provide positive outcomes for both the mentor and mentee [1],[2]. Typical structures include paired research mentoring and course-based
Education and Future Professoriate. (i) ENGINEERING EXPERIENCE: Miguel Andrés was Project Manager of PREINGESA where he has directed construction projects in the development of urban infrastructure for urbanizations such as earthworks, drinking water works, sewerage, underground electrical cables and fiber optics, roads, aqueducts, water reservoirs, housing construction, among others. He was also a Project Management Associate for a Habitat For Humanity housing project in the USA. (ii) RESEARCH: Miguel Andrés' research focuses on (1) decision-making for the design and construction of infrastructure projects, (2) the planning of sustainable, smart and resilient cities, and (3) the development of engineers who not only
of the research for the first four cohorts inform the program for continuing to improve theexperience and success of future cohorts.I. Design-Based Research MethodThe curricular development work for this PBL program began in 2016 [1], utilizing design-basedresearch (DBR) as the methodology for both design and research. Design-based research (DBR)was adopted as the methodology to 1) address learning theories, 2) study learning in context, 3)develop measures of learning, and 4) contribute to new designs and learning theories [2] for theprogram development. The work incorporates the four phases of DBR identified by Kolmos [3]:design; implementation; data collection and analysis; and findings and conclusions. The DBRphases were adapted and
and learning strategy was compared to a control version of thecourse in which a conventional end-of-semester exam rather than project was used. The PBL(intervention) version of the course, examines the impact of having the course project becomethe main learning mechanism and considers and attempts to measure the ways in which PBLaffects student performance. Implementation of the PBL pedagogy was enabled by adopting amilestone formatting technique [1]. The project was proportioned into different milestones(assignments) that assisted the growth of the final project. The project required the students to (1)design a metal casting, (2) design and produce tooling to make the casting, and (3) produce andevaluate the casting. Instruction was aimed
sampling site using USGS StreamStats online tool. Land use and land cover wereinvestigated for each delineated drainage area for 2013 and 2019 to study the changes inlandscaping patterns. Forest land areas have maintained their steady percentage (with less than±1% changes) in the majority of the investigated drainage basins since 2013; during the sameperiod, developed land areas have increased by a range of 1.5% to 4.7%. Additionally,landscaping fragmentation was studied using FRAGSTATS to assess the class-levelfragmentation of the forested land. Forest patch number within the drainage areas were notobserved with significant variations since 2013, which suggest a minor or neglectabledeforestation within the region. Surface water sampling were
. Specifically, we synthesize the following guidelines: (1) Planned change theory, likeKotter's change model, is an accessible place to start, but don’t expect the change process to belinear. (2) Embed a community of practice in existing structures and norms, such as facultymeetings. Be creative in bringing discussions of teaching into such spaces. (3) Developmultidimensional measures of student assets, growth, and development. Staying only withmeasures of progress on conceptual learning misses much about students' development aschemical engineers. With regard to supporting students, we also share two key strategies: (4)When teaching technical communication, offer limited but specific feedback and require revisionand reflection. (5) If developing design
lead faculty, IRiKAstudents will visit Korea’s government research institutions and global leaders in the techindustry such as Samsung, LG, and Hyundai.To evaluate the program, the investigators utilize: 1) standardized instruments; 2) surveys,interview protocols, and rubrics that have been developed for use evaluation of other trainingprograms at UFIC; 3) survey and interview questions specifically tailored to IRiKA; and 4)students’ weekly blog posts while they were in Korea. The evaluation plan includes opportunitiesto gather formative data and to understand students’ perspectives of the programs’ impacts, evenif those impacts are outside the anticipated or desired outcomes articulated by the program.Surveys are administered pre-, mid-, and
allowing students to size components, implement them onthe vehicle, and experience the functionality of their designs on a working demonstrator.IntroductionEngineering education aims to develop crucial engineering skillsets, like problem-solving, criticalthinking, and decision-making, improving students’ academic and vocational performance. Suchskill sets are vital, in which they assist in preparing students to enter the workforce and collaborateeffectively as leaders, in teams, and with their peers [1]. Developing these skills requires buildingdeep conceptual knowledge, reinforcing the ability to apply technical and professional concepts,and engaging students in several authentic engineering projects [2].As technology advances and society evolves
explored competencies from the employers’ perspectives.Using a constant comparative text analysis method, we first analyzed 108 publicly available jobpostings from Florida employers who were recruiting AM and engineering technicians. Then, weextracted the job postings’ key knowledge areas and competency levels and compared them tothe Florida Department of Education’s (FLDoE) AM Curriculum Frameworks. We identified theprevailing knowledge areas taught in the FLDoE Curriculum Frameworks and assessed thedegree to which employers 1) expressed the same entry-level competencies; 2) suggested higher-or lower-level competencies; or 3) stated that competencies not in the postings or curricula weremore important. We conclude by discussing varying levels of
engineering course that covered bothtechnical and non-technical topics. The upper-level students were in a technical course (fluidmechanics), and an account is also provided on the empathy lesson implementation and studentreception in this context.IntroductionEmpathy is being recognized for its importance in communication and is something increasinglyvalued by employers. Deming [1] concluded that from 1980-2012 jobs requiring strong mathskills but low social skills fared poorly in terms of employment and wage growth relative to jobsthat require strong cognitive and social skills. It is suggested that this is related to the ability towork efficiently on teams. Google has done an intensive study [2] of teams within the companyto identify how to
