Conference Session

Computer-Based Measurements

Collection

2004 Annual Conference

Authors

Stephen Williams; Hadi Saadat

the system on the real-time hardwareA schematic layout of the servomotor is shown in Figure 2. Figure 2. Servo plant schematicFrom the detailed equations describing the electrical and mechanical systems the block diagramrepresentation is obtained as shown in Figure 3. Figure 3. Servo plant block diagramIn the pre-laboratory assignment the student begins the design cycle by obtaining the transferfunction model, controller design, simulation and preparation of the implementation diagram asfollows. The servo plant transfer function neglects the armature circuit inductance θo (s) am

Conference Session

Capstone and Design Projects in Engineering Technology

Collection

2012 ASEE Annual Conference & Exposition

Authors

Biswajit Ray, Bloomsburg University of Pennsylvania

Tagged Divisions

Engineering Technology

inthe course. Course-embedded direct and indirect student assessment data confirm that the mainobjectives of the course presented herein are met.Bibliography 1. J. Choi, W. Grebski, and K. Dudeck, “The Development of Teaching Materials for an Introductory Course in Electrical and Mechanical Engineering Technology,” Proc. ASEE Annual Conf., 2009. 2. G. Ma, “Innovation Teaching Technique in Introduction to Engineering Technology Course,” Proc. World Congress on Engineering and Computer Science, Vol. 1, 2010. 3. S. Ahuja and A. Ross, “Introduction to Engineering Technology: VSU’s New Approach,” Proc. ASEE Southeast Section Conf., 2005. 4. S. Ahuja, “Math Remediation in a First Semester Engineering

Conference Session

Computers in Education Division Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

David N Raizen, UMES; Abhijit Nagchaudhuri, University of Maryland, Eastern Shore; Madhumi Mitra Ph.D, University of Maryland, Eastern Shore

Tagged Divisions

Computers in Education

Su ur -S -S -S -S S t-S

Conference Session

Problem-based and Challenge-based Learning

Collection

2012 ASEE Annual Conference & Exposition

Authors

Leema Kuhn Berland, University of Texas, Austin; William F. McKenna, University of Texas, Austin

Tagged Divisions

Educational Research and Methods

, as such, we do not work to account forstudent variation in student responses to the interview in terms of the teacher differences.The interviews were semi-structured: interviewers were given a set of themes on which to focusand sample questions. The expectation was that interviewers would engage in a conversationwith the interviewee in which they worked to elicit student’s thoughts about 5 focal themes. Asa result, we consider the interviews a “negotiated text” 4 (p. 663) that was co-constructed throughthe conversation of the interviewer and interviewee(s). For the purpose of this paper, we focuson 2 thematic categories, including: 1. What is the student’s understanding of the engineering design process? 2. What STEM concepts did the

Conference Session

ABET: Reflections on Accreditation

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ryan Fries, Southern Illinois University, Edwardsville; Sree Kalyani Lakkaraju, Southern Illinois University, Edwardsville; Brad Cross, Southern Illinois University, Edwardsville; Susan M. Morgan, Southern Illinois University, Edwardsville; Andrea L. Welker, Villanova University

Tagged Divisions

Civil Engineering

and “CEE Professional Practice” at Villanova University 11.Both of these universities reported that students were able to obtain the desired attributes, better-preparing them for their careers.The current CE program criteria are more reflective of the BOK I as opposed to the secondedition of the BOK (BOK II). The BOK I had 15 outcomes, while the BOK II has 24. The BOKII divides the 24 outcomes into the following categories: four foundational, 11 technical, and 9professional. There is overlap between the outcomes described in both editions of the BOK andthe outcomes included in ABET‟s criterion 3 (a-k). The BOK II is also more closely tied toBloom‟s taxonomy, as is reflected in the careful choice of active verbs to indicate the level

Conference Session

Outstanding Contributions to Student Learning through Laboratory Experiences

Collection

2012 ASEE Annual Conference & Exposition

Authors

Jean Jiang, Purdue University, North Central; Li Tan, Purdue University, North Central

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

coding with applications to speech signal Lab 4. Sampling rate conversion and polyphase implementations Lab 5. Image processing basics Lab 6. Image processing: edge detection, pseudo color generation and JPEG color image compression Project: Real-time DSP project: tonal noise cancellationNotice that for labs 1-4 and course projects, students are required to perform MATLABsimulations first and then are required to focus on hands-on real-time DSP implementationsusing the TMS320C6713 board(s). The specific learning outcomes for adaptive filteringtechniques are listed below:Learning outcome 1: Given an objective function such the mean squared error (MSE) function

