polystyrene microplastics in the presence of humus," Environmental Science: Processes & Impacts, vol. 22, no. 12, pp. 2388-2397, 2020.[8] N. B. Hartmann et al., "Microplastics as vectors for environmental contaminants: exploring sorption, desorption, and transfer to biota," Integrated environmental assessment and management, vol. 13, no. 3, pp. 488-493, 2017.[9] S. Tang, P. Sun, S. Ma, W. Jin, and Y. Zhao, "The interfacial behaviors of different arsenic species on polyethylene mulching film microplastics: Roles of the plastic additives," Journal of Hazardous Materials, vol. 442, p. 130037, 2023.[10] M. P. Jayalakshmamma et al., "Removal of hydrocarbons from heterogenous soil using
the Department of Engineering Education at Virginia Tech. She received her B.Sc. in Aerospace Engineering from the University of Oklahoma and her M.Sc. in Aerospace Engineering at Virginia Tech. Her research interests are focused on teaching and assessment for conceptual understanding, curriculum development for the middle years, and student cultural competencies. ©American Society for Engineering Education, 2024 Using Systemic Functional Linguistics (SFL) to create an Observation Protocol for Introductory Engineering CoursesIntroductionQualitative research often relies on observational data to understand complex phenomena withintheir natural contexts. Observation
. Web Accessed 3/24/24.[3] B. Kort, R. Reilly, and R.W. Picard. “An affective model of interplay between emotions and learning: Reengineering educational pedagogy-building a learning companion.” In Proceedings IEEE international conference on advanced learning technologies. pp. 43-46, August 2001.[4] J. Borders, G. Klein and R. Besuijen. “An operational account of mental models: A pilot study.” In the International Conference on Naturalistic Decision Making. 2019[5] Y-Y. Tan and S-L. Yang. “Assessing student calculus learning using the Mental Model Matrix.” Poster presented at the AAC&U Conference on General Education, Pedagogy, and Assessment From Reflection to Imagination: Making Excellence the “NEW Normal”, San Diego
. While the lecture contentsdiffer, the drill sections are the same for all courses. During the drills, we partner with otherCollege of Engineering units to focus on major selection, academic coaching, student successand professional development skills.On average, 40% of incoming first-year engineering students are a part of the Honors College.Over 95% of these honors students choose to take the Honors version of the Introduction toEngineering I course. Honors and regular students in the Introduction to Engineering courseshave been integrated into the same sections, attending identical lectures, completing identicalassignments, and undergoing the same assessments. Honors students, however, are tasked withadditional coursework to earn honors
its development.As stated previously, the purpose of this study has been to quantify the potential benefit ofintroducing an integrated DE environment into an engineering curriculum. We have notconsidered whether it would be practical to actually realize these capabilities. As we progressthrough the development of the DEF, it will be important to consider the practical considerationsof supporting any particular KSAB, and how it can be realized through specific course contentand teaching.Future work will focus on assessing the DECF competencies with respect to these practicalconsiderations as well, and will ultimately assess which of the DECF competencies have actuallybeen realized by the implementation of the DEF.ConclusionIn this paper, we
be effective teachers and the free search for truth and its free scholars expression. 1. Fairness/consistency in course policies Faculty members are responsible4. Grading should be Professors ... ensure that 2. Assessments to identify for informing students in their based on merit
course, withparticipation in these sessions contributing to the students' final course grades. This paperexplores the extension of the peer mentoring program to transfer students enrolled in an eight-week online Introduction to Engineering Course beginning in the fall of 2023. It summarizes thebenefits gained by these students as participants in the program, shedding light on the potentialpositive impact of this initiative.IntroductionThe importance of student retention and timely graduation rates in higher education is a criticalaspect that significantly influences the success and reputation of higher education institutions.National rankings often consider graduation rates in their assessments. Institutions with highgraduation rates are more
problems. Figure 5. Student responses regarding their prior experience with electrical circuits. Figure 6. Student responses regarding their programming skills.4.1 Self-assessment of effectivenessTinkercad was first introduced in our introductory classes in China followed by its introductionat PSU in the 2023-24 academic year. An obvious question is if students find Tinkercad usefuland to this end we devised a simple end-of-the-term survey asking the following seven questions,starting with “Tinkercad is … “: 1. easy to learn 2. useful for improving my understanding of circuits 3. useful to prepare for labs (we didn’t do this, but would it be useful to do a Tinkercad simulation before performing a lab?) 4
