Conference Session

Foundations for Pedagogical Success

Collection

2016 ASEE Annual Conference & Exposition

Authors

Tanya Kunberger P.E., Florida Gulf Coast University; Chris Geiger, Florida Gulf Coast University; Kimberly A. Reycraft, Florida Gulf Coast University

Tagged Divisions

Engineering Libraries

educational objectives. (Allyn & Bacon, 2001).15. Mellon, C. A. Library Anxiety: A Grounded Theory and Its Development. Coll. Res. Libr. 76, 276–282 (2015).16. Onwuegbuzie, A. J., Jiao, Q. G. & Bostick, S. L. Library Anxiety: Theory, Research, and Applications. (Scarecrow Press, 2004).17. Jiao, Q. G., Onwuegbuzie, A. J. & Lichtenstein, A. A. Library anxiety: Characteristics of ‘at-risk’ college students. Libr. Inf. Sci. Res. 18, 151–163 (1996).18. Molteni, V. E. & Chan, E. K. Student Confidence/Overconfidence in the Research Process. The Journal of Academic Librarianship 41, 2–8 (2015).19. Head, A. J. & Eisenberg, M. B. Truth Be Told: How College Students Evaluate and Use Information in the Digital

Conference Session

First-Year Programs Division Technical Session 1: It's All About Teams and Teamwork

Collection

2015 ASEE Annual Conference & Exposition

Authors

Fernando Garcia Gonzalez, Florida Gulf Coast University; Janusz Zalewski, Florida Gulf Coast University

Tagged Topics

Diversity

Tagged Divisions

First-Year Programs

evaluated by the authors. Session 1 Session 2 Presentation Q&A Presentation Q&A 0.4286 0.9333 0.7241 0.5926 no input 4 8 10 12 -1 8 0 2 0 0 4 2 4 11 1 23 29 23 16 Observation: 1. The value of 0.4286 indicates the results could have been better but was still a worthwhile effort. Recall the value could go negative. Note there 23 out of 39 students indicated the

Conference Session

Circuits and Systems Education 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Brian J Skromme, Arizona State University; Dan Robinson

Tagged Divisions

Electrical and Computer

physics reasoning: A commitment to substance-based conceptions,” Cognition and Instruction 18, 1 (2000).12 P. V. Engelhardt, “Examining students' understanding of electrical circuits through multiple-choice testing andinterviews,“ Ph.D. Thesis, North Carolina State University, 1997. Page 26.158.1413 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012

Conference Session

Ocean and Marine Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

William M. Simpson Jr., U.S. Coast Guard Academy; Raymond S. McCord, Massachusetts Institute of Technology

Tagged Divisions

Ocean and Marine

) Determine M W,Hog [MT-m] from Eqn 3.5.1.a. Determine total bending moment, MT,Hog = M W,Hog + M SW. (G) Determine M W, horiz [MT-m] from Eqn 3.5.3. (H) Determine wave vertical Shear, Q W,V from Eqn 3.5.5. [MT] Determine total vertical shear Q T,W = Q W,V + QSW. [MT] (I) Determine minimum value of the section modulus = Z min [m3] from Eqn 3.6.3. Compare the value with the minimum (deck or keel) section modulus for the barge.Part II: POSSE CalculationsModel the barge in POSSE geometrically and structurally using Reference (2) as a guide. Input the fullload condition and determine shear, bending moment and stress for still water, hogging and saggingconditions (SW, S, H). All answers are to be in the

Conference Session

Identity and Engineering: ERM Roundtable

Collection

2015 ASEE Annual Conference & Exposition

Authors

Allison Godwin, Purdue University, West Lafayette; Gerhard Sonnert, Science Education Department, Harvard-Smithsonian Center for Astrophysics; Philip Michael Sadler, Harvard Smithsonian Center for Astrophysics

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods

. Page 26.1552.1210. Oyserman, D.; Destin, M.; Novin, S. Self Identity 2014, 1–16.11. Fugate, M.; Kinicki, A. J.; Ashforth, B. E. J. Vocat. Behav. 2004, 65, 14–38.12. Ibarra, H. Adm. Sci. Q. 1999, 44, 764–791.13. Ibarra, H. Identity transitions: possible selves, liminality and the dynamics of career change; 2005.14. Kerpelman, J. L.; Pittman, J. F. J. Adolesc. 2001, 24, 491–512.15. Godwin, A.; Potvin, G. Int. J. Eng. Educ. (In Press. 2015.16. Pizzolato, J. E. Cultur. Divers. Ethnic Minor. Psychol. 2006, 12, 57–69.17. Committee on K-12 Engineering Education. Engineering in K-12 education: Understanding the Status and Improving the Prospects; Katehi, L.; Pearson, G.; Feder, M. A., Eds.; The National Academies Press

