: 10.1016/j.compedu.2021.104241.[12] K. Tomej, J. Liburd, B. S. Blichfeldt, and A. M. Hjalager, “Blended and (not so) splendid teaching and learning: Higher education insights from university teachers during the Covid-19 pandemic,” International Journal of Educational Research Open, vol. 3, p. 100144, Jan. 2022, doi: 10.1016/J.IJEDRO.2022.100144.[13] D. Mali and H. Lim, “How do students perceive face-to-face/blended learning as a result of the Covid-19 pandemic?,” The International Journal of Management Education, vol. 19, no. 3, p. 100552, Nov. 2021, doi: 10.1016/J.IJME.2021.100552.[14] V. Ratten, “The post COVID-19 pandemic era: Changes in teaching and learning methods for management educators,” The
returning the shopping cart to the store, a cart attendant may experiencevarying levels of slope in a parking lot: a) zero slope, b) a small positive slope, c) a large positiveslope, d) a small negative slope, and e) a large negative slope. Figure 1: Shopping cart up a hillExample 2: Hiking up a mountainThis example uses personal experience to connect to the concept of slope.A student decides to go hiking up a mountain and experiences varying slopes on his way up(figure 2). The slope changes at different points of the mountain, requiring varying efforts. In thebeginning, the slope is almost zero, followed by a very steep slope which requires more effort toclimb. © American Society for
Production of Knowledge: The Dynamics of Science and Research in Contemporary Societies. 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications Ltd, 2010. doi: 10.4135/9781446221853.[10] S. Laursen, C. Liston, H. Thiry, J. Graf, and B. Schulz, “Article What Good Is a Scientist in the Classroom? Participant Outcomes and Program Design Features for a Short-Duration Science Outreach Intervention in K-12 Classrooms,” 2007, doi: 10.1187/cbe.06.[11] R. C. Tillinghast, D. C. Appel, C. Winsor, and M. Mansouri, “STEM Outreach: A Literature Review and Definition,” in 2020 9th IEEE Integrated STEM Education Conference, ISEC 2020, Institute of Electrical and Electronics Engineers Inc., Aug. 2020. doi: 10.1109
-solving abilities but also better prepares them for the job market and allowsthem to actively participate in the academic community through research paper submissions.References[1] D. Krahl, “EXTENDSIM: A HISTORY OF INNOVATION”.[2] R. R. Nelson and R. N. Langlois, “Industrial innovation policy: lessons from americanhistory,” Science, vol. 219, no. 4586, pp. 814–818, Feb. 1983, doi: 10.1126/science.219.4586.814.[3] B. Godin, Innovation contested: The idea of innovation over the centuries. 2015, p. 353.doi: 10.4324/9781315855608.[4] E. Stal, T. Andreassi, and A. Fujino, “The role of university incubators in stimulatingacademic entrepreneurship,” RAI Rev. Adm. E Inov., vol. 13, no. 2, pp. 89–98, Apr. 2016, doi:10.1016/j.rai.2016.01.004
Interdisciplinary vs. Monodisciplinary Learning,” Sustainability, vol. 13, no. 3, p. 1322, Jan. 2021, doi: 10.3390/su13031322.[6] A. Sudderth, “A Guide for Interdisciplinary Teaching and Learning,” Rethink Together, Jan. 19, 2022. https://xqsuperschool.org/rethinktogether/interdisciplinary-teaching-and-learning/ (accessed Feb. 28, 2022).[7] H. C. Howard, R. E. Levitt, B. C. Paulson, J. G. Pohl, and C. B. Tatum, “Computer Integration: Reducing Fragmentation in AEC Industry,” J. Comput. Civ. Eng., vol. 3, no. 1, pp. 18–32, Jan. 1989, doi: 10.1061/(ASCE)0887-3801(1989)3:1(18).[8] M. N. Mohd Nawi, N. Baluch, and A. Y. Bahauddin, “Impact of Fragmentation Issue in Construction Industry: An Overview,” MATEC Web Conf., vol. 15, p. 01009
Paper ID #37187Rapid Change to Refined Teaching: Lessons Learned and Lasting Impactsthe COVID-19 Pandemic Had on How We Teach EngineeringMs. Boni Frances Yraguen, Georgia Institute of Technology Boni Yraguen is a PhD student at Georgia Tech. Her dissertation work is in the field of combus- tion/thermo./fluids. She studies a novel diesel injection strategy: Ducted Fuel Injection (DFI), which is used to drastically decrease soot emissions during diesel combustion. In addition to her thesis work, Boni is passionate about engineering education. She has led and participated in various educational stud- ies on the impact of
