Collection

2017 ASEE Midwest Section Conference

Authors

Rajeev Nair; Yimesker Yihun; Muhammad Rahman

really well in classes in the junior and senior levels, especiallywhere industry-generated projects are in question. For sophomore level classes, a semester-longindustry project may not be viable as the student preparation and knowledge base may not besufficient to substantiate and justify such a project. However, that doesn’t preclude thepossibility of trying out such a measure.References:Albanese, M. A., & Mitchell, S. (1993). Problem-based learning: A review of literature on its outcomesand implementation issues. Academic Medicine, 68, 52–81. © American Society of Engineering Education, 2017 2017 ASEE Midwest Section ConferenceBarrows, H. S. & Tamblyn, R. M. (1980) Problem-based

Collection

2017 ASEE Midwest Section Conference

Authors

Virginia Charter P.E.

Accreditation and Learning Outcomes in Engineering Technology: Student-Centered Assessment Virginia R. Charter, PE Oklahoma State UniversityAbstract Engineering Technology programs are accredited through ABET. This accreditationincludes eleven general criteria for student learning outcomes. The criteria’s main purpose is toensure students are learning more than the technical skills typically taught in engineeringtechnology. Many of these learning outcomes required are then applied in a culminatingexperience, or capstone course, during a student’s final semester(s) in a bachelor’s degreeprogram. This study aims to understand the student’s

Collection

2010 Spring ASEE Middle Atlantic Section Conference

Authors

AS Ward; MN Gooseff; RY Toto; SE Zappe

Disagree Instructions and use of the virtual laboratory were clear and easy 49 0.0% 8.2% 4.1% 49.0% 38.8% to understand. The learning objectives of the virtual lab were clear. 49 2.0% 28.6% 16.3% 32.7% 20.4% The time and effort spent on the virtual laboratory was comparable to that which I typically spend on a homework 48 0.0% 37.5% 10.4% 20.8% 31.3% assignment. The virtual laboratory component improved my understanding of 49 0.0% 10.2% 26.5% 38.8% 24.5% fluid mechanics concepts. This method(s) of presenting information

Collection

2010 Fall ASEE Middle Atlantic Section Conference

Authors

Frank T. Fisher; Hong Man

contributions to this work. Fall 2010 Mid-Atlantic ASEE Conference, October 15-16, 2010, Villanova UniversityBibliography1. Engineering Criteria 2000: Criteria for accrediting programs in engineering in the United States. Engineering Accreditation Commission, Accreditation Board for Engineering and Technology, Inc: Baltimore, MD, 1998.2. Shaping the future. Volume II. Perspectives on undergraduate education in science, mathematics, engineering, and technology. Advisory Committee to the National Science Foundation, Directorate for Education and Human Resources: Arlington, VA, 1998.3. Carr, S., "What are we waiting for? Put engineering first!" Excellence in Higher Education, 8(3), 1999.4. Belytschko, T., A

Collection

2010 Fall ASEE Middle Atlantic Section Conference

Authors

course instructors and in-class observations of students engagedin impromptu design exercises represent the qualitative measures to be employed in the study.The methods and procedures for data collection and analysis are detailed below.5. ConclusionIn this paper, the use of impromptu design as a vehicle for integrating design educationthroughout the engineering curriculum was discussed. Examples of impromptu design exercisescurrently being developed for a diverse range of classes across engineering disciplines werepresented along with a discussion about some of the challenges of developing an adequateassessment plan.Bibliography[1] A. J. Dutson, R. H. Todd, S. P. Magleby, and C. D. Sorenson. “A review of literature on teaching

Collection

2008 Spring ASEE Middle Atlantic Section Conference

Authors

David I. Schwartz

internal measure) can represent a gamestate9. By dynamically adjusting difficulty, a game can adapt to different player abilities9, 10.Adapting the formalism and state4, 9, a score function at time t assigns a score s to a temporal game stateg: s: g →ℤ (3)where s ∊ Z and g = G(t). Thus, a score can provide a basic measure of temporal game state. FromSection 2, G(t) represents an abstract measure of temporal game state—state is an arbitrary representationof G’s components (Equation 1) at a specific time t. Thus, in Figure 2, state can replace score, usingEquation 3.For discrete systems (e.g., turn-based play), we can instead refer to time ti, score si

