-Cycle Model [4]. Figure 1. Data Stewardship Frameworkreasoning) is accomplished by centering on the conscientious negotiation of design risks andbenefits. We further refined this framework into the Data Stewardship Framework (See Figure 1).Data StewardshipData Stewardship is the care and management of data throughout the project. It involvesidentifying underlying disciplinary, data management, and ethical principles and articulating thetrade-offs involved in decision-making across the project lifecycle plus reflecting on futureconsiderations and implications of those decisions.This data stewardship framework has guided the development of a rubric, featured in the poster,which has been used to grant three awards to undergraduate researchers who
program in the Mid-Atlantic region were tasked to write a reflective essay explaining the challenges faced intheir first four weeks in college. A thematic analysis of the qualitative data was used to analyzethe reflective essays.This “work in progress” paper will summarize the main results of the study. Based on theanalysis, we propose interventions to assist these students in their transition from high school tocollege. This project is relevant to institutions seeking to improve the retention of students intheir engineering programs.Background:First generation college students are defined as students whose parents completed only a highschool diploma or equivalent. Some researchers include in this classification those studentswhose parents
, thecommunication techniques incorporate key elements of emotional intelligence. Last but not least,this course acts as a supplementary tool to coach students throughout their first half of thecapstone project, where effective communication plays a critical role in the success of the entireproject.This study uses a mixed method, in which both qualitative and quantitative data will be collectedfrom various instruments, including written reflections of participation of the interactivesimulations, grades obtained for the written and oral presentations, students feedback survey, etc.Preliminary results collected from the pilot semester will be analyzed to gauge the personal andprofessional impact on students, and to see what potential curriculum improvement
we hoped to develop in thestudents. However, the reflections also highlighted challenges and shortcomings of our currentmodel. For this work-in-progress paper, we share our salient findings from each theme, as wellas instructor observations and lessons-learned from this community project capstone model.IntroductionCapstone design is a critical culminating experience in the academic trajectory of allundergraduate engineering students. At the University of San Diego (USD) senior engineeringstudents across three disciplinary majors (electrical, integrated, and mechanical engineering)collaborate on transdisciplinary teams during their year-long capstone design course experience.Teams work on traditional industry-sponsored projects
-based assessments, presentations, and reflections. Thesesections were distilled using a combination of classroom experience and research. Eachof these elements is powerful on its own but added together they create opportunitiesfor students to build self-efficacy, belonging, and inclusion. These qualities then lead toclassrooms that can foster students who can find resilience and joy in diversity andcreate equitable spaces. The framework I developed is visualized in Figure 1 below. Iwill describe each of these elements and the research that went into them.Before the Framework: While doing research around actionable science DEIB strategies, I encounteredand studied social-emotional learning (SEL). While the tenants of following theframework
education. This DBR approach also reflects Kolb’s [5] four stages of experientiallearning (experience, reflection, conceptualize, and test) as the program developers, faculty, andstudents learn together through each cycle of development. Design & Planning Problem Ideation/ Refined Learning (ProjectStatement Selection Model Objectives mgmt) Data CollectionProgram Design Design
formeasuring impedance in networks versus frequency, gain and reflection versus frequency, andtime domain impulse/step response of systems. Many universities have VNAs in their researchlaboratories. Few universities offer undergraduate courses that expose all students to VNAtechnology primarily due to the cost of the instrumentation which can run from $5k for a 1 GHzmodel and $250k+ for a millimeter-wave model. In the last two years, an open sourcenanoVNA was developed and introduced to the market with a $50 price for a 1.5 GHz VNA and$150 for a 3 GHz VNA. This breakthrough in cost/performance now allows all universities touse VNAs in their laboratories. Each student can have access to their own VNA laboratoryexperiment set since the cost is now
industry (see Figure 1 forbreakdown of participants’ organization types). Most responses (85%) were received from theWest/Mid-West region of the United States, and the results presented in this work reflects thesefindings. The answers were considered as those from potential participants indicating theirpersonal preferences on different aspects of the program. In this survey, participants were askedseveral questions relating to professional development for engineering educators in college andindustry. 2-year academic Non-profit institution, organization 89