Conference Session

NSF Grantees’ Poster Session

Collection

2015 ASEE Annual Conference & Exposition

Authors

Brian J Skromme, Arizona State University; Paul Rayes, Arizona State University; Brian McNamara, Arizona State University; Xiaoxuan Wang, Arizona State University; Yih-Fang Huang, University of Notre Dame; Daniel H. Robinson, Colorado State University; Xiang Gao, Arizona State University; Theodore Thompson

Tagged Topics

NSF Grantees Poster Session

providing thetextbook copies used in our laboratory experiment and for his support of the project.References1 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012), p.Paper 4437.2 B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank,“Teaching linear circuit analysis techniques with computers,” in Proceedings of the 2013 American Society for

Conference Session

ME Demonstrations and Laboratories

Collection

2017 ASEE Annual Conference & Exposition

Authors

Jeffrey C. Hayen, Oregon Institute of Technology

Tagged Divisions

Mechanical Engineering

following auxiliary functions to facilitate the evaluation of µmin : r (θ ) ≡ 32 − 2 d∗ cos θ q (θ ) ≡ r (θ ) Rg θ 2 = r (θ o ) − r (θ ) (B-15) r (θ o ) p (θ ) ≡ − r (θ ) Rg θ = r (θ ) d∗ sin θ APPENDIX B: NEWTONIAN METHOD SUPPLEMENTWhen the functions indicated in Eqs. (B-15) are combined with Eq. (B-12), a simpler expressionfor µmin is obtained as a function of θ alone: (1 − d∗ cos θ ) p(θ ) − (d∗ sin θ ) q(θ

Conference Session

Learning and Assessment in ME 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Ana Dyreson P.E., University of Wisconsin, Madison; Corinne R. Henak, University of Wisconsin, Madison

Tagged Topics

Diversity

Tagged Divisions

Mechanical Engineering

Worksheet Worksheet Worksheet Worksheet Learning outcomes Bloom Question Bloom Question Illustrate the planes where shear stresses in beams develop. Explain under what loading transverse shear in beams develops. Comprehension ws5a Q5 Comprehension ws5 Q6 Demonstrate how transverse loads on a beam generate shearing stresses Identify the correct area for calculation of Q. Application ws5a Q6 Application ws5 Q9 Identify the location of the maximum transverse shear. Application ws5a Q7 Application ws5 Q7 Determine transverse shear in a beam

Conference Session

Changing the Engineering Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Rania Al-Hammoud P.Eng., University of Waterloo; Arshia Khan, University of Minnesota, Duluth; Ona Egbue, University of Minnesota, Duluth; Stephen Phillips, University of Waterloo

Tagged Divisions

Educational Research and Methods

online social platforms for education is not a new conceptfor students. In fact, it is not uncommon for a new cohort of University of Waterlooundergraduate students to actively maintain a closed online discussion group (e.g., Facebook) tocommunicate class news, course-related Q&A, and other discussion. Instructors are rarelyincluded in these existing conversations. Students who use these online groups to ask course-related questions enjoy the benefits of peer-to-peer learning and convenience of obtaining quickanswers without having to leave their study area, but at the possible cost of accuracy andcompleteness of response. This presents an opportunity to create a formal discussion forum thatcan be actively moderated by the instruction team

Conference Session

Engineering and Public Policy Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Andrew Katz, Purdue University, West Lafayette; Donna M. Riley, Purdue University, West Lafayette

Tagged Divisions

Engineering and Public Policy

, 1969.[6] “Milton Friedman in his own words,” Becker Friedman Institute, 2012. .[7] D. D. Dill, “Higher education markets and public policy,” High. Educ. Policy, vol. 10, no. 3–4, pp. 167–185, Sep. 1997.[8] B. Jongbloed, “Marketisation in higher education, Clark’s triangle and the essential ingredients of markets,” High. Educ. Q., vol. 57, no. 2, pp. 110–135, Apr. 2003.[9] L. Lomas, “Are students customers? Perceptions of academic staff,” Qual. High. Educ., vol. 13, no. 1, pp. 31–44, Apr. 2007.[10] G. Sharrock, “Why students are not (just) customers (and other reflections on life after George ),” J. High. Educ. Policy Manag., vol. 22, no. 2, pp. 149–164, Nov. 2000.[11] D. B. Saunders, “Exploring a Customer Orientation: Free

