Conner, Qinang Hu, Brian Norton, and Tony Ivey, ”Oklahoma State University’s ENDEAVOR: Transformation of Undergraduate Engineering Educa- tion through the Experience-based learning.” 2020 ASEE Annual Conference & Exposition. June 21-24, 2020. Montreal, Quebec, Canada. Abstract submitted on Oct 14, 2019. Abstract accepted on October 28, 2019. Draft paper submitted on Jan 31, 2020. • Lead Author: B. Smyser, Reviewer and contributor: J. Conner, ”Measurements and Analysis for Mechanical Engineers”, 2nd Edition TopHat Publishing [ISBN: 978-1-77330- 957-6] 2019 • Lee, S., Conner, J. Arena, A. ”Aspects of Autonomous Recovery System for High Altitude Payloads by Using a Parafoil” AIAA Aviation and Aeronautics Forum and
on similar efforts.2. Data Gathering: In order for the students to develop a revitalization plan for their assigned community, students must have a thorough understanding of the current conditions of the community and the residents’ needs. As part of this step, the students performed the following: Review of existing data and development plans. The students obtained demographic, socioeconomic and health data and studied nine different revitalization plans that pertain to our city and its communities. These plans include the City of Birmingham Comprehensive Plan, Sidewalk Master Plan, B- Active Plan, and others. Attended community meetings. During the meetings, the students learned
maintain an A-levelgrade point average (GPA). B-level students put less emphasis on a good work ethic, use lesseffective study habits and do not prioritize attending class. C-level students put low priority ondoing the work assigned to them, but do make an effort to study and attend class. This study alsofound that students' priorities are not always aligned with their practices and/or values,particularly as related to work ethic, studying, and doing assigned work. Lower prioritization ofnote taking and attending class means a closer alignment between priorities, practices, andvalues, but does not contribute to overall academic success.IntroductionPost-secondary institutions take student success seriously. Learners are supported throughouttheir
oxide solution:Items needed: 100mg of nano-graphene oxide powder, deionized water, funnel, beaker, and pipetteas shown in Figure (2). Sonicator bath Deionized water Personal Protective Equipment (PPE) Pipette syringe Nano graphene Funnel Figure (2) Experimental setup for nano-graphene oxide preparation 1) Experimental Procedure for nano graphene oxide preparation: a) Personal protection equipment was worn for safety requirement. b) 40 ml of deionized water was poured into the beaker c) The container carrying the nano graphene oxide was opened and immediately covered with the funnel in an upside-down position. This is to
overviewThe Essential Adult Skills Initiative (EASI) was a large-scale research project undertaken by theHigher Education Quality Council of Ontario (HEQCO) and 20 postsecondary partners in 2017-2018. EASI was designed to measure the numeracy, literacy, and problem-solving skills ofincoming and graduating college and university students in Ontario.The central research goals of the larger project were: a) to determine the suitability of theEducation and Skills Online (ESO) assessment to measure post-secondary students’ literacy,numeracy, and problem-solving; b) to determine observable differences between incoming andgraduating students’ skillsets, and; c) to identify practical implications of implementing such aproject in post-secondary
relation to the pH. 𝑎𝑎𝑎𝑎𝑎𝑎𝑎𝑎a) If pK > pH the species will be primarily acidb) If pK > pH, the species will be primarily basec) If pK=pH, half of the species is dissociatedd) Both b and c are truee) Both a and c are true4. If the equilibrium constant for the reaction A → B is 0.5 and the initial concentration of A is 25 mM and of B is 12.5 mM, then the reaction:a) will proceed in the direction it is written, producing a net increase in the concentration of B.b) will produce energy, which can be used to drive ATP synthesis.c) is at equilibrium.d) will proceed in the reverse direction, producing a net increase in the concentration of A.e) will reach equilibrium when [A]=0.5[B]5. A
morefrustration for the student.Figure 1: Learning like Assembling a Quilt(a): The ideal process, where previous knowledge is connected(b): The non-ideal process, where previous knowledge is disconnectedIt is our job as instructors to consider students’ previous learning experiences, both formal andinformal, and meet them where their comprehension lies. This can be quite difficult to do in astandard lecture classroom model. With this insight into our students’ mindset comes theknowledge that college instruction needs to evolve and adapt. A move towards more learner-center classrooms has begun, with the focus on transitioning to active learning at the front.Figure 2: Learning Activity Categories and their Relative Student Engagement Level [1]Active
participants.Table 3. Coding scheme used for the study Main Code Schemes Evaluation of solution quality How students rate their final solution, including (a) on a scale of 1-10 and (b) why they rate their solution this way Resources used for solution (a) What resources students propose to use to formulate a development solution and (b) how they would use them Time requested to solve the problem (a) What specific amount of time they would use to solve the problem and (b) why Creativity How students rate their creativity (a) on a scale of 1-10 and (b) why & (c
