(VR) environment will give themrenewed hope for learning success. This paper presents such a development that augments anexisting learning game, Gridlock, with an adaptive learning engine that assesses what reallyhappens when a student’s capacity is sabotaged in problem solving and to provide the help that istailored to his/her needs. The game was deployed in Computer Architecture course at Rowan as areplacement to the traditional laboratory experiments. Its thorough assessment confirms thevalues of the game in promoting student learning.INTRODUCTIONThe fundamental problem with the traditional single-instructor class structure is that a singularteaching method is not always universally effective; not all students learn information the sameway
of Written Communication into Engineering Classes and CurriculaAbstractThe inclusion of writing-based exercises in technical courses has multiple learning benefits tostudents. Writing exercises not only serve to improve students’ written communication skills(i.e., “learn to write”), but can also be leveraged to develop critical thinking skills and promotedeeper understanding of technical concepts (i.e., “write to learn”). Nevertheless, while writing-intensive assignments are relatively common in upper-level technical courses, especially in theform of laboratory and project reports, writing is often absent in the larger, required core coursesthat are taken by large numbers of engineering students. This is a
rates of students at 2-year institutions to 4-year institutions.4,5These programs provide exposure to meaningful applications of basic scientific principles andreinforce knowledge presented in the classroom.This paper describes a Science, Technology, Engineering, and Mathematics Talent ExpansionProgram (STEP) program at a2-year college whereby “outside” classroom instruction via STEMindustry visits and undergraduate research opportunities were provided to program participantsin an effort to increase graduation and transfer rates. During STEM industry visits, programparticipants interacted with STEM professionals, toured STEM industrial research laboratories,learned about cutting-edge technology, and gained information regarding skills that are
students for 21st centurycareers. The resulting report, Phys21, contains key recommendations: incorporating more real-world skills into the curriculum, including applications of physics to commercial problems andproducts; diversifying the skill base in experimental and laboratory equipment, software, andmodeling; incorporating of core workplace skills into the student experience [15].These kinds of professional skills will become increasingly important to the 21st centuryemployer, who is increasingly likely to own a smaller company producing highly specializedtechnologies. This work environment benefits from individuals who can navigate a complexsystem of relationships and are competent in a variety of roles within a company – and thechallenges of
involve the REU participants in the UAV related cutting-edge researchprojects. The UAV Lab at Cal Poly Pomona provides a suitable research environment for theparticipants [1]. References 1 and 2 provide the details on some of the projects that the participantswere involved in. The participants are provided with an opportunity to gain knowledge on theapplication of engineering and computer science to UAV technologies, acquire skills necessary toconduct meaningful research, understand research process, and learn laboratory techniques. Inmost cases, the participants tested the algorithms they developed in simulation and flight tests. Forexample, Figure 1 shows the concept of operation for the obstacle detection and avoidance usingoptical flow for a
of the Department of Chemical & Environmental Engineering (ChEE) and the Program in Applied Mathematics at the UA. Baygents joined the UA engineering faculty as an Assistant Professor in 1991, the same year he received a Ph.D. in chemical engineering from Prince- ton University. He also holds an M.A. (Princeton, 1981) and a B.S. (Rice, 1980) in chemical engineering. For three years prior to joining the UA, Baygents was a Visiting Scientist, then a Research Fellow, at the Space Science Laboratory of the NASA Marshall Space Flight Center in Huntsville, Ala. In 1995, he received the Arizona Mortar Board Senior Honor Society award for outstanding faculty service. In 1997, he was awarded an International Research
) Type 2 project (DUE 1065486) founded on a precursor NSF Page 23.651.2Course, Curriculum and Laboratory Improvement (CCLI) Type 1 project, Inventory ofEvaluation Tools for Engineering Education Projects. The Inventory project (a) established theneed for a readily available repository of high quality evaluation tools to support evaluation ofengineering education projects, (b) identified some of the tools and characteristics that may bevaluable for an evaluation tools database, and (c) identified potential user groups who couldbenefit from an engineering education evaluation tools database. As part of the precursor project,a panel of national
