Bloom’s apply or analysis levels (2 and 3), androughly correspond with a “B” in the course. Level 3 (black squares) are the most complicatedtasks corresponding to Bloom’s levels 4-6 and an “A” level of understanding for the course.This scheme is clearly explained to students when they are given the review sheets, emphasizingthat understanding a topic is not black and white, but incremental, and that it is difficult to tackle Page 26.132.10higher-level objectives without first understanding the basics. • Define heterogeneous nucleation. • Define contact angle (aka, wetting angle). o Calculate the wetting angle based on relative
, et al. (2014). Comparison of Student Performance and Perceptions Across Multiple Course Delivery Modes. ASEE Annual Conference and Exposition. Indianapolis, IN, ASEE. [2] Saterbak, A., M. Oden, et al. (2014). Teaching Freshman Design Using a Flipped Classroom Model. ASEE Annual Conference and Exposition. Indianapolis, IN, ASEE. [3] Swift, T. M. and B. Jean Wilkins (2014). A Partial Flip, A Whole Transformation: Redesigning Sophomore Circuits. ASEE Annual Conference and Exposition. Indianapolis, IN, ASEE. [4] Clemens, B. M., C. Nivargi, et al. (2013). "Adventures with a Flipped Classroom and a Materials Science and Engineering MOOC : “Fools Go Where Angels Fear to Tread”." Materials Research Society
plastic deformation and show extensive working hardening before necking at theultimate tensile stress. Furthermore, the differences between the annealed and cold worked (orhalf-hard) brass demonstrate the effect of cold work on increasing the yield stress and decreasingthe ductility. Students are able to visualize the uniform plastic deformation that occurs in thetensile bar by performing hands-on tests. Figure 1(b) shows the plastic deformation from theinitial metal bar length through necking (thinning of the sample’s mid-section) to fracture forsample tensile bars. Page 26.1437.3The deformation of a platinum nanowire is shown in Figures 1c and
occurrence of thesefast motions within their sport that results in injury of the forearm muscles. After somebackground on the problem, it is recommended that the biology of the muscle be discussed, witha focus on explaining that tendons carry tensile forces from muscle to bone, with the collagenfibrils contained within tendons accounting for the mechanical resistance to tension.15 Finally,a See example introduction presentation in the supporting information (S1).b If the activity is used for women outreach purposes the project can be shifted to create an implant for female Page 26.1.3athletes.depending on the group of students, the
(n=24 students) and (B) stress relaxation lab (n=28students). Both post-tests scores were significantly higher (p<0.05) than the respective pre-test scores. The errors barsrepresent the 95% confidence interval.6. ACKNOWLEDGEMENTThis material is based upon work supported by the National Science Foundation under Grant No.1245595.7. REFERENCES1. Williams D. The Williams Dictionary of Biomaterials. Liverpool: Liverpool UniversityPress; 1999.2. Polymer Characterization Techniques.247-56.3. Ratner B, Hoffman AS, Schoen FJ, Lemons JE. Biomaterials Science: AMultidisciplinary Endeavor. Biomaterials Science: A Introduction to Materials in Medicine. SanDiego: Elsevier Academic Press; 2004. p. 1-9.4. Moss A. Use of Selected
. Example problem videos by graduatestudents, 3. Cornell notes, note-taking framework handouts, 4. Tempered glass lecturedemonstration, 5. Online homework problems, and 6. New in-class slides for lectures. a. Online “Khan Academy Style videos (KSV)”Of the eight students who participated in the study, most found the fracture synopsis videos to beconcise and helpful for a quick review of challenging concepts. The fact that the videos wereshort was a distinct advantage. However, these videos were introduced later in the semester as ameans of review; students wished that they had been made available earlier to complement theirfirst experience learning the topic. b. Example problem videos by graduate studentsThe example video problems were
reinforced. The revision in 2011 aligned the program withthe current educative model of the UANL11, which is based on: (a) Learning-centered education(b) Competencies-based education, (c) Flexibility, (d) Internationalization and (e) Academicinnovation. This model aims at promoting the transition from a traditional knowledge-orientedapproach to a methodology that seeks the development of skills and competencies, the curriculumflexibility is reinforced, the internationalization processes are taken into account as well as thestudent exchange and mobility. The current version of the program consist of a total of 220credits distributed in 10 semesters. According to both the Educative and Academic Model of theUANL, one credit is equivalent to 30 hours of
Manganin 48.2 x10-8 Silicon* 0.1-60 ... -8 Lead 22 x10 Glass 1-10000 x109 Hard rubber 1-100 x1013 Quartz (fused) 7.5 x1017 Stainless Steel 5 X10-5 b. Experiment Procedure: Thermal Conductivity and Specific Heat CapacityIn the next section, the concepts that relate heat, the material properties of thermal conductivityand molar heat capacity, and the ‘sea of electrons’. The equations that relate the power transmittedthrough the surface of a sample, the temperature of the surfaces of a sample
videos, l), increasedin use from exam 1 to 4 from 47% to 67% and the e-vocabulary site, m), varied in use, from 33%to 24%. Google use, o), from exam 1 to 4, was moderately high, and ranged from 42% to 61%.Comparing the results of the Spring 2014 four-exam set to the Spring 2015 semester-start resultsshowed some differences. For exam preparation Spring 2014 compared to Spring 2015, theresults showed the following. Resource use did not differ greatly for a) classroom notes, b)homework problems, c) lecture slides, and d) old exams. While average textbook use, e), did notdiffer much between 2014 and 2015, interestingly, 2015 males used textbooks to prepare forexams much more than females, 41% to 15%. Google use for the 2014 class, at an average of52
