quiet standing (static stability) is considered using the inverted pen-dulum described by [20]. To represent a human body as an inverted pendulum model, the applicationBiorender [35] is used to create Fig. 2 (a) adapted from [36], which shows a human body overlaid withthe system considered. The model consists of a rigid weightless pole on top of a fixed weightless blockthat models the base of support as shown in Fig. 2 (b). A ball is attached to the tip of the pole, whichrepresents the mass of human body, or the CoM. The force is applied on the mass due to gravity. Thebottom triangle represents feet, the BoS. The ankle muscular activity to prevent falling, which corre-sponds to the counterclockwise force, is denoted by the point CoP. The
will contain in-class Channel Program content. b. Meet with instructors to gather feedback on prior year’s program. 3. Obtain class roster to update channel assignments (completed within the first week of classes, at least 1 week prior to the first seminar session) a. Class rosters should be compared to the running channel rosters to ensure that any new students are accounted for and assigned to a new channel. b. New students are assigned equally to channels at random, but groups for the first- year mentoring activities are sampled from common channels. c. A channel roster should be available at the first session of the semester to accommodate any last-minute
. Lastly, conductingmore interviews with students and instructors will aid in constructing a Lite version that meetshigh educational standards and student requirements.AcknowledgementRELIA project is funded by the National Science Foundation’s division of undergraduateeducation under award number 2141798.References [1] F. Atienza and R. Hussein. Student perspectives on remote hardware labs and equitable access in a post-pandemic era. In 2022 IEEE Frontiers in Education Conference (FIE), pages 1–8. IEEE, 2022. [2] V. S. Katz, A. B. Jordan, and K. Ognyanova. Digital inequality, faculty communication, and remote learning experiences during the covid-19 pandemic: A survey of us undergraduates. Plos one, 16(2):e0246641, 2021. [3] Pew
identified the concepts they had learned previously in the course that could beapplied to constructing a circuit for each appliance. B. Digging Deeper (Further Research): In Part B of the project, students delved deeperinto each of the potential appliances (end-uses) they had selected in the previous phase. Theycreated basic level zero diagrams for each appliance, highlighting the major physical componentsand depicting the inputs and outputs with arrows. We encouraged students to deconstruct eachsystem into smaller subsystems and provide a brief description of the intended behavior of eachcomponent. Based on the reports submitted after Part A, it was evident that most groups wouldrequire a battery to provide power when sunlight was not available
consulted and adequately informed about theimpacts and the capabilities of selected OP technologies. For example… how cheating is determined and privacyaffected. Information addressing key questions about OP technologies should be readily available.” [48].B. An Agile Response to the Academic Cheating ProblemThere are several ways to address online and microtechnology-aided cheating in the classroom. As discussed in theprevious section, educators could implement technological solutions, but this is not a tenable position, and amounts towhat may become a technological arms race between students and educators. Judicial or technological constructsemployed to detect or prevent cheating are not the only potential solution. Higher education could be
codebook (Appendix A) was created to describe thecategories, which was then provided to two undergraduate researchers, who were not students atthe western institution of interest. These students used the established code book to performintercoder agreement and check for biases [26]. After the first round of intercoder agreement, theresearch team met to discuss the results and the coding scheme was adjusted and simplified toallow for consensus (Appendix B). This simplification considered and incorporated all codespreviously within the codebook by grouping similar themes together into coding categories. The40 random responses were then re-coded using the new coding scheme and it was agreed that theintercoder results were acceptable (i.e., within 10
real UR10 robot looked. Furthermore, the programming interface was designed toreflect how an expert would program the real robot by adding waypoints and actions in between the waypoints.3.3 Physical robot reinforcement systemThe researcher programmed a 6 degree of freedom (dof) UR10 industrial robot arm to demonstrate a pick and placetask with three aluminum blocks. The UR10 robot uses a scripting language known as URscript which is very similarto Python programming language. The researchers created the program using the teach pendant shown in Figure 4a. Figure 3. A student programming on the desktop robot interface (a) The physical UR10 industrial robot arm with (b) A student observing the Augmented Reality