student learning in virtual Page 23.837.1 laboratories. Debra has an M.BA, an M.S., and four 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. She also has interests in the diffusion of effective educational interventions and practices. c American Society for Engineering Education, 2013 Paper ID #7863Dr. Cindy Waters, North
Lathe, Milling Manufacturing Laboratory Nanosensors Scheduling Verification Qualitiy Control Documentation and Project Management Data Management Management
acknowledge the support of the National Science Foundation throughthe Course, Curriculum, and Laboratory Improvement program (DUE-0942270).References1. B. Obama, “Remarks by the President at Cree, Inc,” Speech presented at Cree, Inc., Durham, North Carolina, 2011.2. R. Felder, G. Felder, M. Mauney, C. Hamrin, E. Dietz, “A Longitudinal Study of Engineering Student Retention. III. Gender Differences in Student Performance and Attitudes,” Journal of Engineering Education, Vol. 84, No. 2, 1995, pp. 151–163.3. E. Seymour, H. Hewitt, Talking about Leaving: Why Undergraduates Leave the Sciences, Boulder, Colo.,: Westview Press, 1997.4. P. Daempfle, “An Analysis of the High Attrition Rates Among First Year College Science
, and design and evaluation of learning environments informed by the How People Learn framework.Dr. Xiaobo Peng, Prairie View A&M UniversityMiss Lauralee Mariel Valverde, Texas A&M UniversityMr. Prentiss Dwight McGary, Prairie View A&M UniversityDr. Michael Johnson, Texas A&M University Dr. Michael D. Johnson is an assistant professor in the Department of Engineering Technology and Indus- trial Distribution at Texas A&M University. Prior to joining the faculty at Texas A&M, he was a senior product development engineer at the 3M Corporate Research Laboratory in St. Paul, Minnesota. He re- ceived his B.S. in Mechanical Engineering from Michigan State University and his S.M. and Ph.D. from the
, andother cross disciplinary concepts. Students will gain hands-on experience with engineeringdesign, and will understand the value of collecting data to support conclusions. 5. Test your mettle:What are the “passing” criteria? What is the range of motion for a human arm? What can bepredicted using mathematical models? How do the predictions compare to the experimentalresults? What conclusions can be drawn from the data? What improvements could be made?Laboratory work associated with test your mettle includes the following: a. Construction of the bionic arm Students will bolt muscles to large wooden dowels that will serve as the bone structure for the bionic arms. The dowel rods will be connected using a clovis hinge which will serve as
module helps students physically visualize the process to better understand thedirectionality and magnitude of the force components and the moments generated.Guided Discovery is a novel methodology that borrows aspects of challenge-based instructionand discovery learning. The method is designed to facilitate students’ paths to discovery of keyconcepts that are often misinterpreted or not readily mastered. The method is optimized forshort, in-class activities. It is a low-cost, active-learning method intended to bring laboratory-like experiences into the classroom to improve concept mastery and elucidate commonmisconceptions. The intent is to target concepts that students commonly fail to master and thatnegatively impact learning outcomes in
the vehicles with the highest sales figures were done elsewhere.In fact, less than 10% of hybrid-electric vehicle sales went to US manufacturers in the years2005–20098. To regain the lead in such cutting-edge technologies, US engineering students mustbecome more proficient in the kind of multidisciplinary design that created hybrid-electricvehicles.The hybrid-electric powertrain project is divided into six discrete modules, each of which can becompleted in a few regularly-scheduled laboratory periods. A simplified diagram of a hybridpowertrain is shown in Figure 1. The powertrain is very similar to the one used in a first-generation Toyota Prius. In this design, power is supplied to a load using an air motor andmotor/generator. The
implement the same concept. The system has two tachometers (based on Hall-effect sensors) which measure the speed of the air engine and electric motor. Overall control ofthe system is achieved using a microcontroller, in this case an Arduino UNO. Finally, the systemhas a “load box” with the aim of simulating the up and down grades of a road.Laboratory ImplementationProviding the students with a StationIn order for the students to implement the required control scheme, three laboratory stations havebeen fabricated. The first cohort of students that has undertaken the project have already built allof the components within the HPT, with the exception of the battery pack, load box, electricmotor, generator and solenoid valves. Each station is shared by