Collection

1997 Annual Conference

Authors

Janet K. Allen; Farrokh Mistree; David D. Clark; David W. Rosen

the design process, and vary between groupmembers. Thus in the early stages of design, a sketch of an approximate configuration of theproduct may be useful, but detailed drawings will be required later for designers interested in aparticular subsystem. However, level of detail is not the only issue; we believe that differenttypes of information are required at different stages in design.1.3 Function, Behavior and Structure P F S D Reformulation P: Problem F: Function Synthesis Be: Behavior

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sreyoshi Bhaduri, Amazon ; KENNETH OHNEMUS, Amazon; Jessica Blackburn; Anshul Mittal, Amazon; Yan Dong, Amazon; Savannah LaFerriere; Robert Pulvermacher; Marina Dias, Amazon; Alexander Gil; Shahriar Sadighi; Neerav Kumar, Amazon

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

/jee.20048.[5] O. Rompelman, “Assessment of student learning: Evolution of objectives in engineeringeducation and the consequences for assessment,” European Journal of Engineering Education,25(4), 2000, pp. 339-350.[6] R.M. Felder and B.A. Soloman, “Learning styles and strategies,” 2000[7] J. Ventura, “Applying EC 2000 criteria to engineering programs,” In 2003 AnnualConference, Proceedings of the 2003 American Society for Engineering EducationAnnual Conference & Exposition, June 2003, pp. 8-230.[8] T.M. Chowdhury, S. Bhaduri and H. Murzi, “Understanding the development of teamworkcompetency to comprehend the transformation in systems engineering discipline,” In 2021 ASEEVirtual Annual Conference Content Access. July 2021.[9] D.L. Evans

Conference Session

Faculty Development Division (FDD) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Himani Sharma; Jennifer Hadley Perkins, Arizona State University; Samantha Ruth Brunhaver, Arizona State University; Adam R Carberry, The Ohio State University

Tagged Divisions

Faculty Development Division (FDD)

it just leaves people feeling really upset. And so then if you do commit, block off some time, however long you think it'll take you, maybe an hour, maybe two. And then, whatever you have done in that time, just send it, right? Like, I feel like people are so worried about like, "Oh, I'm either going to do it great or not going to do it at all."Overall, these results cover various supportive measures and align well with instrumental andpsychosocial mentoring functions [21]. They also provide important insights into how juniorengineering faculty’s mentoring perceptions and experiences can be shaped by the actions takenby their mentor(s), especially those related to establishing open communication and

Conference Session

Experiential Learning in ET Programs II

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aleksandr Sergeyev, Michigan Technological University; Vinh Nguyen, Michigan Technological University; Paniz Khanmohammadi Hazaveh, Michigan Technological University; Linda Wanless, Michigan Technological University; Mark Bradley Kinney, West Shore Community College; Scott A. Kuhl, Michigan Technological University; David Michael Labyak, Michigan Technological University

Tagged Topics

Diversity

Tagged Divisions

Engineering Technology Division (ETD)

by National Science Foundation Experiential Learning for Emergingand Novel Technologies (ExLENT), Award No. ITE- 2322532. References:1. Teaching Critical Skills in Robotic Automation: iR-Vision 2D Course in Robotic Vision Development and Implementation, A. Sergeyev, S. Parmar, N. Alaraje, Technology Interface International Journal, 013-T-16, V17, #2, p. 13, 2017.2. Robotics and Automation Professional Development Workshop for Faculty, A. Sergeyev, N. Alaraje, Technology Interface International Journal, V17, #1, p.99, 2016.3. University, Community College and Industry Partnership: Revamping Robotics Education to Meet 21st Century Workforce Needs, A. Sergeyev, N. Alaraje, S. Kuhl

Conference Session

MECH - Technical Session 13: Technological Advancements and Applications

Collection

2024 ASEE Annual Conference & Exposition

Authors

Golnaz Mirfenderesgi, The Ohio State University; Syedah Zahra Atiq, The Ohio State University

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering Division (MECH)

theyare more capable of performing a task. In this vein, constructive feedback plays a crucial role indeveloping strong self-efficacy beliefs. The fourth source of self-efficacy beliefs is emotionalarousal. Emotional arousal, that happens during challenging situations, can also help peopleinform themselves of their expectations of self-efficacy. High levels of emotional arousal canhamper an individual’s performance by increasing anxiety and stress.3. Research Question(s)This type of research, called sequential explanatory mixed-methods research, is practical in itsapproach. The research questions play a crucial role in guiding and shaping the entire process,including choosing the research design, determining the sample size, and selecting