Conference Session

Strategies and/or Approaches to Engage Students in Agricultural, Biological, or Similarly Named Programs

Collection

2024 ASEE Annual Conference & Exposition

Authors

Maryam Bigonah, Auburn University; Fatemeh Jamshidi, Auburn University; Aparana Pant, Auburn University; Daniela Marghitu, Auburn University

Tagged Divisions

Biological and Agricultural Engineering Division (BAE)

Conference on SoftwareEngineering Advances, EDUCAUSE, Association for Advancement of Computing in Education, InternationalSociety for Technology in Education, Society for Design and Process Science, American Society forEngineering Education, Human Computer Interaction International Conference, and International Academy,Research, and Industry Association) in USA, Canada, England, France, Germany, Spain, Italy, Portugaland Romania. Her work was also presented by co-authors at conferences in Brazil, Taiwan and S. Korea.Among Dr. Marghitu’s honors and awards are the following: 2011 AccessComputing Capacity BuildingAward, the 2012 Auburn University Access award, the 2012 Society for Design and Process ScienceOutstanding Achievement Award, the 2013

Conference Session

MECH - Technical Session 9: Advanced Mechanical Engineering Topics

Collection

2024 ASEE Annual Conference & Exposition

Authors

Samuel James Murphy, The University of Iowa; Martell Cartiaire Bell, The University of Iowa; Rachel Vitali, The University of Iowa; Jae-eun Russell

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

utilized to tackle thisever-growing issue due to its ability learn and classify complex data. AI can be described as twomain subfields: machine learning (ML) and deep learning (DL). ML leverages labeled data tobuild models for predicting labels on unlabeled data. DL relies on extensive unlabeled datasets touncover underlying patterns within the dataset. On the other hand, knowledge-based modelingand simulation (M&S) techniques utilize known models to generate data for the analysis of newand existing designs. M&S works well for simple systems but becomes increasingly difficult formore complex systems. The difficulty comes from the uncertainties associated with each addedvariable being modeled. To bridge the gap between AI and M&S, the

Conference Session

WIP: Classroom Innovations

Collection

2024 ASEE Annual Conference & Exposition

Authors

Carlos Landaverde Alvarado, University of Texas at Austin; Emily Mellen, University of Texas at Austin; Amanda Nguyen, University of Texas at Austin

Tagged Divisions

Chemical Engineering Division (ChED)

are using an approach that blends undergraduateresearch, interdepartmental collaborations, and a focus on experiential learning. We arecollaborating with the university Green Fund and the Environmental Health and Safety (EH&S)department to recycle materials, reach the campus community, and understand the environmentaland economic impacts of the study. The manuscript describes a summary of the projectdevelopment, a detail of project goals and current advances, and a summary of our researchobjectives as we integrate the practice of sustainability into the chemical engineering program.Motivation and Research QuestionThe Department of Chemical Engineering at the University of Texas at Austin has investedefforts and resources in the renovation

Conference Session

Civil Engineering Division (CIVIL) Technical Session - Effective Teaching 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Angela R Bielefeldt, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Civil Engineering Division (CIVIL)

as an Analogy for CollegeThere are parallels between a student’s college experience and football, such as: Lows and highs – The lows might be season(s) long or might last only part of the game. Team work – Many of the CE students received coursework help from other students and general support from friends and family.Pervasive sports analogies may be annoying, but perhaps students absorb these models [25]. Iaspire to having my students view me as a coach rather than a ref (enforcing rules) or theopposing team (putting up roadblocks to prevent students from reaching their goal of success inthe course or earning their degree). Faculty should remember that our students may be facing anarray of challenges (personal health challenges

Collection

2011 Spring ASEE Middle Atlantic Section Conference

Authors

James Roche

or equipment.Students reviewed the operations manual to learn the operation of the HOBO® data loggers. Asa basic understanding was acquired from the manual, students next connected these instrumentsto a computer loaded with Onset’s HOBO® software to experiment with the capabilities of theinstruments. Along with adjusting the parameters in the data logger, the battery level and properoperation of each inventoried data logger was verified.The final instrument used by the students was a light intensity meter. This instrument is slightlydifferent from the HOBO®’s light intensity, as this instrument’s primary function is toaccurately measure light, whereas the HOBO® is used to gain a general understanding of arealighting use. A variety of light

