Paper ID #11205Improving Undergrad Presentation SkillsDr. Gene Dixon, East Carolina University Gene Dixon is a tenured Associate Professor at East Carolina where he teaches aspiring engineers at the undergraduate level. Previously he has held positions with Union Carbide, Chicago Bridge & Iron, E.I. DuPont & deNemours, Westinghouse Electric, CBS, Viacom and Washington Group. His work expe- rience includes project engineer, program assessor, senior shift manager, TQM coach, and production reactor outage planner, remediation engineer. He gives presentations as a corporate trainer, a teacher, and a motivational
. Indeed, one finds that many attempts to assess theABET Criterion 3 outcomes have involved development and use of indirect measures, e.g.,survey instruments and questions that ask students to self-assess their own capabilities for eachtarget attribute.12 Many assumptions undergird this entire process, including that: a) groups ofpracticing professionals and educators can accurately identify, through reflection and discussion,the specific knowledge, skills, attitudes, abilities, etc. that a practicing professional shouldpossess, b) the process of bringing these attributes into courses and curricula is relativelystraightforward, and c) students can reliably and accurately gauge and report on their owncapabilities, such as by filling out Likert
- Focused , Interdisciplinary Teams. Academy of Management Learning and Education, 8(3), 407–417.Carneiro, G., Lago, R., & Paulo, S. (2011). i | o Cards : A Tool to Support Collaborative Design of Interactive Objects. In DESIRE (pp. 357–358).Carryer, B. (n.d.). Teaching Entrepreneurship in Engineering. Epicenter. Retrieved April 9, 2013, from http://epicenter.stanford.edu/story/babs-carryer-carnegie-mellon-universityCheville, A., & Bunting, C. (2011). Advances in Engineering Education Engineering Students for the 21 st Century : Student Development Through the Curriculum, 1–37.Cobb, C. L., Agogino, A. M., Beckman, S. L., & Speer, L. (2008). Enabling and Characterizing Twenty-First Century Skills in New Product
homework,provision of feedback, and allows students opportunities for resubmission of work. A similarstrategy was employed for exams by Sangelkar et al. [6], who showed students were more likelyto address feedback using their approach.3. MethodologyIn this study, mastery grading for homework was implemented by two instructors in sophomore-level engineering courses. One instructor had familiarity with the technique (Instructor A), whilethe other was a novice (Instructor B). Instructor A implemented mastery grading in a Dynamicscourse, and used traditional grading in Thermodynamics and Strength of Materials. Instructor Bimplemented mastery grading in Thermodynamics at a different campus. The same homeworkassignments were used in both thermodynamics
names of common LCA software 10. Explain the following terminology to an intelligent high school student: a. Primary data b. Secondary data c. Elementary flows d. Allocation Page 26.427.4 e. Cut-off data f. Consequential LCA (prospective, change oriented) g. Attributional LCA (retrospective, accounting style, descriptive) h. Gate to gate, cradle to gate, cradle to grave i. TechnosphereQuantitative learning objectives: 1. Given the inputs and outputs for multiple processes, a. Draw a flow chart representing the system b
decided upon by eachsection – they determined a class average GPA that they would all work to achieve. The idea wasto help develop accountability within each class. The first section’s goal was 3.14 and the secondsection’s goal was 3.33. Although they did not meet these goals, the overall ENGR 204 GPAwas a C+/B-.Reverse engineering projectThe first major engineering project consisted of reverse engineering an item of the class’ choice.The first section chose a mini Nerf gun and the second class chose a RC car. Students worked inteams of two or three to evaluate how the item worked, disassemble the item to further exploreeach working part, and then try to reassemble the item. One team with the Nerf gun was able toreassemble a working gun that shot
., Daniel Hirleman, E., & Groll, E. A. (2011). Internationalresearch and education in engineering (IREE) 2010 China: Developing globally competent engineeringresearchers. In American Society for Engineering Education.[13] Dwyer, M. M. (2004). More is better: The impact of study abroad program duration. Frontiers: TheInterdisciplinary Journal of Study Abroad, 10, 151-163.[14] Allert, B., & Atkinson, D. (2005). Work in progress-identifying learning outcomes of a multi-semesterinternational program in mechanical engineering. In Frontiers in Education, 2005. FIE'05. Proceedings 35thAnnual Conference (pp. S1D-15). IEEE.[15] Archives from Shanghai Jiao Tong University website (2015). Retrieved fromhttp://speit.sjtu.edu.cn/indexen!list.html?topNav
