what made the journey worthwhile.One final section, “REVIEWING THE JOURNEY” is again focused on the writing process as a Page 12.486.9journey for the author. It discusses the importance of the revision and self-assessment processesand how the writing center can help. A discussion on the grading philosophy of the engineeringdepartment – a generic policy on what constitutes an A, B, C and F paper is under development.Using the HandbookThe following discussion shows some examples that have been included within the EngineeringWriting Handbook and how they have been used within a classroom setting.The sample language charts (Appendices I and II
– Program OutcomesABET Criterion 2, Program Outcomes, consists of eleven units of knowledge or skill thatstudents are expected to acquire during their time in the program. As these appear in the criteriadocument2 in an alphabetized list, they have come to be known colloquially as a through k. Tosatisfy the criterion, a baccalaureate engineering technology program must demonstrate thatgraduates have: a. an appropriate mastery of the knowledge, techniques, skills and modern tools of their disciplines, b. an ability to apply current knowledge and adapt to emerging applications of mathematics, science, engineering and technology, c. an ability to conduct, analyze and interpret experiments and apply experimental results to improve
did not respond to the postassignment.The pre and post Focus Group Interviews (Appendix B) were similar with the only differencebeing appropriate to whether the course was in progress or had been completed. After a warm upquestion, the discussion dealt with questions such as the organization of the course, working inteams, what they felt they had learned, and other parts of the experience. Four males and twofemales were in the first group and four males and one female were in the second. A summaryof the final course evaluations can be found in Appendix C.Results of AssessmentIn analyzing the pre-version of the Power Point assignment, more than 160 responses weregenerated for the first question. This is an approximation since several thoughts
1 1 1 0 j1 5_3/4 5.75 5_3/4 5.75 5_3/4 5.75 0 j2 4_1/4 4.25 4_1/4 4.25 4_1/4 4.25 0 k 0_1/4 0.25 0_1/4 0.25 0_1/4 0.25 0 A B C l 1_15/16 1.9375 1_15/16 1.9375 1_15/16 1.9375 0 m 2_7/16 2.4375 2_7/16 2.4375 2_7/16 2.4375 0 n 0_5/8 0.625 0_5/8 0.625 0_5/8 0.625 0 o 0_5/8 0.625 0_5/8 0.625 0_5/8
Ethics 13: 463-487.17. Seely, B. (2005). “Patterns in the history of engineering education reform: A brief essay.” In Educating the Engineer of 2020 (pp. 114–30). Washington, DC: National Academy of Engineering.18. Borrego, M. and Bernhard, J. (2011). “The Emergence of Engineering Education Research as an Internationally Connected Field of Inquiry,” Journal of Engineering Education 100: 14-4719. Jesiek, B., Newswander, L. and Borrego, M. (2009). “Engineering Education Research: Discipline, Community, or Field?,” Journal of Engineering Education 97: 39-52. Page 24.807.1320. Downey, G. (2009). “What is Engineering Studies For?: Dominant
Fall 2002 Disagree Strongly Disagree (a) Freshmen help academically rewarding. (b) Freshmen provided assistance/ideas. (c) Freshmen actively participated in Design (d) Freshmen were positively influenced (e) No difficulty describing proj to Freshmen (f) I gained appreciation for management (g) Freshmen interaction well organized(h) Freshmen positively influenced my grade(i) Freshmen interaction should be continued 0 5 10 15 20 25 Number of
Fall 2002 Disagree Strongly Disagree (a) Freshmen help academically rewarding. (b) Freshmen provided assistance/ideas. (c) Freshmen actively participated in Design (d) Freshmen were positively influenced (e) No difficulty describing proj to Freshmen (f) I gained appreciation for management (g) Freshmen interaction well organized(h) Freshmen positively influenced my grade(i) Freshmen interaction should be continued 0 5 10 15 20 25 Number of
Session 2238 A Comparison of Solid Modeling Curriculum Approaches Holly K. Ault, Ph.D. Mechanical Engineering Department Worcester Polytechnic Institute Worcester, Massachusetts 01609-2280AbstractMany schools have recently introduced solid modeling to their curricula in Engineering DesignGraphics. Some courses introduce solid modeling at the end of a traditional 2D CAD course,whereas others begin with the solid model. Some, but not all, of the concepts traditionally taughtin conventional drafting or CAD courses are necessary
