worksheet. Major category First-order subcategoriesIntervention Teaching and learning Educational technology Communication and information technology Development of professional skills Student assessment Student retentionSubject/content area Engineering major Engineering fundamentals Design Laboratory & laboratory courses Basic sciences
practitioners areeducated for their new professions”4(p52). According to Shulman, signature pedagogies have threestructural dimensions – surface (operational acts of teaching and learning), deep (assumptionsabout how best to impart knowledge) and explicit (moral dimension that comprises a set ofbelieves about professional attitudes, values and dispositions). Signature pedagogies inprofessional disciplines also have three temporal patterns: an initial pedagogy that frames andprefigures professional preparation, capstone apprenticeships and a sequenced and balancedportfolio4. Engineering, with its mix of analysis courses, laboratories and design studios, ischaracterized by the latter. Shulman also notes that a signature pedagogy can also be illustratedby
qualitative strand was executed first, through content analysis of all coursedescriptions in the undergraduate catalogs of the institution under study. This process followed acoding framework based on two elements: a) the different data analysis skills described byABET’s Criterion 3.b, and b) the cognitive levels articulated by each description.Coding Scheme. In order to limit the space of exploration in the varied engineering curricula,the data analysis skills described by Criterion 3.b were tied to either 1) Laboratory courses or 2)Statistics courses. The first were expected to cover the design and execution of experiments,while the latter were expected to cover skills to analyze and interpret data. While it isacknowledged that these abilities are
include student learning in the areas of problem solving, engineering design, creative thinking, and spatial ability. Page 25.922.1 c American Society for Engineering Education, 2012 Measured Differences in Spatial Ability between a Face-To-Face and a Synchronous Distance Education Undergraduate Engineering Graphics CourseAbstractDistance education is growing at colleges and universities throughout the United States.Engineering graphics laboratory courses are unique in their focus on skills and design with anemphasis on a hands-on approach when
”The gate reviews improved several aspects of the course. The industry experts withunderstanding of instructional design were able to contribute significantly to make the courseaddress contemporary issues relevant to the course. Their contributions during the earlystages of the course development and during gate reviews resulted in improvements in coursematerial, delivery methods and level of assessments. Improvements were observed in overallstudent performance. The following sections indicate some of the improvements experienced.5.1. Quality improvements in course materialThe course material was systematically developed with multiple gate reviews as discussed inthe previous sections. Workbook and laboratory worksheets were introduced for the
demonstratedthe importance of research experiences for the preparation of eventual graduate students. At thepre-graduate level, themes related to network access and the role of the institution in facilitatingintellectual experiences were important for the study participants. At the graduate level, identity-trajectory reiterated the need for careful design of the research laboratory, and the importance ofnetworks for graduate student success.Overview of literatureIdentity-trajectory, introduced by McAlpine 8,10 is a theoretical framework used to understand theprofessional development of graduate students and early career academics through threestrands11: network, intellectual and institution. Network focuses on the relationships andresponsibilities that
-contact laboratory instruction for the upper divisionengineering coursework, while lower division work is provided by the local juniorcollege. No core coursework is available asynchronously. The existence of this remoteprogram has created an environment where several traditional lecture-style classes arebroadcast into the main campus of the degree-granting institution from faculty at theremote site. Student populations at the course-generating remote site are small, betweenzero and four maximum during the study. Student populations on the receiving maincampus are significantly larger for this course, between 15 and 33 during the study.Courses broadcast into the main campus are not designated on the schedule as beinggenerating off-campus. So, many
instruction in the literature was an impetusto conducting the present study.The test method was also guided by How People Learn.(4) Specifically, the test method wasdesigned to be knowledge-centered; learner-centered; community-centered; and assessment-centered. This mirrors the work of Yalvac et al.(5) , who created writing modules that alsoagreed with the philosophies espoused in How People Learn.ProcedureThe two instructional methods were implemented in two sections of a Fluid Mechanicslaboratory course at University X. The course is housed in the Civil and EnvironmentalEngineering (CEE) department. Each section was taught by a different professor. Students ineach section completed the identical laboratory tasks, but the writing instructional
