AchievementAbstractThe National Science Foundation (NSF) Scholarships in Science, Technology, Engineering, andMathematics (S-STEM) program supports low-income, high-achieving STEM students throughscholarships and tailored support services. This paper compares the implementation and impactof three different S-STEM projects across three diverse institutions—Rowan University, AlbanyState University, and Tennessee University, highlighting their distinct approaches and outcomesfor diverse student populations.At Rowan University (RU), a public R2 university in the northeastern United States, the 5-yearS-STEM project — Engineering Persistence: Support System for Low-Income Students toCatalyze Diversity and Success — targets undergraduate engineering students
the engineeringeducation context which included SNA. To guide our research toward the study purpose, weprepared the following Research Questions (RQs):RQ1: What is the current breadth of SNA in the engineering education context?RQ2: What areas of SNA in engineering education warrant systematic review(s)?For this research brief, we present key publication, study context, and methodological trends inthe data through an analysis of code frequency. Specifically, we will focus on findings related toRQ1 by identifying the number of records that included each code.MethodologyA scoping review, as presented by Grant and Booth “provides a preliminary assessment of thepotential size and scope of available research literature” [30, p. 95]. We selected
Google Colab. Using claude.ai [18] the response is: Response - Claude 3.5 This Python script: 1 import svgwrite 2 from I P y t h o n . d i s p l a y i m p o r t d i s p l a y , HTML 3 import ipywidgets as widgets 4 from I P y t h o n . d i s p l a y i m p o r t c l e a r o u t p u t 5 c l a s s DFlipFlop : 6 def init ( self ) : 7 s e l f . s t a t e = 0 # Output Q 8 self . prev clock = 0 910 def update ( s e l f , clock , data ) :11 # U p d a t e s t a t e on r i s i n g e d g e o f c l o c k12 i f c l o c k == 1 and s e l f . p r e v c l o c k == 0 :13 s e l f . s t a t e = data14
, instructors can use the additional information gestures provide to verifywhether students’ responses are aligned with target ideas. In turn, gestures can provide feedbackto instructors and inform pedagogical strategies to support students’ conceptual learning andaddress potential misconceptions. Drawing from these results, future work can investigate howdifferent representational gestures support student procedural and conceptual understanding ofengineering concepts.AcknowledgementsThis study was funded, in part, by the National Science Foundation, grant number 2400568. Theresults and opinions expressed in this work are the work of the authors and do not necessarilyrepresent the views of the National Science Foundation.References[1] N. Nelavai and S
. IEEE articles of interest Group one: healthcare providers accessing technology [27] [28] [29] [30] [31] [32] [33] [34] at a distance to provide patient care (remote access to technology) Group two: patients accessing healthcare providers at a [35] [36] [37] [38] [39] distance (remote access to personnel) Group three: training healthcare workers to design and [40] [41] use technology Group four: supporting healthcare workers [42] [43] [44]Group one included eight articles, which described improving remote access to technology forpatient care, including: ultrasound for pregnancy [27] and digital pen for documentingpartograph [28], low-power nebulizer [29], diagnosis of urinary tract infection(s) [30] andpreeclampsia [31
intelligence (AI) powered conversational educational agents: The inevitable paradigm shift,” Asian Journal of Distance Education, vol. 18, no. 1, Art. no. 1, Mar. 2023, Accessed: Jan. 15, 2025. [Online]. Available: https://www.asianjde.com/ojs/index.php/AsianJDE/article/view/718[2] B. Khosrawi-Rad et al., “Conversational agents in education–a systematic literature review,” 2022.[3] M. D. Koretsky and A. J. Magana, “Using Technology to Enhance Learning and Engagement in Engineering,” Advances in Engineering Education, 2019, Accessed: Jan. 15, 2025. [Online]. Available: https://eric.ed.gov/?id=EJ1220296[4] S. H. Tanvir and G. J. Kim, “WIP: Generative and Custom Chatbots in Computer Programming Education and their Effectiveness A
= c o m p u t e D e r i v a t i v e ( func , x , h ) 3 % Computes t h e n u m e r i c a l d e r i v a t i v e o f f u n c a t x 4 % u s i n g a c e n t r a l d i f f e r e n c e method . 5 % func : Function handle . 6 % x : P o i n t a t which t o compute t h e d e r i v a t i v e . 7 % h : Step s i z e . 8 d e r i v a t i v e = ( func ( x + h ) − func ( x − h ) ) / (2 * h ) ; 9 end1011 % Example u s a g e :12 f = @( x ) s i n ( x ) ;13 x v a l = p i / 4 ;14 s t e p s i z e = 0 . 0 0 1 ;15 d e r i v v a l = c o m p u t e D e r i v a t i v e ( f , x v a l , s t e p s i z e ) ;16 d i s p ( [ ” D e r i v a t i v e a t x = ” num2str ( x v a l ) ” : ” num2str ( d e r i v v a l ) ] ) ;1718 f 2 = @( t ) t . ˆ 2 ;19 t v a l = 2 ;20
apple pomace. Detailed design of the pasteurization process was carried out by a student design team inthe MDL.[5] Two custom heat exchangers replace a traditional pasteurization unit. HX-104 is acounter-current, shell-and-tube type exchanger that pre-heats incoming apple juice. Studentsutilized a state-space model to quantify process dynamics and tailor HX dimensions to specifiedinlet/outlet temperatures while minimizing residence time. The pre-heater HX-104 is followed bythe pasteurizer HX-103, a commercial unit with a typical residence time of about 10 s.[6]Addition of a drying agent (maltodextrin) is followed by spray drying using air at 140 °C. Hotapple juice powder (T > 90 C) exiting the spray dryers is discharged into a screw