AC 2012-4422: USABILITY EVALUATION OF A PROBLEM SOLVINGENVIRONMENT FOR AUTOMATED SYSTEM INTEGRATION EDUCA-TION USING EYE-TRACKINGPunit Deotale, Texas A&M UniversityDr. Sheng-Jen ”Tony” Hsieh, Texas A&M University Dr. Sheng-Jen (”Tony”) Hsieh is a professor in the Dwight Look College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the De- partment of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano man- ufacturing. He is also the Director of the Rockwell Automation Laboratory at Texas A&M
creative ideas.Each participating institution will be equipped with HD capable video cameras, A/D videocapture devices, suitable audio capture equipment, and both professional and consumer-orientedvideo editing and animation software. A single dedicated video editing machine with professional capture and editing hardware(e.g., Matrox RT X2) and software (e.g., Adobe CS5) will be available at each institution, alongwith additional licenses for key software packages (e.g., screen capture with Techsmith SnagItand Camtasia, basic animation) for use on existing laboratory computers. To address the need offacilitating video production, custom training sessions for using this software will also beprovided by one of the investigators (primarily
manipulation of monomials.IntroductionDuring the summer of 2011, the teacher participated in the Texas A&M University-Kingsville(TAMUK) Research Experience for Teachers (RET) project. This involved conducting researchalongside graduate student, Divya Thummelapally, under the supervision of Dr. Reza Nekovei.The research focused on studying and recording various voltages as they pass through carbonnanotubes (CNTs). Since little experimental research had previously been done in this area, theteacher was literally a pioneer. As a mathematics teacher, she had never been a member of aresearch team nor worked long hours in a laboratory. She had no prior knowledge of electricalengineering going into the summer research program and experienced a steep
the market, for which I had to choose between many characteristics such assize of the work-table, number of axles, power, operating system, CAM software, etc. Accordingto the needs of my project and the available budget, the best option was to purchase a ProbotixFireBall V90CNC router. The details of this equipment are described in detail on Appendix C.Heat GunSince shape memory polymers are activated by heat, during the summer an industrial furnacelocated in a TAMUK laboratories was used for the experiments. This can be considered adisadvantage for the Legacy Cycle, especially when experiments need to be performed in theclassroom. However, as an alternative heat source, a heat gun with variable temperature (RyobiHG500) was bought, which
. 36% I know how to support claims with supporting evidence in an academic 32% paper. I can work independently on a research project. 32% I can create a scientific poster presentation. 29% I can instruct others on the components of a research proposal. 29% I am proficient at analyzing data. 29%In both years, fellows showed strong improvement in their ability to collect and analyze data,skills that flowed directly from their laboratory research. Generally, the responses also reflectpositively on the professional
that will be analyzed to determine the efficacy of the tool, and to develop new hints and strategies for helping students. This project plans to use our machine learning system to create, test, and deploy semi-automated hints in a timely manner. Keywords: Computer Science Education, Cybersecurity, Active Learning, Laboratory Expe-rience, Learning Environment, Experience Report, Artificial Intelligence, Machine Learning ©2024 American Society for Engineering Education 1IntroductionEDURange is an open source computer science education platform. It is a joint effort by studentsand faculty at multiple universities. Our primary goal is to develop educational tools
students’ performance in thesubject better. Rangel et al. [39] speculated that a generic growth mindset intervention needsdomain support to change academic performance.RecommendationsThe takeaway message from the literature review so far is that a genuinely effective debuggingeducation intervention must be holistic and domain specific. Holistic means that the interventionshould address both cognitive and affective components. Domain specificity means that anygrowth mindset message should be contextually situated within the subject matter materials.Hence, our next step is to develop a pilot debug training program within the laboratory sessions ofan introductory microelectronic course (Sedra & Smith [41]) at our institution.ConclusionThe