Collection

2010 Northeast Section Meeting

Authors

AS Ward; MN Gooseff; RY Toto; SE Zappe

Disagree Instructions and use of the virtual laboratory were clear and easy 49 0.0% 8.2% 4.1% 49.0% 38.8% to understand. The learning objectives of the virtual lab were clear. 49 2.0% 28.6% 16.3% 32.7% 20.4% The time and effort spent on the virtual laboratory was comparable to that which I typically spend on a homework 48 0.0% 37.5% 10.4% 20.8% 31.3% assignment. The virtual laboratory component improved my understanding of 49 0.0% 10.2% 26.5% 38.8% 24.5% fluid mechanics concepts. This method(s) of presenting information

Collection

2008 ASEE Zone 1 Conference

Authors

David I. Schwartz

internal measure) can represent a gamestate9. By dynamically adjusting difficulty, a game can adapt to different player abilities9, 10.Adapting the formalism and state4, 9, a score function at time t assigns a score s to a temporal game stateg: s: g →ℤ (3)where s ∊ Z and g = G(t). Thus, a score can provide a basic measure of temporal game state. FromSection 2, G(t) represents an abstract measure of temporal game state—state is an arbitrary representationof G’s components (Equation 1) at a specific time t. Thus, in Figure 2, state can replace score, usingEquation 3.For discrete systems (e.g., turn-based play), we can instead refer to time ti, score si

Collection

2014 ASEE Zone 1 Conference

Authors

Julie N. Renner; Kathy E. Ayers

the feed stream combine with electrrons at the cathode to form hydroxide ions (OH-) and ammoniia. The key enabler in the device is the AEM which selectiveely conducts OH- to the anode where the ions form oxygen n (O2) and H2O. The end result is an ammonia enriched stream s depleted of small amount of N2 and H2O. Electrolysis catalysts were used

Collection

2014 ASEE Zone 1 Conference

Authors

Yao Agoudavi; Nathan Cyrille; Luis Hernandez; Amber LaGuerre; Zhineng Li; Katherine Vides; Sunil Dehipawala; Andrew Nguyen; Alexei Kisselev; Tak Cheung

tocounseling on which career path such as electrical engineering, investigate the local environments of arsenic in an arsenicchemical engineering, environmental engineering, biomedical hyperaccumulator, Cretan brake [2]. It was reported that As-Oengineering, etc. Hands-on experience gained in doing a has bond length values from 170 pm to 180 pm and As-S hasresearch project in a laboratory and presenting the results in bond length value of about 225 pm. Another report for Zn inconferences would enhance motivation and improve retention. tobacco roots also shows that Zn-O bond length values haveOur community college, Queensborough Community College more variation (196 to 207 pm) as compared to Zn-S inQCC

Collection

2008 Northeast Section Meeting

Authors

David I. Schwartz

internal measure) can represent a gamestate9. By dynamically adjusting difficulty, a game can adapt to different player abilities9, 10.Adapting the formalism and state4, 9, a score function at time t assigns a score s to a temporal game stateg: s: g →ℤ (3)where s ∊ Z and g = G(t). Thus, a score can provide a basic measure of temporal game state. FromSection 2, G(t) represents an abstract measure of temporal game state—state is an arbitrary representationof G’s components (Equation 1) at a specific time t. Thus, in Figure 2, state can replace score, usingEquation 3.For discrete systems (e.g., turn-based play), we can instead refer to time ti, score si

