. Tech.leadership team administered a Qualtrics survey of past and current students (1999-2017) ofprofessional fee-based credit programs who have either graduated or were planned to graduate inthe spring of 2017. The survey asked each recipient to rate their interest in a new Doctor ofTechnology (D. Tech.) degree, on a Likert scale of 0 to 5, where 0 = no interest and 5 = veryinterested.Of the 978 surveys sent, there were 334 respondents (34%). Of the 334 respondents, 219 (66%)were either “very interested” or “interested” in the newly proposed Doctor of Technologyprogram. Of the 334 respondents, 80 (24%) said they “might have an interest” in the newlyproposed program. Figure 1 below depicts the number of respondents per Likert selection
displays of student work gauging the students’ learning outcomes. Following an extensive and iterative effort of consultation with different stakeholders conducted through a series of workshops and listening to different focus groups, ACCE settled on a list of 20 SLOs (ACCE, 2022). Some of the learning outcomes are direct and easily measured, particularly at the highest level, “Create,” which includes deliverables such as a construction project safety plan, construction project cost estimates, and construction project schedules (SLO’s 3, 4, and 5, respectively). On the other hand, some of the outcomes are not as directly or easily measured, and the design and application of role‐playing are intricate and have caused some ambiguity
online (Zoom) workshops for their mentees following instructor-provided lesson plans [2]. These synchronous workshops supplemented asynchronous didacticcontent by the faculty instructors that was released weekly to the students. All students wererequired to attend these workshops. Each synchronous workshop summarized key concepts fromthat week’s lectures and featured two breakout sessions where students worked in their assignedproject teams to plan and conduct a portion of the week’s major assignments. Prior work by ourgroup demonstrated how course experiences and learning outcomes were preserved for our large-enrollment class in an online format [2], we thus retained the peer leader-led small groupsessions when in-person learning resumed in
, planned quarterly shutdowns, and work on cap-ex projects. The mine shut down in 2016 and I want back to school at The University of Minnesota - Duluth and earned my M.E. in Industrial Engineering with a minor in Engineering Management. I also earned my black belt in Six Sigma. I'm currently working as a an engineering instructor for Minnesota North at the Mesabi Campus, where I teach first and second year engineering students.Frankie K. Wood-Black (Division Chair, Eng., Phys. Sci. and PTEC)Liz Cox © American Society for Engineering Education, 2022 Powered by www.slayte.com Building Partnerships to Bridge the Transfer Gap and Increase
science mission of theirchoosing for a 1U CubeSat based on an Arduino Uno microcontroller platform. Teams areprovided identical Arduino sensor kits and are tasked with identifying suitable additionalhardware and software within cost, weight and volume constraints, meeting their unique missionobjectives. A total of 15 hours of virtual learning content are provided to motivate and guidelearners through multiple skill development modules. Teams then submit a preliminary designreport (PDR) detailing their designs, their mission success criteria and operational plans forcompetition judging. Finalists are invited to the University of Southern Maine to build theirdesigns and test them prior to a high-altitude balloon launch.2.0 Methods2.1
about who their customer is, what needs the customerhas, and how to meet them. In other words, they are developing an entrepreneurial mindset [2].In order to meet this shift in societal thinking, the importance of exposure to engineering [3] andentrepreneurship earlier in education increases. In this study, Science, Technology, Engineering,and Mathematics (STEM) Pre-Service Teachers (PSTs) enrolled in an engineering educationcourse where they completed an entrepreneurial Problem-Based Learning (PBL) unit. ThroughPSTs’ reflections, post-assessments, and lesson plans, we gathered their perceptions regardingthe integration of entrepreneurial mindset within their content and future teaching. The researchquestions we investigated are: 1
implementation of ECE Discovery Studio was driven by two compoundingmotivations to address student needs. First, while the adoption of a threaded curriculum modelaffords students incredible flexibility in designing their own undergraduate degree program, theSchool needed to also provide students with a foundation to navigate the curriculum given itsmyriad choices. Furthermore, this foundational knowledge must extend beyond traditionalacademic planning. Students need to explore the broader field of electrical and computerengineering with respect to the “big ideas” in the discipline, relevant career options, and areas ofresearch to build an understanding of the fields of electrical and computer engineering in the realworld.Additionally, the School of
$4000 per semester for studentteams through the annual New Venture Competition [5]. For a student team to be awarded, the team mustbe multidisciplinary, organized into a company and submit a preliminary business plan and have advisorsfrom both HMRCOE and the Rohrer College of Business and an advisor from industry.Engineering entrepreneurship education is relatively new and not quite standardized. Though all theentrepreneurship projects running in our lab can be categorized under experiential learning, the projectsvary in many aspects of entrepreneurship education. Overall, our lab emphasizes creativity, feasibilityanalysis, product development, catalyzing change, seizing opportunities, honing skills in communication,leadership, and teamwork
