. Minichiello and A. Iqbal, "Perceived Factors Contributing to the SubjectiveWellbeing of Undergraduate Engineering Students: An Exploratory Study," International Journal ofEnvironmental Research and Public Health, vol. 19, (23), 2022. DOI: 10.3390/ijerph192316284.[3] D. Kim and B. K. Jesiek, "Work-in-Progress: Emotion and Intuition in Engineering Students’ EthicalDecision Making and Implications for Engineering Ethics Education," 2019. DOI: 10.18260/1-2--33666.[4] N. N. Kellam et al, "Uncovering the role of emotion in engineering education within an integratedcurricular experience," in 2011 ASEE Annual Conference & Exposition, 2011.[5] L. F. Barrett, "The theory of constructed emotion: an active inference account of interoceptionand categorization
and hand-off of written reports. While there was no required coursetextbook, two texts were recommended as supplementary material, including Jeter et al. [26] forlearning objectives A and B and Tufte [27] for objective C (see Table 1).The overarching course learning objectives were mapped to specific communications skills(Table 1) that were introduced and reinforced with three steps. First, in the weekly workshops,students were introduced to a communications skill, e.g., creating a table, and specific guidelinesfor content and formatting associated with that skill (Figure 1). Then students critiqued aninstructor-provided example of technical communications according to these guidelines, first inclass as small group activity and then as part
solicitedfeedback from 13 students who had participated in similar exam review activities in the Winter2021 offering of the heat transfer course using the same survey. The survey results aresummarized below. Note that the Winter 2021 students completed the survey in the academicyear following the completion of the course, whereas, at the time of writing this paper, theWinter 2023 students have completed one survey after their first exam.Likert Scale Survey QuestionsSelect your level of agreement with the following statements:(1 - Strongly Disagree, 2 - Disagree, 3 - Neutral, 4 - Agree, 5 - Strongly Agree, DNR - Do NotRemember) A) Participation in the exam review activity improved my performance on the exam. B) The questions discussed and/or solved as
, projects), and instructors assigned to eachsection. Sections No. of Homework In-class activities Team Instructor students (HW) (ICA) Project Bloom’s 100 Modified Problems at five Not A Taxonomy- problems at Bloom’s Assigned based Learning five Bloom’s Taxonomy levels (BTL) Taxonomy levels Project-based 100 Textbook Problems at two Assigned B Learning problems at Bloom’s (PBL) two Bloom’s Taxonomy levels
section. Note that each of the bonuscategories had multiple questions. A greater percentage of students from each section receivedfull/partial credit on questions at the Understand level than the Evaluate level likely becauseEvaluate is a higher cognitive level. (A) (B)Figure 2: Student performance on Quiz 2. (A) Total quiz scores (with and without bonus), out of14 points. (B) The percentage of students who received partial or full credits on the quiz problemsat different cognitive levels. Error bars represent the standard deviations.The grades for students from the two class sections on questions from Chapter 2: Fluid Statics onMidterm 1 were compared using a Mann-Whitney
project #1, we will be writing separate functions for each number from zero to nine.This way when we want to display a number all we have to do in call the function for thatnumber. You will find good documentation on functions at:https://www.arduino.cc/en/Reference/FunctionDeclaration. G F Com A B A GND F B G 220 Com E C D H F A B E D C H G E D Com C H Figure 1: The
2022, three sections taught by two instructors were included in the study(Table 1). Both instructors have more than 8 years of experience in teaching Fluid Mechanicsand related mechanical engineering courses.Table 1. Description of the three student groups participating in the study: the number ofstudents, type of assignments/assessments, and instructors assigned to each group. Groups No. of Students Assignments Instructor Traditional (TRAD) 100 ● No in-class activities A ● Regular homework Active Learning 100 ● In-class activities B (AL
target 1 hour print time.The files were then printed using PLA filament. Examples of printed images are shown in Figure2 (c), (d) and (e).A page modeling the customer facing portion of zyBooks with a test for the file distribution wasbuilt on our platform. Sections in accordance with zyBooks' pedagogy were written supportingchosen test images, shown in Figures 1(a), (b) and (c). The .STL files of the test images werehosted on an internal file hosting system, and links embedded into the test page.(a)(b) (c)Figure 1:(a-c) Examples of zyBook pages with STL link embedded at the bottom(a)(b)(c) (d