. Page 14.305.2IntroductionUniversidad de las Américas Puebla (UDLAP) is a Mexican private institution of higherlearning committed to first-class teaching, public service, research and learning in a wide rangeof academic disciplines including business administration, the physical and social sciences,engineering, humanities, and the arts. The studied course, Introduction to Engineering Design(EI-100) is a first-semester 3 credit required course for almost every engineering program ofUDLAP since spring of 2001. Course content and classroom activities are divided into three,two-hour sections (Modeling, Concepts, and Laboratory) per week. Students have six differentEI-100 facilitators (an instructor and teaching assistant for each section). EI-100
Engineering project investigating persistence of women in engineering undergraduate programs. Dr. Lord’s industrial experience includes AT&T Bell Laboratories, General Motors Laboratories, NASA Goddard Space Flight Center, and SPAWAR Systems Center. She served as the President of the IEEE Education Society in 2009 and 2010.Candice Stefanou, Bucknell University Candice is an Associate Professor of Education at Bucknell University. Her teaching interests are in applied measurement and assessment and educational psychology. Her research interests are in motivation and classroom environments.Dr. Michael J. Prince, Bucknell UniversityJohn Chen, California Polytechnic State University John Chen is an Associate Professor
manner as well as in presenting the findings of atask performed. The goal of this project was to assess the efficacy of the C Map techniquethrough mentor-mentee interactions.The primary objective of this project was: 1. Increase students’ capacity to engage in “real world” problem solving: The fundamental goal of this program was to initiate critical thinking amongst the students. The students were motivated to apply the knowledge gained in the lectures during the laboratory sessions. 2. To better retain and engage underrepresented students: The mentoring sessions had mentees from diverse backgrounds and the mentors conducted the sessions with such a varied group and instilled the principles of equality, discipline
Page 26.366.7well as (aspiring) engineers. Our small classes attempt to enculturate students into a rhetoricalmanner of thinking, that is, into a way of evaluating and responding to communicative situationsefficiently and effectively. As a result of this enculturation into a community of practice, ourclassroom is more like a laboratory than a lecture hall, a concept we discuss in section 5.As Wenger24 writes, “An identity is … more than just a single trajectory; instead, it should beviewed as a nexus of multimembership” (159). Thus, while communication professors seem tobelong to a community of practice that is fundamentally different from that which engineeringstudents hope to identify with, Wenger’s concept of multimembership enables
,NSF REUs and other research funding, and regional and national conference presentations. Toachieve these goals, the undergraduate research will be paired with a Research Methods course.The broad goals of this research methods course are to improve the productivity of thesubsequent undergraduate laboratory research course while providing the skills to apply for andreceive competitive funding, admissions, and conferences. In the social sciences, undergraduate research methods courses are fairly common.[3-5]These courses usually focus on developing, using, and interpreting surveys along with statisticalanalysis techniques. While these courses are less common in the hard sciences and engineering,some similar courses are offered.[6-8] In
NSF-funded S-STEM program at UCF entitled the ”Young Entrepreneur and Scholar(YES) Scholarship Program” as well as the NSF-funded STEP program entitled ”EXCEL:UCF- STEP Pathways to STEM: From Promise to Prominence.” Dr. Georgiopoulos’ research interests lie in the areas of machine learning, neural networks, pattern recognition and applications in signal/image pro- cessing, communications, medical field, manufacturing, transportation engineering, amongst others. Dr. Georgiopoulos is a Director of the Machine Learning Laboratory at UCF.Cynthia Y. Young, University of Central Florida Dr. Cynthia Y. Young is a Professor of Mathematics at the University of Central Florida where she holds a secondary joint appointment in
Paper ID #7506The Influence of Feedback on Teamwork and Professional Skills in an Au-thentic Process Development ProjectMs. Debra Gilbuena, Oregon State University Debra Gilbuena is a PhD Candidate in the School of Chemical, Biological, and Environmental Engi- neering at Oregon State University. She currently has research focused on student learning in virtual laboratories. Debra has an MBA, an MS, and 4 years of industrial experience including a position in sensor development, an area in which she holds a patent. Her dissertation is focused on the characteriza- tion and analysis of feedback in engineering education