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Amber Simpson, State University of New York at Binghamton; Adam Maltese, Indiana University, Bloomington; Kelli Paul, Indiana University, Bloomington; Lauren Penney, Indiana University, Bloomington

Tagged Topics

NSF Grantees Poster Session

to continue with the work as part of theirpractice. This may relate to the fact that it was done “in situ” with examples from their ownspaces with their peers. As noted by Borko et al. [37] and Seidel et al., [38], in situ has morepotential to motivate and promote change in instruction and learning.AcknowledgementsThis material is based upon work supported by the National Science Foundation under [grantnumber 2005927] (Binghamton University) and [grant number 2005860] (Indiana University).Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation.References[1] P. S. Lottero-Perdue, “Elementary student reflections

Conference Session

Computers in Education Division (COED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ibukun Samuel Osunbunmi, Pennsylvania State University; Stephanie Cutler, Pennsylvania State University; Viyon Dansu, Florida International University; Yashin Brijmohan, University of Nebraska, Lincoln; Bolaji Ruth Bamidele, Utah State University; Abasiafak Ndifreke Udosen, Purdue University, West Lafayette; Lexy Chiwete Arinze, Purdue University, West Lafayette; Adurangba Victor Oje, University of Georgia; Deborah Moyaki, University of Georgia; Melissa J Hicks, Pennsylvania State University; Bono Po-Jen Shih, Pennsylvania State University

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

regarding the eligibility of ChatGPT as an author [31], [32]. These ethicalconcerns play a valuable role by offering opportunities to steer the implementation of GAI inethically responsible ways.Research Questions a) What are students’ and instructors’ perceived literacy of GAI (e.g. knowledge, skills, and abilities)? b) How do students and instructors experience the usefulness and effectiveness of GAI in their course(s)?Theoretical FrameworkThere are many theoretical lenses that one can consider when investigating the experiences ofstudents and instructors using GAI. This paper is primarily interested in the participant literacyregarding GAI and their perceived usefulness and effectiveness of the technology. To explorethis, we

Conference Session

Faculty Development Division (FDD) Technical Session 7

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sarah Lynn Orton P.E., University of Missouri, Columbia

Tagged Divisions

Faculty Development Division (FDD)

Enhance Learning and Teaching (TFLET),” University of Missouri System, [Task Force Report]., Jun. 2021.[3] S. D. Brookfield, “Using the lenses of critically reflective teaching in the community college classroom,” New Directions for Community Colleges, vol. 118, pp. 31–38, 2002, doi: 10.1002/cc.61.[4] A. R. Brown, C. Morning, and C. Watkins, “Influence of African American engineering student perceptions of campus climate on graduation rates,” Journal of Engineering Education, vol. 94, no. 2, pp. 263–271, 2005.[5] L. Deslauriers, L. S. McCarty, K. Miller, K. Callaghan, and G. Kestin, “Measuring actual learning versus feeling of learning in response to being actively engaged in the classroom,” Proceedings of the National

Conference Session

Student Engagement in Construction Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Hariharan Naganathan, Wentworth Institute of Technology; John Cribbs Ph.D., Wentworth Institute of Technology

Tagged Topics

Diversity

Tagged Divisions

Construction Engineering Division (CONST)

student learning outcomes and promotethe adoption of modern pedagogy and methodologies for knowledge transfer and retentionassessment. The authors hope the proposed framework will be useful for others seeking to improvetheir curricula and enhance student learning.References[1] “The Integrated Postsecondary Education Data System.” Accessed: Apr. 13, 2023. [Online].Available: https://nces.ed.gov/ipeds/use-the-data[2] “ACCE | Accreditation for Construction Education.” Accessed: Feb. 07, 2024. [Online].Available: https://www.acce-hq.org/[3] “Home - ABET.” Accessed: Feb. 07, 2024. [Online]. Available: https://www.abet.org/[4] V. B. Salakhova, L. V Shukshina, N. V Belyakova, A. V Kidinov, N. S. Morozova, and N. VOsipova, “The Problems of the COVID-19