. 2, pp. 177–189, 2003.[10] J. Sweller, J. J. G. van Merrienboer, and F. G. W. C. Paas, "Cognitive architecture and instructional design," Educational Psychology Review, vol. 10, pp. 251-296, 1998. Available: https://doi.org/10.1023/A:1022193728205[11] R. E. Mayer and R. Moreno, "Nine ways to reduce cognitive load in multimedia learning," Educational Psychologist, vol. 38, no. 1, pp. 43-52, 2003. Available: https://doi.org/10.1207/S15326985EP3801_6[12] P. Ayres and J. Sweller, "The split-attention principle in multimedia learning," in The Cambridge Handbook of Multimedia Learning, vol. 2, pp. 135-146, 2005.[13] B. Tversky, J. B. Morrison, and M. Betrancourt, "Animation: Can it facilitate?" International Journal of Human
in Engineering Education Symposium, Cape Town, South Africa, 2019, pp. 10-12.[7] L. Ballesteros-Sanchez, I. Ortiz-Marcos, and R. Rodriguez-Rivero, “Investigating the Gap Between Engineering Graduates and Practicing Project Managers,” Int J Eng Educ, vol. 37, no. 1, pp. 31-43, 2021.[8] B. W. Tuckman, “Developmental Sequence in Small-Groups,” Psychol Bull, vol. 63, no. 6, pp. 384-399, 1965.[9] P. Hunsaker, C. Pavett, and J. Hunsaker, “Increasing Student-Learning Team Effectiveness With Team Charters,” J. Educ. Bus., vol. 86, no. 3, pp. 127-139, 2011.[10] J. R. Aaron, W. C. McDowell, and A. O. Herdman, “The Effects of a Team Charter on Student Team Behaviors,” J. Educ. Bus., vol. 89, no. 2, pp. 90
rubric were also provided to the students. Throughout the project, the followingcourse learning outcomes were assessed. • Develop the governing equation for a mechanical system. • Derive the state space representation of a mechanical system. • Predict the response of a system using software. • Describe the effect of inertia, stiffness, damping elements on a mechanical system response. (a) (b) (c) (d)Fig. 2 Diagrams of sdof torsional systems with (a) top disk clamped and masses attached to the bottom disk (b) top disk clamped and no mass on the bottom disk (c) bottom disk clamped and masses attached
. (a) (b) Figure 2: Icons representing (a) Entrepreneurial Mindset (b) Technical SkillsetResults and Assessments:The projects were designed to be open-ended and poorly defined explicitly to encourage studentsto engage in mindset and skillset development. These projects lent themselves particularly todeveloping the skillsets of • Simplifying complicated, real-world systems into ideal mathematical model representations. • Justifying idealization and simplifying assumption choices. • Choosing appropriate dimensions, directions of motion, and relative coordinates for these systems. • Conducting appropriate analysis for the modeled systems. • Numerically modeling
). # Data Standard Grade # Students points Metric Average Difference Deviation 153 Pre-Quiz 8.413 -0.403 1.786 3.6-4 10 154 Actual Quiz 8.816 (A) 141 Post Quiz 7.755 -1.061 2.880 171 Pre-Quiz 7.233 -0.686 1.436 3.1-3.5 10 174 Actual Quiz 7.919 (B+) 162 Post Quiz 7.551 -0.368 2.724
History, Biological Sciences, Science Education, andBusiness Economics.Points-Based Grading SchemeIn 2020 and 2021, course grades were determined using a points-based grading scheme. Eachassignment was scored out of a certain number of points, and the course grade was calculatedbased on the given points and the weight of each group of assignments, as shown in Table 2.Letter grades were then calculated using the following cumulative percentages: A+ ≥ 96.5%, A≥ 93.5%, A- ≥ 90%, B+ ≥ 86.5%, B ≥ 83.5%, B- ≥ 80%, C+ ≥ 76.5%, C ≥ 73.5%, C- ≥ 70%,D+ ≥ 66.5%, D ≥ 63.5%, D- ≥ 60%, F < 60%.Assignments included weekly homework, homework quizzes, and concept quizzes, attendance inweekly discussion sessions, submission of study sheets that were allowed to
-ventilated area, such as outdoors.Next, the students learned to carefully mix the ingredients that make up the silicone mixture.Specifically, Portlife and Theolife served as the base materials for the silicone mixture. Therewere two parts to be used for fabrication. Part A component contained vinyl functional siliconesand the platinum catalyst, whereas Part B contained vinyl functional polymer, hydrogen-functional crosslinker, and cure inhibitor. The students began the process of creating the siliconemixture by adding the specified weight of Part B, followed by 1–2% of its weight in an anti-catalyst or retardant to moderate the reaction speed. This catalyst was used so that the siliconecuring process did not start until the degassing process was
student (Figure 1 (a)), as well as supply the modelsolution (Figure 1 (b)). Below the model solution is where the instructor develops variousassessments with corresponding comments to provide intermediate feedback should a studentfail an assessment (Figure 1(c)). (a) (b) (c) Figure 1: Instructor view of a MATLAB Grader Problem showing the problem statement (a), model solution (b), and assessments (c). The second part is the instructor view of the student-facing page which is where thestudents type out their code (Figure 2). On this page, the instructor can prescribe certain thingswhich the students cannot change. For instance, if the problem