reflection, grounded in authentic software development settings. Tools in this project include process oriented guided inquiry learning, automated feedback to students through an intelligent tutoring system, case studies in software communication, and guided reflective exercises on team communication. As part of this research, the Ag- ile Communicators team has investigated communication practices in a variety of student and professional software development environments. Wallace has been intimately involved with undergraduate Computer Science curriculum development since his arrival in 2000. He cofounded Michigan Tech’s Software Engineering degree program in 2003. Wallace currently serves as Director of Undergraduate
metaldesign project utilizing newly implemented Solidworks CAD software and one MS Excel basedFEA solution to cutting tool temperature distribution. This individual FEA assignment, much ofit lecture based in instruction, was included to allow the students a direct comparison base tocontrast the two methods. This reflective assessment was collected anonymously at the end ofthe semester utilizing the online course management information platform.Problem-based Learning ApplicationUtilizing a problem-based learning methodology requires a complete change in instructionalstyle. First, the instructor must realize that the PBL method of instruction requires a facilitativeapproach. This interactive approach requires posing a problem, helping the teams
, manystudents quickly find themselves so far behind in the reading that they can no longer catch up. A reading log system where content responsibility is progressively shifted from theinstructor’s questions to student identification and reflection has been developed andimplemented in junior-level Fluid Mechanics and Thermodynamics courses to address several ofthe issues associated with student use of the textbook. The goal of the reading log is to improvestudent use of resource material and to provide opportunities for students to develop skills inreading scientific material. Reflective questioning, guided identification of key concepts,probing questions and cyclic problems are some of the tools that are used to stimulate student useof the
directed at different audiences. After writing a brief reflection ondescription the similarities and differences between the two articles, they will be provided with publication details and asked to reflect on how information format affected their perceptions.Expectation Time to complete: 25-30 minutes Time to grade: 3-5 minutes Read and compare the following two articles on bridge design (article 1, article 2). Briefly describe the differences and similarities between the two articles as well as any points on which you think the authors are in disagreement. ***students submit brief compare/contrast responses*** David P
Antennas Lab #4: Part 2: Antenna Radiation 9 Plane Wave Propagation and Lab #5: Plane Waves Propagation and Polarization Polarization 10 Reflection & Transmission... Lab #6: Reflection and Transmission of & Waveguides EM waves 11 EM Applications (Radars) Lab #7: Waveguide Lab 12 EM Applications (Radars Final Project: Building a Radar cont.) (Integration) 13 EM Applications (Cell Final Project: Building a Radar Phones) (Analysis of Components) 14 EM Applications (Cell Final Project: Building a Radar Phones
. While the basic assignment has remained the same each year, the application haschanged in some way each year. In 2012, four regularly scheduled class sessions were cancelledto provide additional time for students to attend or reflect on their events. Students wereprovided a list of possible events to attend and regular announcements were made of appropriateevents that were being hosted around the university. Based on student feedback from the firstyear’s offering, along with the recognition that the cancelled classes provided additionalopportunities to bring in exploration content (and that some students, due to other constraints,could attend only activities during normal class times), the second year offering was modified.The first-year
, retain, andprepare students in science, technology, engineering and mathematics (STEM) fields to addresschallenges facing the 21st Century. This paper describes a method for integrating behavioralinstinct learning modules into freshman engineering classes. The method includes an onlineinstinct assessment, in-class activities created to illustrate instinctive behavior related toengineering tasks, practicing awareness through class projects, and reflective writing toencourage students to critically think about this awareness for future classes, activities, andcareers. The effectiveness of the methods described herein will be evaluated through the use ofsurveys, reflective essays, and interviews with faculty and students. The assessments have
