Collection

2015 ASEE Zone 3 Conference

Authors

Norman D. Dennis; Edgar C. Clausen

”, as presented ion Figure 3, was purported to be the underpinnings of the teaching strategies needed to be an effective teacher. While the Model Instructional Strategies is “what the students need,” the ExCEEd Teaching Model is “what the teacher needs to do to effectively execute the strategy.” The remainder of the seminars were all linked to elements of the Instructional Strategy and the Teaching Model.3. Speaking. Relating to the element of engagement in the ExCEEd Teaching Model, the minimum essential qualities of verbal communication (projection, articulation and variation in volume, speed, and pitch) were demonstrated and practiced by the participants through several exercises. Several mechanisms for stimulating positive

Collection

2015 ASEE Zone 3 Conference

Authors

Goutham Chinni; Israel Belachew; Ramazan Asmatulu

., accessed in July 9, 2015.20) https://en.wikipedia.org/wiki/User:Rataguera/draft, accessed in July 14, 2015.Biographical InformationGoutham ChinniMr. Goutham is a MS student in the Department of Mechanical Engineering at Wichita StateUniversity (WSU), and has been working on the biodiesel related projects. He will graduate inMay 2016.Israel Belachew © American Society for Engineering Education, 2015 2015 ASEE Zone III Conference (Gulf Southwest – Midwest – North Midwest Sections)Mr. Israel is a BS student in the Department of Mechanical Engineering at WSU, and has astrong interests in the renewable energy systems. He will graduate in May 2015, and will join

Collection

2015 ASEE Zone 3 Conference

Authors

Francisco Lourenco; Nian Zhang; Sasan Haghani

regularly review and assess local trends and projections of how hydrologicconditions might change in the coming decades. Under the set of cooperative agreements whichgovern water supply planning and management in the Washington Metropolitan Area, the area’sthree main water suppliers are committed to conducting regular forecasts of future demands andresources.Climate change will likely add additional stress to a system facing the challenge of futurepopulation growth. The region’s suppliers are also committed by cooperative agreements toincrease water availability if assessments determine a need to do so. This could be done byfunding structural solutions and/or other means of ensuring a reliable supply. To this end, studieson alternatives to increase

Collection

2015 ASEE Zone 3 Conference

Authors

Sara E. Wilson

understanding of the literature and their own research findings. Such acandidate may have started under the direct guidance of the advisor, but has moved tothe role of independent researcher. This can be evidenced by a dissertation that is asignificant departure from the advisor’s writings, grants, and other work. It may also beevidenced by a dissertation defense discussion where the candidate is able to explain howthey moved the research in new and original directions. An acceptable dissertation levelcandidate will have developed some original ideas and contributions within adissertation project. However, their research is mostly based in the advisor’s researchdirection and proposals. An inadequate candidate has little understanding of theresearch

Collection

2015 ASEE Zone 3 Conference

Authors

Steve E. Watkins

Member Conduct Committee, “ IEEE Student Ethics Competition,” (Accessed 2015). Available: http://www.ieee.org/about/ethics/competition.html.8. National Academy of Engineering (NAE), “Center for Engineering Ethics and Society,” (Accessed 2015). Available: http://www.nae.edu/Projects/CEES.aspx.9. National Academy of Engineering (NAE), “Online Ethics Center for Engineering and Science,” (Accessed 2015). Available: http://www.onlineethics.org.10. Cindy Williams, Intel’s Pentium Chip Crisis: An Ethical Analysis,” IEEE Trans. Of Professional Communication, 40(1), pp. 13-19, 1997.Biographical InformationDR. STEVE E. WATKINS is Professor of Electrical and Computer Engineering at MissouriUniversity of Science and

Conference Session

Track 6: Technical Session 6: An Exploratory Analysis of Cultural Capital Among Black Engineering Students at Minority Serving Institutions

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Jerrod A Henderson, University of Houston - COE; Cheery Chukwukelu, University of Houston; David Horton Jr., University of Houston