students’ mental health and inclusivepractices within the discipline. Faculty and departments will be better equipped to identify andunderstand students’ coping mechanisms, perhaps leading to well-being initiatives that cansupport student mental health and, in turn, aid in retention of engineering graduate students.INTRODUCTION AND LITERATURE REVIEW Graduate student attrition rates are high, yet understudied: Some studies estimate thatattrition rates are between 40 and 60 percent across doctoral programs [1]. In engineering,attrition rates are approximately 24 percent for domestic men, 35 percent for domestic women[2], and as high as 57 percent for African American students [3]. These high rates are indicativeof underlying issues within
hands-on skills training.1. IntroductionIn fields ranging from design, construction, architecture, and engineering, there is an increasinginterest in the creation of three-dimensional (3D) models and the establishment of“interrelationships between modeling components” [1]. In engineering education, the ability tothink in such spatial contexts is often a barrier to entry [2], [3]. 3D technologies, such asComputer Assisted Design (CAD), are potential tools to overcome such barriers. But even whenthese 3D technologies are implemented, the challenge arises when students are expected to applytheir learned content in authentic practice. Tools like Augmented Reality (AR) can support thetransfer of information to “real world” situations, making it an
scores for help-seeking intention and perceivednorms were lower, with 50% of distressed students indicating low intention to seek professionalhelp if in distress. Results from this study provide insight into the key mental health help-seekingperceptions that could influence help-seeking intention in first-year engineering students. Thiscould aid in identifying targets for interventions aimed at improving help-seeking within thisstudent population.IntroductionMental illness is estimated to account for one-third of adult health disabilities [1] and is increasingand becoming more chronic amongst college students [2]. Evidence suggests that deterioration ofmental health (MH), particularly due to anxiety and depression, has accelerated in college
availability ofArduino Tech Kits for checkout. The Arduino Tech Kits allow all users a pathway for hostingnumerous projects and activities. Some science and computer labs are dropping their traditionalaesthetic and are evolving into more of a fab lab or makerspace type environment built onsupporting STEM learning [1]. This adoption of new technologies is great, and libraries aretaking on the role of supporting it via workshops and events, but also making the tech itselfavailable for checkout.At the present, users in K-12 schools tend to be the leaders in hosting technologies like Arduino,which could be considered entryways into further development and interest in areas such aselectronics, robotics, and coding. To support secondary education
andservices with cons such as biases in algorithms and loss of privacy). Surprisingly, despite thepandemic moving most students online between year one and year two of the sampling, littlevariation was observed from year to year.Potential implications of these, and other, results and next steps for scaling the survey arehighlighted. While this preliminary study is limited to one US university, it indicates the need toinclude topics related to data economy in the engineering curriculum. While the curriculumfocuses on building their expertise in technology, it appears crucial to empower students with theknowledge of their broader role in the society as they are building technical systems.1 IntroductionRegardless of an individual’s intent, anyone
the differences between undergraduates and graduatesMost people figure traditional undergraduate students as full-time students among the age 18-23.They live close to campus and attend lectures every day in the classroom. However, based on astudy by National Center for Education Statistics (NCES) [1], nearly three-quarters of all collegestudents in the United States had at least one nontraditional characteristic. Some nontraditionalstudents are perusing online degrees, and some students are attending part-time programs. Somestudents may be inspired to postpone college enrollment due to life circumstances, while othersmay be motivated to pursue a bachelor’s degree later in their career. Whatever the reason,instructors can’t presume that
difficult forstudents to intuitively understand. The haptic feedback controller and accompanying computerapplication enable students to “feel and see” the forces an AFM tip experiences as it approachesthe surface of a measured sample. This instructional activity has now been implemented in anundergraduate-level class (“Micro/Nano Engineering Laboratory”) at the Massachusetts Instituteof Technology in which mechanical engineering students obtain their first experience withnanotechnology. Students were split into two groups for instruction and assessment; students inGroup 1 (N=7) received traditional lab instruction and students in Group 2 (N=4) received thesame activity with haptic and visualization as a medium for relaying information.Post
also enroll in this class as a required or elective course. Since this class typically hasa large size with students with various educational backgrounds, instructors have often found itchallenging to teach them effectively.Traditional lecturing has been shown to associate with a poor knowledge retention rate,especially in a large classroom setting [1]. Previous works have demonstrated that students cangain knowledge more efficiently in an active learning environment [2-5]. Chickering andGamson presented seven principles for good practice in undergraduate education, emphasizingthe importance of interactive learning, efforts, and respect between students and faculty [6].Prince also provided evidence for the effectiveness of active learning
course.Inter-rater reliability of two raters scoring students sketches on eight criteria was acceptableacross exercises, but low across criteria. Students scored highest on Representation Accuracy,Scale, and Symmetry, and exhibited complex understanding of perspective sketching. We intendto revise the rubric to score for aesthetics and make instructions more precise.IntroductionEngineering simulation and modeling increasingly relies on digital tools in design processes. Vir-tual design is used for the conceptual space to connect designers in virtual studios, share feedbackacross teams [1] and engage in reflective conversation with individuals and shared representationsof problems and designs through digital information [2]. Virtual prototyping allows
Education, 2022 Powered by www.slayte.com Work in Progress: Exit Surveys as a Tool for Continuous Improvement in Biomedical Engineering EducationIntroductionThis Work in Progress paper describes a mixed-methods survey tool used to inform curricularand co-curricular continuous improvements of a Biomedical Engineering (BME) undergraduateprogram at the University of Texas at Austin to better meet program and student needs [1].Although this survey is extensive and covers BME education, post-graduation outcomes,professional development, academic advising, belongingness, facilities, accreditation outcomes,student demographics, and program feedback, the scope of this work specifically