Engineering Curricula Paper presented at 2018 ASEE AnnualConference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30856 .[4] Hora, M, Chen, Z., Parrott, E., & Her, P. (2019). Problematizing college internships:Exploring issues with access, program design, and developmental outcomes in three U.S.colleges. (WCER Working Paper No. 2019-1). Retrieved from University of Wisconsin–Madison, Wisconsin Center for Education Research website:http://www.wcer.wisc.edu/publications/working-papers[5] Kames, E., & Shah, D., & Clark, M. C., & Morkos, B. (2019, June), A Mixed MethodsAnalysis of Motivation Factors in Senior Capstone Design Courses Paper presented at 2019ASEE Annual Conference & Exposition , Tampa, Florida. https
and SGPA < 3.50), the blue circles represent students who are classified into class oneof academic performance (2.50 =< CGPA and SGPA < 3.00), and blue squares are the centers ofeach class. Figure 2 shows an acceptable classification visualization for CGPA and SGPAvariables. Figures 2. DFA Classification Result for a) CGPA (left) and b) SGPA (right)Note: Students who are classified into 1:class one, 2:class two, and 3:class three of academic performance based on their ST and PP.Table 5 presents the results of the three machine-learning methods; "Testing Accuracy" representsthe average of models' performance on the twenty iterations of testing data. The generalinterpretation of these analyses indicates that the three
among construction industrystudents to a) evaluate their experience of natural disasters, b) examine the source of knowledgeof resilience on natural disasters, c) measure knowledge of post-disaster evacuation, and d)evaluate disaster preparation from university education. The study found that the population of thestudent body existed that had not experienced a natural disaster and were unaware of its impactseither on a personal or familial basis. Further, the majority of the responding students felt that theirmajor(s) and universities did not prepare them in terms of handling natural disasters and extremeweather events. Finally, a correlation was found between the location students live and a desire forknowledge about extreme weather events at
baccalaureate program at Purdue University inAeronautical Engineering Technology. The program is part of the School of Aviation andTransportation Technology in the Polytechnic Institute located on the main campus in WestLafayette, Indiana. On the approved plans of study for students, this junior-level course isrequired for a bachelor’s degree program in aeronautical engineering technology. Twoprerequisite courses build the foundational knowledge that is used in this course. The firstprerequisite course is an introduction to reciprocating engines and the second is basic aircraftelectricity.The undergraduate course is currently mapped to two student outcomes for Criterion 3: (b) anability to apply a knowledge of mathematics, science, engineering, and
. 1 2 3 4 5DC7 Critical thinking courses are important to my career. 1 2 3 4 5DC8 Calculus courses are not applicable after graduation. 1 2 3 4 5DC9 English Literature courses are meaningful to me. 1 2 3 4 5DC10. My degree is required for my career path. 1 2 3 4 5Questions in reference to self-reporting grades are as follows.Self-report your average grades for the following course types:1. Major courses A B C D 5. Calculus A B C D2. Critical Thinking A B C D 6. Humanities A B C D3. Structures A B C D
ed., A. Tashakkori and C. Teddlie, Eds. Thousand Oaks, CA: SAGE Publications, Inc., 2010, pp. 505–530.[5] B. McKeown and D. B. Thomas, Q Methodology, 2nd ed. Thousand Oaks, CA: SAGE Publications, Inc., 2013.[6] R. Stainton Rogers, “Q methodology,” in Rethinking Methods in Psychology, J. A. Smith, R. Harre, and L. Van Langenhove, Eds. London, UK: SAGE Publications, 1995.[7] R. L. Kajfez, C. M. Croyle, A. N. Snyder, and M. J. Mohammadi-Aragh, “Engineering education Ph.D. Students: Where are they now and what was the job search process like?,” ASEE Annu. Conf. Expo., 2014.[8] Y.-L. Liu, H.-P. Yueh, T.-L. Chen, and H.-J. Sheen, “Identifying nanotechnology professional competencies for engineering
this researchillustrates, there are still several nuances that need to be explored to understand howintersectionality influence the professional development experiences in organizational leadershipfor engineering students.AcknowledgementFunding for this project was provided by the National Science Foundation under grant EEC-ENG 1738132. The views expressed in this work are those of the author and do not necessarilyrepresent those of the National Science Foundation.References[1] D. B. Knight and B. J. Novoselich, "Curricular and Co-curricular Influences on Undergraduate Engineering Student Leadership," Journal of Engineering Education, vol. 106, no. 1, pp. 44-70, 2017, doi: 10.1002/jee.20153.[2] G. N. Powell and D. A