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

accommodate a 60-minute interview schedule. The final protocol included 12 questions centered on participants’ lived experiences.● Some leading questions were: ○ What are the biggest barriers or challenges you’ve experienced as an engineering major? ○ What positive experience have you encountered in your engineering major? ○ Please tell me about your engineering journey and why you decided to major in engineering.● We recruited from two universities that we had a relationship with, and administrators that we knew would share our recruitment email quickly since this project was during the summer. We were hoping that participants would respond quickly.● Recruitment yielded 5 participants● Here we describe

Conference Session

Track 3: Technical Session 2: Bridging the Gap: Leveraging Intersectional Leadership to Foster Inclusive Excellence in STEM

Collection

2025 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Beth Anne Johnson, Lamar Creative Co. ; Ershela L. Sims, WEPAN, Inc.; Brooke Charae Coley, Arizona State University, Polytechnic Campus

Tagged Topics

2025 CoNECD Paper Submissions, Diversity

, genders,and socioeconomic backgrounds.Acknowledges and values the contributions of underrepresented groups in STEM fields.Active Learning Strategies:Encourages student engagement through collaborative projects, group discussions, andproblem-based learning that respect different learning styles and perspectives.Facilitates participation from all students, especially those from marginalized groups, bycreating a supportive and inclusive classroom environment.Critical Pedagogy:Challenges traditional power dynamics in the classroom by promoting critical thinkingabout social justice issues, including systemic racism, sexism, and other forms ofdiscrimination.Empowers students to question and critique the status quo in STEM fields, encouragingthem to

Collection

2014 ASEE Zone 4 Conference

Authors

Baird Brueseke; Gordon Romney

-theory-that-underpins-our-moocs/3. Egan, K., (2004). Getting it Wrong from the Beginning -- Our Progressivist Inheritance from Herbert Spencer, John Dewey, and Jean Piaget, New Haven, CT: Yale University Press.4. Deter Project (2013). http://deter-project.org/deterlab-cyber-security-science-facility-capabilities5. Brown, C, Crabbe, R.D, Greenlaw, R., Hoffmeister, C., Monroe, J., Needham, D., Phillips, A., Pollman, A., Schall, S., Schultz, J., Simon, S., Stahl D., Standard, S. (2012). Anatomy, Dissection, and Mechanics of an Introductory Cyber-Security Class’s Curriculum at the United States Naval Academy, Computers in Education Journal, United States Naval Academy, Annapolis, Maryland 21402.6. Yue, C., Zhu, W., Williams

Collection

2015 Pacific Southwest Section Meeting

Authors

Devin D. Cook

layouts and shapes varies between solutions, but, overall the notation is compatible.Unfortunately, these solutions do not sufficiently address the issues regarding semantics nor dothey provide a learning path for students.Future WorkCurrently the software is only available on Microsoft Windows. Since the source was written inMicrosoft C#, efforts will be made to cross-compile it to both Macintosh and Linux. Also, futureversions will feature multi-lingual support. The project website, www.flowgorithm.org, willcontinue to be enhanced with examples, documentation, and relevant information.Additional programming languages will be supported, as needed, by the Source Code Viewer.These include Perl, Objective-C, and Ada. The language itself can also be

Collection

2015 Pacific Southwest Section Meeting

Authors

Eric J. White; George Jing; Sandrine Fischer

. To illustrate this, we consider the TIPP classification mentioned inthe Introduction. TIPP classifies exercises by knowledge type (information and mentalprocedures), which are further divided into six increasingly reflective processes. Homeworkexercises were selected from one chapter of an introductory physics textbook5 used at a largepolytechnic state university. Exercises were classified by two students and one instructoraffiliated with the phiMap project. Figure 6 displays the frequency of exercises per TIPPcategory for this chapter. For this sample audit, we consider only the first three cognitiveprocesses, which in the figure correspond to retrieval (1a–b), comprehension (2a–b), and analysis(3a–e). Note that higher levels (knowledge

Collection

2025 ASEE -GSW Annual Conference

Authors

Haiying Huang, The University of Texas at Arlington; Monica Franco, The University of Texas at Arlington

