and commitment.Funding AcknowledgmentThis research is sponsored by the NSF Alliance for Graduate Education and the Professoriate(AGEP; award #1821008). Any opinions, findings, conclusions, and recommendations belongsolely to the authors and do not necessarily reflect the views of the NSF.ReferencesÅkerlind, G. S. (2005). Postdoctoral researchers: Roles, functions and career prospects. Higher Education Research & Development, 24(1), 21–40. https://doi.org/10.1080/0729436052000318550Ålund, M., Emery, N., Jarrett, B. J. M., MacLeod, K. J., McCreery, H. F., Mamoozadeh, N., Phillips, J. G., Schoussau, J., Thompson, A. W., Warwick, A. R., Yule, K. M., Zylstra, E. R., & Gering, E. (2020). Academic ecosystems must
institutions to provide timelysupport to struggling students, thereby improving learning outcomes and student retention.Bibliography[1] R. Umer, A. Mathrani, T. Susnjak and S. Lim, "Mining Activity Log Data to Predict Student'sOutcome in a Course," in Proceedings of the 2019 International Conference on Big Data andEducation, New York, NY, USA, 2019.[2] S. V. Goidsenhoven, D. Bogdanova, G. Deeva, S. v. Broucke, J. D. Weerdt and M. Snoeck,Predicting Student Success in a Blended Learning Environment, New York, NY, USA:Association for Computing Machinery, 2020.[3] P. Shayan and M. v. Zaanen, "Predicting Student Performance from Their Behavior inLearning Management Systems," International Journal of Information and EducationTechnology, vol. 9, no. 01, pp
] T. Holland, S. B. Sherman, and S. Harris, “Paired Teaching: A Professional Development Model for Adopting Evidence-Based Practices,” College Teaching, vol. 66, no. 3, pp. 148– 157, Jul. 2018, doi: 10.1080/87567555.2018.1463505.[5] M. R. Letterman and K. Dugan, “Team teaching a cross-disciplinary honors course: Preparation and development,” College Teaching, vol. 52, pp. 76–79, Jan. 2004.[6] L. De Backer, W. Schelfhout, M. Simons, E. Vandervieren, and J. Rivera Espejo, “Impact of Team Teaching on Student Teachers’ Professional Identity: A Bayesian Approach,” Education Sciences, vol. 13, no. 11, Art. no. 11, Nov. 2023, doi: 10.3390/educsci13111087.[7] A. Adachi and J. Kirita, “A METHOD OF TEAM TEACHING FOR TRAINING STUDENT
Graduation of At-Risk Engineering Students.” American Journal of Engineering Education, 5(2), pp.73-90, 2014.[6] S. Relles, and B. Rincón. “Beyond the Cut-Point: College Writing Readiness for Linguistically Diverse Students.” Teachers College Record, ID Number: 22952, 2019.[7] A. Boatman. “ Accelerating college remediation: Examining the effects of math course redesign on student academic success”. The Journal of Higher Education, 92(6), 927-960, 2021.[8] S. R. Relles. “Rethinking postsecondary remediation: Exploring an experiential learning approach to college writing”. The Journal of Continuing Higher Education, 64(3), 172-180, 2016.[9] T. Kane, A. Boatman, W. Kozakowski, C. Bennett, R. Hitch, and D
(31 responses) (21 responses) 1. I enjoyed the course more because of the hands-on 85% 61% learning module(s) during the lab session. (33%+52%) (47%+14%) 2. The hands-on learning module helped me better 84% 58% comprehend the principles it employed. (39%+45%) (29%+29%)) 3. I learn a concept principle better when I can observe a 84% 81% physical model of the principle. (23%+61%) (33%+48%) Proceedings of the 2023 ASEE Gulf-Southwest Annual Conference University of North Texas
, so this indicates early success towardinstitutional change.Perhaps most importantly, our team developed a shared set of values that allows us to structure our worktogether. We enjoy working together and plan to build on our first year to continue to dismantle systemicbias in higher education using undergraduate research to support student identity formation and graduatepathways.AcknowledgementsSpecial thanks to the Alfred P. Sloan Foundation for funding our project team Grant #G-2021-17114, andthe National Science Foundation for the S-STEM Research Hub accelerator grant #A184152. We alsowish to thank the members of our advisory board for thoughtful ideas and discussions during the course ofthis project. Dr. Julie Vernon, Dr. Adetoun Yeaman