Conference Session

Design in Engineering Education Division: Design Mental Frameworks

Collection

2019 ASEE Annual Conference & Exposition

Authors

Joanna Tsenn, Texas A&M University; Heather S. Lewis, Texas A&M University; Astrid Layton, Texas A&M University

Tagged Topics

Diversity

Tagged Divisions

Design in Engineering Education

hours (gray), 4-8 hours (diagonals), 8-12 hours (dotted), or more than 12 hours per week (white). Table 6. Summary of Tukey HSD results for weekly effort groups with statistically significant differences. Self-Concept Group 1 Group 2 Q statistic p-value Confidence < 4 hours 12+ hours 3.833 0.035 Motivation < 4 hours 4-8 hours 5.479 0.001 Motivation < 4 hours 8-12 hours 6.072 0.001 Motivation < 4 hours 12+ hours 5.892 0.001

Conference Session

Mentoring Practices and Project Teams

Collection

2018 ASEE Annual Conference & Exposition

Authors

Shane Paul Lorona, Oregon State University; Susan Bobbitt Nolen, University of Washington; Milo Koretsky, Oregon State University

Tagged Divisions

Educational Research and Methods

: Yeah but then… S1: Think about the physical system and what’s going to be happening and how the heat transfer is going to change…as the temperature inside the pipe increases to our target… Q out is going to increase because your temperature gradient is getting larger. Right? S2: I think it’ll go…I think it’ll actually go the opposite way, it’ll come down because there will be less of a temperature gradient.Figure 1: Examples of self-construction and collaborative engagement in team dialogueAnalyzing the remaining lines of dialogue in Figure 1, S1 must defend his hypothesis to histeammates who are questioning its validity. The dialogue is laden with engineering worldreasoning, leading to substantive exchange

Conference Session

Technical Session 1: Issues Impacting Students Learning How to Program

Collection

2019 ASEE Annual Conference & Exposition

Authors

J.w. Bruce, Tennessee Technological University; Bryan A. Jones, Mississippi State University; Mahnas Jean Mohammadi-Aragh, Mississippi State University

Tagged Divisions

Computers in Education

. Survey Statement ChoicesQ1 I would rate my knowledge of HDL and digital Poor (0), Fair (1), Satisfactory systems design knowledge at the start of the course (2), Very Good (3), Excellent (4)Q2 I would rate my knowledge of HDL and digital Poor (0), Fair (1), Satisfactory systems design knowledge at the conclusion of the (2), Very Good (3), Excellent (4) courseQ3 Writing detailed and descriptive comments in my HDL Strongly disagree (-2), Disagree descriptions helped me to learn. (1), Neither disagree or agree (0), Agree (+1), Strongly agree (+2)Q4 I would have rather had traditional Q

Conference Session

NSF Grantees: Student Learning 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brian J. Skromme, Arizona State University; Caleb Redshaw, Arizona State University; Abhishek Gupta; Shatrughn Gupta, Arizona State University; Petru Andrei, Florida A&M University/Florida State University; Hector Erives, University of Texas at El Paso; Deanna Bailey, Morgan State University; Willie L. Thompson II, Morgan State University; Srividya Kona Bansal, Arizona State University; Wendy M. Barnard, Arizona State University

Tagged Topics

Diversity, NSF Grantees Poster Session

thank Don Fowley of John Wiley & Sons, Inc. for supportingthe project.References[1] K. VanLehn, "The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems," Educat. Psychologist, vol. 46, pp. 197-221, 2011.[2] C. D. Whitlatch, Q. Wang, and B. J. Skromme, "Automated problem and solution generation software for computer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society for Engineering Education Annual Conference & Exposition. Washington, D.C.: Amer. Soc. Engrg. Educat., 2012, pp. Paper 4437.[3] B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank

Conference Session

First-Year Programs: Unique Projects & Pedagogies

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Tyler Milburn, Ohio State University; Cassondra Wallwey, Ohio State University; Michael Parke, Ohio State University