integrated with thedesign interface as well such that all that is needed to switch between the two is to toggle.It will be important for students to learn the workflow of taking a part from CAD model tocompleted manufacturing setup before endeavoring into more nuanced DFM concerns related tomachining. Therefore, the first CAM exercise students should partake in is following along to anin-class exercise of creating a basic milling program. In this exercise, students will: a) Apply CAD skills to create a 3D model for a part-stock-vise setup b) Create a “machining setup” by defining cuttable areas and sequencing a series of simple machining operations to rough out and subsequently finish the part with a finer tool. c) Run a successful
. Heimann, "Understanding the Challenger disaster: Organizational structure and the design of reliable systems," American Political Science Review, vol. 87, no. 2, pp. 421-435, 1993.[22] J. C. Jung and E. Sharon, "The Volkswagen emissions scandal and its aftermath," Global Business and Organizational Excellence, vol. 38, no. 4, pp. 6-15, 5 2019.[23] S. M. Lord, B. Przestrzelki and E. Reddy, "Teaching social responsibility: Conflict minerals module for a circuits class," World Engineering Education Forum - Global Engineering Deans Council, Albuquerque, New Mexico, 2018.[24] J. Khubchandani, S. Sharma, J. H. Price, M. J. Wiblishauser, M. Sharma and F. J. Webb, "COVID- 19 Vaccination Hesitancy in the United States: A Rapid National
introduce the concept of batch size as it pertains to manufacturing. We can use thefollowing definitions: • Batch – A group of products that are manufactured simultaneously. • Transfer batch – A group of products that are transferred from one operation to another as a group. A transfer batch is a subset of a batch.As an example 1 of how batches work in manufacturing, consider Fig. 1. Assume that we havetwo products, X, and Y. Both products have to be processed in the same plant at the samestations, A, B, and C. The stations have the following capabilities: • Station A – Can process 1000 units of X per day and 2000 units of Y per day. • Station B – Can process 2000 units of X per day and 2000 units of Y per day
. Zhang, A. Gong, Y. Fan, J. Yan, X. Li, “Nuclear power plants with artificialintelligence in industry 4.0 era: top-level design and current applications – a systemic review.”IEEE Access, vol. 8, pp. 194315-194332, 2020.[2] A. Thakur, D. Sarkar, V. Bharti, and U. Kannan, “Development of in-core fuel managementtool for AHWR using artificial neural networks,” Annals of Nuclear Energy, vol. 150, p.107869,2021.[3] D. Price, M. Radaideh, and B. Kochunas, “Multiobjective optimization of nuclearmicroreactor reactivity control system operation with swarm and evolutionary algorithms.”Nuclear Engineering and Design, vol. 393, p. 111776, 2022.[4] D. Lee, P.H. Seong, and J. Kim, “Autonomous operation algorithm for safety systems ofnuclear power plants by
Paper ID #42530Designing and Evaluating Virtual Reality Applications for a Machine DesignCourseDr. Andrea Gregg, Penn State University Dr. Gregg’s career sits at the unique intersection of instructional design, faculty development, educational technology leadership, curriculum planning, and educational research and evaluation. She is an established higher education professional with over twenty years’ experience in online, distance education. As the manager of an instructional design (ID) team responsible for the design, development, and support of nearly 150 courses, she worked with a diverse portfolio including STEM
Course at a South African University: Snapshot on Sectional Drawing,” EURASIA Journal of Mathematics, Science and Technology Education, vol. 12, no. 4, Mar. 2016, doi: https://doi.org/10.12973/eurasia.2016.1220a.[5] R. K. Kaushal, S. N. Panda, and N. Kumar, “Proposing Effective Framework for Animation Based Learning Environment for Engineering Students,” Journal of Engineering Education Transformations, vol. 33, no. 3, p. 48, Jan. 2020, doi: https://doi.org/10.16920/jeet/2020/v33i3/144816.[6] M. B. McGrath and J. R. Brown, “Visual learning for science and engineering,” IEEE Computer Graphics and Applications, vol. 25, no. 5, pp. 56–63, Sep. 2005, doi: https://doi.org/10.1109/MCG.2005.117.[7] M
potential for upperclassmen and graduatestudents to benefit in these ways from acting as peer mentors should be included in plans to enactmentoring programs potentially even as a part of a graduate student program.Acknowledgments The authors are thankful for support from Texas A&M University-Kingsville and theNational Science Foundation. The material presented is based upon work supported by theNational Science Foundation under Grant No. 1928611. Any opinions, findings, and conclusions,and recommendations expressed in this material are those of the authors and do not necessarilyreflect the views of the National Science Foundation.References[1] Rodgers, K.A., “Retention of Underrepresented College Students in STEM,” In B. Bogue &E
