gained increased popularity in engineering education.The functionality of simulating paper and pencil by allowing the user to use a stylus and writedirectly on the computer screen to create electronic documents that can be easily edited usingcommonly available computer applications makes Tablet PCs more suitable than laptopcomputers in solving and analyzing problems that require sketches, diagrams, and mathematicalformulas. Combined with wireless networking technology, Tablet PCs have the potential toprovide an ideal venue for applying previously proven collaborative teaching and learningtechniques commonly used in smaller engineering laboratory and discussion sessions to a larger,more traditional lecture setting. Currently, the range of use of
papers in referred journals and in conference proceedings in his areas of the research interests. He has also been PI or co-PI for various research projects United States and abroad in power systems analysis and protection, load and energy demand forecasting and analysis, renewable energy analysis, assessment and design, turbulence and wave propagation, radar and remote sensing, instrumentation, atmosphere physics, electromagnetic compatibility, and engineering education.Dr. Michael G Mauk P.E., Drexel UniversityMr. M. Eric Carr, Drexel University Mr. Eric Carr is currently the Laboratory Technician for Drexel University’s Engineering Technology program. Eric assists faculty members with the development and
devise implementation plans for theirown classrooms. During the second week, each teacher was invited to bring two students toparticipate in a teaching laboratory, with the teachers teaching the modules in a highly supportedenvironment, surrounded by SENSE IT staff (see Figure 4). This opportunity to implement thematerials with students gave the teachers an opportunity to review the materials again and to seehow they worked with students. They found this a very effective approach, both in terms of theamount of additional time they were able to spend with the curriculum and in terms of howseeing their own students work through the modules increased their own confidence in theirability to teach the SENSE IT modules to entire classes.The
for Improving Page 23.1161.13Human Effectiveness for Extreme-Scale Problem Solving: Assessing the Effectiveness of Electronic Brainstormingin an Industrial Setting,” SAND2008-5971, Sandia National Laboratories, September 2008.21. Kohn, N.W., P.B. Paulus, & Y. Choi, “Building on the Ideas of Others: An Examination of the IdeaCombination Process,” Journal of Experimental Social Psychology, 47, 2011, pp. 554-561.22. Putman, V.L., & P.B. Paulus, “Brainstorming, Brainstorming Rules and Decision Making,” Journal of CreativeBehavior, 43, 2009, pp. 23−39.23. Rietzschel, E.F., B.A. Nijstad, & W. Stroebe, “Productivity is Not
, 2004.40. Glenn, D., “Close the Book. Recall. Write it Down”, The Chronicle of Higher Education, May 1, 2009.41. McDaniel, M., Roediger, H., and McDermott, K., “Generalizing Test-Enhanced Learning From the Laboratory to the Classroom”, Psychonomic Bulletin and Review, Vol. 14, No. 2, 2007, pp. 200-20642. Klionsky, D., “The Quiz Factor”, Letter to the Editor, CBE Life Sciences Education, American Society for Cell Biology, Vol. 7, No. (3), 2008, pp. 265-266.43. Karpicke, J. and Roediger, “The Critical Importance of Retrieval for Learning”, Science, 15 february 2009, Vol. 319, No. 5865, pp. 966-968.44. Cutrim, E., Rudge, D., Kits, K., Mitchell, J. and Nogueira, R., “Changing Teaching Techniques and Adapting New Technologies to Improve
Paper ID #7553The Impact of Inclusive Excellence Programs on the Development of Engi-neering Identity among First-Year Underrepresented StudentsDr. Daniel Knight, University of Colorado, Boulder Daniel W. Knight is the engineering assessment specialist at the Integrated Teaching and Learning Pro- gram and Laboratory. He holds a BA in psychology from Louisiana State University, and an MS degree in industrial/organizational psychology and PhD degree in counseling psychology, both from the University of Tennessee. Prior to joining the University of Colorado at Boulder, he gained extensive experience in assessment and
expertise (for example through more detailed analysis or currentevents).Faculty can use class time for any number of activities without worrying about covering content.With the content removed from the class time, faculty can use that class time for more engagingactivities. This could include projects, guest speakers, field trips, laboratory experiments ordemonstrations.Class can be better organized without concern about not covering enough material in class. In atraditional lecture format the material must fit within the class time. If not, the schedule (e.g.dates for homework assignments, quizzes, exams) needs to be re-arranged. With a flippedcourse the pre-class material does not need to conform to a specific time frame.Learning becomes student