Collection

2015 Northeast Section Meeting

Authors

Junling Hu; Ruoxu Jia; Xiao Huang; Xingguo Xiong; Kai-tak Wan

θ affects the droplet wetdiameter d and height h during the droplet spreading process. Thespreading factor (d/D0) is the dimensionless wet diameter at thecontact, and the apex height (h/D0) is the dimensionless dropletheight at the centerline, both normalized by the droplet initialdiameter D0.Figure 2. Schematic of droplet attached to a surface: θ, contactangle; h, droplet height; d, droplet wet diameterResults and Discussion The paper studied a water droplet of diameter 2.7 mm impinging onto a solid wax surface withan impacting velocity of 1.55 m/s. The material properties of the water droplet and air are listedin Table 1. The Reynolds number, Weber number, Capillary number and Ohnesorge number are

Collection

2014 ASEE Zone 1 Conference

Authors

Gad J. Selig

. in retrospect than in the moment-when they finally have a • 84% of graduates of Incubators are still in the same solution that matches the problem." community as their incubators. [7] • Small businesses are responsible for 60%-80% of net new jobs annually. Traditional business plans and pro-forma financials • Small businesses provide an essential role in presume they must be written to support the founder(s) on a economic development, job creation and full-time permanent basis (a legacy from their roots in large- sustainability. company

Collection

2014 ASEE Zone 1 Conference

Authors

Ali M. Elrashidi

Alexandria University in 2001, the MS Degree in fiber optics from the same[1] K. Tanaka, A. Agata, and Y. Horiuchi, “IEEE 802.3av 10G-EPON university in 2007, and he received Ph.D. degree in Computer Science and standardization and its research and development status,” J. Lightw. Engineering in the University of Bridgeport from 2008-2012. From 2002 to Technol., vol. 28, no. 4, pp. 651-661, Feb. 15, 2010. 2008, he was with Physics and Electric Department, Alexandria University,[2] J. Buset, Z. El-Sahn, and D. Plant, “Experimental Demonstration of a 10 Egypt, as an assistant professor from October 2012 to August 2013 and in Gb/s Subcarrier Multiplexed WDM PON,” IEEE Photo. Technol

Conference Session

Professional Papers

Collection

2025 ASEE Southeast Conference

Authors

Mazen I. Hussein, Tennessee Technological University

Tagged Topics

Professional Papers

growth.In conclusion, introducing Lean Systems tools within the ENGR 1210 course proved to be avaluable approach for helping students analyze their challenges systematically. By continuing toimplement these problem-solving frameworks, alongside targeted support services, the universitycan better equip freshmen to succeed academically and personally.References[1] S. McKay, “Quality Improvement Approaches: Lean for Education,” Carnegie Foundation forthe Advancement of Teaching (Blog/Improvement in Action), 2017.[2] S. Ihsan and O. Khalifa, “Continuous Quality Improvement Strategies in EngineeringCurriculum,” Proceedings of 2nd International Conference on Professional Ethics and Educationin Engineering, Kuala Lumpur, Malaysia, 2011.[3] V. Narulaa, and

Collection

2014 ASEE Zone 1 Conference

Authors

Aziz Obaid Alotaibi; Christian Bach

., S.L. Pan, and R. Hackney, The Strategic Implications ofZahrani, R. M, shows us that government involvement is a Web Technologies: A Process Model of How Web Technologies Enhance Organizational Performance. Engineering Management,key factor in reaching desired goals. Also, the data received IEEE Transactions on, 2010. 57(2): p. 181-197.from the risk of infection via the web , shows that customer 4. Alwahaishi, S., A. Nehari-Talet, and V. Snasel. Electronic commercevulnerability in Saudi Arabia is significantly higher than that growth in developing countries: Barriers and challenges. in Networkedin other countries. Data taken from per

Collection

2025 Northeast Section Conference

Authors

Saddam Alkhamaiesh; Peter Cavanugh

infrastructure,” Applied Energy, vol. 270, p. 115147, 2020.engaged educational institutions, industry partners, and labor [16] D. Gallachói, “The impact of NEVI program funding on job creation in the EV sector,” Sustainable Transportation Review, vol. 14, no. 1,unions in designing and implementing training initiatives are pp. 1–15, 2022.better positioned to meet the growing demand for EV [17] M. Brusaglino, F. S. Chen, and Y. Nakamura, “Skills and competenciestechnicians. However, many states continue to face for electric and hybrid vehicle maintenance,” Journal of

