in 2024. This camp is a two-week camp. During the first week, a group of HSTAteachers come to campus to learn about the activities with faculty, meet the mentors, and explorethe campus. The goal of this week is 1) to help teachers prepare to help teach the lesson plans ofthe camp to students, 2) build a database of activities that they can use in the future in theirclassrooms, 3) further their confidence in STEM. The second week students attend the campwhich is broken into three components: STEM activities, a team-building project, andexploration of the regional area.ChallengesRunning these summer programs requires year-round duties of a faculty member to prepare forthe summer months. Responsibilities for the organization of these camps fall
accrediting agencies, institutional influences of college missionsand resources, and unit-level influences of faculty, discipline, and student characteristics. Starkalso created the Contextual Filters Model that provides an overview of the various contexts thatinfluence course planning for college faculty (Lattuca & Stark, 2011; Stark, 2000; Stark et al.,1988). A study by Lund and Stains examines unique environments and contexts of departmentsin influencing STEM faculty’s teaching practices and finds that disciplinary differences exist andhave shown potential associations to level of adoption of evidence-based instructional practices(2015). Another study shows similar findings where faculty’s teaching practices differ based onthe contexts they
. Test Plan and ResultsIn order to test the system, the ladder logic program was written and downloaded to thePLC. After a successful download, the PLC was reset and tested for correctness. This is avery simple process of flipping a switch on or off to simulate parts passing the sensor,etc. If the ladder logic program is not correct, the PLC will either not function at all, orthe results will not be correct. This makes it fairly easy to debug.The program worked exactly as planned in the end. A switch was thrown to simulate theproximity sensor counting. When the switch was thrown the programmed amount oftimes, the robot was set into motion. This is simulated by a light on the PLC lighting up.When the time elapsed for the robot to take the tray to
they learn in a classroom environment and its reflection in professional applications. In addition, this collaboration bridges the gap between academia and industry. This semester was spent towards building a positive working relationship with industry. As the course is offered only once a calendar year, we will implement the plans generated by these ideas in Fall 2005. Proceedings of the 2005 ASEE Gulf-Southwest Annual Conference Texas A&M University-Corpus Christi Copyright © 2005, American Society for Engineering Education Future Approaches: 1. Guest lecturers from local companies: Invite the project manager or a company representative to spend a
research on workload assess- ment. Dr. Pennathur has also been recently awarded two grants from the National Science Foundation in Engineering Education. In one of the grants, he is modeling how engineering faculty plan for their instruction. In a second grant, he is developing a model for institutional transformation in engineering which balances access and excellence. Dr. Pennathur is the author/co-author of over 100 publications in industrial engineering and human factors engineering. He is on the editorial board of the International Journal of Industrial Ergonomics, among other journals.Priyadarshini PennathurProf. Nicholas A Bowman, University of Iowa Nicholas A. Bowman is the Mary Louise Petersen Chair in Higher
: cosψ x1 = sin θ x sin θ 1 cos (φ1 − φ x ) + cos θ x cos θ 1 cosψ x 2 = sin θ x sin θ 2 cos (φ 2 − φ x ) + cos θ x cos θ 2 (4) cosψ x3 = sin θ x sin θ 3 cos (φ 3 − φ x ) + cos θ x cos θ 3We will arrange three detectors on a horizontal plane. The x-axis will be aligned with thenorth, y-axis with the west and z-axis with the zenith directions. Fig. 3 shows the plan ofthe detectors’ positions. It is assumed that the source illuminates the three detectorsequally. N 1 W E
to the stages of self-regulated learning,i.e., planning, performance, and self-reflection.Results: Results indicate that students had prior knowledge of project management but lackedfamiliarity with the research process. Students encountered project management challenges, buteffective communication and clear goal setting were key strategies in meeting deadlines andcompleting coursework. Students valued collaboration and continuous mentoring, and the coursehad a positive impact on students' understanding and interest in research, as well as theirdevelopment of transferable skills for future practice. Overall, this study highlights theimportance of project management skills and mentorship in promoting self-regulated learningand research skills