. Computer and design shop support 9. Software support, for example the purchase of: a. Designsafe 2.0 b. Inventor 5.0 c. Total Quality Software d. MATLAB 6.1 e. Microsoft Office with Project and Visio and FrontPage f. National Instruments Software suite, including LabVIEW g. iGrafx Process 2003 (Corel Corp.) h. Concept Mapping Software (Institute for Human and Machine Cognition, Univ. of West Florida) i. Innovation Workbench with E-learning and TRIZ basics (Ideation International, Detroit MI.) j. Thomas Regional Industrial Buyers Guide Other curricula maintain
inindustry hiring, where companies often include a short logic or programming problem as part ofthe interview process. The goal in all cases to gage how the individual works through a problemand to provide an indicator of their technical ability.Practica are given in class at the conclusion of each major topic (C with no pointers, C withpointers, Ruby, etc.). Appendix B contains a sample practicum description. We focus on shortprogramming problems that a competent engineer can complete within an hour. The problemsreflect the in-class activities and project assignment, and are submitted in stages to rewardincremental development and submission. Practica are open book, open notes, open internet – inessence, open everything except mouths. Practica turn
(similar algorithms can be found in [3]).Each course is being given a requirement cost. The requirement cost of a course is being definedas the longest possible chain of prerequisites that contains the respective course. For example, ifcourse D has as prerequisite course C, and course C has as prerequisite course B, and course Bhas as prerequisite course A, this would make a chain of prerequisites of requirement-cost 3 forcourse A. The longest chain that can be found for course A will be its associated requirement-cost. To reflect a worst case scenario, for this cost, the corequisites are being treated asprerequisites.Based on the requirement cost, the algorithm will try to schedule the courses with the highestcost first, thus minimizing the
, Monograph Number 3, Kansas State University, Manhattan, KS.3. Arons, A. B. (1990). A Guide to Introductory Physics Teaching. New York: John Wiley & Sons.4. Halloun, I. A. & Hestenes, D. (1985). The initial knowledge state of college students. American Journal of Physics, 53(11), 1043 - 1055.5. McCloskey, M., Caramazza, A., & Green, B. (1980). Curvilinear motion in the absence of external forces: Naïve beliefs about the motion of objects. Science, 210, 1139 - 1141.6. McDermott, L. C. (1984). Research on conceptual understanding in mechanics. Physics Today, 37, 24 - 32.7. McDermott, L. C. (1991). A view from physics. In M. Gardner, J. Greeno, F. Reif, A. H. Schoenfeld, A. diSessa, and E. Stage (Eds.), Toward a Scientific Practice
for converting the points to letter-grade was A>360>B>320>C>280>D>240>F. I didface a unique situation while grading them–-being honors college students they performed sowell that the grade distribution, rather than being normal, was heavily skewed toward the highend..Concluding remarksThe instruction of manufacturing to honors college students-- mostly liberal-arts major--as aseminar has been a unique experience. The discussions in this article illustrate how theeducation of manufacturing can be broadened to unconventional students. It seems thatmanufacturing can be a popular college course. I intend to offer again the course discussed inthis article.Bibliography1. The Challenge of Manufacturing--Race Against Time and
ASEE Annual Conference, AC2011-22529. A. Orange, W. Heinecke, E. Berger, C. Krousgrill, B. Mikic, and D. Quinn, An Evaluation of HigherEd 2.0 Technologies in Undergraduate Mechanical Engineering Courses, ASEE Advances in Engineering Education, Winter 201210. J. Herold, T. Stahovich, H. Lin, and R. C. Calfee, The Effectiveness of “Pencasts” as an Instructional Medium, Proceeding of the 2011 ASEE Annual Conference, AC2011-2253 Page 23.1115.5
, 398, 6727: 451.[2] Schneier, B. (1999) “Biometrics: use and abuse”. Communications of the ACM, 42: 136[3] Grijpink, J. (2004). “Two barriers to realizing the benefits of biometrics: a chain perspectiveon biometrics and identity fraud as biometrics' real challenge”, Proc. SPIE, 5310: 90-102.[4] Bronstein, M. & Bronstrein, A. (2002). “Biometrics was no match for hair-raising tricks”,Nature, 420, 6917: 739.[5] Buhan, I. & Hartel, P. (2005). “The State of the Art in Abuse of Biometrics”.Available at: http://www.coelle.org/papers/TheUseandAbuse.pdf[6] Jain, A., Nandakumar, K., and Nagar, A. (2008). Biometric Template Security. Journal onAdvances in Signal Processing, Special Issue on Advanced Signal Processing and PatternRecognition
, B. and Ramage, J. 2003. Energy Systems and Sustainability. Oxford, UK, Oxford University Press. 5. Haldar, A and Mahadevan, S. 2000. “Probability, Reliability and statistical Methods in Engineering Design”, John Wiley and sons, New York. 6. Kuebler R. and Smith, 1976. “Statistics”, John Wiley and sons, Inc. New York.Table 1. Grading Formulas Control group Pretest group (Percent) (Percent)1. Assignments 20 202. Attendance and class participation 10 103. Mid-term examination 30 04.Final Examination 40