Tagged Topics

Diversity

. Draw F and the 100 lb force on a piece of paper. Fold the paper into a triangle formed by the three lines shown in the figure.2. Draw the x-y plane and the 100 lb force on another piece of paper. Lay the paper on the table.3. Assemble the triangle from step 1 and the x-y plane from step 2 to demonstrate the force vector F in 3D space.This exercise not only helps the students construct the force vector in 3D space but also helps themlearn the process of breaking a complicated 3D problem into two simpler 2D problems. Aftervisualizing the problem, the students are instructed to rephrase the problem using technical languageand symbols, such as “the projection of force F on the x-y plan is F’. The angle between F and F’ is = 30o. F’ lies in

Collection

2025 ASEE -GSW Annual Conference

Authors

Md Nazmus Sakib, University of North Texas; Maurizio Manzo, University of North Texas; Rattaya Chowdhury Yalamanchili, University of North Texas

of Homeland Security (DHS), and the Texas Department of Transportation (TxDOT), among others.Rattaya Chowdhury Yalamanchili, University of North Texas Dr. Yalamanchili is a Clinical Associate Professor in the Department of Mechanical Engineering. He currently teaches courses in Mechanical engineering (Primarily Design and manufacturing) and in Engineering Management (Project Management, Entrepreneurship, Strategic Management, and Systems Engineering). He has over two decades of experience in Industry both at small startups and large corporations. He has a BTech in Chemical Engineering and an MS and PhD in Mechanical Engineering. He has several patents and publications to his credit

Collection

2025 ASEE -GSW Annual Conference

Authors

Olukayode Emmanuel Apata, Texas A&M University; John O Ajamobe, Texas A&M University; Segun Timothy Ajose; Peter Oluwaseyi Oyewole, Kent State University, Kent; Grace Iyinoluwa Olaitan

administrative workload on educators, allowing them tofocus on higher-order instructional tasks. For instance, in large classrooms or online courses, wheremanual grading can be time-consuming, AI-driven platforms can handle assessments at scale, thusstreamlining the grading process and ensuring consistent evaluation standards (Aggarwal et al., 2023).AI's efficiency in assessment enhances students' educational experience and contributes to moresustainable educational practices by maximizing educators’ time and resources.Facilitating Collaboration and Group WorkAI can also facilitate collaborative learning by providing virtual spaces and tools that support teamwork.AI-driven platforms allow students to collaborate on projects by coordinating tasks

Collection

2025 Northeast Section Conference

Authors

Paul Cotae; Nian Zhang; Onyinye Obioha-Val

,” IGAPSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 409-412, doi:10.1109/IGARSS.2019.8897920.[6] Li, J; Du, Q; Li, Y; Li, W. Hyperspectral Image Classification with Imbalanced Data Based on Orthogonal Complement Subspace Projection. IEEE Trans.Geosci. Remote Sens. 2018, 56,3838-3851.[7] Sun,T.; Jiao, L.; Feng, J.; Liu, F.; Zhang, x. Imbalanced Hyperspectral Image Classification Based on Maximum Margin. IEEE Geosci. Remote Sens.Lett.2015,12,522-526.[8] X. Zheng, J. Jia, J. Chen, S.Guo, L. Sun, and Y. Wang, Hyperspectral Image classification with imbalanced data based on semi-supervised learning, “Applied Sciences, Vol. 12, no. 8, p.3943

Collection

2025 Northeast Section Conference

Authors

Yegin Genc; Gonca Altuger-Genc; Akin Tatoglu

learning goals and provide the context for applying the particular Based on the abovementioned criteria, we discuss a four-step concept.assessment approach integrated into a self-directed learningprocess with AI. These assessment processes can, in turn,regulate student AI interaction and maximize student outcomes. TABLE II. EXAMPLE - BERNOULLI EQUATION (MID-CAREERThe assessment steps can be identified as step 1-Assessing ENGINEER), AI INTERACTION:readiness to learn; step 2- Assessing the learning goals; step 3- Engineer: " working on a hydraulic system design project andAssessing the student