Conference Session

Virtual and Augmented Reality Application in Manufacturing Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Richard Chiou, Drexel University; Tzu-liang Bill Tseng, University of Texas at El Paso; Md Fashiar Rahman, The University of Texas at El Paso

Tagged Topics

Diversity

Tagged Divisions

Manufacturing Division (MFG)

freehand tab was used to jog the robot joints. The import library was used toimport a tool to attach to the robot. A table was imported for the tool to operate on. Targets wereset on the four corners of the table. A path was created between the four corners and. A path can betaught instructions by manually jogging joints. When the path between the four corners wasdefined, the robot was made to move along the path. This was simulated at different speeds of 200,400, 600, 800, and 1000 mm/s and the cycle time to go along the path was recorded. The cycle timedecreased as speed increased. This decrease was the steepest from 200 to 400 mm/s and keptgetting less and less steep.The experiment demonstrated how RobotStudio can be used to mimic the function

Conference Session

Enhancing Environmental Engineering Education

Collection

2010 Annual Conference & Exposition

Authors

Jess Everett, Rowan University

Tagged Divisions

Environmental Engineering

-books: the views of 16,000 academics: Results from the JISC National E-Book Observatory”, Aslib Proceedings: New Information Perspectives 61(1):33-47.7. Appleton, L. (2005) “Using electronic textbooks: promoting, placing and embedding”, The Electronic Library, 23(1):54-63.8. Dong, S., S. Xu and X. Lu (2009) “Development of online instructional resources for Earth system science education: An example of current practice from China”, Computers & Geosciences, 35:1271–1279.9. Ravid, G., Y. Kalman, and S. Rafaeli (2008) “Wikibooks in higher education: Empowerment through online distributed collaboration”, Computers in Human Behavior, 24:1913–1928.10. Crestania, F. and M. Melucci (2003) “Automatic construction of hypertexts for

Conference Session

The Computer, the Web, and the ChE

Collection

2002 Annual Conference

Authors

David Clough

that they canuse immediately, during the same semester, in other courses and activities is important to studentmotivation. Providing a gateway to subsequent use of the software tools and, for some students,to building their computing knowledge in follow-on courses completes the picture. This paperand presentation will provide details of the course design, its evolution, and its evaluation bystudents and external examiners.Evolution of engineering computing – from “Slide Rule 100” to “CS 101”From the 1950’s through the 1960’s in the US, traditional introductory engineering courses thatfocused on calculations with slide rules and log tables and graphical representation ofinformation were modified to include scientific numerical computer

Conference Session

ECE Design, Capstone, and Engr. Practice

Collection

2002 Annual Conference

Authors

Paul Salama; Charles Yokomoto; Maher Rizkalla

draft report due.15 Final presentation and submit written reportVI. Assessing the Team Performance for ABET EC 2000 Table 2 below demonstrates how the assessment of the team’s performance on the projectcan satisfy many of the competencies stated in EC2000’s Criterion 3. The items in the leftcolumn describes the competencies that students are graded on, and the cells marked with an Xshow how they are linked to ABET EC2000’s Criterion 3, items a-k.VII. DESIGN OVERVIEW The design objectives for this project were to improve the video quality and maximize the framerate for the transmission of video between two computers over the Internet and/or a Local AreaNetwork (LAN). A description of the students’ approach is given in

Collection

2024 ASEE-GSW

Authors

Lance Leon Allen White, Texas A&M University; Trini Balart, Texas A&M University; Kristi J. Shryock, Texas A&M University; Karan Watson P.E., Texas A&M University

qualities, such as creativity and ethicalreasoning, essential in the context of Industry 5.0 [7]. This conceptual framework has been proposedwith findings obtained from a comprehensive literature review and empirical data from the studentand faculty responses also discussed in this paper. The work analyzes the potential of AI to fosterthese human-centered qualities. The framework suggests dynamic, interdisciplinary learningenvironments and personalized educational trajectories, emphasizing continuous adaptation, lifelonglearning, and addressing the ethical issues of AI application. This approach modernizes engineeringeducation to meet Industry 5.0's demands and promotes comprehensive, human-centered learningexperiences, preparing technically

Conference Session

Track 4: Technical Session 5: Using a Summer Bridge Program to Develop a Situational Judgment Inventory: From Year 1 to Year 2

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Malini Josiam, Virginia Tech Department of Engineering Education; Walter C. Lee, Virginia Polytechnic Institute and State University