the first-year experience.Backward Design and the CAP modelThe backward design of curricular development starts with the basic idea of starting from the end, wherewe envision our students to be after the learning experience we are designing [4]. Its central premise isthat once the educational purposes (i.e., the learning outcomes) of a learning experience areconscientiously selected, the rest of the elements of the experience (i.e., the pedagogical activities, andcorresponding assessments) should be designed toward the achievement of those identified outcomes [5].Therefore, the three main stages of backward design are: (1) identifying desired results, (2) determiningacceptable evidence, and (3) planning learning experiences and instruction
twenty-eight undergraduateagricultural and biological engineering students’ self-ratings of their proficiency level withlearning objectives following weekly assignments in a process engineering course. Theseresponses, in conjunction with results from the learning-objective based grading of students’work by the teaching assistant were analyzed to determine patterns in students’ learning needs asthe semester progressed. Examples of inferences about students’ struggles that the instructordrew from the results of students' self-ratings and actions that the instructor made or plans to takeare discussed.I. IntroductionUniversity instructors write course learning objectives, and they may even use these as a guide todesigning their instruction as
test board served as key component in making hands-on experiments of the course in a remote setting possible. The remote experiments, testing, and evaluations were done following a formal and methodic approach, instead of ad hoc practices. In general, this approach led to effective and efficient experiments, and also served as a model to think creatively and methodically for solving engineering problems and planning prototype development. Overall, the design and use of the test board proved instrumental in the successful remote delivery of our digital laboratory course such that all the previous in person course experiments were completed in the online course without any limitations and the course’s educational outcomes were
Undergraduate Programs in the Depart- ment of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC). She has been active in improving undergraduate education including developing laboratories to enhance experimental design skills and mentoring and guiding student teams through the capstone design and a translational course following capstone design. In her Director role, she works closely with the departmental leadership to manage the undergraduate program including: developing course offering plan, chairing the undergrad- uate curriculum committee, reviewing and approving course articulations for study abroad, serving as Chief Advisor, and representing the department at the college level meetings. She is
second, morein-depth, course to the curriculum. This response reveals a need for further investigation intodifferent aspects of transportation engineering curricula, specifically looking into the degree towhich secondary courses are present in civil engineering programs seven years down the road.Aside from course structure, specific concepts covered in transportation engineering is anothertopic of interest among researchers. Transportation engineering is a large field encompassingmany different sub-fields; e.g., transportation planning, roadway design, travel behavior, policy,and traffic operations, among others. Recent work aimed to uncover how different professionalsprioritize what topics students cover in their transportation engineering
. However, in recent years, many of the manufacturing-related machines haveevolved to be non-hands-on. Consequently, more time is spend planning the process, for instancein CAD/CAM environments. The analysis of data is becoming more important in recent years aswell. Not just since the rise of Industry 4.0 is the number of sensors steadily increasing,generating an ever bigger amount of data. Along with this trend, the learning goals of laboratorycourses shift accordingly – from manual operation of machines towards process planning,observation and data analysis. This enables to use of so-called remote laboratories as part offlipped laboratory concepts, given their shifted focus of achievable learning outcomes [2], [6].Such remote laboratories are
at least they have a limitedunderstanding) what surveying engineering is. This has created enrollment challenges in manysurveying programs e.g., [4], [12], [27], [28]. It is worth mentioning that some surveyingprograms (undergraduate and/or graduate) that have developed online programs haveexperienced great success [29]-[31]. In our previous work we surveyed current students andalumni, focusing on the reasons why they selected surveying as a career and how they learnedabout surveying [12]. While the survey provided many insights that are useful in refining ourrecruitment plans, current surveying students and alumni provide half of the picture, becausethey have already selected surveying as a career. They were able to learn about surveying