of thesurvey suggest that the students favor using VR technology and value its benefits as a newdesign tool. This work-in-progress paper continues to gather data regarding the effectiveness ofdigital technology in the design process and strives to provide findings to the wider body ofknowledge.References[1] B. Nisha, "The pedagogic value of learning design with virtual reality," Educational Psychology, vol. 39, no. 10, pp. 1233-1254, 2019.[2] "Oxford Dictionaries," Oxford Dictionaries, [Online]. Available: https://www.oxfordlearnersdictionaries.com/us/definition/english.[3] R. Oxman, "Digital architecture as a challenge for design pedagogy: theory, knowledge, models and medium," Design Studies, vol. 29, no. 2, pp. 99-120, 2008.[4] J
, F21 students did not have any practice with mini-lab reports and S22students completed three out of six post-laboratory assignments using mini-lab report format andrequirements. F22 students completed six out of six port-laboratory assignments using mini-labreport format and requirements. Figure 3: Full Lab Report Grade BreakdownStudents in S22 saw an incline in average to above average letter grades (A, B, C). Thesestudents reported feeling prepared for this full laboratory report as they had practice with theirmini-lab reports. The F22 full lab reports continued to show improvement in quality. Asexpected, there was an increase in the amount of A, B, and C letter grades in the full lab reportand there were zero F
writing. The combination of lab activity and writing feedback meeting completion consti-tutes half the lab grade. The other half of the lab grade is based on the writeup of a complete labreport for the three-point bending lab. Before the final grading of this assignment, students havefour feedback meetings on their report and so have plenty of opportunity to make revisions sothe final product is of the highest quality. The second half of the lab grade is based only on thequality of the final report draft, not on previous versions.2.2.6 Types of Writing AssignmentsAs explained previously in section 2.2.3, there are four different types of writing assignments a)report formatting assignments (2 assignments), b) report sections (6 assignments), c
. A. Ambrose, M. W. Bridges, M. DiPietro, M. C. Lovett, M. K. Norman, How LearningWorks: Seven Research-Based Principles for Smart Teaching. Jossey-Bass, 2010.[4] J. P. Dorman, “Using student perceptions to compare actual and preferred classroomenvironment in Queensland schools,” Educational Studies, Volume 34, Issue 4, pp. 299-308,2008.[5] B. J. Fraser, G. J. Anderson, and H. J. Walberg, “Assessment of Learning Environments:Manual for Learning Environment Inventory (LEI) And My Class Inventory (MCI),” ThirdVersion, ED 223 649, TM 820 731, ERIC, February 1982.[6] C. Stasz and Others, “Classrooms that Work: Teaching Generic Skills in Academic andVocational Settings,” National Center for Research in Vocational Education, Berkeley, CA, andRand
Competition Challenge: The TUAH AUVExperience, 2018 In: M. Hassan, (eds) Intelligent Manufacturing & Mechatronics. Lecture Notesin Mechanical Engineering. Springer, Singapore[5] S. Gilbeault, J. D. Iorio, J. D. Santillan, H. Shen and M. Tufenkjian, Practical Application ofRobotics Competition for STEM Education, 2019 ASEE Annual Conference and Exposition,Tampa, Florida, 10.18260/1-2--33181[6] A. Downs, Z. Kootbally, W. Harrison, P. Pilliptchak, B. Antonishek, M. Aksu, C. Schlenoffand S. K. Bupta, Assessing Industrial Robot Agility through International Competitions,Robotics and Computer-Integrating Manufacturing, Vol 70, 2021, 102113[7] C. R. Walker, Teaching Engineering Through the use of a Student UAS Competition, 2016ASEE Annual Conference and
pressabout Tesla. These are not just technical issues, but ethical violations have been reported as well.A simple Google search can help one find these news items. Students were asked to researchsome of these articles and analyze Tesla’s vehicle electrification effort through the Design Justicelens using answers to the following questions as guides: Who do you think created the originaldesign? Who benefitted/benefits from it? Who were/would be harmed from it? What designjustice principles are being violated, if any?Upon completion of the above tasks, all students were asked to reflect on what they learned byanswering the questions: a. What are some things you learned about Design Justice? b. Name at least three new things you