Collection

2025 ASEE North Central Section (NCS) Annual Conference

Authors

Benjamin Lubina, Gannon University; Ramakrishnan Sundaram, Gannon University

Tagged Topics

Diversity

system’s ability to differentiate between objectcharacteristics, addressing challenges related to signal noise, environmental interference, andcomputational efficiency. By building on to prior research done on the same project refining thealgorithms used for classification and visualization, this research seeks to advance real-time Wi-Fi-based imaging for practical applications in security, navigation, and situational awareness.Background Researchers have utilized Wi-Fi routers to detect 3D shapes and movements ofindividuals within a room, effectively enabling imaging through walls. By employing deepneural networks, they mapped Wi-Fi signal parameters to human body coordinates, achievingdetailed human pose estimation without the need for

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 10

Collection

2024 ASEE Annual Conference & Exposition

Authors

Susan J Ely, University of Southern Indiana; Milad Rezvani Rad, University of Southern Indiana

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

required for developing students’ essential skills [2].Although students who used ChatGPT in project-based, reflective, critical thinking, and research-related writing assessments have faced some challenges and shortcomings, they managed to getsatisfactory results with proper training and input. Therefore, the success rate relies on the level ofstudents’ understanding of ChatGPT usage and expected output. However, there is always a riskassociated with mastering this technique that can alter the balance of risk and reward for students[3].Methodology:This case study involved the introduction of a new module regarding Artificial Intelligence inengineering classrooms by looking at the use of generative and non-generative AI in anengineering technical

Collection

2021 Northeast Section Meeting

Authors

Kathleen A. Lamkin-Kennard; Margarent B. Bailey; Michael G. Schrlau

psychological safety. All quantitative datawill be analyzed using descriptive statistical methods to reveal underlying patterns andrelationships between variable of interest and to connect those trends to the qualitative data. Thedata will also be used to inform the focus groups and interviews. Qualitative data for the study will be obtained in part through interviews with current andformer project managers for the Hot Wheelz and Formula teams. These individuals will beinterviewed to obtain contextual information about team structures, practices for onboarding ofnew members, training of new and existing members, opportunities for leadership development,team social activities, or other pertinent information about team attributes and practices

Collection

2025 Northeast Section Conference

Authors

Tariq A. Alshugran; Lina H. Kloub, University of Connecticut

greater transparency and customization opportu- Recent initiatives highlight attempts to create privacy- nities. Universities can deploy these models within controlledpreserving AI frameworks tailored to education. For in- environments, ensuring compliance with regulatory policies.stance, projects focusing on federated learning aim to de- However, maintaining and securing open-source implemen-centralize AI model training, keeping sensitive student data tations requires significant technical expertise and resources,on local devices rather than sending it to external servers [5]. which may pose adoption challenges. Table II provides aAdditionally, open-source AI initiatives are gaining traction as

Collection

2021 Northeast Section Meeting

Authors

Salem Othman; Marisha Rawlins; Afsaneh Ghanavati

that RT-Eval is simpleand intuitive to use and could help students easily communicate with their instructor.7 AcknowledgementWe thank two co-operative work semester (co-op) students from the School of Computing andData Science, Xi Xi Lin and Alex Silkin, who built the prototype system under the supervision ofSalem Othman. We also thank Dr. Tes Zakrzewski, Senior Director, and Joshua Luckens,Instructional Designer, of the Teaching and Learning Collaborative (TLC) at Wentworth Instituteof Technology. Dr. Zakrzewski and Mr. Luckens continue to advise the authors on courseevaluation and assessment throughout this project.8 References[1] J. Watkins and E. Mazur, “Just-in-Time Teaching and peer instruction,” in S. P. Simkins & M. H. Maier

Conference Session

MECH - Technical Session 13: Technological Advancements and Applications

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bingling Huang, California State University, Fullerton; Chan Lu, University of Georgia

Tagged Divisions

Mechanical Engineering Division (MECH)