research and professional skills, also known as a learning community3. To encourage and prepare students for graduate and professional education programs4. To enhance student learning and appreciation for (a) the ethical, legal, and societal aspects ofnanotechnology and (b) life-long learning which is absolutely critical in areas of emergingtechnology5. To create opportunities for students from various backgrounds, such as those fromunderrepresented groups, those attending community colleges as well as four-year institutions,students in their first or last year of undergraduate study, and those who attend colleges withweak research programs.6. To expand our outreach and build our learning community through the inclusion of highschool teachers who
Experiences: An Integrated Approach to Designing College Courses (Revised and updated ed.). San Francisco: Jossey-Bass, 2013.[5] E. F. Barkley, K. P. Cross, and C. H. Major, Collaborative Learning Techniques: A Handbook for College Faculty. John Wiley & Sons, 2014.[6] B. P. Self, J. Landy, J. M. Widmann, J. Chen, and M. Kerfs, “The mechanics of SUCCESS: How non-cognitive and affective factors relate to academic performance in engineering mechanics,” in 2021 ASEE Virtual Annual Conference Content Access Proceedings, Virtual Conference: ASEE Conferences, Jul. 2021, p. 37876. Accessed: Feb. 27, 2023. [Online]. Available: https://peer.asee.org/37876[7] A. MacKenzie, “Revelations of a collaborative midterm in an engineering
. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] C. B. Zoltowski, P. M. Buzzanell, A. O. Brightman, D. Torres, and S. M. Eddington, “Understanding the Professional Formation of Engineers through the Lens of Design Thinking: Unpacking theWicked Problem of Diversity and Inclusion,” ASEE Annu. Conf. Expo. Proc., Jun. 2017, Accessed: Dec. 06, 2022. [Online]. Available: https://par.nsf.gov/biblio/10036285-understanding-professional-formation-engineers- through-lens-design-thinking-unpacking-thewicked-problem-diversity-inclusion[2] B. Frank, D. Strong, R. Sellens, and L. Clapham
tools to prepare our workforce to succeed in the construction industry. The studyaims to address the student’s disconnect of perception/expectations of professional careerchallenges by educating them about work-life balance while working as Construction Engineersor Managers in the construction industry. To achieve these goals, the study utilizes a three-stepmethodology: a) conducting industry professionals' interviews, b) conducting surveys ofconstruction management students predominantly in a minority-serving institution to determinehow significant work-life balance is when working for an organization, and c) recommendingdifferent curricula changes to better prepare recent graduates to thrive and adapt when enteringthe engineering and
teams,undergraduate research, and service-learning organizations. The first phase of this study,reported in this paper, involves the implementation of an electronic survey to measure the impactof engineering-focused extra-/co-curricular activities on students’ academic achievement andself-efficacy. Academic achievement is measured using questions from the Statics ConceptInventory [1], and self-efficacy is measured using a series of questions from self-efficacy surveyitems [2] that ask students to rate on a six-point Likert scale their capability in (a) specificengineering skills such as working with machine and engineering design, and (b) generalengineering coursework. Based on the results from the survey administered to junior and
examined. After careful consideration, the Robolink Co-drone [1] was chosenas the experimental platform for students to study drone flight, control and stabilize a drone.However, developing a set of comprehensible lectures proved to be a difficult task. Based onthe requirements of the certificate program, the lectures were designed to cover the followingtopics: (a) an overview of fundamentals of drone flight principles, including the forces actingon a drone such as lift, weight, drag, and thrust, as well as the selection of on-boardcomponents and trade-offs for proper payload and force balance; (b) an introduction to theproportional-integral-directive (PID) controller and its role in stabilizing a drone and reducingsteady-state errors; (c) an
is a licensed PE in the State of Colorado, a member of ASEE, and a senior member of IEEE and SME.Dr. Bahaa Ansaf, Colorado State University, Pueblo B. Ansaf received a B.S. degree in mechanical engineering /Aerospace and M.S. and Ph.D. degrees in me- chanical engineering from the University of Baghdad in 1996 and 1999, respectively. From 2001 to 2014, he has been an Assistant Professor and then Professor with the Mechatronics Engineering Department, Baghdad University. During 2008 he has been a Visiting Associate professor at Mechanical Engineering Department, MIT. During 2010 he has been a Visiting Associate Professor at the Electrical and Computer Engineering Department, Michigan State University. From 2014 to
research work is mainly focused on two areas, (a) designing novel materials for electronic and energy applications using ab-initio Density Functional Theory (DFT) which is imple- mented using Quantum espresso package (b). Designing computational tools for engineering education using Python/Matlab.Dr. Binh Q. Tran, Marian University Dr. Binh Q. Tran is the founding dean for the E.S. Witchger School of Engineering at Marian Univer- sity in Indianapolis. He has bachelor’s and master’s degrees in mechanical engineering from U.C. San Diego and San Diego State University, respectively, and received his doctorate in biomedical engineering from the University of Iowa. His research interests are related to applications of