Tagged Topics

CoNECD Paper Sessions, Diversity

. Research Team Dr. Walter Lee Malini Josiam Artre Turner Crystal Pee Taylor Johnson Dr. Janice Hall Associate Professor PhD Student PhD Student PhD Student PhD Student Postdoc This material is based upon work supported by the National Science Foundation under Grant No. 1943811. "Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

Wendi M. Kappers, Embry-Riddle Aeronautical University; Stephanie Cutler, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

collaborative administration and industry mentorship planning used to increase enrollments of woman and minorities with declared majors in the areas of Computer Science (CS), Engineering (E), Mathematics (M), and Science (S). Currently, Dr. Kappers is the fulltime Di- rector of the Rothwell Center for Teaching and Learning Excellence Worldwide Campus (CTLE – W) for Embry-Riddle Aeronautical University. In addition, she holds Adjunct Assistant Professor status in the College of Arts and Sciences, Worldwide Campus, teaching RSCH 202 – Introduction to Research Methods, and in the College of Engineering, Daytona Beach Campus, teaching CS120 – Introduction to Computing in Aviation. Both positions allow her to stay focused upon

Conference Session

Discipline Specific Topics and Techniques

Collection

2014 ASEE Annual Conference & Exposition

Authors

Katy Luchini-Colbry, Michigan State University; Korine Steinke Wawrzynski, Michigan State University; Megan A. Shannahan, Michigan State University

Tagged Divisions

Graduate Studies

individuals mostinvolved in mentoring undergraduate researchers, the invitation emails specifically requested thatthe survey be completed by the individual most involved in mentoring the undergraduate(s).We were surprised to find that, on both surveys, more than 70% of respondents indicated thatthey were faculty members and about 20% of respondents were post-docs or graduate students.The few respondents who selected “other” included a post-bachelor lab manager and otherresearch staff. Table 1 summarizes the respondents’ self-identified roles at the University. Table 1: Respondents by University Role Pre-Survey (n=47) Post-Survey (n=56) What is your role at the

Conference Session

FPD 6: Transitions and Student Success, Part II

Collection

2013 ASEE Annual Conference & Exposition

Authors

Valerie C. Lundy-Wagner, New York University; Noah Salzman, Purdue University, West Lafayette; Matthew W. Ohland, Purdue University, West Lafayette

Tagged Divisions

First-Year Programs

enable engineering schools to produce better-informed retention strategiesand transform engineering education. Page 23.1031.8References1. AAU Undergraduate STEM Initiative. Five-Year Initiative for Improving Undergraduate STEM Education. (AAU, 2011).2. Boyer Commission on Educating Undergraduates in the Research University. Reinventing Undergraduate Education: A Blueprint for America’s Research Universities. (Carnegie Foundation for the Advancement of Teaching, 1998). at 3. Litzinger, T., Van Meter, P., Kapali, N., Zappe, S. & Toto, R. Translating education research into practice within an engineering

Collection

2024 ASEE Midwest Section Conference

Authors

Alejandra T. Velasco; Abhishek Juneja

, "Escape rooms for education: A meta-analysis," International Journal of Instruction, vol. 17, no. 4, pp. 219-234, 2024.[3] A. I. V. Vörös and Z. Sárközi, "Physics escape room as an educational tool," in AIP Conference Proceedings, 2017, vol. 1916, no. 1: AIP Publishing.[4] S. Nicholson, "Creating engaging escape rooms for the classroom," Childhood Education, vol. 94, no. 1, pp. 44-49, 2018.[5] C. Borrego, C. Fernández, I. Blanes, and S. Robles, "Room escape at class: Escape games activities to facilitate the motivation and learning in computer science," JOTSE, vol. 7, no. 2, pp. 162-171, 2017.[6] J. Moffett and D. Cassidy, "Building a digital educational escape room using an online design-thinking

Conference Session

Fostering Diversity and Innovation in Engineering Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Bianca Estella Salazar, University of California, Merced; Melissa Almeida, University of California, Merced; Zenaida Aguirre Munoz Ph.D., University of California, Merced; Maribel Viveros, University of California, Merced

Tagged Topics

Diversity

Tagged Divisions

Minorities in Engineering Division(MIND)