Paper ID #25131Work in Progress: A Transferable Model to Improve Retention and StudentSuccess in STEM through Undergraduate Research (NSF LEARN Consor-tium)Dr. Daniel Meeroff, Florida Atlantic University Daniel Meeroff is Professor and Associate Chair at Florida Atlantic University’s Department of Civil, En- vironmental & Geomatics Engineering. His area of specialization is Environmental Engineering, specifi- cally water and wastewater engineering, water quality, solid and hazardous waste management, and pollu- tion prevention. Dr. Meeroff is the founder and director of the Laboratories for Engineered Environmental
Paper ID #13186Enhancing Accessibility of Engineering Lectures for Deaf & Hard of Hearing(DHH): Real-time Tracking Text Displays (RTTD) in ClassroomsMr. Gary W Behm, Rochester Institute of Technology (CAST) Gary W. Behm, Assistant Professor of Engineering Studies Department, and Director of NTID Center on Access Technology Innovation Laboratory, National Technical Institute for the Deaf, Rochester Institute of Technology. Gary has been teaching and directing the Center on Access Technology Innovation Laboratory at NTID for five years. He is a deaf engineer who retired from IBM after serving for 30 years. He is a
the use ofnetwork diagrams as a discourse analysis tool.1,2Feedback has been found to be one of the most important factors for educationalachievement.3 It is especially valuable in open-ended projects where student teams canproceed along multiple paths. Our Industrially-Situated Virtual Laboratory projectsprovide a unique learning environment for the study of feedback due to the instructionaldesign and to the variation in student teams, project types, and instructors. Feedback isthe mechanism that the coach uses to guide or redirect student efforts, to challengestudent conceptions, and to enculturate students to the expectations of industrial projectwork.Our previous research on these virtual projects involved developing the coding protocolto
expertise in design and innovation, the impact and diffusion of education innovations, and teaching approaches of engineering faculty. Dr. McKenna received her B.S. and M.S. degrees in Mechanical Engineering from Drexel University and Ph.D. from the University of California at Berkeley.Russell Pimmel, National Science Foundation Russell Pimmel is the lead Program Director for the Course, Curriculum and Laboratory Improvement (CCLI) Program and also is involved in the Advanced Technology Education (ATE) Program, and the Science, Technology, Engineering, and Mathematics Talent Expansion (STEP) Program. He also works on the Stem Talent Enhancement Program (STEP) and the Advanced Technology (ATE) Program. He joined NSF
Outcome indicates the need for: an ability to recognize ethical andprofessional responsibilities in engineering situations and make informed judgments, which mustconsider the impact of engineering solutions in global, economic, environmental, and societalcontexts [5], rather than the demonstration of that understanding itself only. Nevertheless, thecareers of our students as engineers and technologists in an increasingly interconnected worldwill require them to possess a solid understanding of the contexts and consequences of theirengineering efforts in order to make decisions that are both responsive and responsible. A capstone design course requires senior-level students to apply knowledge gained from the coreengineering courses and laboratory
. Spiegel also served as Director of Research & Development for a multimedia development company and as founding Director of the Center for Integrating Research & Learning (CIRL) at the National High Magnetic Field Laboratory, Florida State University. Under Dr. Spiegel’s leadership, the CIRL matured into a thriving Center recognized as one of the leading National Science Foundation Laboratories for activities to pro- mote science, mathematics, and technology (STEM) education. While at Florida State University, Dr. Spiegel also directed an award winning teacher enhancement program for middle grades science teachers, entitled Science For Early Adolescence Teachers (Science FEAT). His extensive background in
before leaving the classroom. The second group participatedin this course also in person and after the face-to-face lecture they were assigned to complete thesame worksheets online and submit them electronically in the Canvas Learning ManagementSystem. The only changed factor between the two groups was the worksheet formats. Thecomparison between the two groups is based on the average grades in learning objectivesthrough assessment measures such as exams and laboratory experiments which was kept similarfor the two groups. The assessment measures and tools are explained in detail in the next section.2. Methodology and approachIn this section we have provided information about the Digital/Microprocessor Basics(EET2141) course and introduced