class grade) that its impact is small. The overall class experienceremains very traditional: largely lecture-based, and exams based on an extensive library of pastexams given by both instructors.Conclusion and Future WorkIn this paper, we discussed developing an online module to help teach 3D equilibrium in a staticsclass. This module is part of a more extensive software that provides additional exercisescovering nearly all statics topics. Each semester, one or two statics sections are assigned theonline problems as part of their homework assignment, and one section is assigned a traditionalhomework out of the class textbook. All sections are taught by the same instructor. They’regiven surveys to assess informally how they feel about the
: ◦ Enable faculty to acquire new knowledge and skills in order to revise their curricula and teaching practices ◦ Involve a diverse group of faculty Assessing and Evaluating Student Achievement: ◦ Develop and disseminate valid and reliable tests of STEM knowledge ◦ Collect, synthesize, and interpret information about student understanding, reasoning, practical skills, interests, attitudes or other valued outcomes ◦ Conducting Research on Undergraduate STEM Education: ◦ Explore how Effective teaching strategies and curricula enhance learning and attitudes, Widespread practices have diffused through the community Faculty and programs
engineeringdesign process. Three subsequent lessons help students to learn more about the focal field ofengineering, engage children in science and engineering experiments that can inform theirdesigns, and culminate in pupils applying the engineering design process to solve the samechallenge as the story’s protagonist. Unit materials include teacher lesson plans, backgroundinformation, student worksheets, and assessments. The EiE project has reached over 1.7 millionstudents and 22,000 teachers in all 50 states to date. (Visit www.mos.org/EiE for moreinformation about the EiE curriculum.)From its inception, a number of principles guided the development of EiE. Core among thesewas that the curriculum interest and engage all students, particularly those who
bench marking, experimentaldesigns for assessing design solutions, use of appropriate statistical models, learning fromfailure, or using machining tools. In one design challenge, for example, students fabricate asimple structure using only squares and equilateral triangle shaped pieces with one demonstrablefunction that can be measured.IntroductionMany types of design challenges have been used in various formal and informal educationalsettings. Design challenges have been implemented modularly in K-12 classrooms that led togains in student learning of science, mathematics and engineering concepts,1-2 and to a decreasein achievement gaps between some demographic groups.3 A number of studies comparing atraditional teaching model to one with
within engineering also have concepts that are highly interconnected.For example control theory has several types of controllers (PI, lead…), domains (continuoustime, discrete time, Laplace, Z…), techniques (root locus, Nyquist, Bode), that could berepresented, along with their associations, by a topic map.As the map is deployed in a Linear Systems course, students learning will be assessed as towhether the topic map helped in learning the material, and whether they have a better grasp ofthe “big picture.”The map discussed in this paper is available athttp://www.swarthmore.edu/NatSci/echeeve1/Ref/LPSA/TM/tmExplore/index.html?LPSA#t_lpsahome.References[1] Taxonomy of Educational Objectives, Handbook I: The Cognitive Domain, Bloom, David McKay Co
the winDSK software program that was necessaryto support this new OMAP-L138 eXperimenter Kit. Specifically, winDSK8 is the latest versionof winDSK that was developed to access the C6748 DSP core within the OMAP-L138 SoC usingthe ARM9 core as the communication interface. This not only allows professors and students easyaccess to higher performance DSP computing power, but also provides an excellent opportunity tointroduce the concept of multi-core devices and system-on-chip designs in a practical way. Thiscombination of winDSK8 and the OMAP-L138 eXperimenter Kit is just now available, so nodetailed assessment of its use in the classroom yet exists. However, this paper is intended to alerteducators to the pedagogical possibilities inherent in
Proceedings), 85(2), 101-112.13. Senior, B. A., (2008), “Correlation between absences and final grades in a college course,” Proceedings of the 44th Annual Conference of the Associated Schools of Construction, Auburn, Alabama, April 2-6, 2008, on CD- ROM.14. Bransford, J. D., Brown, A. L., & Cocking, R. R., (eds.), (1999), “How people learn: Brain, mind, experience, and school”, National Academy Press, Washington, D. C., Chap. 3, 39-66.15. Freeman, M. & McKenzie, J., (2001), “Aligning peer assessment with peer learning for large classes: the case for an online self and peer assessment system,” in Peer Learning in Higher Education, Boud, D., Cohen, R., & Sampson, J. (eds.), Kogan Page Ltd., London, Chap. 11