, 398, 6727: 451.[2] Schneier, B. (1999) “Biometrics: use and abuse”. Communications of the ACM, 42: 136[3] Grijpink, J. (2004). “Two barriers to realizing the benefits of biometrics: a chain perspectiveon biometrics and identity fraud as biometrics' real challenge”, Proc. SPIE, 5310: 90-102.[4] Bronstein, M. & Bronstrein, A. (2002). “Biometrics was no match for hair-raising tricks”,Nature, 420, 6917: 739.[5] Buhan, I. & Hartel, P. (2005). “The State of the Art in Abuse of Biometrics”.Available at: http://www.coelle.org/papers/TheUseandAbuse.pdf[6] Jain, A., Nandakumar, K., and Nagar, A. (2008). Biometric Template Security. Journal onAdvances in Signal Processing, Special Issue on Advanced Signal Processing and PatternRecognition
A Generalizable Neural Network for Predicting Student Retention Cameron Ian Cooper, Ph.D. – Fort Lewis College Session: Tools, techniques, and best practices of engineering education for the digital generationAbstractThis research revisits a neural network-based decision support system presented at the ASEE 2009Northeast Section Conference at the University of Bridgeport. The decision support system identifiedstudents who are “at-risk” of not retaining to their second year of collegiate study. At that time, thepositive preliminary results presented were based upon a small out-of-sample dataset. This researchupdates the results using the full 2008 freshman cohort at Fort Lewis College (N = 800). Overall
, REFERENCESoften AI select the random older articles with lower impactfactor. During the chat, it must be mentioned which type of [1] Open AI, ChatGPT (ChatGPT-4o mini), 2025.articles should be reviewed through comprehensive breakdown [2] B. Khosh and H. Atapour, “Assessment of mechanical behavior ofwith duration of publication, title of relevant journals, or sprayed concrete reinforced with waste tire textile fibers”. Scientificauthor’s name. Additionally, it must be mentioned which sort of Reports, vol. 14, no. 1 (8873), 2024.information should be reviewed and how that information [3] A. M. Enad, A. I. Al-Hadithi, Y. A. Mansoor, “Flow ability andshould be summarized to get an
Paper ID #33450Cohort-Based Supplemental Instruction Sessions as a Holistic RetentionApproach in a First-Year Engineering CourseMiss Nisha Abraham, University of Texas at Austin Nisha coordinates the Supplemental Instruction program. She received her B.S. in cell and molecular biology from The University of Texas at Austin in 2007, her M.S. in biology from Texas A&M University in 2012 and her M.A. in STEM Education from The University of Texas at Austin in 2019. Additionally, she has over five years of combined industry and science research experience, has worked as a senior bioscience associate at UT’s Austin Technology
Paper ID #22268The ’Structured’ Engineering Design Notebook: A New Tool for Design Think-ing within a Studio Design CourseMs. Kristen Clapper Bergsman, University of Washington Kristen Clapper Bergsman is the Engineering Education Research Manager at the Center for Sensorimo- tor Neural Engineering at the University of Washington, where she is also a doctoral student and graduate research assistant in Learning Sciences and Human Development. Previously, Kristen worked as an ed- ucational consultant offering support in curriculum design and publication. She received her M.Ed. in Curriculum and Instruction (Science Education
efforts andtheir contributions in guiding two of the group projects. We also thank Dr. Mohammed Qazi, forhis valuable effort in coordinating the MAKERS program across the partner institutions.References[1] B. S. Bloom, M. D. Engelhart, E. J. Furst, W. H. Hill and D. R. Krathwohl, “Taxonomy ofeducational objectives: The classification of educational goals. Handbook I: Cognitive domain.New York: David McKay Company, 1956.[2] W. Zhan, J. Wang, M. Vanajakumari and M. Johnson, “Creating a high impact learningenvironment for engineering technology students,” Advances in Engineering Education, Spring2018, pp. 1-23.[3] J. Marshal, A. Bhasin, S. Boyles, B. David, R. James and A. Patrick, “A project-basedcornerstone course in civil engineering: student
% Completion Time (Hrs) 0 10 20 30 40 50Figure 4. Relationship between completion time and deviation from aluminum prototype results.The tabulated results for stress at location A (representative of other results) for the various loadsare shown in Table 1. As seen in Figure 4 (and as would be expected), the simple stresscalculations required the least time to complete. The results in the various locations were allwithin 20% of the reference point (the aluminum prototype). Only one of the data points(location B) predicted what would be considered a type II error (lower stress than the baseline).The FEA analyses required almost 50% more time to complete than the simple