axis-angle representations) and forward kinematics. Since the laboratoriesare bi-weekly, each meeting covers the topics learned in the previous two weeks in lecture. Therobotics laboratory contains three KUKA robots: two KUKA LBR iiwa (Fig. 1(b)) robots andone KUKA KORE robot (Fig. 1(a)). The KUKA robots are utilized in all of the laboratories.These hands-on exploration experiences are designed to aid students in visualizing the topicslearned in class and applying those concepts in a real-world scenario. To collect data on how these hands-on experiences are affecting students’ conceptualunderstanding and intrinsic motivation, pre- and post-lab surveys are conducted for threelaboratories. Since the bi-weekly laboratories occur on Fridays
, including (a) technicalcompetency; (b) legal knowledge including technical vocabulary and legal procedures; and (c)interpersonal skills including the ability to communicate technical information to the people fromnon-engineering background. However, the student survey results indicated that many studentslack such skills and there is a pressing need to teach them those skills in graduate programs.Additionally, the results highlighted that only 4 out of 72 ACCE institutions which consist of5.6% of the accredited degree programs offered courses that are related to forensic engineering.With growing concern for climate change impact and deterioration of infrastructure such asbridges and buildings, the workforce demand for forensic engineers is expected
heterogeneous groups in an active learning physics class. NSTA. 8. Rosser, S. V. Group work in science, engineering, and mathematics: Consequences of ignoring gender and race. College Teaching 46, 82-88 (1998). 9. Schwarz, C. V., Passmore, C., & Reiser, B. J. (2017). Helping Students Make Sense of the World Using Next Generation Science and Engineering Practices. NSTA Press. 10. Yusran, Siswanto, Hartono, Subali, B., Ellianawati, Gumilar, S., & Sartika, D. (2019). What's wrong with the cookbook experiment? A case study of its impacts toward learning outcomes of pre-service physics teachers. Journal of Physics: Conference Series, 1280(5), 052047. 11. Award for improving undergraduate physics education
narrative of STEM can be challenged and students can findbelonging. While this study is limited to one particular institution, we invite you to reflecton the ways heteronormative notions of professionalism may be manifesting at yourinstitution, and how you could challenge those norms to create a more inclusiveenvironment.References[1] M. Estrada et al., “Improving Underrepresented Minority Student Persistence in STEM,” CBE Life Sci. Educ., vol. 15, no. 3, 2016, doi: 10.1187/cbe.16-01-0038.[2] M. J. Lee, J. D. Collins, S. A. Harwood, R. Mendenhall, and M. B. Huntt, “‘If you aren’t White, Asian or Indian, you aren’t an engineer’: racial microaggressions in STEM education,” Int. J. STEM Educ., vol. 7, no. 1, p. 48, Sep. 2020, doi: 10.1186
. The survey datafrom the past three years of study does not support this hypothesis. Interviews with thesestudents comprise a second part of this study, and preliminary results indicate that the majority ofstudents agree that computational modeling is “just an important part of all engineering”. It ispossible that students do not ENTER with significant variability in motivation, but their opinionsof computational modeling can change as they move through their curriculum. A supplementaryinvestigation is using the same survey to understand the motivation of first year and third yearstudents at another large midwestern university, and preliminary results from this analysis willalso be presented at this conference in another paper.References[1] B
Experience: A Critical Race Study - ProQuest,” 2014. https://www.proquest.com/openview/be21b170607fa38fe2937b190967ba0f/1?cbl=18750&p q-origsite=gscholar&parentSessionId=0e19Gk%2BrNimRzwLAuw8Iu6TZAFOrxSQK6Cq D%2BU90XDY%3D (accessed Sep. 06, 2022).[10] T. Strayhorn, F. Bie, L. Leroy, and B. Blossom, “African American and Hispanic STEM students’ engagement at predominantly White institutions | Request PDF,” 2014. https://www.researchgate.net/publication/289745511_African_American_and_Hispanic_ST EM_students%27_engagement_at_predominantly_White_institutions (accessed Aug. 26, 2022).[11] M. M. Camacho and S. M. Lord, The Borderlands of Education: Latinas in Engineering. Lexington Books, 2013.[12] Z. Hazari, G. Sonnert, P
] C. Wapner, “3D Printing Policy Considerations through the Library Lens,” OITP Perspectives, no. 3, 2015, https://www.ala.org/advocacy/sites/ala.org.advocacy/files/content/advleg/pp/pub/perspectives- 3D_Library_Policy-ALA_OITP_Perspectives-2015Jan06.pdf .[11] E. Lenton and C. Dineen, “Set it and Forget it (Almost): How We Make DIY 3D Printing Work in Our Library,” Public Services Quarterly, vol. 12, no. 2, pp. 179–186, Apr. 2016, doi: 10.1080/15228959.2016.1168725.[12] S. B. Nagle, “Maker Services in Academic Libraries: A Review of Case Studies,” New Review of Academic Librarianship, vol. 27, no. 2, pp. 184–200, Apr. 2021, doi: 10.1080/13614533.2020.1749093.[13] C. Benjes-Small, L. M. Bellamy, J. Resor-Whicker, and L