; Exposition, 2019.[4] S. Chidthachack, M. A. Schulte, F. D. Ntow, J.-L. Lin, and T. J. Moore, “Engineering Students Learn ABET Professional Skills: A Comparative Study of Project-Based-Learning (PBL) versus Traditional Students,” presented at the 2013 ASEE North Midwest Section Conference, Fargo, North Dakota, Oct. 2013.[5] B. V. Koen, “Toward a strategy for teaching engineering design,” Journal of Engineering Education, vol. 83, no. 3, Art. no. 3, 1994.[6] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering Design Thinking, Teaching, and Learning,” Journal of Engineering Education, vol. 94, no. 1, Art. no. 1, Jan. 2005, doi: 10.1002/j.2168-9830.2005.tb00832.x.[7] P. M. Griffin, S. O. Griffin, and D. C
(formerly facultyoffices), and one in a main common area. (b) Portable Data Acquisition System (a) Main Experiment Station Figure 1: HEAD Acoustics Lab Facilities for Sound Pressure Measurement ExerciseAs there are three experiment setup areas in the HEAD acoustics Lab, each section of MECH-431is divided into three groups of students. The typical class size for MECH-431 is 18 students persection, so each experiment area has about six students. Most of the data acquisition equipmentand software required for MECH-431 in the HEAD acoustics Lab is already in place and ownedby KU. The only remaining equipment to be added was a desktop computer for each of the threeexperiment setups. The
Paper ID #42616Impact of Digital Twins in Engineering Education: Enhancing Learning Motivationand Accessibility - A Review Study with a Proposed New SolutionKalon Ma Bienz, California Polytechnic State University, San Luis ObispoDevon Bountry, California Polytechnic State University, San Luis ObispoChang Rui Liu, California Polytechnic State University, San Luis ObispoBehnam Ghalamchi ©American Society for Engineering Education, 2024Title Impact of Digital Twins in Engineering Education: Enhancing LearningMotivation and Accessibility - A Review Study with a Proposed New Solution Kalon Ma Bienz, Devon Bountry, Chang
in the course. The data from the HECI is then presented.The overall results for each instrument and its content areas are identified and discussed in lightof the course content and pedagogy. Comments from the Senior Survey are then presentedfollowed by a discussion of the results along with the limitations and implications of this study. Question 29: A flat sheet of aluminum foil and a thicker aluminum baking sheet are placed in an oven at 400°F for a long period of time. While holding these objects from the oven, which feels hotter to the touch? a. Both objects feel equally hot because they are at the same temperature b. The baking sheet feels hotter because it is hotter c
higher course grades in a material and energy balancestextbook [19]. In particular, A/B students tended to complete 95-100% of the reading, whileC/D/F students tended to complete 70-95%. However, the causal nature of this relationship hasyet to be explored. Also, data from more engineering textbooks, other than the three consideredin this paper, could be analyzed to produce a better understanding of student engagement for theengineering discipline.References[1] E. H. Hobson, “Getting students to read: Fourteen tips,” IDEA Paper #40 from ideaedu.org, 2004. [Online]. Available: http://www.ideaedu.org/Portals/0/Uploads/ Documents/IDEA Papers/IDEA Papers/Idea_Paper_40.pdf. [Accessed: Dec. 2016].[2] M. W. Liberatore, K. E. Chapman
.[5] S. Combéfis, “Automated Code Assessment for Education: Review, Classification and Perspectives on Techniques and Tools,” Software, vol. 1, pp. 3-30, Feb. 2022.[6] M. Messer, N. C. C. Brown, M. Kolling, and M. Shi, “Automated Grading and Feedback Tools for Programming Education: A Systematic Review,” ACM Trans. Comput. Educ., vol. 24, no. 1, Mar. 2024. [Online]. Available: https://doi.org/10.1145/3636515/.[7] R. Gao, H. E. Merzdorf, S. Anwar, M. C. Hipwell, and A. R. Srinivasa, “Automatic assessment of text-based responses in post-secondary education: A systematic review,” Computers and Education: Artificial Intelligence, vol. 6, pp. 100206, Jan. 2024.[8] H. Keuning, J. Jeuring, and B. Heeren, “A
would comprise each program goal. Starting in 2022, the curriculum committeewas finally able to move the project off the back burner and work with more focus and purposeto build out the student proficiencies, which are the fine-grained skills that make up studentlearning objectives. At present, the curriculum committee has developed and documented the program goals, studentlearning objectives, and student proficiencies (see Appendix A). These have been mapped to theABET required student learning outcomes (see Appendix B).The set of drafted program goals, student learning objectives, and corresponding studentproficiencies were shared with the larger faculty body in the department in November 2023. Thecommittee facilitated discussion with the