experience. These evaluations tend toinclude both numerical (Likert scale) and open-ended written feedback, although thoroughanalyses of written feedback are rare due to the lack of methods to rigorously analyze the largeamount of content with a teaching-specific lens. In this paper, we create a comprehensive lexiconto measure eight teaching qualities from the written feedback using a combination of naturallanguage processing (NLP) and manual filtering. We refer to this lexicon as “Lexicon forEvaluation of Education Quality” (LEEQ). We then validate LEEQ by analyzing how thefrequency of words in each dimension is correlated with (a) numerical ratings and (b) otherdimensions. Finally, we compare it with other sentiment analysis tools that are less
group and project-based activities at university," in "Research project into the international student experience in the UK (2018-19)," UK Council for International Student Affairs (UKCISA), 2020. Accessed: April 2023. [Online]. Available: https://ukcisa.org.uk/Research--Policy/Resource-bank/resources/197/International- students-working-in-group-and-project-based-activities-at-university[9] M. B. Marks and A. H. O’Connor, "Understanding Students’ Attitudes About Group Work: What Does This Suggest for Instructors of Business?," Journal of Education for Business, vol. 88, no. 3, pp. 147-158, 2013, doi: 10.1080/08832323.2012.664579.[10] V. Rousseau, C. Aubé, and A. Savoie, "Teamwork Behaviors: A
role of hip-hop celebrities in constructing racial identity on Black Twitter," Information, Communication & Society, vol. 22, no. 3, pp. 352-368, 2019.[3] M. Randle and S. Dolnicar, "Does Cultural Background Affect Volunteering Behavior?," Journal of Nonprofit and Public Sector Marketing, vol. 21, no. 2, pp. 225-247, 2009.[4] S. A. Amponsah‐Afuwape, L. B. Myers and S. P. Newman, "Cognitive predictors of ethnic minorities' blood donation intention," Psychology, Health & Medicine, pp. 357-361, 2002.[5] J. A. Youngman and C. Egelhoff, "Best practices in recruiting and persistence of underrepresented minorities in engineering: a 2002 snapshot.," 33rd Annual Frontiers in Education, vol. 2, pp. F2D-11, 2003.[6] E. R
andApplying Knowledge to Contemporary Global Context. Refer to Figure 2(b) for details. (a) (b) Figure 2: Bar graph for item frequency by relevance for each item (a) pre-test and (b) post-test.Activities that triggered the relevance of an item were class activities, course content, desire toimprove their professional skills, immigration, curiosity, global challenges, feelings ofinadequacy, real word engineering activity, international academic experience, moving to a newcity, religious engagement, job hunt, socialization, and volunteering opportunities. Finally, goalsset by students include volunteering, learning about global systems that contribute to a
summer camp characteristics (modality, duration,and measured impacts) from 1998 – 2017.Research MethodologyThe research team used three stages of research for this study: sample selection, parameterdevelopment, and descriptive statistical analysis. The team selected a sample of articles foranalysis, guided by predetermined factors, including: a) publishing dates between 1998 – 2017;b) publication in ASEE as it is one of the most prominent education avenues. From a pool of 729identified articles, the research team randomly selected 24 articles relevant to 38 summer campsconducted within the US.In the second stage, the researchers developed a comprehensive list of twelve parameters,including "population, race, gender, age, targeted population
model and its guiding propositions.We developed 11 propositions grouped into five categories, which informed our development ofa conceptual model of student navigation of the engineering learning environment. Thepropositions work together to contextualize student navigation. For example, one of thepropositions is Student decisions are mediated by characteristics they have upon entering thelearning environment, such as (a) their demographic identities and the visibility of thoseidentities; (b) their familial and social networks; (c) their psychological characteristics; (d) theirstudent status classification (e.g., transfer student); (e) their past experiences; and (f) their goalsand desires. This proposition aligns with a specific element of the