discipline.Specifically, the course objectives were to help students (a) build a foundational understanding ofthe principles of STEM research through the exploration and discussion of important historicalinterdisciplinary projects; (b) interact with faculty researchers who perform projects across STEMdisciplines; (c) be able to describe the similarities and differences between experimental andtheoretical STEM research; (d) explore and present several possibilities for future research topics;(e) design and present a research prospectus, complete with a review of some of the relevantliterature; (f) and be prepared to continue a research project with a chosen faculty mentor ormentors.Course DevelopmentThe first part of the course was designed to immerse students in
make two important assumptions on their own about the structure of the iWalk2.0: 1. The type of connection the device makes with the ground at point A “which best describes the real scenario” (text from the assignment). 2. The type of connection at point B, either a smooth pin or a welded joint.In order to solve the OEMP, students were implicitly required to make two additionalassumptions about the weight of the 125 kg person using the iWalk2.0, and one additionalassumption about the weight of the iWalk2.0 members: 3. The amount of the person’s weight that loaded on the iWalk2.0. 4. The location where this weight acted on the iWalk2.0, and if the weight was discretized as a point force, multiple point forces, or a
students developtheir own personal identities as engineers. As published previously by Atadero et al., studentswith inclusive professional identities will possess four different attributes: (a) the necessarytechnical knowledge, skills, and abilities to work in their chosen field, (b) an appreciation forhow all kinds of diversity strengthen engineering and computer science as disciplines, (c)knowledge of how to act in inclusive ways and create inclusive environments within their fields,and (d) consideration of diverse populations who are impacted by their professional practice [3].Attributes (a), (b), and (d) were kept in mind when analyzing both the logistics of the activities,as well as the student experience. Attribute (c) was not considered for
-UpPreliminary calculations of the thermal lump system theory [1] were performed in order todetermine the appropriate size of the two lumped systems. The requirement as that they mustcool to room temperature from 100 oC in less than 20 minutes, and that they are made fromaluminum. Scrap aluminum pieces were available at the department’s machine shop. Thecooling is achieved by natural convection and some radiation in stagnant room air. Thecalculations led to the sizes of two lumped system designs: a) a cube with a side length of 10 mmand b) a cylinder of dimeter 10 mm and height 10 mm. With reference to Fig. 1, and consideringthe sizes of these two systems and the Ti T Fig. 1 Schematic
of these components: a) the ability to recognize, understand and express emotions and feelings; b) the ability to know how others feel and relate to them; c) the ability to manage and control emotions; d) the ability to manage change, adapt and solve problems of personal and interpersonal nature; and e) the ability to generate positive affect and be self-motivated. [6]Emotional intelligence was first mentioned prominently in the psychological literature in theearly 1980s. Matthews, Zeidner, and Roberts summarize the origins of emotional intelligence intheir work [4] “Emotional Intelligence Science or Myth.” Here they describe how thewidespread interest in emotional intelligence
behavior: Its nature and antecedents," Journal of applied psychology, vol. 68, no. 4, p. 653, 1983.[5] P. M. Podsakoff, S. B. MacKenzie, J. B. Paine, and D. G. Bachrach, "Organizational citizenship behaviors: A critical review of the theoretical and empirical literature and suggestions for future research," Journal of management, vol. 26, no. 3, pp. 513-563, 2000.[6] T. M. Nielsen, G. A. Hrivnak, and M. Shaw, "Organizational citizenship behavior and performance: A meta-analysis of group-level research," Small Group Research, vol. 40, no. 5, pp. 555-577, 2009.[7] J. L. Buller, Change leadership in higher education: A practical guide to academic transformation. John Wiley & Sons, 2015.[8] American
assessment data was collected in an indirect manner (Narayanan,2019). The rationale being that author has been fairly successful with this methodology in hisprevious research activities. The author examined the students’ capabilities using ten writingassignments spread over a fifteen weeks’ semester. Details about data collection methodologyis described below. While grading these assignments, the author classified and separated the 38students in to four groups according to the specifications identified by the Gregorc StyleDelineator model. Grading was holistic and utilized the five point Likert Scale which is shownin Appendix B. The data collected have been tabulated, graphed and analyzed. Conclusionswere drawn based on the data collected, to
errors. Exceptionally detailed Detailed and engaging Presentation was not and engaging presentation. appropriately detailed. presentation.Fig. 2. Examples of student projects designed in TinkerCAD. (a) Medmory; (b) Smart AlarmClock; and (c) Pet Provider.Three student projects we highlight in this paper are as follows (see Fig. 2): Medmory (a) – An assistive pill dispenser for individuals with memory loss. Smart Alarm Clock (b) – A smart alarm clock for busy people has 3 different alarm settings, varying in pitch. Pet provider (c) – A device to feed, exercise and entertain pets while owners are away.The students found the projects to be both exciting and