AC 2011-1143: TEACHING DIGITAL LOGIC DESIGN USING THE GOAL(GUIDED ON-DEMAND ADAPTIVE LEARNING) SYSTEMProf. Ronald D. Williams, University of VirginiaJoanne Bechta Dugan, University of Virginia Joanne Bechta Dugan is Professor of Electrical and Computer Engineering and the Director of the Com- puter Engineering Program at the University of Virginia. Her research focuses on probabilistic assess- ment of the dependability of computer-based systems. She has developed the Dynamic Fault Tree model, which extends the applicability of fault tree analysis to computer systems. Her research interests include hardware and software reliability engineering, dependable computing, system health management and mathematical modeling
lessonslearned thus far. The paper will also discuss how department alumni can be essential partners inthis process both in terms of identifying projects, and in assessing student strengths andweaknesses. Final conclusions will be offered that may be beneficial to other EngineeringManagement programs.Introduction and BackgroundEngineering Management as a discipline at the Missouri University of Science and Technologyhas followed somewhat of a unique path, championed by Professor Bernie Sarchet. This pathbegan in the mid 1960’s when the program was originally housed outside of the school ofengineering. However, Professor Sarchet saw the need to develop the degree into one whichcould be accredited and allow graduates of the program to pursue professional
patents in the biomedical area.Howard S. Kimmel, New Jersey Institute of Technology Dr. Kimmel is Professor of Chemical Engineering at New Jersey Institute of Technology in Newark, NJ, and Associate Vice President for Academic Affairs. He has been Executive Driector for the Center for Pre-College Programs at NJIT for over 30 years. Dr. Kimmel has had numerous NSF grants and State grants focusing on professional development, curriculum, and assessment. In addition, he is a member of the assessment committee for Chemical Engineering.John D. Carpinelli, New Jersey Institute of Technology JOHN D. CARPINELLI is a Professor of Electrical and Computer Engineering and Director of the Center for Pre-College Programs at the New
technology development in a skunkworksmode. Typical projects support clients in the Medical Device, Consumer Electronics, SportingGoods, and Aerospace industries, and include: • Software Development • Cytotoxicity/Materials Evaluation Services • Process Automation • Competitive Technology Literature Assessments • Technology Demonstration Prototypes • Solid Modeling + Design & Prototyping • Statistics & Research Data Analysis • Physical and Computer Simulation SystemsProof of Concept, LLC as a Source of Multidisciplinary Student ProjectsProof of Concept, LLC is first and foremost an entrepreneurial venture, started and operated withthe goal of making a profit. That
because of light rain. Due to the rigidity of the classschedule, postponement of the launch was not an option. It is suspected that the impact ofraindrops made a large contribution toward suppressing the height attained by the rockets onthose particular days.Since the number of credit hours associated with the Instrumentation Lab class is only two, theonly assessment included as part of the course is the grading of the lab reports and the pre-labcalculations. With no final examination applicable to the class, the assessment of studentlearning for the rocket project is somewhat limited to a subjective analysis of the projectcalculations and written reports submitted by the students. As noted previously, most of thelaboratory techniques used in the
engineers actually do. • Students were engaged in the simulation and were invested in the outcomes of their virtual projects.Furthermore, the interviews queried engineering knowledge and skill to assess development ofskills and knowledge during Nephrotex; these results are reported in Ref. 20.Intentions to Major in EngineeringAfter playing Nephrotex, 71% of students reported that they were committed to pursuingengineering as a career choice. Students explicitly stated that the internship influenced theirdecision to continue with a career in engineering now that they have a better understanding of thefield, and some claimed that the experience would be a valuable reference for future internshipsand professional experiences. For example
following questions might be posed: 1. When is qualitative research appropriate? 2. How is qualitative research done well and how is qualitative data analysed? 3. How is adequacy assessed? 4. Can you provide an example of qualitative research in engineering? Page 22.1207.41. When is Qualitative Research appropriate?Qualitative research is often exploratory; it is useful when it is necessary to investigatehuman behaviour or why something has happened or not happened in a building orelsewhere, or to find out how well or otherwise something performed but for whichquantitative data does not offer a complete picture. It is particularly