-sponsored collaborative research projects focused on broadening participation in STEM academia. Dr. Mendez’s research centers on the creation of optimal higher education policies and practices that advance faculty careers and student success, as well as the schooling experiences of Mexican-descent youth in the mid-20th century.Dr. Comas Lamar Haynes, Georgia Tech Research Institute Comas Lamar Haynes is a Principal Research Engineer / faculty member of the Georgia Tech Research Institute and Joint Faculty Appointee at the Oak Ridge National Laboratory. His research includes modeling steady state and transient behavior of advanced enDr. Billyde BrownRay Phillips, American Society for Engineering EducationJennifer TygretTaelor
onTechnology for Education (T4E), Warangal, India: IEEE, Dec. 2015, pp. 53–60. doi:10.1109/T4E.2015.2.[4] A. Collins, J. S. Brown, and S. E. Newman, “Cognitive Apprenticeship: Teaching theCrafts of Reading, Writing, and Mathematics,” in Knowing, Learning, and Instruction: Essays inHonor of Robert Glaser, L. Erlbaum Associates, 1989, pp. 453–494.[5] E. Etkina, A. Karelina, M. Ruibal-Villasenor, D. Rosengrant, R. Jordan, and C. E.Hmelo-Silver, “Design and Reflection Help Students Develop Scientific Abilities: Learning inIntroductory Physics Laboratories,” J. Learn. Sci., vol. 19, no. 1, pp. 54–98, Jan. 2010, doi:10.1080/10508400903452876.[6] S. Sheppard and Carnegie Foundation for the Advancement of Teaching, Eds., Educatingengineers
project [14], we employed a longitudinal mixed methods study design toidentify the most common and severe stressors experienced by a cohort of students at oneinstitution. Drawing from the results of Year 1 of study and a review of the literature on graduatestudent stressors, we developed in Year 2 the Stressors for Doctoral Students Questionnaire forEngineering (SDSQ-E) and administered it twice, in fall 2022 [15] and in spring 2023. TheSDSQ-E measures the severity and frequency of stressors including advisor-related stressors,class-taking stressors, research or laboratory stressors, campus life and financial stressors, andidentity-related or microaggression-related stressors. In this update to the final year of ourproject, we will present a high
members of the lab group and attend weekly lab meetings, undergo lab safety training, and learn how to use state-of-the art laboratory equipment (Figure 4). They take data and analyze the results, and they might have to repeat multiple experiments. The research experiences are truly
Paper ID #42858Board 422: What Does It Take to Implement a Semiconductor Curriculumin High School? True Challenges and The Teachers’ PerspectivesAndrew J. Ash, Oklahoma State University Andrew J. Ash is a PhD student in Electrical Engineering in the school of Electrical and Computer Engineering at OSU and he is a research assistant in Dr. John Hu’s Analog VLSI Laboratory. He received his B.S. in Electrical Engineering from Oklahoma Christian University. Andrew’s research interests include hardware security of data converters and engineering curriculum development.James E Stine, Oklahoma State University I am a Professor
, university students are prepared to mentor K-12projects. Projects are conducted during the spring semester and supported by universitylaboratories in the iterative design and integration of laboratory environmental monitoring Pods.High school students engage local community members by monitoring environmental conditionsin local schools, businesses, agricultural settings, homes, and government sites. Communitymembers assist with access to experimental sites, materials, and project promotion. Communitymembers are invited to the symposium. Two mentors will travel monthly to each school in thespring semester and support projects remotely via an on-line curriculum (See Component 2). TheSCENIC projects culminate in a local symposium where students
with all faculty, other Scholars, and high school teachers/students and served the community to better pre- pare the students of the public schools to meet the high standards of the Science, Technology, Engineering, and Mathematics (STEM) disciplines colleges Worked as a liaison between Mathematics and Science departments providing guidance and direct assis- tance to the teachers of Calculus, Math, and Physics to build bridges between subject matters providing a professional learning environment Designed a laboratory manual for the physics course with several hands on activities and increased the science aptitude of teachers by providing some presentations in different science topics which had an immediate and
has secured funding over $3 million from NSF, AFOSR, DOE, DHS, TBR and local industry for research and educational innovations. He has authored and coauthored over 30 technical refereed and non-refereed papers in various conferences, international journal articles, book chapters in research and pedagogical techniques. He is the director of the Cyber Defense and Security Visualization Laboratory (http://cyberviz.tnstate.edu/)Mr. Christopher Joseph Franzwa Page 24.1092.1 c American Society for Engineering Education, 2014 Solaris One – A Serious Game for