Practical Training approvals surpassed initial H-1B visa approvals in 2010, 2014, 2015 and 2016 Number of OPT and H-1B visa approvals, in thousands Note: H-1B visa data are in U.S. federal fiscal years, which run from Oct. 1-Sept. 30. OPT data are in calendar years. H-1B data include both capped and uncapped approvals. H-1B visa applications require an equivalent to a U.S. bachelor’s degree or higher. See Appendix B for OPT educational requirements. Source: Pew Research Center analysis of U.S. Immigration and Customs Enforcement data received August 2017 through a Freedom of Information Act request and publicly available
. Turns, B. Sattler, K. Yasuhara, J. L. Borgford-Parnell, and C. J. Atman, Integrating reflection into engineering education: ASEE Annual Conference and Exposition, June 15-18, 2014, Indianapolis, IN, USA. 2014.[3] K. R. Csavina, A. R. Carberry, T. S. Harding, and P. Cunningham, Assessing Student Understanding of Reflection in Engineering Education: ASEE’s 123rd Annual Conference and Exposition, Conference Proceedings, June 26-29, 2016, New Orleans, LA, USA. 2016.[4] X. Wang, N. Sun, B. Wagner, and B. R. Nachman, “How do 2-year college students beginning in STEM view themselves as learners?” Teacher College Record, vol. 121, pp. 1-44, April 2019.[5] M. B. Miles, A. M. Huberman, and J. Saldaña
PoolingElectronic pooling (iClicker) has been used to promote active learning in large classes. Theprimary benefit from using an iClicker system is that the response from many students can becollected and assessed very quickly. For example, in a thermodynamics class the followingmultiple-choice questions were posed: Q1: Under what conditions can you assume an ideal gas model for a gaseous substance? Select the best answer from the following choices: (A) TR ≈ 0, (B)TR ≈1; (C) PR ≈0; (D) PR ≈ 1; (E) Z =0 Q2: The change in internal energy of a closed system undergoing any process is: (A) ≤ 0 , (B) ≥ 0 , (C) ≥ 0 but ≤ 1 , (D) ≥ 1, (E) both A and B Q3: The change in the entropy of a closed system undergoing any process is: (A
postonly survey originally developed by The Program Evaluation Group for Science enrichmentprograms.The data tables and corresponding graphs generated from responses to the Student FeedbackSurvey are presented next. 1(a). This program helped me understand science 26.51% 55.42% 16.87% better. (n = 83) 1(b). Because of this program, I feel better about 45.78% 36.14% 14.46% being able to learn science. (n = 83) 1(c). I learned some things in this program that I 39.02% 37.80
qualitative and quantitative results, we will seek to understand how the two partscan inform each other. For the factors that are already identified, further research willbe undertaken to understand how the factors influence engineering students’epistemological development. Additionally, future research will be focusing on theadvantages and disadvantages of different forms of SDPs as regards to students’epistemological development.Reference[1] J. C. Wise, S.H. Lee, T. Litzinger, R.M. Marra and B. Palmer, “A report on a four-year longitudinal study of intellectual development of engineering undergraduates,”Journal of Adult Development, vol.11, no.2, pp.103-110, Apr. 2004.[2] R. M. Felder and R. Brent, “The intellectual development of science
color ball in the same color or creating tube for each animal. patterns 1Links to the activities which include pictures and descriptions will be provided when paper is unblinded. References[1] J. Wing, “Computational Thinking,” Commun. ACM, vol. 49, no. 3, pp. 33–35, 2006.[2] W. Sung, J. Ahn, and J. B. Black, “Introducing Computational Thinking to Young Learners: Practicing Computational Perspectives ThroughEmbodiment in Mathematics Education,” Technol. Knowl. Learn., vol. 22, no. 3, pp. 443–463, 2017.[3] S. P. Jones, “Computing at school in the UK : from guerrilla to gorilla,” Commun. ACM, no. April, pp. 1–13, 2013.[4] A. Dasgupta, A. M. Rynearson, S. Purzer, H. Ehsan, and M. E. Cardella
system.This bulkhead is 3D printed and can be customized based on the motors available. If desired, thisbulkhead could be expanded to separate the vessel into two watertight compartments. Within thisbulkhead, routing points are included for cables connecting the sensor package to the electronicspackage. The electronics package sits on a shelf that conforms to the curvature of the hull. Thisshelf provides a level mounting platform for the electronics while elevating them above the innersurface of the hull in case there are any leaks. For this application, the electronics package isprotected in a separate IP67 waterproof case that was on-hand.The electronics package consists of a Pixhawk flight controller, a Raspberry Pi 3 B+, and anArduino Uno. The