, and A. E. Abu Elnasr, “Responses to COVID-19 in HigherEducation: Social Media Usage for Sustaining Formal Academic Communication in DevelopingCountries,” Sustainability, vol. 12, no. 16, p. 6520, Aug. 2020, doi: 10.3390/su12166520.[3] R. J. Shaw, “Access to Technology and Digital Literacy as Determinants of Health andHealth Care,” Creat. Nurs., vol. 29, no. 3, pp. 258–263, Aug. 2023, doi:10.1177/10784535231211682.[4] M. A. Khan, “COVID-19’s Impact on Higher Education: A Rapid Review of Early ReactiveLiterature,” Educ. Sci., vol. 11, no. 8, p. 421, Aug. 2021, doi: 10.3390/educsci11080421.[5] S. Lewthwaite and D. Sloan, “Exploring pedagogical culture for accessibility education incomputing science,” in Proceedings of the 13th International Web
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Steve E. Watkins Missouri University of Science and TechnologyThe IEEE AESS Student Chapter at the Missouri University of Science and Technology(Missouri S&T) is developing an unmanned aerial vehicle (UAV) for student competitions, suchas the UAV Outback Challenge (www.uavoutbackchallenge.com.au/). This competition,sponsored by the Australian Research Centre for Aerospace Automation, lends an opportunityfor student-led teams to improve designs for autonomous, search-and-rescue vehicles. Thesecond-generation UAV for Missouri S&T is based on a fixed-wing airframe designed incollaboration with an Aerospace Engineering Senior Design class to meet requirements of 1) aflight time of approximately one-hour, 2) a load
in the late 1980’s for the purpose of creating and interactivelyexploring graphical representations of concepts. Many experimental studies designed tosubstantiate the educational effectiveness of such visualization technology [2]. In this paper wediscuss how Visualization can help students in Math and Computer Science by giving 3examples from each department.A. Computer ScienceMotivationKorhonen and Malmi [3] describe a visualization system that presents novice programmers withgraphical representations of algorithms which requires them to manipulate these representations Proceedings of the Spring 2013 Mid-Atlantic Section Conference of the American Society of Engineering
, 2010.[4] A. F. Cabrera, A. Nora, P. T. Terenzini, E. T. Pascarella, and L. S. Hagedorn, “Campus racial climate and the adjustment of students to college: A comparison between white students and African-American students,” Journal of Higher Education, vol. 70, no. 2, pp. 134-160, Mar. 1999.[5] J. S. Eccles, A. Wigfield, and U. Schiefele, “Motivation to succeed,” in Handbook of Child Psychology: Social, Emotional, and Personality Development, W. Damon and N. Eisenberg, Eds. New York: Wiley, 5th ed., vol. 3, 1998, pp. 1017-1095.[6] L. D. Reid and P. Radhakrishnan, “How race still matters: The relation between race and general campus climate,” Cultural Diversity and Ethnic Minority Psychology, vol. 9
1 An Approach for Introducing Concepts of Nanotechnology within the Undergraduate Curriculum F.T. Fisher, R. S. Besser, K. Sheppard, C.-H. Choi, and E.H. Yang Stevens Institute of Technology Hoboken, NJ 07030 Abstract - While developing countries such as India and China than 20% from 1983 to 1999, and according to the Scienceare producing unprecedented numbers of engineers and and Engineering Indicators this
, P. M., and Kitchener, K. S. (1994). Developing Reflective Judgment: Understanding and Promoting Intellectual Growth and Critical Thinking in Adolescents and Adults. Jossey-Bass Higher and Adult Education Series and Jossey-Bass Social and Behavioral Science Series. San Francisco, CA.: Jossey-Bass6. Alexander, P. A., Murphy, P. K., Woods, B. S., Duhon, K. E., and Parker, D. (1997). College instruction and concomitant changes in students’ knowledge, interest, and strategy use: A study of domain learning. Contemporary Educational Psychology, 22(2), 125-146.7. Vance, K., Konak, A. and Kulturel-Konak, S., Okudan Kremer, G., Esparragoza, I. “Teamwork Efficacy, Attitudes and Interest: Insights on Their Relationships
Leadership 49(7), 20-25.5. Olafsson, S., Huba, M., Jackman, J., Peters, F. and Ryan, S., 2003, “Information Technology Across the Curric ulum,” Proc. of the 2003 American Society for Engineering Education Annual Conference and Exposition, June, 2003, Nashville, Tennessee.6. Terenzini, P.T., Cabrera, A.F., Colbeck, C.L., Parente, J.M., and Bjorklund, S.A., 2001, “Collaborative Learning vs. Lecture/Discussion: Students’ Reported Learning Gains,” Journal of Engineering Education 90(1), 123-130.