, “ChatGPT & mechanical engineering: examining performanceon the FE mechanical engineering and undergraduate exams,” arXiv preprint arXiv:2309.15866,2023.[7][8][9][19] A. Armero Martínez, S. Capuz Rizo, and E. Hernández Orallo, “CURRENTAPPLICATION OF ARTIFICIAL INTELLIGENCE TOOL CHAT GPT TO THEDEVELOPMENT OF ENGINEERING PROJECTS.”[10] S. Badini, S. Regondi, E. Frontoni, and R. Pugliese, “Assessing the capabilities of ChatGPTto improve additive manufacturing troubleshooting,” Advanced Industrial and EngineeringPolymer Research, vol. 6, no. 3, pp. 278-287, 2023.[11][12][13][14][24] X. Wang, N. Anwer, Y. Dai, and A. Liu, “ChatGPT for design,manufacturing, and education,” Procedia CIRP, vol. 119, pp. 7-14, 2023.[15][16][17] L. M. Sánchez-Ruiz, S

Collection

2021 Northeast Section Meeting

Authors

Kriti Bhargava; Phillip G. Bradford; Nandor Verba

environment. Update the KLAs such that they can be realized in the online labs while realizing the course learning objectives. 4. Be mindful of the challenges introduced by online learning. Design activities that can enhance student engagement and reduce fatigue. Include group projects to incorporate the social component in learning and build an online community. 5. Always follow up to gather student feedback on the program and adapt for subsequent iterations. Encourage self-directed learning to allow the participants to continue to learn and grow.ConclusionsKLAs have been shown to be effective in Computer Science education. Although a shift toonline

Conference Session

Climate Issues for Women Students

Collection

2006 Annual Conference & Exposition

Authors

Rose Mary Cordova-Wentling, University of Illinois-Urbana Champaign; Cristina Camacho, University of Illinois-Urbana Champaign

Tagged Divisions

Women in Engineering

of U.S. citizens who are training tobecome scientists and engineers, whereas the number of jobs requiring science and engineering(S&E) training continues to grow” (p.1). “If trends continue the United States will lose its abilityto fill the growing demand for science and engineering jobs, yielding [its] global standing tonations such as China and India who are training thousands more engineers and scientists than isthe U.S.” (O’Brien50, 2004, p. 1).The U.S. Department of Commerce62 (1999) projects that by 2010, 50 percent of all U.S. Page 11.1454.2workers will be women. This projection, plus the growth in the science and engineering

Conference Session

Pedagogy in Physics Education, Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Frank Efe; Antony Kinyua, Morgan State University; Ezana Negusse; Neda Bazyar Shourabi, Pennsylvania State University, Berks ; Pelumi Olaitan Abiodun, Morgan State University; Hannah Abedoh, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Arnesto Bowman, Morgan State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Michael M. Malschützky, Hochschule Bonn-Rhein-Sieg, Germany; Christine Kawa; Marco Winzker

Tagged Topics

Diversity

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

collaborated in. In a between-groupdesign, each participating small-group was randomly assigned to one of the three IV levels tocollaborate on ZOOM while (1) using their webcams and microphones (videoconferencing), (2)collaborate with deactivated webcams via microphone only (audioconferencing), or (3) usingonly synchronous text-chat while webcams and microphones remain deactivated.Students of Hochschule Bonn-Rhein-Sieg, University of Applied Sciences (H-BRS), Germanywere invited via e-mail distribution list to participate in an online research project with a durationof approximately 45 minutes during which a fictitious criminal case was to be solved by a small-group of three students. The participants were allowed to form groups on their own or show

Conference Session

Engineering Libraries Division (ELD) Technical Session 1: Engineering Librarianship