millingtools have been considered ranging from inexpensive AC rotary tools to more expensive DCspindles. Off-the-shelf rotary tools are easily integrated in these desktop CNCs by simply fabri-cating an appropriate mount and instrumenting the spindle with an appropriate collet. Of thetools used thus far, the DC spindles offer accurate, quiet, controllable operation while AC toolstend to emit greater noise and can range in their degree of accuracy. However, in the context ofprototyping in the undergraduate curriculum, both AC and DC rotary tools have proven to be ac-ceptable solutions.Figure 1: (a) A Shapeoko II with the University of Massachusetts Lowell modifications shown. (b) A Zentoolworks7” x 12” CNC machine.Nowadays, a wide range of CNC
Design Credit Hours 3 3 3 3 3 Instructor Professor A Professor A Professor A Professor A Professor B Lab Integrated Into No a No a No a Yes Yes Course? Required/Elective Required Required Required Required b Elective b Typical Student 2nd Semester 2nd Semester 2nd Semester 2nd Semester 1st Semester Rank JR JR JR JR SR Class Meetings 3 x 50 3 x 50 3 x 50 2 x 75 2 x 75 (per week) c minutes minutes minutes minutes minutes Format
Comparative Analysis of Issues, Perceptions, and Collaboration Opportunities, J. Prof. Issues Eng. Educ. Pract. 140(2) (2014), 04013014.[2] M.S. Ball, Aging in place: a toolkit for local governments, Atlanta Regional Commission, Atlanta, 2004. Page 26.461.12[3] W. Wu, E. Handziuk, use of building information modeling in aging-in-place projects: a proof of concept, in: I. Brilakis, S. Lee, B. Becerik-Gerber (Eds), Computing in Civil Engineering, ASCE, Reston, VA, 2013, pp. 443- 450.[4] S. Kumar, M. Hedrick, C. Wiacek, J.I. Messner, Developing an experienced-based design review application for healthcare facilities
; Nora, A. (2012). Overview of Hispanics in science, mathematics, engineering and technology (STEM): K-16 representation, preparation and participation. Retrieved from http://www.hacu.net/images/hacu/OPAI/H3ERC/2012_papers/Crisp%20nora%20- %20hispanics%20in%20stem%20-%20updated%202012.pdf.11. Reardon, S. F., & Galindo, C. (2009). The Hispanic-White achievement gap in math and reading in the elementary grades. American Education Research Journal, 46(3), 853-891.12. Moskal, B. & Skokan, C. (2011). “Supporting the K-12 classroom through university outreach,” Journal of Higher Education Outreach and Engagement, 15 (1), 53-75. Available at: http://openjournals.libs.uga.edu/index.php/jheoe/issue/view/52.13. Moskal, B
.” Page 26.552.3 Figure 1. Percentage of complex sentences in student and practitioner reports and technical memorandaWe then display examples of student and practitioner writing to illustrate typical sentences by thetwo groups: Student Writing: Complicated Sentence Structure A. This particular modeling detail does not seem to greatly affect the output of the simulation because although it appears unrealistic, it does not affect the flow of traffic greatly and only seems to occur on occasion. [Traffic analysis paper] B. The Portland Streetcar route through and platform in the recently completed Portland State University Urban Plaza has been an unmitigated
, repetition and tangential connections may be necessary in a longer class. This pre-class environment was varied across both lectures and instructors; Table 2 shows thedistribution of study activities across the various lectures and sections.Table 2: Distribution of experimental conditions across 3 lectures with 4 sections each. Key:T: verbal (talking) interaction with faculty; M: topical music and no verbal interaction; N: Nofaculty-student interaction or music. Class/Survey Instructor Instructor Instructor Instructor A (Sec. 1) A (Sec. 2) B (Sec. 3) B (Sec. 4) Lecture 1 M N T N Lecture 2 N M
Frameworkidentified and described the range of leadership behaviors exhibited within teams.Thematic coding of the ECT transcripts produced 11 categories of leadership behaviors: IdealBehavior, Individual Consideration, Project Management, Technical Competence,Communication, Collaboration, Motivating Others, Training & Mentoring, Delegation, Problem-Solving, and Boundary-Spanning (Table A). To assess the relative importance of these concepts,team members mentioning behaviors in each category were counted (Table B).Table A. Definitions of behavioral categories. Behavioral Category DefinitionIdeal Behavior Behaving as a role model for team members.Individual Consideration Recognizing that each team
articulation also makes a difference. Interdentals (θ, ð) are made by putting thetongue between the front teeth; bilabial sounds (p, b, and m) are made by bringing both lipscloser together; and labiodental consonants (f, v) are made with the lower lip against the upperfront teeth. 8 To improve the quality of pronunciation, learners should notice the position changesof jaw, lip, teeth, and part of the tongue.Computer-Assisted Pronunciation TrainingFraser stated that a good way for educators to teach English pronunciation is by “having asuitable curriculum, being student-centered, helping learners become self-reliant, givingopportunities to practice, and knowing what’s best.” 9 Of these five principles, being student-centered and giving opportunities to