Collection

2025 Northeast Section Conference

Authors

Shashi Kiran Chandrappa, Fairfield University; Sidike Paheding, Fairfield University

, formers,” IEEE Transactions on Geoscience and Re- pp. 1–4. mote Sensing, vol. 60, pp. 1–15, 2021. [5] D. E. Rumelhart, G. E. Hinton, and R. J. Williams, [19] A. Jamali, S. K. Roy, D. Hong, B. Lu, and P. Ghamisi, “Learning internal representations by error propaga- “How to learn more? exploring kolmogorov–arnold tion, parallel distributed processing, explorations in the networks for hyperspectral image classification,” Re- microstructure of cognition, ed. de rumelhart and j. mote Sensing, vol. 16, no. 21, 2024, ISSN: 2072-4292. mcclelland. vol. 1. 1986,” Biometrika, vol. 71, no. 599- [Online

Collection

2023 IL-IN Section Conference

Authors

Julie Mendez

://scholarworks.iu.edu/journals/index.php/josotl/article/view/3264.[3] J. Schinske and K. Tanner, “Teaching More by Grading Less (or Differently),” CBE-Life Sci. Educ., vol. 13, no. 2, pp. 159–166, Jun. 2014, doi: 10.1187/cbe.CBE-14-03-0054.[4] S. Toledo and J. M. Dubas, “A Learner-Centered Grading Method Focused on Reaching Proficiency with Course Learning Outcomes,” J. Chem. Educ., vol. 94, no. 8, pp. 1043– 1050, Jun. 2017, doi: 10.1021/acs.jchemed.6b00651.[5] S. B. Boesdorfer, E. Baldwin, and K. A. Lieberum, “Emphasizing Learning: Using Standards-Based Grading in a Large Nonmajors’ General Chemistry Survey Course,” J. Chem. Educ., vol. 95, no. 8, pp. 1291–1300, Jul. 2018, doi: 10.1021/acs.jchemed

Conference Session

Computing and Information Technology Division (CIT) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ashish Aggarwal, University of Florida; Griffin Pitts, University of Florida; Sage Bachus, University of Florida; Sarah Rajkumari Jayasekaran, University of Florida; Saira Anwar, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Computing and Information Technology Division (CIT)

253 600Students were asked to self-report their GPA. GPA was based on a scale of 4, with an “A” being a4.00, a “B” being a 3.00, a “C” being a 2.00, a “D” being a 1.00, and an “S” being a 0.00. Someclasses also used a “+” or “–” system. A “+” adds 0.33 to the base grade, while a “-” subtracts0.33. For example, a “B+” would quantitatively be a 3.33 (3.00 + 0.33), while a “B-” would be a2.77 (3.00 - 0.33).Data was gathered on students’ expected majors. Out of a total of 600 students, 311 (51.8%) weremechanical and/or aerospace engineering students, 114 (19.0%) were civil and/or environmentalengineering students, 102 (17.0%) were biomedical engineering students and 73 (12.2%) studentshad other majors. This data can be seen in Figure 2

Conference Session

Student Projects in Physics Education, Engineering Physics and Physics Division (EP2D) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kanti Prasad, University of Massachusetts, Lowell

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

Chebyshev type – I filter approximations are discussed. In theend, the derivation of S-parameters matrix for the BLC carried out using the well-known Even-Odd modenetwork analysis is presented. 1. INTRODUCTIONDuring the 5G investigations, eight modules have been built mostly based on the Fundamentals of Physics,Semiconductors and Circuit Theory including the Patch Antennas, BPF, Couplers, Transmitter (TX),Receiver ( RX) and Switches etc. The Switch between the Antenna and TX and/or RX must be equipped tohandle high power when connected to the TX, and LO-Power when connected to the RX. In order to meetthese requirements, the p-i-n diodes with forward and reverse biases have been used, respectively. Its

Conference Session

Entrepreneurship & Engineering Innovation Division (ENT) Technical Session 3: Projects and Student Learning