moment delivered in one of multiple formats, including presentations, a discussion, videos, orinteractive content. Sometimes we select topics that are relevant to the class session, e.g., cement burnswhen discussing concrete or crane safety when discussing construction site planning. But other times weselect general safety, health or wellbeing topics of importance to the students. Examples include CPR, activeshooter safety, bicycle safety, drowsy driving, and stress management, to name a few. Figure 1 includessample slides from two safety moments. The top slides are focused on a building industry related topic, laddersafety, while the bottom slides are a more personal topic, cooking safety and fire hazards associated withcooking on a stove, a
the kits (only photo diagrams of the proper configurations were provided). Onestudent suggested; “Some more in-depth questions (the TA was very good about prodding ourgroup to continue to think about the problem) could be included at the end to help withunderstanding beyond the base level.” Overall, the trend of student feedback providesencouraging justification to continue development of this activity and the accompanying hands-on components. In the future, we plan to investigate the students’ cognitive gain regarding rigidbody kinematics through pre and post activity assessments.AcknowledgmentsThis work was funded in part by the California Governor’s Office of Planning and Research aspart of the Learning Lab (https://calearninglab.org
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
|10⟩ state in a 2-qubit space. At the top is thequantum circuit, and below is the histogram of measurement outcomes for 1024 runs of thismeasurement.CONCLUSIONS AND FUTURE WORKThis paper summarizes the creation of a new quantum computer engineering course using anopen access quantum computer to facilitate learning. Based on the results from teaching the firstsemester of this course, I plan to refine and improve the overall course. One key goal is toincorporate more hands-on exercises with quantum computers. The graduate-level students wererequired to complete more computing exercises compared to the senior-level students, and thefeedback from the graduate students was that they understood the concepts better afterperforming the exercises. My
retirement and other exits.As a result, there is a need for a well-structured unifying platform that can bring together andconnect numerous stakeholders through a common source of information sharing. This can beaccomplished by creating a well-planned timetable for in-person or video conferencingengagements.METHODOLOGYThe study examining the collaborative efforts between secondary (high school) and post-secondary (college or university) education institutions and construction industry professionalswith the aim of boosting construction workforce was designed with a methodology framework(see Figure 2) which uses a teaching platform that enables the instruction of multiple classroomsthrough videoconferencing technology.Figure 2: Methodology Framework
least one filter that takes more than ten minutes to filter enough water to measure turbidity,which makes it challenging to determine a winner before class ends.In the most recent version of the spy gadget challenge, about 75% of the teams had a workingprototype to share with their classmates. Those who did not achieve their desired functionalitystill had made enough progress that they could convey their intentions. Most of the teamswithout a working prototype either did not arrive to class with a plan or had a plan that wasoverly complex. Students greatly enjoy the interactions in the poster format and leave positivefeedback for their classmates.Even with room for improvement (discussed below), the faculty’s informal observations indicatethat
implementation for a solution they didn’tunderstand. This unsurprisingly lead to a jumble of error-riddled code that was as difficult forgraders to decipher as it was for the authors to describe.Future WorkThe pilot and first revision of this course focused on identifying and assembling a reasonablesequence of content, activities, and assessment. In the next revision we plan to make the links tocomputational thinking more explicit and build more synergy between existing physics conceptsand data analysis through complementary lab activities. We hope this provides a balance that canhelp reduce the tension between need for abstraction and motivation that comes more naturallyfrom concrete application. To assess these changes we plan to administer a survey
Paper ID #40594Sustainability and Life Cycle Assessment in Engineering CurriculumMs. Madeline Fisher, Ohio Northern UniversityMr. Evan Budnik, Ohio Northern University Evan Budnik is a Civil engineering student planning on studying enviromental engineering. He is focous- ing on water recources and water management engineering.Mr. Brady HarmonDr. Lauren H. Logan, Ohio Northern University Lauren H. Logan is an assistant professor of civil and environmental engineering at Ohio Northern Uni- versity. Her research focuses on the interconnection of water and energy, as well as life cycle assessment within engineering education
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