future, the project team plans to conductexperiments with other variations of photoperiod. General observation of the trial indicated thatthe longer photoperiod helped the peanut plants to grow more vigorously with the increasedphotoperiod. The seed inoculation was randomized for each zone in Figures 3a and 3b, locationsdesignated as A indicates inoculated seeds, and B indicate non-inoculated seeds. For both trials,gypsum was added to the soil after the flowering of the plants. The peanuts were hand harvestedroughly five and a half months after planting for both FarmBot beds (April/May –September/October timeframe). The harvest from each plant was counted and weighed.4.0 Harvest Data AnalysisIrrigation was discontinued two weeks before the
Paper ID #37687Engineering Management Student Study-Abroad Opportunities: DesignConsiderations for EM Programs and Faculty MentorsCol. James Henry Schreiner, United States Military Academy COL Jim Schreiner has served in various command and staff positions as a U.S. Army Corps of Engineers Officer for 27 years and he currently serves as an Associate Professor and Director of the Engineering Management program at the United States Military Academy. He holds a BS in Mechanical Engineering from Marquette University, a ME in Engineering Management from University of Colorado Boulder, and a PhD in Systems and Enterprise Engineering
Paper ID #36548Incorporating Gamification at an Engineering Statistics course toimprove student learning and engagementDr. Dimitra Michalaka, The Citadel Dr. Dimitra Michalaka is an Associate Professor at the department of civil and environmental engineering at The Citadel and the Associate Director for the Center for Connected Multimodal Mobility (C2M2). Dr. Michalaka received her undergraduate diploma in civil engineering from the National Technical Uni- versity of Athens (NTUA), after which she entered into the transportation engineering graduate program at University of Florida (UF). She graduated with a Master’s of
. 15, 2022.[7] N. Shevchenko, “Research of Features of Educational-and-Professional Mindset in the Structure ofProfessional Consciousness of Students,” Psychological Journal, vol. 7, no. 5, pp. 17-25, 2021.[8] FrameWorks Institute, “Measuring Mindset Shifts and Evaluating Mindset Shift Efforts,”Washington, DC, 2020.[9] A. Lisberg and B. Woods, “Mentorship, Mindset and Learning Strategies: An Integrative Approach toincreasing Underrepresented Minority Student Retention in a STEM Undergraduate Program,” Journal ofSTEM Education, vol. 19, no. 3, 2018.[10] D. Kolb, Experiential Learning: Experience as the Source of Learning and Development, 2nd ed.Pearson Education, 2015.[11] Consortium to Promote Reflection in Engineering Education Campus Field
offirst-generation college students in STEM and non-STEM majors,” Journal of Research inScience Teaching, vol. 53, no. 3, pp. 368–383, 2015.[2] “Home,” ABET. [Online]. Available:https://www.abet.org/about-abet/diversity-equity-and-inclusion/. [Accessed: 28-Feb-2023].[3] M. J. Chang, J. Sharkness, S. Hurtado, and C. B. Newman, “What matters in college forretaining aspiring scientists and engineers from underrepresented racial groups,” Journal ofResearch in Science Teaching, vol. 51, no. 5, pp. 555–580, 2014.[4] Pages, A. W. (2022, August 11). Academic web pages. banner. Retrieved May 1, 2023, fromhttps://immigrationinitiative.harvard.edu/topic/first-and-second-generation/[5] Yosso, T. J. (2016). Whose culture has capital? Critical Race Theory in
/sparkvue[12] Wavefront Labs, Accelerometer Date Pro, Accessed Jan 25, 2023. https://itunes.apple.com/us/app/accelerometer/id499629589[13] RWTH Aachen University, phyphox – Physical Phone Experiments, Accessed Jan 25, 2023. https://phyphox.org/[14] A. Savitzky, and M. J. E. Golay, Smoothing and Differentiation of Data by Simplified Least Squares Procedures, Analytical Chemistry 36, No. 8, 1627–1639 (1964)[15] G. Bischof, E. Bratschitsch, and M. Mandl, On-Road Aerodynamic Drag Analysis by Simultaneous Linear Inversion of the Equation of Motion, SAE Technical Paper 2005-01- 1456, (2005)[16] R. M. Harris, and B. Clayton, The current emphasis on learning outcomes, International Journal of Training Research