Collection

2023 ASEE Annual Conference & Exposition

Authors

Elizabeth C. Novosel, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Engineering Libraries Division (ELD)

experience ableism in a variety of ways, such as discriminatory structures,policies and systems; inaccessible spaces and resources; negative portrayals, beliefs, andstereotypes; or harmful behavior [41], [35]. Some expressions of ableism are overt andaggressive, such as violence, housing discrimination, derogatory language and insults, oravoidance and exclusion [42], [43]. Other variations are more subtle, such as expressions of pity,paternalism, unearned or exaggerated praise, unwanted assistance, or “inspiration porn,” whichrefers to depictions of disabled people used to inspire and motivate nondisabled people [42],[44].2According to their website, Sins Invalid is Sins Invalid is “a disability justice performance project that centerspeople of

Conference Session

Disciplinary Engineering Education Research – Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Sakshi Solanki, Utah State University; kiana kheiri; Marissa A Tsugawa, Utah State University ; Hamid Karimi, Utah State University

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

Science at Michigan State University (MSU) in 2021, with my pri- mary research focus on artificial intelligence (AI) for social good. During my doctoral studies, I explored several intriguing areas, such as AI in education, computational politics, and misinformation detection. As a member of the interdisciplinary Teachers in Social Media project, I concentrated on creating inno- vative and efficient data mining and machine learning algorithms to enhance the quality of PK-12 edu- cation. Throughout my academic journey, I have been honored with multiple awards. These include the Best Paper Award at the IEEE-ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), the Outstanding

Conference Session

Virtual Training, Online and Open Education; Instructional Technology

Collection

2023 ASEE Annual Conference & Exposition

Authors

David Pabst; Lee A. Dosse, University of Pittsburgh; Samantha E Wismer, University of Maryland; Matthew M. Barry, University of Pittsburgh

Tagged Divisions

Educational Research and Methods Division (ERM)

“Traditional,” reflecting the textbookthey used. During the study, t-tests were performed on the two cohorts to search for significantdifferences between the groups in terms of performance on major assessments. These assessmentswere chosen because they were uniform for both cohorts. Only homework and quizzes completedby the Top Hat cohort required the use of significant digits, whereas the Traditional cohort didnot have to use significant digits in both the calculation and reporting of their answers for theirassigned homework and quizzes. These two groups were also involved in a second study involvingtheir course project, therefore the project was removed from the calculation of their final gradeprior to the data being analyzed.For consistency of all

Conference Session

Pre-College Engineering Education Division (PCEE) Technical Session 13: Attitudes & Prespectives of Teachers

Collection

2023 ASEE Annual Conference & Exposition

Authors

Tyler S. Love, University of Maryland Eastern Shore; Andrew John Hughes, California State University, San Bernardino

Tagged Topics

Diversity

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Crumble microcontroller for the PD to meet thesegoals. Similar to the Micro:Bit, the Crumble is a microcontroller that has been used in England’sschools for many years. Previous teacher and student studies have documented success with theCrumble in England and the U.S. due to its durability, affordability, ease of use, wealth ofinstructional resources available, and appropriateness for students and teachers in the elementaryand middle grades who have varying levels of experience with physical computing [5-6,10,28-29]. In addition, the Crumble can be programmed using drag-and-drop block-based coding tocontrol external sensors. Specifically for this project, the Crumble was of interest because it hasbeen shown to have easy compatibility with

Conference Session

First-Year Programs Division (FYP) - Technical Session 9: Identity & Belonging 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Patricia Wonch Hill, University of Nebraska - Lincoln; Lance C. Pérez, University of Nebraska - Lincoln; Sohrab Asgarpoor, University of Nebraska - Lincoln; David Jones, University of Nebraska - Lincoln; Zachary George Short, University of Nebraska-Lincoln; Jennifer N. Rutt, University of Nebraska - Lincoln

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs Division (FYP)

COVID restrictions and having places to go it gets really hectic and hard to communicate. (Cohort 2)This inability to effectively communicate not only limited peer-to-peer discussion, it alsohindered the development of social capital (connections with peers) that otherwise would havebeen supportive of learning within the course. In some instances, this meant limited opportunitiesto conduct group work or projects. In other cases, it meant that they lacked a reference group ofpeers who are also studying in engineering and so they ultimately felt like they were strugglingalone. It really made it hard to get help with projects or talk to people and be like, hey, I'm having an issue, like maybe you're having