didn’t undertake anykind of training.MethodologyThe training was performed in the Graphic Design laboratory. The aim was to obtain data aboutthe improvement of spatial ability in the groups using the three methodologies and to find outfrom the feedback of students their motivation and satisfaction.The study was performed at the beginning of the 2011/12 academic year, so when they undertookthis task these students had not attended any kind of Engineering Graphics classes previously.The spatial abilities of engineering students were measured before and after training using boththe Mental Rotation Test (MRT) and the Differential Aptitude Test (DAT-5:SR). Besides, uponcompletion of training, the students completed two surveys about their
section which deals with programming robots. Managed a laboratory, which allowed students Page 23.1261.1 to complete experiments. AT&T Broadband, Pittsburgh Penn., May 2000 to Dec. 2002, Head end Tech- nician, responsible for all aspects of high speed data, telephony and cable operations, hybrid fiber to coax transmissions, programming in Visual Basic, C++, Java scripting, and M.S. Office. Experience with systems such as Cheetah, Path Tracks, and Cornerstone. Access Bandwidth Technician, responsible for c American Society for Engineering Education, 2013
process from the need to prototype in an open-ended environment working in teams. Problems are presented that Page 23.1263.3 allow students to define, build, and test the solutions. • Engineering Applications in Math: Students are introduced to salient math topics presented within the context of their engineering application reinforced through hands-on laboratory or computer simulation assignments. • Models and Applications in Physical Sciences: Physical science and lab modules are used to understand the importance of modeling and math in discovering principles of physics and chemistry. Elective
been met. This evidence can include term papers, tests,laboratory reports, homework or other class assignments, presentations given, and letters fromemployers or professors. The ITA is the most significant aspect of ensuring that programoutcomes are achieved by all graduates.The student must satisfactorily address each program outcome by developing appropriatelearning statements and providing supporting evidence. The learning statements for eachprogram outcome are graded on the following scale: 0 – Not Responsive to Outcome (Evidence not provided for relevant courses or experiences. Coursework and other examples not demonstrative of required knowledge. The student will need to improve the learning statement and/or supporting
to class journal articles, pictures, and otherexamples of ancient technologies. Page 23.1335.13Once again, it became apparent that some form of laboratory project or exercise would beappropriate for this course. However, not all of the students have the time, training, and skillsrequired to recreate ancient artifacts. In addition, it is extremely difficult to incorporate alaboratory project or exercise into a lecture only course. That is why it is so important tocontinue to discover and implement new and interesting ways to bring ancient artifacts into theclassroom. This has been accomplished with great success in the past and will likely
, "Characterising collaboration: Reflflecting on a partnership between academic support staff and lecturers to help university students learn how to write for the discipline of chemistry," Journal of University Teaching & Learning Practice, vol. 18, no. 7, pp. 41-53, 2021.Using Tutor-led Support to Enhance Engineering Student Writing for All[11] K. Riegel, "A Scaffolded Approach to Laboratory Report Writing for Non-Major and Introductory Physics Classes," Physics Teacher, vol. 59, no. 6, pp. 488-490, 2021.[12] H. Zhang and Y. Li, "Integrating active learning activities and metacognition into STEM writing courses," Advances in Physiology Education, vol. 45, no. 4, p. 902–907, 2021.[13] S. Dinitz and S. Harrington, "The Role of
Applied Analytics Laboratory. Fall 2024 ASEE Middle Atlantic Section Conference, Farmingdale, New York, USA, October 25-26 Zhang, Z., Chang, Y.[41] Rane, N., Choudhary, S. & Rane, J., 2023, “Integrating Building Information Modelling (BIM) with ChatGPT, Bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and fu- ture scope. Bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and future scope”, (November 22, 2023).[42] Dwivedi, Y.K., Kshetri, N., Hughes, L
and Discussion,” Comput. Sci. Educ., vol. 13, no. 2, pp. 137–172, Jun. 2003, doi: 10.1076/csed.13.2.137.14200.[8] Q. Cao, L. H. I. Lim, V. Dale, and N. Tasler, “EXPERIENCES IN PYTHON PROGRAMMING LABORATORY FOR CIVIL ENGINEERING STUDENTS WITH ONLINE COLLABORATIVE PROGRAMMING PLATFORM,” presented at the 14th annual International Conference of Education, Research and Innovation, Online Conference, Nov. 2021, pp. 5784–5791. doi: 10.21125/iceri.2021.1305.[9] D. G. Balreira, T. L. T. D. Silveira, and J. A. Wickboldt, “Investigating the impact of adopting Python and C languages for introductory engineering programming courses,” Comput. Appl. Eng. Educ., vol. 31, no. 1, pp. 47–62, Jan. 2023, doi