hands on experience is so vital in the learning process.Purchasing through the department proved to not be the most efficient process. All purchasescharged directly to the department were made by the department chair via the one departmentcredit card. These were then shipped to the department and distributed to the teams by the courseprofessor. While this assured accountability of university funds, it limited the times the studentscould receive parts and work on their tunnels. While shipping times are a constraint that is out ofthe control of the department, the plan is to revise the purchasing process in order to reduce thelag time and stress of all parties involved. For example, with the current students all partsrequests were complied and
, stakeholders, and consequences. We asked interviewees to provide the finalindicator—ethical issues. Using a qualitative content analysis, we found that intervieweesconnected several ethical issues with the primary consequence of socioeconomic inequities.Identified ethical issues included topics of climate change, infrastructure, disaster planning, andcorporate/government accountability. Implications of this study include recommendations forfuture moral sensitivity research and applications to improve classroom learning.IntroductionDisasters are increasingly threatening our lives. In 2021 alone, the United States experienced 20weather and climate disaster events with losses exceeding $1 billion and over 600 lives [1]. Inaddition to physical losses
, or other modalities) have its own strengths and weaknesses, especially whenconsidered as part of a four-year degree plan, there is also no single best method to evaluate aspecific modality. Hess and Fore argue that in order to have an effective intervention, authors needto clearly describe the pedagogy, content, and evaluation of their intervention [12]. Having thesefactors clarified beforehand helps them understand the efficacy of the intervention and determinestudent learning outcomes. According to the study by Hess and Fore, some ethical interventionsare inserted directly into the curriculum of a technical course, some take a semester long-approach,while other interventions are for a day or two [12]. Learning goals of these interventions
research opportunities. Themultidisciplinary team approach the program adopted for RET projects was designed to highlightthe importance of integrating knowledge, skills, and processes from science, technology,engineering, and mathematics to achieve successful innovations. The program’s specific focuson rural applications was intended to create new integrated STEM curricula in rural schools thatdemonstrate STEM applications to real world issues familiar to rural students and to highlightpotential benefits to rural communities.ITS-RET research experiences were designed to allow participants to take ownership of theirresearch work. After project orientation with their mentors, each research team submitted aproject work plan at the end of the first
; Implementation PlanningTool provided by CSforALL [5]. The tool and the workshop enabled schools to reflect on theirown community values, beliefs, resources, and needs to develop a feasible plan for implement-ing sustainable Computer Science (CS) and Cybersecurity curriculum. Each of the teams left theworkshop with a comprehensive 3-month, 6-month, and one-year plan for implementation. Theworkshop also had sessions for guidance counselors, teachers, JROTC instructors, and admin-istrators to provide guidance and resources for their schools. The workshop was also precededby one-day congressional visits from teams from 10 schools to inform policymakers about theJROTC-CS initiative.Post-workshop activities included webinars to support the schools
COVID-19 Prior to the COVID-19 pandemic, we operated under two primary modalities: visiting localschools and hosting events on campus at the University of Michigan. The primary audience forboth types of outreach were middle school students. Though these formats varied in logisticalconsiderations such as space and equipment use, they shared key attributes of being highlyinteractive, employing standards-based lesson plans, and framing concepts to be relatable to“novice” audiences. A more thorough description of these modalities is described in AppendixA. With the onset of COVID-19 and the pivot to remote learning, we could no longer rely oneither of these models for our outreach activities, but instead sought to incorporate strengths ofboth
. It was found thatthe industrial engineering student projects studied attempt to solve problems from an academicperspective, a perspective which lacks the crucial, “authentic” factors that any real-worldengineering solution should have. Students hold greater emphasis on the use of the industrialengineering tools demonstrated in class, and their design plans follow the processes described intheir coursework despite the “limited breadth” in which the problem space is explored usingthose tools. The result of this study emphasizes the disconnect between the intended goal ofSenior Design as a demonstration of a student's ability to solve realistic problems and howstudents apply their academic knowledge to these realistic problems.In another study
