difficulty DHH students experience in developingthe critical skill of problem solving, which requires the integration of information to iterativelygenerate hypotheses and solutions around the traditional scientific method. The struggles thatmany DHH students face in mathematics as well as general problem-solving skills are well-documented and limit the potential for DHH students to be successful while pursuing careers inSTEM. 1-3Several important findings in DHH research have provided some insight as to why DHH studentslag behind their hearing peers in the development of problem-solving skills. First, DHHstudents, on average, do not possess the same level of conceptual knowledge as their hearingpeers.4-6 As a result, when faced with a problem
career choice." 1Two of the (original three) students involved in the design and development of this project havesuccessfully completed their graduate studies. Additional students have continuouslycontributed to the improvement of the project and redesign of several components and aspects ofthe apparatus.IV- Design of the Experiment and the Apparatus1. PedagogyThis project has been designed for sophomore level students. Pedagogical measures have beentaken for its realistic effectiveness (nation-wide). Therefore, the framework of the project hasbeen set at a level that sophomores may: a) succeed in its implementation and b) develop somedegree of understanding and appreciation for the optical measurement processes and potentialapplications.2
smart grid. He is on the Editorial Board of IEEE Transactions on Wireless Communications, IEEE Internet of Things Journal, IEEE Communi- cations Surveys and Tutorials, among others. He received the 2013 IEEE ComSoc MMTC Outstanding Leadership Award and the NSF CAREER Award in 2010. He is a co-recipient of The IEEE ICC 2013 Best Paper Award and The 2004 IEEE Communications Society Leonard G. Abraham Prize in the Field of Communications Systems.Dr. Yingsong Huang, NetApp Inc. Yingsong Huang received the Ph.D. in electrical and computer engineering from Auburn University, Auburn, AL in May 2013. He received the M.S. degrees in control theory and control engineering and the B.S. degree in Automation, both from
quality and impact of an implemented project based on the students’ finalpresentations, including corrections of the collected results and conclusions. Proposedsummative evaluation questions include: • To what extent did participants use what they were taught in their own activities? • Which topics and techniques were most often (or least often) incorporated? • To what extent did participants share their recently acquired knowledge and skills • To what extent was there an impact on participating students? Have STEM faculty become more (or less) positive about integrating experiences and making such experiences an important component of their student’s future career? • Did changes occur in the overall perception and
Annual Conference, session 1392, pp. 1-11, 2001.[10] D. Niemeier, R. Boulanger, P. Bayly, S. Schmid, K. Muraleetharan, and A. Barros, “Integration of engineering education and research: perspectives from the NSF civil and mechanical systems 1998 CAREER workshop,” Journal of Engineering Education, pp. 199-202, April, 2001.[11] A. Jenkins, R. Breen, R. Lindsay, and A. Brew, Reshaping Teaching in Higher Education : Linking Teaching and Research, London, Kogan Page, and Educational Development Association. Distributed by Stylus in the USA. 2003.[12] E. Takle, “University instruction in observational techniques: survey responses,” Bulletin of the American Meterological Society, vol. 81, pp. 1319-1325, 2000.[13] A. Kenimer, J
. Previously, Dr. Traum was an assistant professor at the Milwaukee School of Engineering (MSOE), one of the top-ten undergraduate-serving engineering universities in the U.S. Dr. Traum coordinated MSOE’s first crowd-funded senior design project. He also co-founded with students EASENET, a start- up renewable energy company to commercialize waste-to-energy biomass processors. Dr. Traum began his academic career as a founding faculty member in the Mechanical & Energy Engineer- ing Department at the University of North Texas - Denton where he established a successful, externally- funded researcher incubator that trained undergraduates to perform experimental research and encouraged matriculation to graduate school
could continue to build upon these tools through our electronics careers. The challenges for me were interpreting the labs especially when a couple of them had unclear objectives of what we were meant to accomplish. There were also errors in the labs which suggest that they had not been tested. In our first lab the wires in the photos were in the incorrect positions of the board, yet if this lab had been constructed and tested… shouldn’t it have easily been identified that the wires were wrong before the photos were taken because the LEDs would have failed to light.”Table 6. Student feedback for 2016 Winter Quarterground (traditional face-to-face) class for
0.46-0.48: ‘describe calculation methods’, ‘estimate uncertainties in results’, and ‘explain routine data processing such as calibration corrections’. Weak positive correlations were seen with ‘justifying adjustments or corrections’ and ‘examining data for consistency’. An interesting result is that there was almost no effect for the behaviors ‘anticipate results from theory’ and ‘compare data to previous work or literature’. This may point to either a weakness in the curriculum in reinforcing these behaviors, or a lack of maturity and understanding on the part of the students at this point in their academic careers. One lab that stands out is Lab 6. This had a very low positive correlation for the total number
tobuild on concepts that were covered in the Fundamentals of Metrology course withoutcompletely covering each topic again, eliminating much of the previous duplication.Prerequisites for the course include having a demonstrated knowledge of basic mathematics andcompletion of a number of reading assignments. It was also determined during needs assessmentthat OWM instructors were spending excessive time helping students with remedial mathematicstasks. Successful completion of mathematics pre-examination is often required in the continuingeducation environment; however, course titles or numbers with designated passing levels couldbe used in a university setting. In the metrology career field, most professionals already have ascientific, mathematics
thestudent learning process. While content knowledge is important, keeping students motivated,self-regulated, and efficacious will help students reach their academic and career goals. Page 24.91.17Table 4. Descriptive Statistics for Student Performance on Content-Based Tests Control Group Treatment Group Mean SD Mean SD PreT1 17.80 14.25 9.53 10.44 PreT2 6.77 8.10 4.73 8.01 PreT3 1.95 4.63 1.40 4.24 PreT4 1.83 5.30 1.13 3.14 T1Pre 75.56
, Purdue University RANJANI RAO is a doctoral student in Organizational Communication in the Brian Lamb School of Communication at Purdue University. She earned her masters in Media, Technology and Society from the same department in 2008. Prior to joining Purdue, Ranjani worked as a journalist with Indo-Asian News Service in New Delhi, India after obtaining her BA (Honours) in Economics from Delhi University and Post Graduate Diploma in Journalism from the Indian Institute of Mass Communication, New Delhi. Ranjani’s research explorations in communication have included careers in the context of immigration, media and family communication, work-family dynamics and qualitative research methods in engineering
Senior Planning and Research Associate in the Office of Planning and Institutional Assessment at The Pennsylvania State University.Dr. Amy L Freeman, Pennsylvania State University, University Park Dr. Amy L. Freeman is Assistant Dean of Engineering Diversity at The Pennsylvania State University where she received the M.S. in Architectural Engineering, and a Ph.D. in Workforce Education. She is Co-PI on the NSF-sponsored Toys’n MORE grant and currently manages several retention programs targeting over 2500 women and underrepresented technical students at all levels of the academic and career development pipeline. She is also an executive member of the National Association of Multicultural Engineering Program Advocates
Exit Surveys: The goal of the survey is to determine the impact of hands-on learning asstudents reflect on their academic experiences. Student input also reveals the expected value ofthese experiences in their professional careers as they have, typically, completed their job searchand have an understanding of the knowledge and skill sets that will employ in the near future.4.0 ComparisonThe three models of implementation of the hands-on activities can be compared against severalcriteria as shown in the table below. The model described in Section 2.1, Small In-ClassActivities in Lecture-Based Courses, is abbreviated as “Small In-Class Labs.” The modeldescribed in Section 2.2, Student-Owned Equipment in Lab Courses, is abbreviated as“Ubiquitous