and mentorship in engineeringeducation. One of the current environmental challenges is to reduce the amount of mismanagedor landfilled waste plastics. In this context, this research aims to verify the feasibility of usingone type of waste plastic generated in rural areas, grain bag waste plastics (GBWP), in theproduction of asphalt concrete (AC). Various laboratory tests were conducted to assess theoverall performance of the AC, including the Indirect Tensile Asphalt Cracking Tests (IDEAL-CT) and the Hamburg Wheel Tracking Test (HWTT). ANOVA statistical analysis wasperformed to determine the significance of differences in some of the obtained performance-based parameters. The results showed significant improvements in AC's rutting and
noperfect solution, different universities across the United States, Columbia and Germany haveattempted to improve students' success rate by adopting 42 different interventions. 22 of theseinterventions had a positive impact on the students, 12 had a negative impact on the student’ssuccess, and while 8 were categorized as having no effect on improving the outcomes of thecourse. Examples of these interventions included “the introduction of flipped learning style,writing for conceptual understanding, additional exposure, the use of hands-on laboratories,the incorporation of online resources, constant review of in-class structure by including rapidfeedback or in-class concept checks, [and] the use of supplemental instruction such as the useof peer
expensive physical experimentation ofdifferent options, such as running laboratory experiments to study the effect of different chemicalcompounds or growing different varieties of crops in an agricultural setting. With the advent ofcomputers, many systems can be modeled computationally based on existing foundationalknowledge. Although some computer models are still considered computationally time-consuming, they can explore different options in settings that would not be possible in physicalexperiments. Examples include photochemical air quality simulations and vehicle crashsimulations. In the case of building design, there are existing computer models to help designersstudy the impact of their design without having to physically build it. For our
University of Missouri. As a researcher in the postsecondary ©American Society for Engineering Education, 2024 Paper ID #44078Science, Technology, Engineering, and Mathematics (STEM) education space, Ymbar has focused onexamining STEM culture’s influence on racially and ethnically minoritized students with Dr. Terrell R.Morton and the Justice and Joy Research Team.Currently, Ymbar is conducting research for the National Renewable Energy Laboratory (NREL) andthe Department of Energy (DOE), alongside Andrew Parker and Dr. Greses P´ rez, to enable equity
Paper ID #43201Formula for Success for Interdisciplinary InitiativesDr. Paul Cameron Hungler P.Eng., Dr. Paul Hungler is an assistant professor in the Department of Chemical Engineering and Ingenuity Labs at Queenˆa C™s University. Prior to starting his current position, Major (Retired) Hungler served in the Royal Canadian Airforce. His research is now focDr. Kimia Moozeh, Queen’s University Kimia Moozeh is a research associate at Queen’s university in Engineering Education. Her PhD dissertation at University of Toronto explored improving the learning outcomes of undergraduate laboratories. Her research interests are lab
of network professionals.References[1] E. Lampi, “The Effectiveness of using Virtual Laboratories to Teach Computer NetworkingSkills in Zambia,” Ph.D dissertation, Career and Technical Education, Virginia PolytechnicInstitute and State University, Blacksburg, VA, USA, 2013. [Online]. Available:https://www.proquest.com/docview/1512636920[2] J. Allison, “Simulation-based learning via Cisco Packet Tracer to enhance the teaching ofcomputer networks,” Proceedings of the 27th ACM Conference on Innovation and Technology inComputer Science Education Vol. 1, Jul. 2022. doi:10.1145/3502718.3524739[3] S. Asadi, J. Allison, M. Khurana, and M. Nilashi, “Simulation-based learning for computerand networking teaching: A systematic literature review and
. T. (2013). Differentiated overt learning activities for effective instruction in engineering classrooms. Journal of Engineering Education, 102(3), 346-374.[12] McAfee, M., Armstrong, P., & Cunningham, G. (2009). Achieving Effective Learning in Engineering Laboratory Classes. In 5th International CDIO Conference, Singapore Polytechnic, Singapore. http://cdio. org/files/document/file D (Vol. 6).[13] Springer, L., Stanne, M. E., & Donovan, S. S. (1999). Effects of small-group learning on undergraduates in science, mathematics, engineering, and technology: A meta- analysis. Review of educational research, 69(1), 21-51.[14] Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014
Concludes Largest Green Roof Plant Study in the United States.” PR Newswire: press release distribution, targeting, monitoring and marketing, July 21, 2015. https://www.prnewswire.com/news-releases/chicago- botanic-garden-concludes-largest-green-roof-plant-study-in-the-united-states- 300115847.html.[5] C. Miller, Stuart Berg, Dr. Robert D. Berghage, Dr. Bra Bass, Tzazna Miranda leal, Shazia Husain, Jordan Richie, Dr. Stuart Gaffin, and Lawrence Berkely National Laboratory, “The Benefits and Challenges of Green Roofs on Public and Commercial Buildings” § (n.d.).[6] S. Ouldboukhitine, Rafik Belarbi, Rabah Djedjig. “Characterization of green roof components: Measurements of thermal and hydrological properties
