thisproblem empirically through active exploration in the game’s digital environment. Whileplaying, after learning about the tasks, equipment, and constraints of the game through a demo,the students will plan a preliminary strategy and guess a start time for each piece of equipment,observe the outcomes of their decisions, receive feedback from the game, adjust their strategy,and keep trying until they achieve the goal. They are also required to explain their observationsand strategies through the game’s debriefing mechanism. Particularly, when a user achieves thegoal, the debriefing mechanism will ask the user to come up with a systematic approach to solvethis type of problem. After recording the response, the game will show a velocity diagramcreated
, with most waiting for others to askquestions they didn't know they needed answering. Sessions transitioned to advertised topics,creating breakout rooms for more lengthy questions and sharing planned information in a lessformal setting. These were also not well attended, with 2 or 3 faculty and 5 or 6 staff fromeSAIL. One issue was the quick turnaround time of the workshops after advertising them.Feedback from these first Q&A sessions showed the need for more developed webinars with astructured agenda. Staff was divided up to improve services and workshop offerings, andwebinars were planned at different times during the day and week. Feedback from the Q&Asessions and web analytics were used at this time to come up with a curriculum that
offeringseveral final observations about the opportunities and obstacles to successful Cohort Challenges,as well as our future plans to support others who want to design and deliver this mode ofgraduate education.I. Introduction The interest in “wicked problems” in science and engineering reflects a growingrecognition that the most pressing technological needs of the 21st century do not fall neatly intoany single discipline. Because they sit at the intersection of many competing disciplines andinterests, wicked problems defy easy definition or solution [1]. Rather, they demand challenge-centered research that requires the collaboration of the full range of traditional scientific fields,as well as an understanding that those challenges arise in
active learning exercise usingactual motion analysis software to conduct a hypothesis-driven experiment to characterize howjump height is affected by knee flexion angle (Figure 1, right). For this last step, students usetheir teammates as subjects, apply optical body and field calibration markers, collect video dataof standing jump(s) with a webcam or cell phone, and utilize a free, open-source planar motionanalysis platform (Kinovea v0.9.5) to determine knee flexion angle and jump height.Figure 1: (left) Slide from provided instructor lesson plan illustrating for students the clinicaland sports-related applications of human motion analysis; (middle) Example solution for studentactivity applying basic math (e.g., geometry and scale) to planar
, Nov. 2020.[4] D. Brookshire and N. Kaza, “Planning for seven generations: Energy planning of American Indian tribes,” Energy Policy, vol. 62, pp. 1506–1514, Nov. 2013.[5] L. A. Gelles, J. A. Mejia, S. M. Lord, G. D. Hoople, and D. A. Chen, “Is It All about Efficiency? Exploring Students’ Conceptualizations of Sustainability in an Introductory Energy Course,” Sustain. Sci. Pract. Policy, vol. 13, no. 13, p. 7188, Jun. 2021.[6] R. W. Kimmerer, Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge and the Teachings of Plants. Milkweed Editions, 2013.[7] G. D. Hoople and A. Choi-Fitzpatrick, “Drones for Good: How to Bring Sociotechnical Thinking into the Classroom,” Synthesis Lectures on, 2020, [Online]. Available
grade in the course.The second strategy revealed that these students have an equal rate of succeeding in Calculus Ion their next attempt. Another early alert system was implemented in a Mechanics of Materialscourse [6]. The model developed a method for detecting students at risk of failing and helpingthem plan proactive approaches to be successful. It also predicted the performance of thestudents with exceptional accuracy. In a 2021 study [7], a comparison of students who completedproactive intervention behavior modules revealed a significant correlation between the numberof modules completed and the final grade obtained in the course.The purpose of this paper is to investigate the potential impact of an Early Alert & InterventionSystem
competition in detail, including goals,implementation, and challenges. The paper also discusses the challenges introduced by theCOVID pandemic and how the event was moved to a virtual platform to ensure social distancing.Finally, lessons learned and future plans are presented. IntroductionIt is currently well understood that team competitions are an important component of engineeringeducation1-3 and support education in teaming, communications, leadership, design and open-ended problem solving. While classroom and laboratory learning are the backbone of engineeringeducation, extracurricular competitions, especially those that involve teaming, are an excellentway to augment learning. Not only does competition
collaboration.Two junior (tenure-track) faculty members, after experiencing nearly a year of uncertainty andangst based on changing university requirements for class modalities [Johnson et al., 2020], animpending student enrollment cliff [ACE, 2020], and the potential of serious illness or death tothemselves or loved ones, came together in Spring 2021 to plan and deliver a highlysynchronized and remote introductory engineering mechanics course. At the forefront of theirplanning was that their instructional approaches would be resilient against any number ofuncertainties and unknowns, including institutional guidance that one would serve as a backupinstructor should serious illness or death befall the other. What emerged from this collaborativeteaching
collaborates with NEWT’s Innovation Ecosystem Director, and the Student Leadership Council in the planning of educational and professional development opportunities for NEWT graduate students and postdocs. At Rice, Jorge is an Adjunct Professor in the Civil & Environmental Engineering and Bioengineering Departments, where he developed and teaches CEVE/GLHT 314: Sustainable Water Purification for the Developing World, a project-based course on sustainable strategies for safe water supply in low-income and developing regions of the world. He advises undergraduate students in other project-based courses at Rice, and he works with the Center for Civic Leadership in the development of activities to promote student community
IndustrialEngineering senior design course. Survey data collected before and after two semesters of an IndustrialEngineering senior design capstone course serve as the basis of the summary data. In this paper, we focuson student preferences of project topics before the start of the course as a key factor and the correspondingperception of the course at its conclusion as measures of the course outcome. While left for our ongoingresearch and data collection, the following are examples of factors that we plan to evaluate for potentialsignificance to course outcomes: measures of team dynamics collected during peer evaluations throughoutthe semester; student personality traits determined by a DiSC® assessment completed by each student;student preferences for