, various aspects of diversity in the absence of an intrinsicallydiverse classroom composition, as well as allow them to reflect on their own professional andpersonal experiences. Specifically, this module includes activities about implicit bias, stereotypethreat, and cross cultural competence. Student response has largely been positive, and studentreflection assignments have demonstrated critical thinking on the matter. As this is a recent pilotintervention, long-term longitudinal effects have yet to be investigated. Included here aredescriptions of the module activities, generalized student responses, and instructor perspective.While this topic is of great importance to all educators, it is often difficult to incorporate suchmaterial in well
. “Service learning is anintentional and collaborative pedagogical practice that engages students in structured service toaddress an identified community need and help them ‘gain further understanding of coursecontent, a broader appreciation of the discipline, and an enhanced sense of civic responsibility[4]’[5].” Support documents for our QEP go on to highlight the importance of service learningbeing academically integrated with the course learning objectives while focusing oncommunity needs, involvement of the community partner in the design of the service learningproject, the importance of structured student reflection throughout the project, and a preferencefor the service learning experiences to last the majority of the semester. A service
taught six different biology and engineering courses. Dr. Ankeny aspires to employ student engagement strategies in the context of biomedical engineering education in the future. Page 23.837.2 c American Society for Engineering Education, 2013 Just-in-Time-Teaching with Interactive Frequent Formative Feedback (JiTTIFFF or JTF) for Cyber Learning in Core Materials CoursesAbstractIn this new NSF-sponsored Type 2 TUES (Transformation of Undergraduate Engineering inSTEM) project, we are using engagement, assessment, and reflection tools developed in asuccessful CCLI Phase 1 project and are
– theonly instructor guidance is rule clarifications.After the allotted time, students are asked to reflect in groups on their experience. The class thencomes together to share the reflections and a lecture is given regarding the underlying conceptscovered by the impromptu design exercise. Note that the reflection, discussion and lecture arecritical because they solidify the concepts that are somewhat self-taught during the impromptudesign exercise.2.1.1 Motivation for the use of Impromptu Design Exercises: The educational research on designeducation is specifically focused on design as a behavior – that is to say that the act of design is aset of actions that the engineer does [5]. Thus, in order to develop this behavior, engineeringstudents
scalable way across the entire class. Thisprocess provided the opportunity for individual student perspectives, wishes, and experiences tobe considered and incorporated into the group formation activity. Student reflections on the useof generative AI for group formation, including when compared to an opportunity forself-selection of teammates, were mixed with the majority recommending a mixed-methodsapproach of the use of AI but with a “human in the loop” component.IntroductionThis work is inspired by, and builds upon, the many existing techniques and tools currentlysupporting engineering instructors with incorporating teamwork into their classrooms. Thisranges from the forming of teams, overseeing of team dynamics, supporting
(covering objectives, required tools, and instructions), gradingrubrics, and students’ scores. Reflective insights from students highlight not only the successfulcreation of functional Morse code machines but also a profound appreciation for the practicalapplications of Computational Thinking and programming in the realm of Electrical Engineering.Classroom Activities Leading to ProjectIn the second part of the class, students were introduced to Python and various developmentenvironments, including Spyder from Anaconda 3, as well as the Python editor and simulator forthe BBC Micro:Bit. Following the completion of each class module or topic, students wereassigned brief programming exercises. These exercises required the use of Spyder to
engineeringdegree, and whether a student have chosen an engineering discipline to pursue. Several surveysadministered at strategic time points during the semester were used to track level of interest inpursuing engineering and to identify key events that can be consider as precursors to leavingengineering. Reflection essays were also employed to understand how the first semesterexperience affects student’s perception of engineering as a career of choice.An analysis of entrance surveys indicated a high level of interest in pursuing an engineeringdegree in most students surveyed. Key events, such as their first calculus test, triggeredindecision in some of the students. Early results identified a group of students at risk of leavingengineering during the
the water hammer wave is flowing to the right with the steady-state velocity, V; the fluid after the passage of the wave is at rest, but the head is increased by ΔH and the pipe wall distended because of the increased pressure.t = L/a The water hammer wave has reached the pipe entrance where the compression wave is reflected as an expansion wave. The fluid in the pipe is at rest, but the pressure is increased and the pipe wall distended.t = 3/2·L/a The expansion wave (the compression wave reflected from the free surface) is moving to the right and is half way between the pipe entrance and the valve. The fluid, moving to the left