Tagged Divisions

First-Year Programs

and non-value added steps in a manufacturing process. 6. Identify metrics to measure, improve, and control in a manufacturing process. 7. Utilize principles of lean and Six Sigma to improve productivity and quality of a manufacturing process. 8. Differentiate between a push system and a pull system for a sequential manufacturing process. 9. Evaluate manufacturing models for strengths and weaknesses in terms of quality, productivity, and communication. 10. Compare manufacturing models in terms of effectiveness and profitability. 11. Write a cohesive group lab report based on different information and observations from each group member.Materials and ResourcesThe Q&P lab uses the Mr. Potato Head toy for

Conference Session

Technology Integration in the Classroom for Manufacturing I

Collection

2007 Annual Conference & Exposition

Authors

Yongjin Kwon, Drexel University; Shreepud Rauniar, Drexel University; Richard Chiou, Drexel University; Horacio Sosa, Drexel University

Tagged Divisions

Manufacturing

) q /1 yi ? yr - Â S y ,m © bm / bm/1 - S y ,q ÇÉbi / bq /1 Ú - g y m ?1where n = the number of columns, m = the number of rows, p and q = the number of grids fromthe origin where P (ai , bi ) is located, and g x & g y = imprecision involved in the scaling. In order tocapture the moving objects on a conveyor, a series of images is taken at a fixed rate of 75 framesper second and the time interval between each frame is calculated. The algorithms in the APIautomatically detect the center of moving object and translate that into robot coordinates. Thespeed of the object is defined as

Conference Session

Curriculum Development and Delivery Modes in Nuclear Engineering

Collection

2007 Annual Conference & Exposition

Authors

James Holloway, University of Michigan

Tagged Divisions

Nuclear and Radiological

two effects really compensate each other? Additionally, are we successfully accounting forthe path-length generated within the region due to particles born from a volumetric source? We now challenge the students with this problem: Imagine an arbitrary 3-D body Γ, and select a direction Ω ˆ and differential solid 2 ˆ angle d Ω around it. The flux ψ(r, Ω) is known, as is the volumetric source Q(r, Ω) ˆ throughout Γ (including external sources and inscatter sources). Select a differential tube through this body with cross sectional area dA (See Fig. 2) and compute the path-length generated within this tube during a time interval T by particles traveling

Conference Session

Mechanics Division Poster Session

Collection

2007 Annual Conference & Exposition

Authors

Ing-Chang Jong, University of Arkansas; Joseph Rencis, University of Arkansas

Tagged Divisions

Mechanics

upward displacement. Page 12.240.3 A positive slope is a counterclockwise angular displacement.III. Derivation of Model FormulasAny beam element of differential width dx at any position x may be perceived to have a left faceand a right face. Using singularity functions,8-10 we may write, for the beam ab in Fig. 1, theloading function q, shear force V, and bending moment M acting on the left face of the beamelement at any position x for this beam as follows: q ? Va > x @/1 - M a > x @/2 / P > x / xP @/1- K > x / xK @/2/ w0 > x / xw @0 w / w0

Conference Session

ChE: Computers and Simulation in the Classroom

Collection

2007 Annual Conference & Exposition

Authors

Jason Keith, Michigan Technological University; Faith Morrison, Michigan Technological University; Julia King, Michigan Technological University

Tagged Divisions

Chemical Engineering

, mR = inside capillary tube radius, mL = capillary tube length, mFor a laminar, incompressible, Newtonian fluid, the shear rate at the circular pipe wall,γ wall can be calculated from the microscopic balances4. The result is shown below.γ wall = (4Q)/(πR3) = (32Q)/(πD3) 8V/D= 4V/R (2)Where: Q= volumetric flow rate, m3/sV= average fluid velocity, m/sThe Hagan-Poiseuille equation can also be calculated from the microscopic solution forthis problem4, and may be used to calculate the viscosity of a laminar, Newtonian,incompressible fluid ∆PR 2V = (3) 8µLThe equations for Reynolds number and entrance length2, Le

Conference Session

Outreach to K-12 Females

Collection

2013 ASEE Annual Conference & Exposition

Authors

Muhittin Yilmaz, Texas A&M University-Kingsville (TAMUK); Nuri Yilmazer, Texas A&M University, Kingsville; Eusebio Cuellar Torres, Texas A&M University-Kingsville; Tamara Denise Guillen, Texas A&M University-Kingsville