. Furthermore, increased willingness to seek help could improve mental health in theengineering workforce. As a first step, this project aims to use a mixed-methods approach todesign and refine an instrument to identify key mental health related help-seeking beliefs inundergraduate engineering students. In doing this, the study aims to address the followingresearch questions: RQ1 What are engineering students’ beliefs about using mental health services? RQ2 How should engineering students’ help-seeking beliefs be measured via a self- report research instrument?To address these research questions, we designed a two-stage research plan that was guided byour theoretical framework, the integrated behavior model (IBM) (Figure 1).Figure 1
- Closed Loop”, and“Solar Site Analysis Learning System” demonstrated in Figures 3, 4, 5, and 6, respectively [5].These products include both equipment and multimedia software, which provides a series oflaboratory instructions that were used to develop the laboratory manual. Moreover, the textbook“Understanding Photovoltaics: An Easy-to-follow Study Guide for Solar Electric CertificationPrograms” by Jay Warmke [6] was used to develop the lecture notes. Fig 3. Solar PV Installation [5]. Fig 4. Solar PV Troubleshooting [5]. Fig 5. Solar Thermal Troubleshooting [5]. Fig 6. Solar Site Analysis [5].The new course at NJIT, “Solar PV Planning and Installation”, is a three credit hours course withtwo hours per week of
]. While scholars have documented curriculum and pedagogyintended to develop lifelong learning competencies in engineering students [8][20], assessmentmethods are typically short-term and tied to a particular course. On the other hand, studies ofalumni have provided some insight into career trajectories [1] and workplace learning factors[14][15], but rarely connect these outcomes back to undergraduate experiences of a completeprogram.2.2 Assessing Long-Term Program ImpactsIdentifying the impacts of engineering programs for graduates is a challenging area of research.As a theoretical framework, we use the Planned-Enacted-Experienced model of curriculum [21]which is a student-centred, process-oriented conception appropriate for studying program
regulate them, the more effective they will be at learning. Because it is askill that experts, in contrast to novices, routinely employ in problem solving, a key strategy inteaching learners to “think like experts” is to scaffold metacognitive thinking [2][9].While there are multiple ways of conceptualizing metacognition, a common frameworkdistinguishes metacognitive knowledge (MK), which includes knowledge of and beliefs aboutpersons, tasks, and strategies, from metacognitive regulation (MR), which includes themonitoring, planning, evaluation, and control of one’s learning [10][11]. When it comes toobserving and evaluating metacognitive indicators, there are a variety of approaches that havebeen employed, all with attendant benefits and
1657553, developed lesson plans that combine computer science content standards,IEFA Essential Understandings (EUs), and other (non-CS) Montana content standards by usingstorytelling [10–12]. This was achieved through the use of the drag-and-drop programmingenvironment Alice, a programming environment that allows users to animate a virtual 3D worldand made freely available by Carnegie Mellon University. Using Alice and custom made 3Dmodels, students animate stories from Montana tribes that have been vetted by OPI, and usestorytelling as a culturally responsive way to engage middle school American Indian and ruralMontana students in learning computer science.The second project, E-STITCH, was from Utah State University (USU) and was funded
115: Intro to STEM Teaching) and one designed as a service-learningcourse for engineering undergraduate students (EF 327: Engineering Design in K-12 Education),are taught together by a team of instructors from both the Engineering Fundamentals (EF)division and the department of theory and practice in teacher education (TPTE).In this combined course, students learn about the field of engineering and how it can beincorporated into K-12 STEM teaching, as well as learning about how to teach effectively andhow to create instructional materials. They complete a series of service-learning projects thatinclude working directly with K-12 students and families at community outreach events anddeveloping videos and lesson plans that can be used to teach
effective behavioral strategies to achieve them (Kuhl, 1992). An action-oriented person is able to enact planned activities that result in goal attainment, such as studyingin advance for an exam. State-orientation represents a break-down in cognitive regulation thatallows goal progress. This can occur in three ways: Hesitation is procrastination and havingtrouble starting something like writing a paper. Preoccupation is difficulty in getting back towork after a distraction, such as receiving a text from a friend. Volatility is stopping an activitydue to boredom or lost interest. The purpose of this research was to determine if the action-state orientation ofengineering students would relate to their studying behavior. We hypothesized that
sociotechnical engineering courses, and aconcentration of their choosing [35]. The majority of students who participated in this study werepursuing the sustainability concentration, however students can also choose a concentration inbiomedical engineering, embedded software, law, or an individual plan of study.MethodsIn Spring 2021, we interviewed five students (out of the nine enrolled in the class) at the end ofthe course using a semi-structured protocol that probed their motivation(s) for choosing anengineering major, as well as their perceptions about engineering and engineers. We asked thestudents: • Q1: Why did you choose to major in engineering? • Q2: How do you define engineering? • Q3: Please describe an engineer. • Q4: What