specialaccommodations for an instructor. Prior to pandemic protocols, engineering faculty on occasionrecorded voice-over-Powerpoint lectures and some labs as supplemental content for otherwiseface-to-face courses. Engineering faculty at The Citadel are well-trained in in-personpedagogical best practices thanks in part to mini-ExCEEd workshops [2], as well as onlineinstruction, which is offered as professional development through The Citadel’s Center forExcellence in Instruction, Teaching, Learning, and Distance Education (CEITL&DE). Similarcenters operate within higher education Institutions across America, and even with regularfaculty trainings, it is well known and acknowledged that an instructor faces a daunting timemanagement task when planning for
• Write/use code to solve specific problems • Write/use advanced coding functions to optimize problem solving • Use math to solve everyday problems • Apply advanced math (calculus or linear algebra) to solve problems • Explain the role and value of math to othersBased on the results, we consider Factor 1 to be AMDS Tools/Procedures and Factor 2 to beProblem Solving. Based on the classical item analysis, we plan to rerun the analysis by removingthose items that are potentially problematic. 6 Figure 2: Scree plot for AMDS Self-Efficacy ScaleAMDS Mindset Scale (General): The data indicated three potential factors for this scale witheigenvalues
researchers in STEM. For example, we found strategies thatworked best for us but also recognized this list might not be universal. In open conversationswith neurodivergent individuals, we have learned these approaches create additional supportneeded to support the success of neurodivergent and neurotypical individuals: - Individual meetings where students can lead the conversation - Informal interaction through slack or text to reduce anxiety and promote communication - Recognizing and allowing every student to progress at their own pace - An open dialog, or safe space, to discuss criticisms on mentoring in both directions (student-to-faculty and faculty-to-student) - Semester strategic plan created with the student, but
early college credits are earned or transferred to these universities,they often fall outside the student’s plan of study, or count as elective credits, doing little to reducetheir workload while in college [1]. This paper, however, highlights a novel case of a dual creditmodel, referred to as the facilitator model, for first-year design courses. The case presentedoutlines procedures for developing and implementing such a model within engineering andtechnology programs. While this may not be the same process at each university, hopefully thisprovides some guidance to help navigate such a task. The facilitator model is a relatively newmodel for dual credit that was recently piloted with a cohort of high school juniors and seniors [2].For this
of NSF CISE "EAGER: An Accessible Coding Curriculum for Engaging Underserved Students with Special Needs in Afterschool Programs"; co-PI of NSF INCLUDES: South East Alliance for Persons with Disabilities in STEM, Co-PI of NSF CE 21 Collaborative Research: Planning Grant: Computer Science for All (CS4ALL)). Dr. Marghitu was also PI of grants from Center for Woman in Information Technology, Daniel F. Breeden Endowment for Faculty Enhancement, AccessComputing Alliance, Computer Science Collaboration Project, Microsoft Fuse Research, Altova Co., and Pearson Education Publishing Co. Dr. Marghitu has mentored over one thousand high school, computing undergraduate, graduate students including representatives of
activities, experiences with students working oninterdisciplinary community engagement projects, guidelines on how to better and moreeffectively interact with stakeholders, lessons on assessment of student progress (along withwarning signs of imminent trouble), and planned actions to improve student success outcomes.Tags: S-STEM, retention, scholarships, diversity, student success, broadening participation inengineeringSection I: Overview of the SEECS ProgramGannon University is a private, four-year Catholic university, dedicated to providing a liberalarts education integrated with professional skills and faith-based learning. Gannon offers 6associate's, 67 bachelor’s, 29 master's, and 6 doctoral degrees, with approximately 4,700 students(3,200
intelligent engineering tasks such asdecision making, problem-solving, and machine learning. New educational modules developedfor the Fall 2021 semester include (1) genetic algorithms for design optimization; (2)classification via machine learning; (3) convolutional neural network and its application forimage processing; (4) signal analyses and fault diagnosis; and (5) reinforcement learning formotion planning. Each module consists of concept explanation, algorithm delivery, real-worldapplication, and python sample codes. The modules can be used as the reference for students incourse projects (not limited to ME:4150) and capstone projects.A project on image-based ship classification was added to the course. Students were required todownload pictures
. 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
provided was in the area of structural engineering. Nine students were selected toparticipate in the Site; four students selected were from institutions outside Cincinnati, and five wereselected from UC. These included three women, one Native American male, one Hispanic male, oneAfrican American male, and three white American male students, and each group worked on a separateproject during the two summer months. Each group were supervised by the Project Director (author)and a Faculty Mentor, one Graduate Student Mentor (Research Assistant), and a Lab Technicianduring the complete duration of the REU Site. The whole research program was planned and conducted,the details of the projects selected for the students, and procedures were used to evaluate
building, or their homes, and theylearned different methods to analyze the results. We also engaged teachers in themapping and evaluation of control systems in either their school facilities or theirhomes to manage heating, cooling, and fresh air. They learned state-of-the-artdata analysis methods to identify opportunities to reduce energy demand. Totranslate their research into curriculum, science education faculty from CSATSengaged teachers in professional development focused on engineering practices.Weekly sessions supported teachers in identifying engineering practices that weretranslatable to secondary classrooms. As a culminating product, the teachersdeveloped a classroom research project plan for their students to complete in theacademic
. 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
: 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
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