Tagged Divisions

K-12 & Pre-College Engineering

. Furthermore, the notebook and postercompetition scores demonstrated superior subject comprehension by student teams. Table 4. The GEMS Camp STEM Outreach Effectiveness Engineering 17 Q: Because of my participation in GEMS, I would like Chemistry 6 to pursue a degree in: Mathematics 3 Strongly Agree 10 Agree 12 Q: My participation

Conference Session

ASEE Multimedia Session

Collection

2003 Annual Conference

Authors

Arne Weigold; M. P. Sharma; Edward Anderson; Roman Taraban

learning. An examination of Figures1 and 2 shows the detail and care with which individual pages were created. Therefore,this first version of the CD appeared to fulfill the goal of developing attractive formatswith many opportunities for students to interact with the course content. Table 1: Number of Screens by Type of Content and Chapter Non-Interactive Interactive (I) Quizzes (Q) Total (T) (I + Q) / TChapter 1 41 7 14 62 .34Chapter 2 27 8 19 54 .52Chapter 3 22 1 9 32 .31Chapter 4 47 1 11 59 .20Chapter 5 27

Conference Session

Entrepreneurship Teaming and Collaboration

Collection

2012 ASEE Annual Conference & Exposition

Authors

Chad Milewicz, University of Southern Indiana; Zane W. Mitchell Jr., University of Southern Indiana; Kerry S. Hall, University of Southern Indiana

Tagged Divisions

Entrepreneurship & Engineering Innovation

training sessions, the final presentations are made. In some cases it is necessary to havea semi-final presentation session where all teams record their presentations so that a group offinalists can be chosen. This can be a logistic necessity. If five teams present at the finals andeach team gives a 10-12 minute presentation with a 3-5 minute Q&A, then the program lasts forat least 75 minutes (5 teams X 15 minutes each). Now, add in a 15 minute introduction forleaders from the University and firm to talk and judges to be introduced. Then account for 5minutes between the presentations, at least 10 minutes for judges to select the winner(s), and 10minutes to thank the participants and award the prizes. In this format, even if nothing gets

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Brian J. Skromme, Arizona State University; Paul Rayes, Arizona State University; Bing Cheng; Brian McNamara; Aaron S. Gibson; Angela Barrus, Arizona State University; John M. Quick; Robert Kenneth Atkinson, Arizona State University; Yih-Fang Huang, University of Notre Dame; Daniel H. Robinson, Colorado State University

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

, and other tutoringsystems,” Educat. Psychologist 46, 197 (2011).2 C. D. Whitlatch, Q. Wang, and B. J. Skromme, “Automated problem and solution generation software forcomputer-aided instruction in elementary linear circuit analysis,” in Proceedings of the 2012 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2012),Session M356.3 B. J. Skromme, C. D. Whitlatch, Q. Wang, P. M. Rayes, A. Barrus, J. M. Quick, R. K. Atkinson, and T. Frank,“Teaching linear circuit analysis techniques with computers,” in Proceedings of the 2013 American Society forEngineering Education Annual Conference & Exposition (Amer. Soc. Engrg. Educat., Washington, D.C., 2013),paper 7940.4 B. J

Conference Session

Trends in Mechanical Engineering

Collection

2002 Annual Conference

Authors

Raghu Echempati; Arnaldo Mazzei

the drive train does not experience heavy shock loading, but does experience medium shock loading. - Km (Load distribution factor): Because the face-to-face distance is 2 inches, according to Table 11-16, the load distribution factor is 1.6. - Kv (Dynamic factor): This factor takes into account the vibrations and loads created by the gear teeth. Precision gears provide a smooth running gear train. Because the gearbox on the triple-action-press turns at a very low rpm, a gear quality (Q v) of 6 was chosen. By establishing this variable, the following calculations were made to find the Dynamic Factor

Collection

2001 Annual Conference

Authors

Per Reinhall; Michael Jenkins; Joyce Cooper; Angela Linse; Eric Stuve

. Page 6.174.9 Proceedings of the 2001 American Society for Engineering Edication Annual Conference & Exposition Copywright 2001, American Society for Engineering Education RV RV RH T T RH Fuel Cell Humidifier (2x) Q Q H O Q 2 Rotameter (2x) F H

