to use the notebook combined with Python, while the second class will be applying the traditional approach. This stage is not yet done as this is still a work in progress. Nevertheless, the plan is to introduce this new approach next year when the kinetics and reactor design course is offered.Presenting this research at the 2023 ASEE annual conference, while it is still at the progressstage, enables us to interact with other instructors who have done something similar to shareexperiences and to develop our structured assessment for next year’s intervention. In principle,the proposed intervention can be implemented in other engineering courses that have a similarteaching challenge and require a computational approach. Following the
application of this project, researchers willmodify and improve the laboratory experiment that students will work through in order toincrease student ability to apply in-class knowledge to this system that is more like what theywould experience on the field.End Goal In future developments to push this toward applications across a whole degree plan, theresearchers intend to open the process to enable the students to design and implement otherprocesses, such as replacing the process implemented in the CSTR. Specifically, the idea ofreplacing the CSTR with a bioprocess (e.g., a simple fermentation using brewer’s yeast), amembrane separation process, or a fractional distillation of a water/ethanol mixture are underconsideration. The development of
placed directly above the buried feature.Figure 4: Spatial variation of apparent resistivity (Ohm-m) and anomaly coinciding with thelocation of artificial void in test bed. 5. DiscussionMost accredited civil engineering programs require a soil mechanics component as part of theircurriculum [18]. Soil testing experiments and field trips have often been favored to learngeotechnical engineering practices [19,20]. But undergraduate students rarely have theopportunity to plan, collect and interpret subsoil investigation data [21,22]. So, we propose thatour low-cost ER meter be added to the traditional set of geotechnical laboratory experiments todemonstrate the theory and applications of geophysical exploration. This interactive case-studywould
active and experiential learning approaches and updated information on MarketStrategies related to Education & Skills 2030. We will work collaboratively with partners(universities, companies, accrediting associations, and industry) to track and contribute to theongoing development of the model through changelogs and suggestions via GitHub.Workplan and DiscussionFigure 2 schematically shows the project's 2023 work plan. The left section of the figureoffers an overview of the tasks implemented between January and June 2023. The rightsection shows an overview of the steps from July-December 2023.Figure 2. Timeline of the project: implemented by June 2023 and Future work.Activities already implemented. The experimental setup was done through the
Writing Advanced Building Electrical SystemsIntroduction to Programming Mechanical/Acoustics Specialization:Construction Business Methods Building Energy Structural Specialization: HVAC DesignReinforced Concrete Design Advanced Noise ControlAdvanced Structural Analysis Building Controls (Master’s)Structural Design and Planning Advanced Building Electrical SystemsIntroduction Geotechnical Engineering Technical ElectiveFoundation Engineering (Master's) Fifth-year Master'sInternship in Architectural Engineering Graduate Probability & StatisticsInterdisciplinary Team Design Project Professional Practice
four core concepts [3] and another into nine core concepts [14]. They alsohad access to a variety of computational thinking lesson plan ideas for consideration [15], [16],[17], [18], [19]. Ultimately, through discussion and interaction with each other as well as theprofessor of science education supporting the curriculum work, the teachers selected the 4-partskill frame proposed by Sheldon [3]: algorithmic thinking, decomposition, abstraction, patternrecognition. They then used that framing of computational thinking to explore how best tointegrate into their various classes. ResultsPrior Experiences and Goals for Themselves Pre-Project Prior to beginning their RET-big data experience, the
& Rauch Plan- etarium at the University of Louisville. His scholarship includes collaborative efforts with science and engineering faculty targeting retention of STEM majors in entry-level STEM courses.Dr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Associate Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. is research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology used in the classroom.Mr. Nicholas Hawkins, University of Louisville Nick Hawkins is an Assistant Professor in the Engineering Fundamentals Department at