homework,” Southern Economic Journal, vol. 78, no. 4, pp. 1333–1345, April 2012.[6] J. A. Holdener and B. D. Jones, “Calculus homework: A storied approach,” PRIMUS, vol. 29, no. 1, pp. 21–42, May 2019.[7] L. Pogačnik and B. Cigić, "How To Motivate Students To Study before They Enter the Lab," Journal of Chemical Education, vol. 83, no. 7, pp. 1094–1098, July 2006.[8] M. Rollnick, S. Zwane, M. Staskun, S. Lotz and G. Green, “Improving pre-laboratory preparation of first year university chemistry students,” International Journal of Science Education, vol. 23, no.10, pp. 1053-1071, Oct. 2001.[9] G. O’Brien and M. Cameron. "Prelaboratory activities to enhance the laboratory learning experience," in Proceedings of The Australian
this study, ateam of five industrial engineering students agreed to allow the investigator to observe their teammeetings, individually interview each team member and analyze their work related to theircapstone project. For the laboratory based study, eight industrial engineering seniors were askedto think aloud while completing a three-hour design problem. The findings from the capstonestudy guided the analysis of the data from the laboratory based study.Mathematical thinking behavior was investigated using Schoenfeld’s five fundamental aspects ofmathematical thinking: knowledge base, problem solving strategies or heuristics, effective use ofresources, beliefs and affects and mathematical practices1 . Additionally, Atman and Bursic’sdesign
different aspects of active/real-world learning style preferences by adoptingone of two approaches: 1) a structured and engaging classroom lecture environment with on-paper, problem-solving exercises, or 2) a hands-on, kinesthetically-active laboratory environmentwith integrated on-paper, problem-solving exercises. Pre- and post-SLO assessments revealedthat students learned from both types of SLOs. Analysis of course exam grades revealed thatstudents who attended one type of SLO did not consistently outperform students who attendedthe other type of SLO. Students whose preferences for sensory learning (as indicated by theirscores on the Index of Learning Styles) were most strongly matched by the style of their SLOgroup (i.e., strongest sensory
integrates computers, electronics and physical hardware. Prof Lindsay’s background is in Remote laboratories, investigating whether remote and simulated access alternatives to the traditional in-person laboratory experience can provide the high quality learning outcomes for students. Prof Lindsay’s work in Remote and Virtual laboratory classes has shown that there are significant differ- ences not only in students’ learning outcomes but also in their perceptions of these outcomes, when they are exposed to the different access modes. These differences have powerful implications for the design of remote and virtual laboratory classes in the future, and also provide an opportunity to match alternative access modes to the
; a review ofTable 1. Schedule for class and laboratory. Week Class Lecture/Lab Section 1 1 1 Syllabus, Review of Mechanics 2 2 Circuits / Ohms law 3 Data acquisition / Signals and sampling 3 4 Planning a Monitoring program / Uncertainty / Accuracy 5 Strain Sensors / Vibrating wire gages 4 6 Foil Gages, theory and installation Section 2 7 Foil Gages, selection and voltage 5 8 Fiber optics / Load cells 9 Piezometers / Linear deformation
5 - 50 4 2-3 0-1 Num. of awardees 2,232 3,395 4,171 3,378First, regardless of levels of scholars’ engagement in collaboration, the following topics gainalmost the same extent of attention from scholars: course, curriculum, undergraduate,mathematics, and instruction. Second, there are many areas that show a clear tendency to onlyone or two groups. For example, projects related to laboratory, computer, technology, software,design, and equipment are more likely to be conducted by scholars with fewer collaborators. Onthe contrary, grants about graduate, IGERT, community colleges, nanotechnology, integrate,NUE, workforce, and
Education, 2014 Student Autonomy: Implications of Design-Based Informal Learning Experiences in EngineeringAbstractAs part of their college-based undergraduate degree experience, a large portion of engineeringstudents are involved in different informal learning experiences, such as co-curricular designteams, student organizations, and undergraduate research. The purpose of this qualitative studywas to better understand engineering students’ learning experiences in informal learning sites,particularly their sense of autonomy, which emerged as a major theme in initial data analysis.Specifically, this study investigates a hands-on design and manufacturing laboratory forengineering students in a large research and state
engineering design and students were required towork in teams to solve a variety of design tasks (e.g., designing a net-zero energy house forhabitat for humanity). Instruments previously established by Brewe and colleagues16 for use inintroductory physics laboratories were adapted for use. In brief, students were asked “Who doyou work with on engineering assignments (i.e., homework, projects, etc.)? Please list all.” Ofthe 860 students enrolled in the class, 725 responded to the survey resulting in a response rate of84%. This SNA question was administered as part of larger, pen and paper survey of studentattitudes towards diversity during the final weeks of the semester.Data was manually compiled into an edge list, a paired list describing all the