welded with an overlapping cross section of35.8 by 26.3 mm as seen in Fig. 1. The welder that was used was a model 1-24-20 ACMERocker Arm Resistance Spot Welder, which can be seen in Fig. 2a, and the specifications andinformation can be seen in Fig. 2b. The welding controller was an Enron EN1000-B and was seton schedule No. 12, as seen in Fig. 3. All the welding was done with a clamping force of 2kN,with a current of 12kA, for 1.5 seconds. This type of welder, or one of similar specifications, canbe found in most educational manufacturing laboratories, and the operation of the machine isvery beginner friendly, so instructors can even guide students to operate the welder themselves.Once the machine was set up and ready for use, the Al and Fe were
opportunity to explain their solutions (also referred toas video logs or vlogs for students who add visual components to their podcasts). The podcastassignments aim to: (a) motivate students to submit answers in an enjoyable way, (b) increase timeand effort that the students are encouraged to devote to a project, and (c) improve course outcomes.Background and OverviewThe students in the “Signals and Systems” base course (ECE2714) are enrolled in theundergraduate engineering program in the Bradley Department of Electrical and ComputerEngineering at Virginia Tech [1]. Emphasis was placed on analytical solutions to differential anddifference equations as well as facility in solving problems in both the time and frequency domains.Prior knowledge includes
in Graduate Education Sylvanus N. Wosu University of Pittsburgh Swanson School of Engineering, Pittsburgh, PAAbstract Effective mentorship is a key factor for driving success in completing a doctoralprogram or achieving tenure in the professoriate. The effectiveness of a mentor-leader inengaging and empowering mentees depends on the mentor’s ability to influence desiredattitudinal or performance character changes. This takes place through relational connections forinteraction of values, attitudes, behaviors, and principles that are nurtured, constructed, andpracticed, building and supporting a mentee-mentor cultural bridge to achieve the desired goal.The mentor and mentee
time spent interacting with the presenters at around 86% byeducators from a diverse rank level (from student to post-doctoral fellow and professor).Moreover, the engagement with the content continued beyond the duration of the synchronousevent, as indicated by the number of times the Share and Learn webpage [22] was visited andhow these number of visits grew over time.a)b) Figure 1: Why we do what we do: a) quantitative results from the Share and Learn analysis and the impact form the educator community to the educator community, b) map depicting the location of the participants who attended the Share and Learn events who resided in the US.The participants were from 55 unique institutes, with most participation from the universities
quizzes (Matthews et al. 2014). Similarly, Javorcik and Polasek (2019a)created a microlearning course from an existing e-learning course and compared the studentlearning outcomes. They found that the students in microlearning courses achieved course learningoutcomes more easily and accessed the course twice the number of e-learning courses. As a follow-up study, the same authors presented two models - Model A and Model B to transform eLearningcourses into microlearning courses in Moodle LMS (Learning Management System), and basedon the pilot study results, they found model B with fewer thematic units is appropriate for first-year university students (Javorick & Polasek, 2019b). Likewise, Skala and Drilk focused on thedidactical design of
., Nielson, S., D’Alessio, J., Ray, S., Street, S., and Zhou, C.Q., 2020, “On the Impacts of PreHeated Natural Gas Injection in Blast Furnaces,” Process, 8(7), 771 (20 pages). DOI: 10.3390/pr8070771[22] Nielson, S., Okosun, T., Damstedt, B., Jampani, M., Zhou, C. Q., 2021, “Tuyere-Level Syngas Injection in the Blast Furnace: A Computational Fluid Dynamics Investigation” Processes 2021, 9(8), (16 pages). doi:10.3390/pr9081447.[23] Martinez Zambrano, F., Worl, B., Li, X., Silaen, A.K., Walla, N.J., Johnson, K., Fabina, L., and Zhou, C.Q., 2020, “Reduction of Fuel Utilization Through Oxygen-Enriched Combustion in a Reheat Furnace PusherType” Proceedings of ASME 2020 Summer Heat Transfer Conference (7 pages).[24] Liu