Collection

2023 ASEE Annual Conference & Exposition

Authors

John Reap, Quinnipiac University; David Tomczyk, Quinnipiac University

Tagged Divisions

Entrepreneurship & Engineering Innovation Division (ENT)

one metric (See Table5). For instance, Students 6, 7, 9 and 10 experienced changes for ToA in excess of 10%, with thefirst three experiencing sharp increases and the last showing a substantial decrease. Students 6and 7 also registered similar increases in nAch and GSE, respectively. Students 2 and 4experienced >10% declines in nAch, but Student 12 shows a noteworthy increase in GSE. Thesespikes might be part of the dataset’s background noise. Alternatively, they suggest a trend thatmay prove detectable by a larger study. They certainly beg a few direct questions. Why, forexample, did Student 6’s ToA rise by 25%? A qualitative study might have yielded insight intothis comparatively large change, and future work in this area could benefit

Conference Session

Mechanical Engineering Division (MECH) Technical Session 11: Project and Research-Based Learning Environments

Collection

2023 ASEE Annual Conference & Exposition

Authors

Isaac Koduah Kumi, Old Dominion University; Stacie I Ringleb, Old Dominion University; Orlando M Ayala, Old Dominion University; Pilar Pazos, Old Dominion University; Francisco Cima, Old Dominion University; Krishnanand Kaipa, Old Dominion University; Min Jung Lee, Old Dominion University; Kristie Gutierrez, Old Dominion University; Jennifer Jill Kidd, Old Dominion University

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

, reflectionassignments could be updated to urge students to reflect more on how the service learning andinterdisciplinary components affected their overall performance in the project and the requisitecontent knowledge that came from the project.Future studies can examine students’ motivations regarding interdisciplinary projects and howthey relate to teamwork effectiveness. Future work can also examine the effects of theinterdisciplinary project on the students’ teamwork effectiveness skills over the course of severalsemesters.AcknowledgmentThis material is based upon work supported by the National Science Foundation under Grants#1821658 and #1908743. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s

Conference Session

Construction Engineering Division (CONST) Technical Session 5

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tolulope Ibilola Ogundare; Rebecca Kassa, University of Kansas; Omar Maali, City of Lawrence, Kansas; Brian Lines, University of Kansas; Jake Smithwick, University of North Carolina, Charlotte; Kenneth Timothy Sullivan, Arizona State University

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering Division (CONST)

leaders in the specialty contractingsegment to be successful in their job. The competencies of top-performing site supervisors that aidproject success were investigated and information from the study can be used by employers toassess the performance of their workers and help construction companies devise skill developmentinitiatives to enhance the areas of weakness of their employees.LITERATURE REVIEWRecruiting workers with a specific mix of skills in the construction industry has been a challengeover the year. The different factors contributing to this challenge have been identified in previousresearch and literature. The scarcity of skilled people is one of the major causes of the wideningtalent gap. [18]’s study on the age distribution of

Conference Session

First-Year Programs Division (FYP) - Technical Session 3: Evaluation & Assessment

Collection

2023 ASEE Annual Conference & Exposition

Authors

Clodagh Reid, Technological University of the Shannon: Midlands Midwest; Sheryl A. Sorby, University of Cincinnati; Gibin Raju, University of Cincinnati; Jeffrey Buckley, Royal Institute of Technology (KTH); Niall Seery, Technological University of the Shannon

Tagged Divisions

First-Year Programs Division (FYP)

. Educ. Pract., vol. 144, no. 3, p. 06018001, Jul. 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000364.[2] E. Starkey, C. A. Toh, and S. R. Miller, ‘Abandoning creativity: The evolution of creative ideas in engineering design course projects’, Des. Stud., vol. 47, pp. 47–72, Nov. 2016, doi: 10.1016/j.destud.2016.08.003.[3] G. J. Strimel, S. R. Bartholomew, S. Purzer, L. Zhang, and E. Y. Ruesch, ‘Informing engineering design through adaptive comparative judgment’, Eur. J. Eng. Educ., vol. 46, no. 2, pp. 227–246, Mar. 2021, doi: 10.1080/03043797.2020.1718614.[4] A. Pollitt, ‘The method of Adaptive Comparative Judgement’, Assess. Educ. Princ. Policy Pract., vol. 19, no. 3, pp. 281–300, Aug. 2012, doi: 10.1080/0969594X.2012.665354.[5