. ß Mixed methodologies. Despite the extreme positions taken by some researchers in the protracted data wars, both quantitative and qualitative data provide valuable insights about students’ acquisition of communication skills and the growth of their expert-like behaviors. Assessment should include both quantitative and qualitative data that are triangulated.The problem then becomes making decisions about selecting the most appropriate data to helpanswer the specific research question(s)—given limited financial resources, limited time, andthe criticality of having assessment promote rather than interfere with students’ learning.Assessment strategiesThe following figure indicates some of the ways that
blocksrequirements. Most importantly, students learn the importance of the team work and how to dealwith project progress delays, iterative design modification caused by other team members andother challenges that arise over the course of a project. Figure 2 shows the design assembly andfabricated parts in the Fall 2008’s class.CNC programming and machining projectThe CNC machine tool is one of the most important pieces of manufacturing equipment inindustry. Almost all industrial products and every day consumer goods include componentsdirectly made using CNC machine tools. This project allows students to experience the operationof a modern NC machine. This activity obviously helps students to have a better understandingof the machine structure and component
-0.0001 -0.00015 -0.0002 Strain -0.00025 -0.0003 -0.00035 -0.0004 -0.00045 Time (seconds) Figure 2: Typical strain vs. time profile resulting from the drop testThe average loading duration of several such drop tests was 3.5 to 4 milliseconds and appearedto be independent of the magnitude of the load. The strain rate calculated from the strain vs.time profile was on the order of 1/s.2. Charpy Impact TestingCharpy Impact Testing [5] is a common test procedure
congestion control, end-to- including non-time sensitive V I REFERENCES [35] N. Tezcan and W. Wang, “ART: an asymmetric and reliable transport [1] Y. G. Iyer, S. Gandham, and S. Venkatesan, “STCP: A generic transport mechanism for wireless sensor network,” International Journal of Sensorlayer protocol for wireless sensor networks,” in Proceedings of IEEEICCCN Network, 2007.2005, Oct. 17-19, San Diego, California, USA. [36] A Fairness-Aware Congestion Control Scheme in Wireless Sensor[2] Reliability in WSN for Security: Mathematical Approach. George S. Networks Xiaoyan Yin, Student Member
. Electrical Transmission and Distribution The widely linear model collapses into strictly linear initialization period of around of 0.05 s, whereas the CLMS produced a biased estimateFor the adaptive frequency estimation, the desired voltage requires only the use Reference Book 4th Edition, model for proper data, with g=0. with large error variance.of the
192.168.10.14throughput of previous IEEE 802.11a & g from 54 Mbits/sto 600 Mbits/s. and EV-DO, which is also known as 192.168.10.15Evolution Data Optimized, Evolution Data Only andEVDO. This protocol is used for wired and wireless MANETANCHOR 192.168.10.16 INFRASTRUCTEDBASEDPOINTNODE(MAPN)networks for accessing the internet services. EV-DO ANCHORPOINTNODE
actual project for a major automotive manufacturer, legal contractualaspects would be liability in the event of a system failure.Schedules- Figure 2: Schedule and Gantt chartEvaluation Methods-Project success or failure will be judge by task completion and overall project progress.Attendance to project meetings is of high importance and will be regarded as critical forproject success. 8 Resources- Costs were broken down between individuals in the group for select components. Some individuals in the group have access to discounted prices or items that are not available to the general public (such as the motor(s) and CAD drafting software
MarXBot ARM11, 533 MHz, Camera, WiFi, Bluetooth Up to 2048x1536 N/A 128MB RAM Accelerometer, pixel s @ 12 FPS Gyroscope, RFID, 2D Force, Microphone Khepera III XScale, 600MHz, IR, Ambient Light, WiFi, Bluetooth 640x480 pixels @ 15 >$2000 128MB RAM Ultrasonic, Camera FPS CITRIC XScale, 624 MHz, Camera, Microphone Zigbee 1280x1024 pixels @ $600 64MB RAM
that every node can be a cluster head with aprobability of popt. In every round there is a new cluster headinstead of the one in the previous round. The set G contains Fig. 1. Radio Energy Dissipation Model [7]the rest of the nodes that are non-head nodes to keep thecluster head constant for each round. Every round r, a newhead is selected when every node s G selects a number Where Eelec is the energy consumed per bit to transmit datarandomly in [0,1] . The node is considered as a head for the between sender and receiver, _fs and _mp depend on thecluster if that number is less than the threshold T(s). transmitter amplifier model we use, and d represents the