arebeginning in the Senior Design/Capstone courses, with the goal that content and activities willgradually be filtered into other courses starting with the first-year experience.7These efforts seek to address the gaps in engineering education noted above by (a) involving aspecialist in ethics and technology in the context of engineering education, (b) embeddingengineering ethics within straightforwardly “technical” courses, (c) illustrating how professionaland engineering questions encountered in upper division engineering education benefit from apan-ethical perspective, and (d) subjecting these decisions to the critical review of clients whowill have to face any ethical dilemmas arising from engineering decisions.Working to fulfill the Future of
the extent to which they interacted with their completed homework post-submission, for bothstudent sets. The magnitude of this increase is greater for SVC than OSU students. To study this further,the data were analyzed for each individual student to document their specific change in behavior. Thisa)b) Figure 3: Sankey plot detailing the change in individual student behaviors when receiving back graded homework for (a) SVC and (b) OSU. This is an expansion of the data in Figure 2. The left side of each plot indicates student behavior in previous courses, while the right side shows student behavior in MHP courses. Upward flows (green) indicate student progress towards more effective study behavior in the MHP courses, while downward flows
expected time on the problem framing. They may not haverecognized the importance of discussing the possible problems of the company through thequestions.Table 1. The first strategies followed by the teams to generate individual questions. Team strategy Teams Explore the data and post individual questions (as proposed). G, K Not show the exploration of the data and post the individual questions. A Explore the data, post the individual questions, and provide general F, H, L, M, P findings from all the questions. Explore the data, post the individual questions, and fully answer and B, C, D, J, N, E, analyze each of the questions.Individual Data-exploratory
learning. Students who received explicit training inASTM standards were also asked 1) to participate in a mid-semester assessment survey abouttheir training by the librarian and 2) to provide their ASTM standards reports for analysis. Thepre-test, post-test (Appendix A), and assessment survey (Appendix B) were anonymous; thestudent ASTM standards reports were collected and de-identified, per UB IRB protocol#STUDY00003053. The population included 500 engineering students, and of those, 473participated in the pre-test, 371 participated in the post-test, and 104 agreed to allow us toanalyze their standards report.Although this paper does not aim to address the findings of all these methods as the primaryargument, the authors move into the results of
Mathematics Majors Homework Quiz – Other Types of Equations NAME: __________________________________ MAT 1050: College Algebra Score: ___________ a. Find a problem from the homework that 1. Solve the following: would be solved using the same process. 𝟒 𝟐 𝒙+𝟏 −𝟓 𝒙+𝟏 = −𝟒 b. Without solving, what mathematical cues caused you to choose that particular problem from the
factor. Rating of A Rating of B Rating of C Rating of D Member A ratings of all members 27 24 24 25 Member B ratings of all member 25 30 23 22 Member C ratings of all members 25 25 25 25 Member D ratings of all members 25 27 25 23 avg=25.5 avg=26.5 avg=24.25 avg=23.75 25.5/25=1.02 26.5/25=1.06 24.25/25=0.97 23.75
for effective software engineering includeknowledge of the: software process – requirements, design, validation and evolution; and toolsand techniques (a) to model various artifacts in the requirements and design phases, (b) supportverification and validation, and (c) maintenance activities post software deployment. The non-technical (soft) skills include effective: communication, team management and participation, andtime management, among others.In this paper we present our experiences of integrating learning and engagement strategies (LESs)into face-to-face (F2F) learning environments with the expectation of improving student learningand engagement for both software engineering and software testing undergraduate classes. Theexperiences
Stakeholder Metrics Since the students were not beholden to the instructors for a grade, no formal evaluationof the students was undertaken. However, a short evaluation form for the course and instructorswas given to the students at the end of the course, including five questions: (1) What do you feel were the strengths and weaknesses of these instructors? (2) How do you feel the instructors could improve their teaching of this course? (3) Please rank the instructors from 1 (low) to 5 (high) on the following aspects: a. Instructors well prepared b. Encouraged independent thinking c. Learned greatly from instructor d. Interested in helping participants e. Overall rating (4) How do you