,experiential learning, particularly through laboratory courses, emerged as their preferred method.Second, a strong emphasis on necessity appeared to drive their data skill development, suggestingstudents may not always actively seek out these opportunities.5.1.1 Experiential LearningThe students primarily saw experiential learning as the key method for developing their data skills.They emphasized the importance of hands-on experience and iterative learning in a community-driven environment, where real-world challenges and collaborative projects serve as thefoundation for developing true data proficiency. MAE students highlighted that individual practicewas a significant factor in developing data proficiency. While not said explicitly, when it comesto
whether or not graduate students are agood fit in their program or laboratory. Ted, a student with ADHD, anxiety and depression,points out that the mindset of faculty advisors is crucial to determining student success in aresearch group, as he says, “Not every advisor knows that people are different and can't just allwork the same way. And then you know, maybe they don't care. Maybe they're just like, if youdon't fit, you don't fit.”Ronnie, a graduate student with obsessive compulsive disorder (OCD), points out the importanceof clear expectations to mitigate confusion and enhance productivity. “I really like environments where I have really clear roles and things to do. And as a graduate student, there's nobody saying you need to
an observation of the cloud conditions above the defined cylinder Create and test a prototype Earth horizon sensor, that will be tested in a laboratory environment while simulating a 4 Remote Sensing specific spectrum of the Earth as seen from simulated altitudes of 250 to 750 km Modify an existing JetCat P90-RXI engine that uses a 5 Propulsion kerosene-oil mixture for both fuel and lubrication to run off gaseous methane as a fuel source Develop a
, recitation periods, and laboratory sessionsincreased retention of or connection to key course concepts [6], [7], [8], [9]. Improving students'conceptual understanding significantly impacted student retention [10].Researchers have developed concept inventories to improve students’ conceptual knowledge ofmechanics topics [11], [12]. More recently researchers have developed targeted problems thatallow them to identify the most common sources of error or misconceptions observed [13], [14],[15], [16]. Each of these researchers categorized the types of errors into buckets such aspreconceived misunderstanding, incomplete understanding, or incorrect understanding [14],factual, procedural, or conceptual [15], and conceptual versus non-conceptual [16].An
).” Thus, it is assumed that participants mainly considered and discussedenvironmental solutions from business perspectives.7. DiscussionParticipants, both Indonesians and Japanese, expressed that they had the most learning effectiveness innon-technical areas such as “Communication (4.43)” and “Individual and Collaborative Team work(4.21)”. This suggests that interactive methods such as group work on real-world challenges were moreeffective compared to traditional passive learning in classrooms or laboratories. Additionally, scoresrelated to consciousness aspects such as “The Engineer and the World (4.00)”, and “Lifelong learning(3.79)” were high. Thus, this PBL led to increased awareness related to its social aspects.On the other hand, despite
concentrated on either academic or industrial side of UIC. In this section, we brieflyelucidate the motivations and the interaction channels of UIC.Motivations of UICThe motivations for universities to involve in UIC are usually different from those for industry.From the academia side, universities are mostly motivated to collaborate with industry tosecure funds for research (Lee,2000), access resources such as equipment, laboratories andemerging techniques (Welsh et al.,2008; Santoro, 2000), advance and complement researchagendas (Perkmann, Markus, & Kathryn,2009), expose both student and faculty with practicalsituations and problems (Ankrah et al.,2013), improve research and teaching via practicalapplication (Arza,2010), as well as enhance
Tutorial for HoloLens 2Each high school involved in this grant project received the following equipment and theirassociated software as well as consumables needed for the equipment: ● 24 IoT kits ● 2 Structure Core 3D Scanners and 4 Apple iPads. ● 1 HoloLens 2 ● 1 VEX V5 Work cell System ● 10 Creality CR-10 FFF 3D printers ● 1 Elegoo Mars SLA 3D printerHopewell High School dedicated one of their classrooms as a digital manufacturing laboratoryafter working with the project team (Figure 3). Figure 3. Digital manufacturing laboratory at the Hopewell High SchoolMultiple training sessions were organized for the high school students and their teachers (Figure4a and b). Student training took place at the high schools, when