students may be the primary audience for an introductory engineering coursesyllabus, syllabi are used by a wider audience, including university administrators, policymakers, and instructors of higher-level engineering courses. Although a syllabus does notperfectly reflect what happens in the classroom, we assumed that syllabi would provide accuratedetails about the intended goals for a course. All of the syllabi we collected for our study outlinestudent learning outcomes, or the topics and skills that students will learn in the course. In thispaper, we use the term “learning outcomes” to describe this idea for convenience to the reader,however a variety of terms that may have slightly different specific definitions were used acrossthe syllabi
the civic engagement elements of the courseThe course has been taught twice and during each iteration the intentionality of civic engagementhas been revised. During the first iteration, students were introduced to civic engagement as partof the project; however, there was no reflection or assignment to assess how much learning incivic engagement was realized. During the second iteration, students were again introduced tocivic engagement and they were asked to reflect on their experiences and learning as it related tocivic engagement. Table 1 shows the course demographics of the engineering students and thegirl scout participants.Course DemographicsCourse Offering Spring 2023 Spring 2024# of students
change the fundamental operation ofthe department, college, or university system, nor did they significantly transform thequantitative outcomes for the students on the macroscale. The programs did succeed, however, indemonstrating the potential of culturally reflective, human-centered, and resource-richapproaches on supporting students for whom higher education systems in the U.S. were notdesigned. The Eco-STEM project, which is a natural progression of previous programsimplemented in the College of Engineering, Computer Science, and Technology, aims to createstructures and tools that transform the current factory-like educational system into an asset-basedecosystem that better meets the diverse needs of students, faculty, and staff. The
improving the retention of under-performingstudents, but these tools are too labor-intensive for faculty to apply in large introductory courses.Additionally, many struggling students are limited by non-cognitive factors such as fear offailure, social anxiety, and general overwhelm. There is a need for large-format, scalableinstructional tools that both engage students in course material and address non-cognitive factorsin an appropriate way.This Work In Progress will present the effects of a remedial intervention, the “reflectiveknowledge inventory”, at improving student outcomes in Calculus 1. In the intervention, studentsimprove their exam score by submitting a “reflective knowledge inventory”. Expert learnersknow that new skills are best built
engineering students [1], [2], asthis new generation of engineers will need to solve multi-faceted, complex social, technical, andethical issues using interdisciplinary, collaborative, data-driven, and systematic approaches [3],[4].Background and Theoretical FrameworksTo solve these complex, ill-defined social problems, students must first learn the processes anddevelop frameworks for concepts and procedures behind solving well-defined technical problems[5]. One crucial component of problem-solving is metacognition, the process of reflecting onone’s own learning processes including planning, monitoring, and evaluating that learning [6],[7], [8]. Metacognition, commonly referred to as “thinking about thinking,” is essential forself-directed learning
identifying ‘humans’ that may be impacted by research. This is especially a challenge for research projects involving technology. Indeed, many undergraduate research projects at WPI, a predominantly- STEM institution, involve the design, development, test, implementation, analysis, and use of technologies. Techno-centrism (at the expense of a human-centric approach to technology) is not unique to undergraduate research projects. Many of the ethical problems with current commercialized technologies such as facial recognition systems are indeed a reflection of the widespread techno-centrism in the tech industry (Morozov, 2013; Sims, 2017). In such a techno-centric framing, either humans become means to
Engineering Department of Bangladesh University of Engineering and Technology. ©American Society for Engineering Education, 2023 AN INNOVATIVE ACTIVE LEARNING APPROACH IN CIVIL ENGINEERING EDUCATIONAbstract Active learning is an essential tool in STEM education to enhance in-depth knowledge.However, most civil engineering students learn reflectively. These students show lack ofinterests in lecture and remain less interactive. Hence, they neglect many fundamental conceptswhich are difficult to learn effectively through self-study. In this paper, a step-by-step effectiveactive learning method will be introduced which will encourage active learners to become moreattentive as well as will