Education from Syracuse University, New York. Professor Dominguez is a member of the Researchers’ National System in Mexico (SNI) and currently she is the President of Red de Investigaci´on e Innovaci´on en Educaci´on del Noreste de M´exico (REDIIEN). Angeles has been a visiting researcher at Syracuse Uni- versity, at the University of Texas at Austin. She teaches undergraduate courses in Mathematics and grad- uate courses in Education. Professor Dominguez is a thesis advisor on the master and doctoral programs on education at the Tecnologico de Monterrey. Her main research areas are: a) models and modeling, b) use of technology to improve learning and c) evaluation. In addition, Professor Dominguez is the coordi- nator
in such a manner as to uphold and enhance the honor, integrity, and dignity of the profession.Personal Obligations & 7. Engineers shall continue their professional development throughoutInteraction with Others their careers and shall provide opportunities for the professional development of those engineers under their supervision. 5 © American Society for Engineering Education, 2015 2015 ASEE Zone III Conference (Gulf Southwest – Midwest – North Midwest Sections)B. Case
result, ** represents a statistical significance less than 0.01 but greater than or equal to 0.001, and *** represents a statistical significance less than 0.001. b. Effect size calculated using Cohen’s w. Effect sizes are indicated as small 0.10, medium 0.30, and large 0.50.A practical example of this can also be seen in traditionally taught thermodynamics classes in thediscussion of an Otto cycle. This cycle is typically taught in most text books by describing a 4-cycle engine38 often without detailed discussion about how an ignition piston system works. Thisexample scaffolds tinkering experiences that vastly more male engineering students (65.5%)have than female engineering students (38.6%). Creating ways to incorporate all
answers toParts (a) and (c) of the question described in Figure 2 when they begin trying to explain theirrespective answers in Parts (b) and (d). This self-critique of the student’s conceptions (andmisconceptions) would seem to represent learning at the highest levels of Bloom’s Taxonomy13.3. MethodsConcept Quizzes were incorporated into two courses: an introductory material and energybalances course (CHE 205) and a transport phenomena course focusing on fluid mechanics andheat transfer (CHE 311). Concept Quizzes were given to students as a typical typed questionsheet and lasted 10 minutes of class time. When giving a Concept Quiz to students, the instructoralso projected the quiz content onto a screen in the classroom, read the questions to the
far was a B- (C- on the law schoolcurve). The highest grade so far was an A (a B+ on the law school curve). Table 1 shows thedistribution of all grades for the 10 students who have completed the course to date (the 11thstudent is currently taking the course). Note that ‘Law’ refers to the grade earned relative toother law students; ‘Eng’ refers to the grade given using the engineering curve. The range ofgrades earned by the law students is typically A to C-. The law school also requires that classeswith more than 10 students have a B median. The intellectual property class taken by theengineering students always falls into this category. A A- B+ B B- C+ C C- Law 0
. Its evolution since the early 1990s to the present status shows severalimprovements along the way. However, reviewing the engineering education research literaturehas provided an impetus to move forward with other improvements identified in this paper.Bibliography[1] E. A. Stephan, D. R. Bowman, W. J. Park, B. L. Sill, and M. W. Ohland,”Thinking like an engineer: An active learning approach”, Design and Teamwork, Chapter 3, Pearson Publishers, 2013, 2011, pp. 53-73.[2] L. D. McNair, C. Newswander, D. Boden, and M. Borrego, “Student and faculty interdisciplinary identities in self-managed teams”, Journal of Engineering Education, April 2011,100(2), pp. 374-396.[3] M. Borrego and L. K. Newswander, Characteristics of successful cross
team diversity on each of theteam dynamic characteristics studied here. Team dynamics characteristics of team of U.S.students and mostly U.S. students are very similar. As team composition changes to includemore non-U.S. students, teams exhibit lower levels of cohesiveness, higher levels of conflict, andlower levels of team satisfaction (p-value < 0.05 for teams with equal or mostly non-U.S.students compared to teams with only U.S. students). Interdependence is the only team dynamicscharacteristic that seems to be unaffected by diversity of students in teams. (a) (b) Figure 1. Team dynamics characteristics by team diversity. (a) Team level-outcomes. (b)Types of conflict. Data: Mean