The University of New Mexico – Albuquerque Copyright © 2008, American Society for Engineering Education Courses/Topics ABET Criterion 3 ABET Program CriterionDEPT Courses a b c d e f g h i j k PC.1 PC.2 PC.3 PC.4 PC.5201 X X X X X301 X X X X X X302 X X X X X X X303 X X X X X X X X XRequired Topics a b c d e f g h i j k PC.1 PC.2
rather than the main body frame.Again, this was seen as a negative factor in the drone design. The upper part of the main bodyframe also appeared to be difficult to manufacture. Figure 3. FHJ Aviation Students’ Design by Figure 4. FHJ Aviation Students’ Design by Team B Team C Proceedings of the 2020 ASEE Gulf-Southwest Annual Conference University of New Mexico, Albuquerque Copyright ã 2020, American Society for Engineering Education 4 Project Completion at West Texas A&M UniversityAfter selecting the most appropriate design
outcomes between students from different colleges.References[1] D. Chatterjee, and J. Corral, How to Write Well-Defined Learning Objectives. The Journal ofEducation in Perioperative Medicine. Dec 2017. Volume 19, issue 4. (Online):https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944406/[2] B. S. Bloom, M. D. Engelhart, E. J. Furst, E. J. Hill, and D. R. Krathwohl, Taxonomy ofeducational objectives: The classification of educational goals. 1956 New York, NY: Longmans,Green, and Co.[3] L. W. Anderson, and D. R. Krathwohl, et al, A Taxonomy for Learning, Teaching, andAssessing: A Revision of Bloom's Taxonomy of Educational Objectives. 2001 Allyn & Bacon.[4] Z. Taurina, Students’ Motivation and Learning Outcomes: Significant Factors in
Paper ID #38071Designing a new course using Backward designJaby Mohammed (Assistant Professor) Jaby Mohammed is an Assistant Professor of Technology at Illinois State University, where he teaches Data Analytics, Six Sigma, and Parametric modeling. After working with Khalifa University, Purdue University, and Morehead State University, Dr. Mohammed joined the technology department at Illinois State University. He worked as engineering faculty with Kentucky Governors Scholars Program from 2006-to 2012. Dr. Mohammed is a senior member of the Society of Manufacturing Engineers (SME) and the Institute of Industrial
repeated at the end of the semester. Students who opt into the study will also have theirteam adjustment grades analyzed at the end of the semester to see if there is any correlationbetween a student’s belief about teams and how they perform on a team, as well as to see theirinsights-based teamwork before and after the class project. A copy of the survey can be seen inAppendix B. In future semesters the author plans to have the boardgame utilized in somesections of EDSGN 100, while only using a standard lesson on teaming in others. This will allowa comparison on the effectiveness of the boardgame in terms of how they write their teamcontract, and how they feel they performed as a team.DiscussionTeamwork is an essential component of engineering due
semester. Somestudents also secured A+ grade, as compared to no A+ grades in the previous semester. In thecurrent semester, there were no F or C grades, only 10% secured D grade. In the previoussemester, B grade was the most common, some C, D and F grades were also assigned. Overall,there was better student performance in the semester. Fig. 2 Student grades for the course (ECE425) with and without online delivery.This led to better instructor evaluation as compared to the previous semester.9. Improvements made in future semesters based on lessons learntEven though teaching during Spring 2020 semester was successful as far as better student andinstructor performance was concerned, several different platforms like zoom, course
section.2. CyberSec LabsIn the learning system, a GUI application was designed to help learners navigate the system [5].In total, eight CyberSec labs were designed: Web defacement lab, Remote secure login lab, FTPserver DoS lab, Patch management lab, Backdoor lab, SQL injection (SQLi) lab, Honeypot lab,and Secure plain text traffic labs. Each lab included two sub-labs (attack and defense) andobjectives were included in each of the labs. Figure 1a displays the GUI application and Figure1b shows the two sub-lab buttons after clicking the Secure remote login lab. Table 1 shows theCyberSec labs and their corresponding objectives.(a) (b) Figure 1. (a) CLaaS GUI application (b) Sub-labs of