Activity.Figure 7. Volunteer and Participant Interaction During the Soft Robotics Activity.Conclusion & Recommendation for Further StudyThis type of community based-event draws a very young group of children (58% K-3). For veryyoung students to complete the activity independently, some modifications were necessary. Thethreading task proved to be the most difficult part of the activity as the small holes requiredstudents to use greater force for threading. To eliminate this bottleneck, we plan to create largerthreading holes for the students. Additionally, a rig or clip to provide students with an extra “setof hands” may help with the zip-tying step where participants were often seeking a helper. If thisactivity were to be implemented for educational
accomplish those goals, and execute those strategies. State-oriented students might set the same academic goals and devise the same strategies, but theystruggle to maintain the cognitive control needed to turn plans into success. There are three waysin which the cognitive control of state-oriented individuals breaks down. • Hesitation: Students have a hard time getting started. They procrastinate rather than engage with schoolwork. • Preoccupation: Students can have a difficult time returning to a task after interruption. • Volatility: Students can have a difficult time staying focused on a task; they get bored and find a more interesting activity rather than schoolwork.There is not a lot of research on the behavioral
technological efficacy among underserved and underrepresented student populationsin higher education." Interdisciplinary Journal of e-Skills and Lifelong Learning 16 (2020): 93-121.[8] A. G. Marshall, et al. "The importance of mentors and how to handle more than one mentor."Pathogens and Disease 80.1 (2022): ftac011.[9] L. Andersen, and T. J. Ward. "Expectancy‐value models for the STEM persistence plans ofninth‐grade, high‐ability students: A comparison between Black, Hispanic, and White students."Science Education 98.2 (2014): 216-242.[10] J. E. L. Shin, S. R. Levy, and B. London. "Effects of role model exposure on STEM andnon‐STEM student engagement." Journal of Applied Social Psychology 46.7 (2016): 410-427.[11] Z. S. Wilson, et al. "Hierarchical
Paper ID #38578Work in Progress: Design of Mastery-Based-Learning Course Structure toAssess Student Anxiety and BelongingMeghan Williams, Elizabethtown College I am a senior at Elizabethtown College pursuing a Secondary Physics Education degree with a minor in Mathematics and am currently student teaching. I am the treasurer for the Elizabethtown College Circle K, a volunteer organization, and am also a representative for Honors Council. After graduation, I plan to spend two months working as a volunteer in Australia.Dr. Elizabeth Dolin Dalton Assistant Professor of Psychology, Elizabethtown CollegeDr. Mark Brinton
college”, and often struggle to create education plans [2]. Others, still, have sharedthe negative impacts that first-generation college students face based on having lower income,being under-represented, and lesser prepared [3]. While attending middle and high school, manypotential future first-generation college students lack an awareness that college is a viable path.For those that are aware of higher education, it is often seen as an expensive option or one thatisn’t possible based on current academic success since low-income and under-representedstudents are also statistically more likely to be below grade-level standards.Once in college, low-income students spend additional time and resources seeking scholarshipsand/or working in what are
participated in the Fall 2022 Leadership Community of Practice atCalifornia State University, Los Angeles, a VHHE HSI. Fellows shared learning about hiddenmenus, leadership identities, and oppressive practices that could shift and change between theirprevious and new roles as faculty and chairs. Our future work in this area will continue toadvance research in the development of mental models towards supportive educationalecosystems. We also plan to share our results with others through workshops and conversationwith colleagues across the country. We hope to create a culturally responsive learning andworking environment for both students and faculty that focuses on making teaching and learningrewarding and fulfilling experiences. We want to emphasize
’ career plans and development. A mentorshipecosystem is what students need to thrive in academia. All these influential guides can providementees with increased self-efficacy levels in STEM and entrance into a realistic pathway toaccomplish their academic engineering goals.Consequentially, the structural design of mentoring processes and implementation do not gowithout imperceptibly unknowns. In pairing, there are seldomly suitable identifiable matchesbased on social and cultural identities. This sociocultural factor inevitably provides salientconnections and psychosocial support, helps strengthen STEM identity, commitment, and overallguide the mentee’s interpersonal development [36-40]. However, the correlation of thissociocultural
, 1991. https://doi.org/10.17226/1829[2] Dcosta, A. A Review of PESTLE Analysis History and Application—BrightHub ProjectManagement. Available online: https://www.brighthubpm.com/project-planning/100279-pestle-analysis-history-and-application/ (accessed on 21 January 2022).[3] Mission, Vision and Values—University of San Diego. Availableonline: https://www.sandiego.edu/about/mission-vision-values.php (accessed on 21 January2022).[4] Urias, E.; Vogels, F.; Yalcin, S.; Malagrida, R.; Steinhaus, N.; Zweekhorst, M. A frameworkfor Science Shop processes: Results of a modified Delphi study. Futures 2020, 123, 102613.[5] Savoia, A.; Lefebvre, B.; Millot, G.; Bocquet, B. The science shop concept and itsimplementation in a French university. Journal of