Conference University of New Mexico, Albuquerque Copyright@2020, American Society for Engineering Educationgraduate studies in the U.S.; whereas, those with a bachelor’s as their highest degree are likely tobe temporary workers from abroad on H-1B visas to work in the U.S. Foreign-born scientists andengineers who join U.S. technology companies after attaining a graduate degree from the U.S.have H-1B visas which can be categorized as H-1B Ideal type. Ontiveros11 has separated threetypes of H-1B visa for those coming directly from their birth country to work: Pure H-1B,Outsourcing H-1B, and Body-Shop H1-B types.Securing H-1B visas after attaining a graduate degree from U.S. educational institutions is an“Ideal
into a completed project. A combination of a lack of student skillsand inadequate communication between faculty and the students led to disengagement. The teamis disbanded, and the design is left untested for feasibility and therefore incomplete. Thishighlights the need for effectively matching a student’s skillset with the project requirements andeffective communication throughout the lifecycle of the project.Figure 3: A) Tau Beta Pi Bent relocation project student design, B) Image of prototype 3Dprinted antique part replica, C) Robotic arm developed by students as an educational toolIn another project, a local business owner was assisted by producing a prototype antique partreplacement for a historical restoration initiative. The company was
question they will address and why the work is important. Students are asked to summarizethis information succinctly in one sentence, as suggested by [5]. The completed sentence shouldread “The topic I am studying is X, because I want to find out Y, in order to help my readerunderstand Z.” where X is the topic of study, Y is the question that needs to be answered, and Z isthe significance of the work.In addition, this worksheet is also designed to help students to determine if the problem they planto address is a practical or conceptual problem [5], [6], by answering the following questions: a. Practical Problem: What do you want your reader to do after reviewing your work? b. Conceptual Problem: What should the reader think after
Trigger” condition.ConclusionsThe impact detector project provided the mechanical engineering students with hands-onexperience that they had not previously encountered. For some students, it was the first time theyhad used a hand drill or soldering iron. The project also served to highlight many aspects of thecourse and show how these concepts can be combined to create an actual useful device. The instrumentation and measurement course supports the following student outcomes for the mechanical engineering program: b. Students have an ability to design and conduct experiments, as well as to analyze and interpret data. g. Students have an ability to communicate effectively. j. Students have a knowledge of contemporary
IEEE Frontiers in Education Conference (FIE), 2016.[7] T. B. Murdock, L. H. Anderman, and S. A. Hodge, “Middle-grade predictors of students’ motivation and behavior in high school,” J. Adolesc. Res., vol. 15, no. 3, pp. 327–351, 2000.[8] J. R. Austin, D. S. Isbell, and J. A. Russell, “A multi-institution exploration of secondary socialization and occupational identity among undergraduate music majors,” Psychol. Music, vol. 40, no. 1, pp. 66–83, 2012.[9] J. C. Weidman, “Undergraduate socialization: A conceptual approach,” in Higher education: Handbook of theory and research, vol. 5, New York, NY: Agathon, 1989, pp. 289–322.[10] E. M. Ellis, “The impact of race and gender on graduate school
“Practice of engineering”…engineering Ark. Code § 17-30- teaching of advanced engineering subjects or 101(4)(A) related courses Idaho “Practice of Professional Idaho Code § 54- Engineering”…teaching upper division 1202(10) engineering design subjects Kentucky “Practice of engineering”…the teaching of Ky. Rev. Stat. engineering design courses in any program §322.040(1)(b) accredited by EAC-ABET or equivalent Missouri “Practices as a professional § 327.181.1 RSMo
Students Accepted 7 Oct 20 Using a Project-based Sequential Learning Approach,”. In ASEE Annual Conference Proceedings. Citation ASEE, June 2018. Ansaf B. and Jaksic N.“Simulation and Interactive [12] B. Ansaf and N. Jaksic. “Teaching Undergraduate Manufacturing Course using a Design-based Digital Tools to Support Teaching Approach,”. In ASEE Annual Conference Proceedings. ASEE, June 2019. Teaching Engineering Manufacturing Processes [1] D. Wendell. “Teaching Undergraduate Manufacturing in a Flipped Classroom,”. In and others, Course,” Computers in Education Journal, vol. 11, editor, ASEE Annual Conference and Exposition, Conference Proceedings, June 2018
university andcomprehensive university respectively. The first configuration in table 4 shows (a)more academic scientists, (b) fewer graduate students, (c) fewer funding projects,and (d) fewer academic papers with higher consistency. This finding explains whyengineering advantage university policies pay more attention to the introductionand cultivation of high-level scientific research talents. The second configuration intable 4 shows that (a) fewer academic scientists, (b) more graduate students, (c)fewer academic papers and (d) fewer library resources with high consistency, whichshows that engineering advantage university attaches great importance toengineering innovation students. The third configuration in table 4 shows (a) feweracademic