. Ballen, C. Wieman, S. Salehi, J. B. Searle, and K. R. Zamudio, “Enhancing Diversity inUndergraduate Science: Self-Efficacy Drives Performance Gains with Active Learning,” LSE,vol. 16, no. 4, p. ar56, Dec. 2017, doi: 10.1187/cbe.16-12-0344.[3] K. Ellis, “The impact of perceived teacher confirmation on receiver apprehension,motivation, and learning,” Communication Education, vol. 53, no. 1, p. 2, Jan. 2004, doi:10.1080/0363452032000135742.[4] S. Freeman et al., “Active learning increases student performance in science, engineering,and mathematics,” Proc. Natl. Acad. Sci. U.S.A., vol. 111, no. 23, pp. 8410–8415, Jun. 2014, doi:10.1073/pnas.1319030111.[5] A. Skulmowski and G. D. Rey, “Embodied learning: introducing a taxonomy based on

Conference Session

Architectural Engineering Division (ARCHE) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Filza H. Walters, Texas A&M University; Nadia Shuayto, Ohio Northern University; Saira Anwar, Texas A&M University

Tagged Divisions

Architectural Engineering Division (ARCHE)

26, 2024].[6] “14 Grand Challenges for Engineering in the 21st Century.” National Academy of Engineering (NAE) Grand Challenges for Engineering, 2024. [Online]. Available: https://www.engineeringchallenges.org/challenges.aspx. [Accessed March 26, 2024].[7] S. B. Parry, "Just what is a competency? (And why should you care?)," Training, vol. 35, (6), pp. 58-64, 1998. [Online]. Available: http://proxy.library.tamu.edu/login?url=https://www.proquest.com/trade-journals/just-what- is-competency-why-should-you-care/docview/203387096/se-2.[8] H. E. Nejad, H., “A systematized literature review: Defining and developing engineering competencies.” in ASEE Annual Conference & Exposition 2017, Columbus, Ohio, USA, June 25-28, 2017

Collection

2013 Pacific Southwest Section Meeting

Authors

Danyang Li; Qiao Zhen; Albert Gordon; Bhaskar Raj Sinha; Marcos Turquetti; Mohammad N. Amin

iiE.aspx3. Goog le Play On lin e. Goog le Pla y Report: In Ca se o f Em erg ency (ICE). (2012 ). Ju ly 28, 2012 from h ttps://p lay.goog le.co m/sto re/apps/details? id=com. appv en tive.ice4. L a tes t Andro id App s On lin e. Em erg ency Backpa ck App Review. (2012). Ju ly 29, 2012 fro m h ttp ://latestand roid apps.n et/app s/too ls/emer g ency-backp a ck /5. Sk ys cap e On lin e. Fr ee S ky scap e Me d ica l R esou rc e App. (2012). Ju ly 29, 2012 from h ttps://www. sk ys cape.co m/ind ex /ho me . aspx6. Med s cap e Mob ile On lin e. Med s cap e Mob ile App lica tion. (2012) . July 29 , 2012 f ro m h ttp ://www.me d s cape.co m/pub lic/mo b ileapp7. Epo crates On lin e. Epocrates Med ica l App lica tion fo r Andro id. (2012). Ju ly 29

Collection

2007 ASEE Midwest Section Conference

Authors

W. Roy Penney; Rachel M. Lee; Meagan E. Magie; Edgar C. Clausen

⋅ N t (7)The unfinned area of the air side tubes was calculated from the average distance between fins,and the number of fins in the horizontal and vertical directions using the equation: Aunfin = 2 ⋅ S ⋅ t radiator ⋅ N f ,horizontal ⋅ N f ,vertical (8)The total heat transfer area on the air side was then calculated from the area of the fins, theunfinned area and the fin efficiency by the equation: As = Aunfin + A fin ⋅η (9)The heat transfer area on the ethylene glycol solution side of the tubes was calculated from theheight, length and width of the tubes, using the equation: Asol = 2 ⋅ (H tube + 2

Conference Session

Student Division Technical Session 1: Student Experiences and Support

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tiffany Chan, University of California, Davis; Tate L Chatfield, University of California, Davis; Xianglong Wang, University of California, Davis

Tagged Divisions

Student Division (STDT)

informal interactions between students and faculty. Our research uses Driscoll et al.'s[14] student-faculty interaction assessment model to evaluate students' sense of belonging,incorporating Likert-scale questions and free-response inquiries to capture nuanced aspects oftheir experiences. By focusing on both immediate and lasting impacts, our investigation seeks toidentify improvements in students' perceptions and assess the sustainability of these positiveoutcomes over time.This study contributes to the broader discourse on student engagement, community building, andretention strategies in engineering or higher education in general with the translation from BMEeducation. The findings not only provide insights into the effectiveness of informal