Curriculum Development Table 2 comprises modules for a course plan which can be adopted by the instructor toteach the concepts of reinforcement learning or adapted for the purpose of laboratory activities.Each module is numbered in chronological order. The time column indicates the time taken bythe module as a percentage of the total time available for the course. Modules 1, 4, 6: In these three modules, the emphasis is on a brief introduction to theterminology and methodology and the steps to create the agent and model. The lecture time isnecessary to attach meaningful associations to the context of the module. The main shortfall oflectures is that they tend to overly teach specific material that would likely never be retained bymost
, which engineering discipline to pursue as a major. The real-world engineering elementsinclude teamwork, budgeting, project planning, oral and written communication, documenting,microcontroller programming, prototype construction, and electrical wiring. All of theseexperiences are incorporated within the overall design, testing, and refining of the robot.This course has been offered for over two decades and continues to evolve. It has alwaysincluded required performance tests at relatively regular intervals. These are to help keep theteams progressing on a reasonable schedule, but also to help them determine whether theirproduct is performing as intended. Instructor observations revealed that many teams wereapproaching the performance tests
mechanical engineers fulfill, including “engineering duties in planning and designing tools, engines, machines, and other mechanically functioning equipment” or products [8]. Manufacturing engineers “design, integrate, orimprove manufacturing systems or related processes” [9] .Lastly, machinists “set up and operate a variety of machine tools to produce precision parts and instruments out of metal” including both CNC programmers and operators, and they also produce parts using newer manufacturing methods such as additive and/or hybrid manufacturing [10]. Methods A desk research outline was created to help guide the literature search and discovery process. The literature search included academic and gray literature from 2018-2021 Strategic documents
conferencing platform, and two team members transcribed the interviewtext (the interviewer and the first author). As a starting point for transcription, we used the auto-generated WebEx transcripts, and then edited the transcripts for correctness while watching theinterviews.Interview ProtocolThe semi-structured interview protocol consisted of 16 planned, open-ended questions, as well asiterative probes to elicit further information pertaining to each question. Sample questions areincluded below: 1. What types of teaching styles (e.g., lecture, project-based, group-based, other active learning) were you exposed to in online learning? What did you like or dislike about them? 2. What communities are you a part of at the university? a
my knowledge slightly. I had heard about most of the issues but not really gone in depth. The class forced me to go more in depth. • I feel like I already knew about these issues. I'd say it reinforced my ideas, but didn't expand my knowledge.In general, it appears that most students felt the course did expand their knowledge. Inpart based on these responses, we plan to refine the course next year by going intomore depth.Conclusions and Future WorkBased on student evaluations, assignments, and surveys, it appears students arefinding the course to be valuable. The current quarter will end before the next papersubmission deadline allowing us to add end-of-course survey results. In those surveyswe plan to drill down more into
College (TCC). This ten-week long quarter-system Calculus 2 course focuses on integration techniques and applications. All data collectionoccurred during fall 2020 – winter 2022 with asynchronous online learning as the only option atall three sites due to the respective colleges’ operations plans amidst the COVID-19 pandemic.During the study, each instructor taught at least one control section and one intervention section,some ultimately teaching multiple sections with each condition over the study duration. For theintervention sections, we provided instructors with a scaled down take-home version of a seriesof models we initially developed as a basis for active learning in face-to-face instruction [10].We reported last year on modifications we
course was taught in Summer 2021. Out of 17 students,9 were non-engineering majors, 5 were different engineering majors, and 3 were nuclearengineering majors. The students registered were from a wide range of majors including history,philosophy, plant science, as well as several engineering disciplines. The second offering in Fall2021 had a similar composition, with a slightly higher percentage of nuclear engineering majors.This was expected since the recommended semester-by-semester plan for nuclear engineeringmajors includes ENU1000 in the fall semester.Instructor ReflectionsWhile it may initially seem that the wide range of student backgrounds and interests may presenta pedagogical problem, this did not turn out to be the case. Results from