Conference Session

ETD Design I

Collection

2012 ASEE Annual Conference & Exposition

Authors

Aurenice Menezes Oliveira, Michigan Technological University

Tagged Divisions

Engineering Technology

this time.transmission Exam 1- Qs: students will scored 70% or betterImpairments, such as 3,4,5,9,10 score 70% or on this questionAttenuation, delay distortion, Exam 2 – Qs: 2, 3 better on this blockand noise. Reading assig, question Iclicker quizzes block. Final Exam – Qs:6, 13, 17, 33, 374.Become familiar with Exam 1 – Q:6 70% of 76.6% of students Y None planned at this time.noise designation such a Exam 2 – Q:2,3 students will scored 70% or bettersignal-to-noise ratio (SNR) HW 3

Conference Session

Statics and Strength of Materials

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ing-Chang Jong, University of Arkansas

Tagged Divisions

Mechanics

upward linear displacement [e.g., ya and yb in Fig. 1(b)].■ Methodology and pedagogy of the method of model formulasThe four model formulas in Eqs. (1) through (4) were derived in great detail in the paper thatpropounded the MoMF.12 For convenience of readers, let us take a brief overview of how thesemodel formulas are obtained. Basically, it starts out with the loading function q,9 written in termsof singularity functions for the beam ab in Fig. 1; as follows: q = Va < x >− 1 + M a < x >− 2 − P < x − x P >− 1 + K < x − x K >− 2 − w0 < x − x w >0 w − w0 w − w0 − 1 < x − x w >1 + w1< x − u w > 0 + 1 < x − u w >1

Collection

1998 Annual Conference

Authors

Fred Weber; Daniel C. Yoder; Christopher D. Pionke; J. Roger Parsons

move. If we assume that there is no mass movement into or out of the object (or the control volume), we thus define theobject’s energy change as E = E chem + E elas + E motion, rot + E motion, trans + Etherm + Efield, grav + Efield, mag + ... = W + Q, whereW is work and Q is heat transfer. Positive work or heat transfer increase the object’s energy, while negative values decrease it.Now let’s look at a few of these terms in more detail. We start with work, which is related to the force which accelerates the object and how the object responds to that force.If we look at a force pulling a box across a floor (see diagram below), we see that the actual work done is dependent not only onthe force and the amount of movement, but

Conference Session

Educational Research and Methods Division (ERM) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Maimuna Begum Kali, Florida International University; Syed Ali Kamal, University at Buffalo, The State University of New York; Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York

Tagged Topics

Diversity

Tagged Divisions

Educational Research and Methods Division (ERM)

) and do not necessarily reflect the views of the National ScienceFoundation.References[1] A. K. Flatt, “A suffering generation: Six factors contributing to the mental health crisis inNorth American higher education.,” Coll. Q., vol. 16, no. 1, pp. 1–17, 2013, [Online]. Available:https://files.eric.ed.gov/fulltext/EJ1016492.pdf.[2] S. K. Lipson et al., “Trends in college student mental health and help-seeking byrace/ethnicity: Findings from the national healthy minds study, 2013–2021,” J. Affect. Disord.,vol. 306, pp. 138–147, 2022, doi: 10.1016/j.jad.2022.03.038.[3] G. Boyraz, R. Granda, C. N. Baker, L. L. Tidwell, and J. B. Waits, “Posttraumatic stress,effort regulation, and academic outcomes among college students: A longitudinal

Conference Session

Engineering Physics and Physics Division (EP2D) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jason Morphew, Purdue University; Amirreza Mehrabi, Purdue Engineering Education; Ben Van Dusen, Iowa State University of Science and Technology; Jayson Nissen

Tagged Divisions

Engineering Physics and Physics Division (EP2D)

estimate student proficiency, CDMsuse latent classes to classify students by their mastery of underlying skills [40,42,43]. Skills cutacross content areas and multiple skills may be needed to correctly solve an item. CDMs areclassification models that aim to classify a student’s skill mastery for predetermined skillsidentified by content experts (See Table 1 for definitions). The skills require to correctly answer aquestion are coded dichotomously within matrix called the Q-matrix, which is used by DCMs toestimate mastery. While there are many CDMs, the simplest is the Deterministic Inputs, Noisy"And" gate (DINA) model. DINA is a crucial cognitive diagnostic tool to effectively estimate skillmastery, such as proficiency in applying vectors in