online studentsand connect them with campus services available online. For long-term planning, course redesignor a new online course offering would be necessary if online learning will continue to play asignificant part in undergraduate education.References[1] P. Panindre and R. S. Thorsen, “Assessment of learning effectiveness in online and face-to-face learning environment for engineering education,” in 2020 ASEE Virtual Annual Conference Content Access, 2020.[2] M. Ssemakula, “Learning effectiveness in online vs. traditional courses,” in 2005 ASEE Annual Conference, 2005, pp. 10–877.[3] M. Kozak, “In person versus synchronous remote delivery of mechanics lectures,” in 2010 Annual Conference & Exposition, 2010, pp. 15–707.[4] J
the extra credit awarded for completing the survey orother events affecting their feelings at the time of filling the survey.Some broad implications of this study are to develop effective tools for students to strengthentheir Information Gathering skills through various resources. In other words, how a decision canbe optimized with the benefit of reaching different people, using different processes andproducts. For example, if a student is required to decide towards selecting their majors, one ideacould be to reach out to different people (advisors from university and industry) and visualizingstep-by-step prospective career plans for students. Through such a holistic Information Gatheringprocess, advisors could be assured that students would
as part of their regularduty also allows courses to define standards for flexibilization and fairness between cases ofsimilar nature across different terms.Our early observations show that scaling this initiative to more large-enrolment courses may bechallenging. These challenges are associated with a high workload of the WTA. Increasing theratio of WTAs to the number of students has associated costs. Thus, we are currently studyingways to automate some of the tasks of the WTA, without sacrificing the human connection that isso key to the practice. As a next step, we plan to extend the practice to cover first-year courseslike Calculus, Linear Algebra, and Physics. Another key challenge is the engagement of teachingstaff; as mentioned above
with a note with an overview of the year, add a more specific note for each month that Icreate a few days before the month starts, and finally during my weekly planning meetings createanother note for each day. Obsidian has plugins that also support GTD processes and make acollective checklist based on date tags throughout a collection.When I started looking at how other people used Zettelkasten, I did not perceive myself as acontent curator like the bloggers, podcasters, and video creators that I was getting tips from.However, now that I have started the process, I realized there are two additional reasons I collectinformation: social sharing and mentoring.I manage the social media presence for committees in two professional organizations, so
Leadership Portfolios. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--33088[4] Jamieson, M., & Shaw, J. (n.d.). A continual improvement process for teaching leadership and innovation within a community of Practice. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--31950[5] Higgs, C. F., Karwowski, K., Van Kleeck, D., Phalen, T., Moran, G., Wright, C., & Hennessy, J. (n.d.). The challenges of developing engineering management and leadership curriculum for Students Planning Ripe Careers. 2019 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--33375[6] Melvin, E., Bowles, B., & Steele, A. (n.d.). Fostering a
.[16] Stockarda, J., Celeste M., Rohlfing, C. M., Richmond, G. L., Equity For Women AndUnderrepresented Minorities In STEM: Graduate Experiences And Career Plans In Chemistry.PNAS 2021 Vol. 118 No. 4 e2020508118. https://doi.org/10.1073/pnas.2020508118[17] Whitcomb, K. M., Singh, C., Underrepresented Minority Students Receive Lower GradesAnd Have Higher Rates Of Attrition Across STEM Disciplines: A Sign Of Inequity?,International Journal of Science Education, (2021) 43:7, 1054-1089, DOI:10.1080/09500693.2021.1900623[18] Pfund, C., Byars-Winston, A., Branchaw, J., Hurtado, S., Eagan, K., Defining Attributes andMetrics of Effective Research Mentoring Relationships. AIDS Behav. 2016 September ;20(Suppl 2): 238–248. doi:10.1007/s10461-016-1384-z
]. Natural LanguageProcessing (NLP) uses machine learning methods like transformer-based machine learningmodels [7], [8], which can be used through fine-tuning or in-context learning methods. NLP canbe used to train algorithms that can automate the coding of written responses. Only a few studiesfor educational applications have leveraged transformer-based machine learning models, furtherprompting an investigation into its use in STEM education. However, since language analysis ischallenging to automate because of its complexity, NLP has been criticized for increasing thepossibility of perpetuating and amplifying harmful stereotypes and implicit biases [9], [10].This study details preliminary results to plan for using NLP for linguistic justice