participants to accomplish the agents’ desired goals. In today’sfunding world, paid graduate teaching assistants are becoming less viable. Instead, faculty mustmotivate undergraduates to be the active teaching assistants that are needed to run a successfulflipped classroom [1]. By improving undergraduate TAs’ competence, supporting theirautonomy, building environments that allow for interpersonal relationships to flourish,relatedness, socialization, and positive outcomes, faculty can motivate their TAs to improve theircourses. Our long-term goal is for faculty to use this work to make their teaching assistantshipprograms more rewarding for their undergraduates serving as TAs.References[1] Van Veen, B. (2013). Flipping signal-processing instruction [sp
provided insight into some of the challenges that will be faced whenimplementing a larger scale EEG study within a real-world learning environment. Particularly,this study has shown the challenges in identifying whether focused brain activity is in fact,focused on the “right” content, and has suggested a related avenue for future work in identifyingthe unfocussed EEG activity of students as a way of providing potentially valuable real-timefeedback on the effectiveness of various teaching methods.References[1] E. L. Park and B. K. Choi, "Transformation of classroom spaces: traditional versus activelearning classroom in colleges", Higher Education, vol. 68, no. 5, pp. 749-771, 2014. Available:10.1007/s10734-014-9742-0.[2] M. Prince, "Does Active
accompany the design artifactperformance with pie radar charts that describe the degree to which students made iterationsthrough moving the buildings (Move Building) to or changing the size of the buildings (SizeBuilding), tried to understand the systems through multiple seasons (Change Date), and testedthese efforts (Solar Analysis).Case A: Best Systems FocusFigure 1 - Student E2. (a) Example Urban Design (b) Design Actions for their first and second designStudent E2’s design 1 is shown in Fig. 1 (a); they placed their two high rises between other tallbuildings to the east and the west. Their radar plot shows they resized their buildings and ranmany analysis of their energy performance of their buildings for both their first and seconddesign. They
have regarding work zones and TTCprimary components, an illustration of a TTC zone with a stationary right lane closure on adivided highway was presented (see Figure 2). The text of the warning signs was shown inSpanish as required by local statutes. Lines A, B, C, and D refer to strategic points in the TTCzone. Line A identifies the start of the advance warning area (i.e., the position of the firstwarning sign shown to drivers). Line B was positioned at the last sign of the advance warningarea. Line C represents the beginning of the transition area (i.e., the start of the right-lanemerging taper). Line D marks the start of the activity area. Using these four lines as references,subjects were asked to identify: where the construction work zone
like to thank Colleen Halpin for their assistanceduring the early stages of this project.References[1] M. Davis, “Teaching Ethics across the Engineering Curriculum,” in International Conference on Ethics in Engineering and Computer Science, 1999.[2] L. Fan, “Decision-making models for handling ethical dilemmas,” Proc. Inst. Civ. Eng., vol. 156, no. 4, pp. 229–234, 2003.[3] B. Bero and A. Kuhlman, “Teaching ethics to engineers: Ethical decision making parallels the engineering design process,” Sci. Eng. Ethics, vol. 17, no. 3, pp. 597–605, 2011.[4] M. Rogerson, M. Gottlieb, and M. Handelsman, “Nonrational processes in ethical decision making.,” Am. Psychol., vol. 66, no. 7, pp. 614–623, 2011.[5] A. Tjeltveit and M
. A. J. Mohr and E. S. Mohr, "Understanding Generation Z Students to Promote a Contemporary Learning Environment," Journal on Empowering Teaching Excellence, Vol. 1, Iss. 1 , Article 9, 2017[2] M. K. Eagan et al., The American freshman: Fifty-Year trends, 1966–2015, Los Angeles: Higher Education Research Institute, UCLA, 2016[3] J. Selingo, J., The New Generation of Students: How colleges can recruit, teach, and serve Gen Z, Chronicle of Higher Education, 2018[4] M. B. B. Magolda and P. King, Learning Partnerships: Theory and Models of Practice to Educate for Self-Authorship, Sterling, VA: Stylus, 2004[5] K. Masterson, “How to Make Orientation Stick,” The Chronicle of Higher Education, August 22
,” in Higher Education: Handbook of Theory and Research: Volume 34, M. B. Paulsen and L. W. Perna, Eds. Cham: Springer International Publishing, 2019, pp. 39–97.[4] C. Puritty et al., “Without inclusion, diversity initiatives may not be enough,” Science, vol. 357, no. 6356, pp. 1101–1102, Sep. 2017, doi: 10.1126/science.aai9054.[5] A. Peixoto et al., “Diversity and inclusion in engineering education: Looking through the gender question,” in 2018 IEEE Global Engineering Education Conference (EDUCON), Tenerife, Apr. 2018, pp. 2071–2075, doi: 10.1109/EDUCON.2018.8363494.[6] L. M. Maclean, Cracking the code: how to get women and minorities into STEM disciplines and why we must. Momentum Press, 2017.[7] M. A. Armstrong and J