with the intent to expand and sponsor multiple teams.OutlineIntroduction and BackgroundThe paper presents a Youth Engineering and Technology Inspirations, Inc. (YETI) and CentralPiedmont Community College (CPCC) initiative designed to host a US FIRST Robotics Teamwhile providing learning modules based on constructionism theory and then assessing three ofthe four categories outlined in Making a Successful Engineering Student20, 22.“The varsity sport for the mind3,” FRC combines the excitement of sport with the rigors ofscience and technology. Under strict rules, limited resources, and time limits, teams of 25students or more are challenged to raise funds, design a team brand, hone teamwork skills, and
Page 22.1559.6a template for developing an answer to the question of what statistical knowledge is appropriateto those objectives. By starting with the range of statistical applications their graduates willencounter in practice, engineering schools can work backwards to determine the skills needed atgraduation and the topics covered in various classes. This is very different from simply requiringa statistics class and hoping that the right topics are covered. Faculty should be able to trace thestatistical topics covered in their curriculum back to skills needed by their graduates and programevaluators should look for such linkages. Of course, graduates will vary in their statisticalabilities and this complicates the problem of assessment
Engineers (PECASE) awards for her engineering education research. Dr. Borrego has developed and taught graduate level courses in engi- neering education research methods and assessment from 2005-2010. All of Dr. Borrego’s degrees are in Materials Science and Engineering. Her M.S. and Ph.D. are from Stanford University, and her B.S. is from University of Wisconsin-Madison.Alexander Leonessa, Virginia Tech Page 22.499.1 c American Society for Engineering Education, 2011 Differences between Student and Faculty Expectations for a Robotics Capstone Design
of which weren’t difficult. The only place in the whole software design thatrequired changing was the filter portion of it.” However, to date, no systematic assessment hasbeen done. This needs to be the next step in this development. Since the Signals and Systemscourse does not have an associated lab, this experiment will be presented as an extendedhomework problem. At the University of St. Thomas School of Engineering, our studentsregularly have access to all electronics lab facilities and thus this is not expected to be a majorobstacle.ConclusionWe have described a development system that would allow a student who had successfullycompleted an introductory digital design course to design, develop and perform hardwaredemonstrations of
element methods and has interests in remote laboratories, project-based learning and student learning assessment. His research is in the areas of remote sensing and control with applications to remote experimentation as well as modeling of microstructure changes in metal forming processes. He publishes regularly in peer-reviewed conference proceedings and scientific journals. At the 2006 ASEE Annual Conference and Exposition in Chicago, USA, he received the Best Paper Award for his article ’A Virtual Laboratory on Fluid Mechanics’.Dr. Constantin Chassapis, Stevens Institute of Technology Page 22.527.1
. Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D. and Mercer, R., 2009, “The Wright State Model for Engineering Mathematics Education: A Nationwide Adoption, Assessment and Evaluation,” Proceedings 2009 ASEE Annual Conference & Exposition, Austin, TX, June, 2009. 3. Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D., Mercer, R., Kukreti, A. and Randolph, B., 2008, “the WSU Model for Engineering Mathematics Education: A Multiyear Assessment and Expansion to Collaborating Institutions,” Proceedings 2008 ASEE Annual Conference & Exposition, Pittsburgh, PA, June, 2008. 4. Klingbeil, N., Rattan, K., Raymer, M., Reynolds, D., Mercer, R., Kukreti, A. and Randolph, B., 2008 “A National Model for
actuallycontained P-3 level content. None of the websites were aligned to any specific curriculum oreducational standards, none of the materials showed evidence of having been assessed or fieldtested, and none of the materials contained classroom assessment materials.TurkishEngineering education in Turkey has recently received attention from both the academiccommunity and industry. The first academic engineering education conference was gathered in2010 (International Engineering Education Conference). This conference encompassed mostareas of engineering, but very little material (papers, workshops, panels) was on K-12 or pre-school related. A review of the conference proceedings revealed that only one workshop wasfocused on elementary education9. The focus
) Select a baseline alternative 4) Compare the alternatives 5) “Attack the negatives” 6) Assess and repeatThe criteria are used to compare the different concepts and are often generated from the list ofspecifications for the project or the interpreted needs contained in the house of quality 5.Although a design team may be able to generate many potential criteria, experiencedpractitioners try to identify the critical criterion that will highlight the important differencesbetween the alternatives concepts. Next, the design team must reach a consensus on theconceptual designs to consider. For this method, a conceptual design is a complete solution tothe problem. The visual representations of each concept must be at