. Seifert, A. L. Patalano, K. J. Hammond, and T. M. Converse, “Experience and expertise: The role of memory in planning for opportunities,” in Expertise in context: Human and machine, Menlo Park, CA: AAAI Press, 1997.[14] K. M. Martin, E. Miskioglu, C. Noble, A. McIntyre, C. S. Bolton, and A. Carberry, "Predicting and Evaluationg Engineering Problem Solving (PEEPS): Instrument Development," presented at the Research in Engineering Education Symposium & Australasian Association for Engineering Education Conference, Perth, Australia, 2021.[15] P. S. Steif and J. A. Dantzler, “A statics concept inventory: Development and Psychometric Analysis,” Journal of Engineering Education, vol. 94, no. 4, pp. 363–371
majorsat the host institution to also register for the course if they are interested. The first iteration ofthis course ran in the Fall of 2022 with 11 students. The students were from engineering (1biomedical, 1 chemical, and 3 mechanical) and engineering technology majors (1 mechanicalengineering technology and 5 electrical and computer engineering technology). The course isbeing planned to run on a yearly basis.Preliminary FeedbackA mid-semester one-question feedback survey was run asking students what is the mostimportant/valuable thing they have learned in this course so far. Table 2 below summarizes theresults. There were three themes observed, namely Python programming, 3D modeling, anddesigning prototypes and making which match with the
authors seek to continue the student perception surveys over the next two academic yearswith new groups of Multidisciplinary Design Capstone students. The results will be evaluatedbased on student demographic differences and similarities to evaluate research question 2 (RQ2).One comparison that will be made will be comparing the results from the engineering students tothe engineering science minor students. Full statistical analysis will be completed on the overallresults and the results of each subgroup. In addition, student work will be collected as part of thecourse curriculum assignments to evaluate and compare to student perception surveys. Theauthors plan to directly assess students’ works as it pertains to research question 3 (RQ3
lecture. Additionally, the plan is to present this work as aworkshop at Lilly Conferences, which provides opportunities for the presentation of scholarshipof teaching and learning. With more historical background, this work could showcase thedevelopment within fluid mechanics against the backdrop of scientific progress.In April 2015, the University Faculty Senate at the Pennsylvania State University approved anew requirement for Integrative Studies within the General Education program. Theimplementation details for this requirement were approved in March 2016 and apply to studentswho started at the Pennsylvania State University during or after the summer of 2018. TheIntegrative Studies requirement offers two pathways for students to fulfill it
3 4 5 6 7 teams I like the objectivity of engineering education 1 2 3 4 5 6 71=Strongly Disagree, 2=Disagree, 3=Slightly Disagree, 4=Neutral, 5=Slightly Agree, 6=Agree,7=Strongly AgreeThe list of items is not final. Our ongoing research may direct us to add/remove or amend items.Our future work aims to further refine and psychometrically validate the EUSWQ. 4.1 PSYCHOMETRICS OF EUSWQ AND FUTURE WORKFor our future work, we are planning to validate the EUSWQ after presenting it to a larger numberof the undergraduate engineering student population. We aim to conduct two types ofpsychometric validation analysis. As part of the structural validity of the EUSWQ, exploratoryfactor analysis (EFA) will be conducted to verify
, ability or personal values essential information or present, or motivation to relative to knowledge/skill operations to make demonstrate perform quantitative with definitions, a decision, quantitative quantitative tasks information, equations, basic compare/contrast, information or operations, and quantitative build a model, concepts to an tasks. operations project, plan, etc. external or pseudo audienceTable 3: Coding indicators used to determine if a student
addressed, andstudents were encouraged to escalate them to campus faculty resource centers if necessary.The course was structured into approachable modules, with shorter textbooks matched to thesequencing. The course started with an introduction to robot basics including sensing, actuation,planning, and control [16]. The course progressed into programming and architectures includingreactive control, deliberative control, and hybrid architectures [17]. Lastly, project work exploredtopics such as robot operating systems (ROS) [18], [19], robotic simulators [20], and cloudrobotics [21].Overall, the proposed solution emphasizes the importance of designing inclusive practices thatprovide multiple means of engagement, while setting clear expectations and