367.embryonic, adult, and induced pluripoint stem cells (iPS) have [17]. Cao, Z., et al., Tumor cell-mediated neovascularization andthe extraordinary properties to treat variety of diseases. Stem lymphangiogenesis contrive tumor progression and cancer metastasis.cell therapy is a brilliant path that can build a strong bridge for Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, 2013. 1836(2): p. 273-286.the human healthcare and a sophisticated method to enhance [18]. Zhou, W., G. Wang, and S. Guo, Regulation of angiogenesis via Notchthe quality of people life
-policy-and-procedure-manual-appm-2024-2025/[6] ABET, “Big 10+ Universities Deans of Engineering Letter of Support, Diversity, Equity &Inclusion, Mar. 31, 2021.,” 2021. Accessed: Sep. 02, 2024. [Online]. Available:https://www.abet.org/about-abet/diversity-equity-and-inclusion/[7] M. Borrego, J. Froyd, C. Henderson, S. Cutler, and M. Prince, “Influence of EngineeringInstructors’ Teaching and Learning Beliefs on Pedagogies in Engineering Science Courses,”International Journal of Engineering Education, vol. 29, pp. 1456–1471, Jan. 2013.[8] E. A. Canning, K. Muenks, D. J. Green, and M. C. Murphy, “STEM faculty who believeability is fixed have larger racial achievement gaps and inspire less student motivation in theirclasses,” Sci Adv, vol. 5, no
toengineering and computer science students who received S-STEM or STEP scholarships fromthe National Science Foundation through grants to the Ira A. Fulton Schools of Engineering atArizona State University. The most recent grants were an S-STEM grant (#1060226) for upperdivision native students and graduate students and a STEP grant (# 0856834) for upper divisiontransfer students from five non-metropolitan community colleges. For the last several years, atwo-credit Academic Success and Professional Development class has been required of thescholarship awardees. All of the class assignments have been designed to help the student dowell academically, socially, and professionally. An academic guide on how to learn is providedwith the use of the
, Maryland: ASEE Conferences, Jun. 2023.[2] L. Espinosa, “Pipelines and pathways: Women of color in undergraduate STEM majors and the college experiences that contribute to persistence.” Accessed: Aug. 26, 2024. [Online]. Available: https://psycnet.apa.org/record/2011-13330-004[3] L. Foltz, S. Gannon, and S. Kirschmann, “Factors That Contribute to the Persistence of Minority Students in STEM Fields,” Plan. High. Educ. J., vol. 42, pp. 1–13, Sep. 2014.[4] S. Deitz and R. Henke, “Higher Education in Science and Engineering,” NSF - National Science Foundation. [Online]. Available: https://ncses.nsf.gov/pubs/nsb202332/characteristics-of-s-e-degree-recipients#s-e-degrees-by -race-and-ethnicity[5] E. Lichtenberger and C. George
societal implications if this AI-driven [2] B. Arslan, B. Lehman, C. Tenison, J. R. Sparks, A. A. López, L.system is deployed? Kasneci et al. [6] conclude commentary Gu, and D. Zapata-Rivera, “Opportunities and challenges of usingwith a call for “responsible and ethical” use of AI in generative AI to personalize educational assessment”, Front. Artif.education, advocating strategies like continuous human Intell., vol. 7, art. 1460651, 2024.oversight and critical evaluation. [3] N. J. Francis, S. Jones, and D. P. Smith, “Generative AI in higher education: Balancing innovation and
, the research team has also gathered quantitative data related to how the studentsengage with campus resources and personnel, as well as data on the character and composition ofthe students’ social support networks.Program descriptionThe SEED program was initiated in 2021 with support of the NSF S-STEM program which hasthe goal of recruiting and retaining financially-needy, academically-talented students to STEMcareers. The SEED program is open to students majoring in computer science or an engineeringdiscipline and the financial need requirement is satisfied by eligibility for the federal Pell grant.While not a requirement, students from backgrounds historically underrepresented in STEM areactively recruited to the program. Cohorts of
new curriculum thatcovered a breadth of ET topics (e.g., electrical, industrial, manufacturing, and mechanical). Thispaper reports on a single cohort of twenty-seven Purdue Polytechnic New Albany students whovoluntarily completed an end-of-semester anonymous three-part online survey analyzing theirdemographics, perceptions, and the extent to which they believe they had or had not madeprogress in a variety of engineering related competencies (i.e., cluster of related KSAs). Twentyfive (92.59%) students agreed that the new gateway course had prepared them for futureacademic success in their selected major(s) (59.26% strongly agreed), but results show animbalance of perceived preparation across all engineering-disciplines. Multiple course