class was Autodesk’sInventor. The main purpose of integrating this activity into this course was to engage students inproject-based learning (PBL) through hands-on activities related to modeling of anelectromechanical (mechatronic) device. Every assignment in this course was a part of the finalproject, as the majority of parts students were modeling are integrated in the final assembly. (a) (b) Figure 1: TAMIYA® Robot Kit - Mechanical Tiger: a) assembled and b) parts in the kit7 This robotic kit series includes a transparent plastic body and a transparent plasticgearbox, which enables visual access to the gearbox and its related mechanical functioning.Tools are supplied within
ABET (d) outcome, an on-linerubric-style assessment (Appendix A) is being used. It was developed from templates created byReid and Cooney18,19 and evaluated in a previous interdisciplinary project for an outside clientinvolving industrial engineering and mechanical engineering content.20 It has not yet beenapplied to the program currently being evaluated since it is meant to gauge the cumulativeproject team experience at the end of the term. In addition, an instructor-completed rubric(Appendix B) was created to address all three ABET (d) outcomes. It was applied to midtermoral presentations in which student teams elucidated their design and down-selection processesfor project clients and course instructors. The results are given in Figure 3
and science concepts for solving real-world industrial engineeringproblems.Relevant Education in Math and Science (REMS) (http://www.rit.edu/kgcoe/rems ) is anoutreach program established by the Kate Gleason College of Engineering at Rochester Instituteof Technology (RIT). REMS is a program designed to use real-world industrial engineeringproblems to make 5th – 12th grade math and science fun and meaningful for students. The goalsof the REMS program are to: (a) create an effective math and science curriculum for grades 5–12with a hands-on industrial engineering focus; (b) increase the number of 5th – 12th grade mathand science teachers using age-appropriate teaching modules linking math and science to real-world industrial engineering
calculations from the beginning and slow down the modeling sequence by a (a) (b) (c) Fig. 4: A series of cross-sections comparing the Colosseum model to other reconstructions. From left to right: a) the top-down model produced by Tan (2014), b) a cross-section from the Museo Page 26.546.5 Colosseo, and c) a scale model from the same museum of a sector of the monument.considerable margin. This setback ties into the most significant flaw of the top-down approach,which is that the monument is constructed as a single, monolithic piece. This means that largeamounts of data will
data recorded by learning catalytics.4 Thepercentage of classes attended was determined by the counting the number of exit ticketscompleted or attempted over the total number of exit tickets distributed over the course of thesemester. Students were grouped by course grade “A”, “A-”, “B+”, “B”, “B-”, and “lower”. Oneway ANOVA was performed to determine whether attendance was a significant factor in coursegrade. Course grade was used as the between groups variable and attendance was the dependentvariable. Post-hoc Tukey’s HSD was performed to determine significant pairwise comparisons.The attendance findings are supplemented by data obtained by two different anonymous surveytools distributed to the students. The first tool, typically distributed
. Page 26.576.7 stone unntil one of the player haas 5 in a row w, either straaight or diaggonally(see Figure 5). Thiis problem rrequires knoowing how tto deal withh 2-dimensioonal arrays. On this taskk, theperform mance in thee two groupss was almosst identical: 17 out of 299 students (558.6%) in thhe controlgroup aand 13 out of o 22 studentts (59.1%) ccoped with the t task. Thiis task differed from tassks A and B in that the students weere given thee same probblem ashomework assignm ment before, which mighht explain w why the perfformance off the two grooups wassimilar. Figurre 5. An Omokk game 100
Paper ID #11809Revitalizing an Electromechanical Energy Conversion CourseThomas E McDermott P.E., University of Pittsburgh Thomas E. McDermott is an Assistant Professor at the University of Pittsburgh, with over 30 years of industrial experience in consulting and software development. His research interests include electric power distribution systems, renewable energy, power electronics, electromagnetics, and circuit simulation. Tom is a registered professional engineer in Pennsylvania and an IEEE Fellow. He has a B. S. and M. Eng. in Electric Power from Rensselaer, and a Ph.D. in Electrical Engineering from Virginia
Chemical Engineering Department of the University of Utah. He received his B. S. and Ph. D. from the University of Utah and a M. S. from the University of California, San Diego. His teaching responsibilities include the senior unit operations laboratory and freshman design laboratory. His research interests focus on undergraduate education, targeted drug delivery, photobioreactor design, and instrumentation. Page 26.214.1 c American Society for Engineering Education, 2015 Analysis of Student Interactions with Browser-Based Interactive Simulations