self-identify as visual learners, so a graph is more appropriate for theirlearning style.In reality, B-/C+ students do not suddenly earn 100% on all remaining assignments; nor do theytypically stop turning in work for the last two weeks of a course. Instead, they tend to continue atthe same level of performance.In my freshman Materials & Processes class, I staple each student's course grade graph to his orher graded Midterm Exam. The passing grade in this class is 70%. In the following course gradegraphs from Fall 2014, the vertical scale is 70% to 100%, unless the student has course gradesbelow 70% (Students Black and Red). Students can readily see whether they are improving overtime, and whether they are on track to pass the course
interrupting and talking over eachother, at three minutes they begin to build a conversation.Speaker A: How many pellets do we want to make, because she said it was like uh five grams.Speaker B: No, because we are not going to do just one pellet so we are definitely going to need controlsand stuffSpeaker A: Yeah that's trueSpeaker C: For the 0.6 it says about 1g?Speaker D: How expensive were the dopants?At six minutesSpeaker B : So should we plan to do like 3 pellets per thing so that we have uh error bars?Speaker A: Yeah that would be goodSpeaker D: Yeah I think 3 or fiveSpeaker B : Wait, point 3 or moreSpeaker D, A, B: YeahSpeaker A: So which, so whichSpeaker D: interrupting - 9 pelletsSpeaker A: 9 pellets?Speaker A, C, B: Three, three three dopants
established the optimum choice of material, withoutsolving the complete design problem. Reference [3] discusses a wide range of situationsinvolving a variety of loadings. For the purpose of illustration only two cases were consideredalong with the associated material indices. It was felt that most of the loadings associated withthe products analyzed by the students could be viewed in terms the following two loadingscenarios:: (a) Design of a light stiff beam in bending (b) Design of a light strong beam in bendingIt was left up to the students to use the loading appropriate to their product. They were expectedto find the material properties of the various components of their products from literature. Thespecific properties were the density, ρ
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
laboratory than a traditionalacademic laboratory. One example is use of professional specifications (e.g. ASTM) as opposedto laboratory manuals. Secondly, multiple field trips to commercial facilities (e.g. Figure 1a)provide students with context for laboratory experiments. A third example is writing assignmentsclosely aligned to professional reports, since most practitioners submit fewer, yet morecomprehensive, reports to clients. Four reports are submitted for all laboratory exercisesperformed (soil/soil stabilization, aggregates, concrete, and asphalt) that also include contentrelated to applications and design. a) Asphalt Concrete Facility b) Example Laboratory Space
for introductory level MSEknowledge and then to investigate the psychometric properties of the scale items (mean,skewness, kurtosis, and inter-item correlation) and explore the scale’s factor structure. We thenattempted to determine (a) any changes in materials science and engineering self-efficacy duringthe semester; (b) any significant difference in the level of materials science and engineering self-efficacy by students in different demographic groups (e.g., gender and major); and (c) anyassociations between materials science and engineering self-efficacy and student achievementoutcomes (e.g., course grade, engineering grade point average (GPA), and cumulative GPA).Experimental MethodsPhase 1: Item Development Twenty-two discrete
, – Rubric B processing, sustainability • Presentation Final – (environmental, societal, Rubric C economical, & technical factors) -Ecological audits -Deliver information in written format Final Evaluation (FE) All that was in PE plus the following: -Material testing -Statistical analysis -Design a material test
Table4.Table 4: Final Grades B Cby Term A (Before 42% 38% 20%JTFImplementation)Winter 51% 45% 4%2014Fall 2014 50% 47% 3%Learning becomes easier and more accurate:Students have been very positive about using the enhanced learning methods in theclassroom and like hearing from other students explaining some of the more difficultconcepts. They like the short videos and short powerpoints explaining any ‘MuddyPoints’ and then like the instructor feedback that indicates that the instructor is listening tothem and connecting with them.Difficulties of implementation:Learning new software is always time consuming, however if the instructor takes the timeto
Paper ID #11236Application of Life Cycle Analysis with Systems in an Introductory MaterialsCourseDr. Craig Johnson P.E., Central Washington University Dr. Johnson is the coordinator of the MET Program at Central Washington University. He is also the Foundry Educational Foundation Key Professor and coordinates the Cast Metals Program. This will be is second year as the Chair of the Pacific Northwest Section.Prof. Charles Pringle, Central Washington University Charles Pringle is a professor in the Mechanical Engineering Technology program at Central Washington University. Charles teaches upper division courses including the
Paper ID #13797An Introductory Teaching Resource for Materials Science and EngineeringDr. Claes Fredriksson, Granta Design, Ltd. Currently working as Senior Materials Education Consultant at Granta Design in Cambridge, UK. Until recently Program Director for a Master’s Programme in Manufacturing Engineering at University West in Sweden. Experience in teaching subjects like Materials Science & Technology and Environmental Technology to students of mechanical engineering at the department of Engineering Science since 1999.Mrs. Hannah Melia, Granta Design, Ltd. Hannah Melia leads the Teaching Resources Team at Granta Design