. FBD’s are correct 2. Used Factor of Safety Equations correctly for all applicable problems. 3. Internal forces/torque of members were found correctly for all problems 4. Deformation/stress equations were applied correctly for all applicable problems 5. All final answers included proper UNITS and correct directions (positive/negative) 6. All the steps were clear and made sense. Student had a clear idea of solving the problem Section 2: Comments: Point Scale: 4.0 Flawless Work (6/6) 3.0 Quality Work (5/6) 2.0 Average Work (4/6) 1.0 Needs Improvement (3/6)Based on the proposed scale, the instructor confirmed that having an overall average of 2.0 orhigher at the end of the semester, guaranteed students earning a letter grade of B or higher.However
. J. Eng. Educ., vol. 30, no. 4, pp. 880–900, 2014.[11] S. Howe and J. Goldberg, “Engineering Capstone Design Education: Current Practices, Emerging Trends, and Successful Strategies,” in Design Education Today: Technical Contexts, Programs and Best Practices, D. Schaefer, G. Coates, and C. Eckert, Eds. Cham, Switzerland: Springer International, 2019, pp. 115–148.[12] K. H. Sienko et al., “Global health design: Clinical immersion, opportunity identification and definition, and design experiences,” Int. J. Eng. Educ., vol. 34, no. 2(B), pp. 780–800, 2018.[13] R. P. Loweth, S. R. Daly, J. Liu, and K. H. Sienko, “Assessing needs in a cross-cultural design project: Student perspectives and challenges,” Int. J. Eng
. Loekemoer and J.A. Nel, “Exploring the impact of information andcommunication technology on employees’ work and personal lives,” SA Journal of IndustrialPsychology, vol. 42, ed. 1, Jun. 2016.[2] P. Hanafizadeh, S. Ghandchi and M Asgarimehr, “Impact of Information Technology onlifestyle: A literature review and classification,” International Journal of Virtual Communitiesand Social Networking, vol. 9, is. 2, Apr.-Jun. 2017.[3] S. Deb, “Information technology, its impact on society and its future,” Advances inComputing, vol. 4, is. 1, pp. 25-9, 2014.[4] D. J. Fuchs, “The dangers of human-like bias in machine-learning algorithms,” MissouriS&T’s Peer to Peer, vol. 2, is. 1, May 2018.[5] B. J. Erickson, P. Korfiatis, Z. Akkus, and T. L. Kline
' efficacy beliefs. Journal of Engineering Education, 97(2), 177.[11] Matusovich, H. M., Streveler, R. A., & Miller, R. L. (2010). Why do students choose engineering? A qualitative, longitudinal investigation of students' motivational values. Journal of Engineering Education, 99(4), 289-303.[12] Jones, B. D., Osborne, J. W., Paretti, M. C., & Matusovich, H. M. (2014). Relationships among students’ perceptions of a first-year engineering design course and their engineering identification, motivational beliefs, course effort, and academic outcomes. International Journal of Engineering Education, 30(6A), 1340-1356.[13] Dickrell, P., & Virguez, L. (2018) Engineering Design & Society: A First-Year Course
. Dissertation.University of Oklahoma.[16] Fantz, T. D., Siller, T. J., Demiranda, M. A. (2011), Pre-Collegiate Factors Influencing the Self-Efficacy of Engineering Students. J. Eng. Educ., vol. 100, no. 3, pp. 604–623.[17] Marra, R. M., Rodgers, K. A., Shen, D., & Bogue, B. (2009). Women engineering students and self‐efficacy: A multi‐year, multi‐institution study of women engineering student self‐efficacy. Journal ofengineering education, 98(1), 27-38.[18] Marra, R. M., & Bogue, B. (2006). Women engineering students' self efficacy--a longitudinal multi-institution study. Women in Engineering ProActive Network.[19] Concannon, J. P., & Barrow, L. H. (2009). A cross-sectional study of engineering students’ self-efficacy by gender, ethnicity, year, and
26 pages long including appendices. You are not expected to read the entire thing in detail. Practice skimming, watching out for things that look most important. Some of those important things will appear on the quiz.) 3. Read Sections 6-9 and 6-10 in the textbook. 4. Complete online pre-lab quiz.Goals of this Lab 1. Study the behavior of metallic materials under impact loading conditions, including the effect of temperature on impact energy and failure mode. 2. Use impact energy measurements to determine: a. the ductile to brittle transition temperature (DBTT) for three plain carbon steels, AISI/SAE 1018, 1045, and 1095; b. the role of (i) steel heat treat condition
. Dally, J. W., & Zhang, G. M. (1993). A freshman engineering A4 120 design course. Journal of Engineering Education, 82(2), 83-91. Miller, R. L., & Olds, B. M. (1994). A model curriculum for a A5 capstone course in multidisciplinary engineering design. Journal of 113 Engineering Education, 83(4), 311-316.FindingsIn line with discourse analysis methods, the findings are presented through quotes and passagesfrom the five papers reviewed. It is important to note some of these quotes are paraphrased in thearticles, based off engineering design work done by others. We have not included these citations,as we