% of all students)) participated in the anonymous, end-of-term survey withapproval of the University of Kansas Human Subjects Committee. For this paper, two primaryquestions were examined and compared between three groups (all students, first generationstudents, and under-represented minorities): 1. How important were each of the following resources in supporting your learning? a. Professor’s office hours b. Graduate teaching assistants’ office hours c. Project team members d. Other classmates not in team e. People outside class f. Internet source: Arduino.cc g. Internet source: Mathworks.com h. Other internet sources 2. How much were each of the following obstacles to your success in
group meetings, we develop deep, contextualized, andnuanced understandings about how diverse SVSM participate, persist, and produce professionalidentities in engineering.Research plan work is guided by two research questions (RQ) and sub-questions: 1. How do SVSM participate and persist in undergraduate engineering education? a. How do personal and professional assets combine to create SVSM community cultural wealth in engineering? b. How do SVSM negotiate educational structures to participate and persist in engineering? 2. During their undergraduate engineering education, how do SVSM produce engineering identities? a. How do SVSM experience transitions
and to analyze and interpret the resultsto improve processes” (3.B.4); criterion 5 states the discipline specific content must “Includedesign considerations appropriate to the discipline and degree level such as: industry andengineering standards and codes;…” [2]. By requiring education on standards, ABETaccreditation helps to ensure that engineering and technology programs in the USA areproducing graduates who are well-prepared to meet the needs of the industry and contribute tothe advancement of technology in a responsible and sustainable manner.While education on standards is considered an important component of engineering andengineering technology programs in the USA, it is widely recognized that engineering studentsdo not get much
• Students learn to manage a project and manage a project timeline • Reinforces that programming is a tool that allows practitioners to implement solutions and designs and is far from the end all and be all of CS • Makes collaboration to learn from peers natural impacting overall learningWhen students have more agency over the project, they are empowered to become owners oftheir learning process.References[1] S. B. Jenkins, “The Experiences of African American Male Computer Science Majors in Two Year Colleges,” University of South Florida, 2019.[2] L. J. Sax, H. B. Zimmerman, J. M. Blaney, B. Toven-Lindsey, and K. J. Lehman, “DIVERSIFYING UNDERGRADUATE COMPUTER SCIENCE: THE ROLE OF DEPARTMENT CHAIRS IN PROMOTING GENDER AND
framework was distilled from a detailed analysis of hundreds of stories, myths, andreligious passages collected from various diverse cultures around the globe [7]. The 17 phasesCampbell identified are found in almost all culture’s narrative traditions.Figure 1: Monomyth phases adapted from Campbell [7]. Source: Chance et al [21].Figure 1 depicts the major components of Campbell’s framework. Its 17 phases comprise threedistinct acts: (A) entails separating from the ordinary world, (B) describes a time in a specialworld, and (C) involves returning to the ordinary world. In our previous paper (under review),we adapted Campbell’s framework for gender neutrality but retained all 17 phases, and theoverall structure, of Campbell’s original framework
. 27, 2023).[22] M. Tsugawa, B. Webster, S. Solanki, A. Cuellar, and C. M. Spence, “Examination of Ableist Educational Systems and Structures that Limit Access to Engineering Education through Narratives,” American Society for Engineering Education, Aug. 2022, [Online]. Available: https://peer.asee.org/collections/2022-asee-annual-conference-exposition[23] M. E. Spencer and S. B. Watstein, “Academic Library Spaces: Advancing Student Success and Helping Students Thrive,” portal: Libraries and the Academy, vol. 17, no. 2, pp. 389– 402, 2017, doi: 10.1353/pla.2017.0024.[24] B. E. Eshbach, “Supporting and engaging students through academic library programming,” The Journal of Academic Librarianship, vol. 46, no. 3, p
Paper ID #38580Using Decision-based Learning to Develop Expert Information LiteracyBehaviors in Engineering UndergraduatesMr. David Pixton, Brigham Young University David Pixton is a subject liaison at the Harold B. Lee Library at Brigham Young University. In this role, he is responsible for providing research training and assistance to students and faculty within the majority of engineering and technology fields offered at the university. He holds degrees in Mechanical Engineer- ing and Library & Information Science. David’s current research is focused on improving learning in a library environment, including the
nd iv f th e er t k i ut m ltp g ed m ber enc sim d be w b out o int t so in go en gin f eren e abo e ur a e h h l a p