, quantitative analysis for both face validity and contentvalidity evidence can be evaluated using various metrics. Face validity evidence for theinstrument was evaluated using Item Face Validity Index (IFV-I), Universal Agreement ScaleValidity (S-IFV/UA), and Average Scale Face Validity (S-IFV/Ave) [27]. The IFV-I indicatesthe percentage of raters who assign an item with clarity of 3 or 4. The S-IFV/Ave is calculatedby averaging the IFV-I scores across all items on the scale, or alternatively, the mean clarity andcomprehension ratings from all raters. The proportion of clarity is determined by averaging theindividual ratings provided by each rater. The S-IFV/UA refers to the proportion of items on thescale that receive clarity ratings of 3 or 4 from
Development modules are embedded within existing2nd year courses (Basic Analog Electric Circuits, Basic Digital Circuits, and Introduction toElectronics) in hybrid/remote modality for all students to experience. A select group of students(6 in total- 3 from HBCUs/MSIs and 3 from PWI(s)) are chosen for the continuation to a summerinternship with pre- and post- internship mentorship and training. Collaborators RPI and NotreDame have the same structure of participants. Thus, the total numbers are: 6 IEC-HBCUs(Howard, Tuskegee, UMES, North Carolina A&T, Prairie View A&M, and FAMU/FSU), and a © American Society for Engineering Education ASEE 2025total of 12 students with pre
integration of advancedsustainability concepts. Our multi-phase implementation approach, scheduled to commence in Fall2025, is supported by compelling evidence from multiple educational studies. Constantinou et al.'s2022 longitudinal research demonstrated that similar curriculum enhancements increased studenttechnical competency scores by 35% on average across 427 students, while Martinez et al.'s 2023study showed a 42% improvement in building performance assessment capabilities.The curriculum optimization framework incorporates specialized modules on post-pandemicdesign elements, real-time building performance analysis, and hybrid instructional methodologies.Analysis of comparable programs indicates these enhancements can be implemented with
services that we provide to the whole society can't be interrupted. Basically, if your activity is so important, energy production for example, you need to be able to manage the crisis in an overall way." (FG#04- A)Public safety professionals also agreed with the importance of equipping engineering studentswith EDCM skills and knowledge. An assistant chief in a fire department in Texas (S#003)viewed engineers as subject matter experts (SMEs) who can provide crucial information thathelps emergency responders to assess situations and build action plans. In addition, theprofessionals highlighted importance roles of engineers during EDCS, being designers of safeindustrial processes and facilities (S#002) and the first line of defense
, with the goal of reducing teachers’ workload and enhancing instructional strategies.Dr. Mohsen M Dorodchi, University of North Carolina at Charlotte Dr. Dorodchi has been teaching in the field of computing for over 35 years of which 25 years as an educator. He has taught the majority of the courses in the computer science and engineering curriculum over the past 25 years such as introductory programming, data structures, databases, software engineering, system programming, etc. He has been involved in a number of National Science Foundation supported grant projects including Scholarship for STEM students (S-STEM), Researcher Practitioner Partnership (RPP), IUSE, and EAGER. ©American
every spring semester since.One research-cited reason that collegiate students leave engineering is a lack of engineering-related experiences during the first year of the program. Conventional first-year engineeringcurricula require students to complete multiple gateway courses prior to beginning disciplinarycoursework. These courses oftentimes deal with abstract material with little perceivedengineering context. As a result, students end up believing that all engineering courses will besimilar, and some ultimately leave for other professional arenas where applications can beunderstood much earlier in academic career(s). A key motivating factor in developing ENGR 111was to augment student desire to persist in engineering degree pursuit, by
corresponds to the theoretical side and simulations.Bibliography1. Groover M.P., Fundamentals of Modern Manufacturing Materials, Processes andSystems, 2nd Ed., Wiley, 2004.2. Eltantawie M.A.E., Design, Manufacture and Simulate a Hydraulic Bending Press, Int.J. Mech. Eng. & Rob. Res., Vol. 2, No. 1, January 2013.3. Kumar, M. et al., Design and Fabrication of Pneumatic Sheet Metal Cutting and BendingMachine, International Journal of Engineering Research and Advanced Technology,Special Volume 2, Issue 1, May, 2016.4. Salem, C.B. and Meslameni, W., A Numerical Investigation of the Springback in Air Vbending of Aluminum 1050 A, International Journal of Research in IndustrialEngineering, Vol. 11, No. 2, 119-133, 2022.5. Kalpakjian, S. and Schmid, S.R
: Undergraduate Research Increases Self-Efficacy and Career Ambitions for Underrepresented Students in STEM,” J. Res. Sci. Teach. https://doi.org/10.1002/tea.21341.[3] Watkins-Lewis, K. M., Dillon, H. E., Sliger, R., Becker, B., Cline, E. C., Greengrove, C., James, P. A., Kitali, A., and Scarcella, A., 2023, “Work In Progress: Multiple Mentor Model for Cross-Institutional Collaboration and Undergraduate Research,” American Society for Engineering Education, Baltimore MD.[4] Dillon, H., Cline, E. C., Hadnagy, E., Rodriguez, S. L., Sesko, A. K., Sliger, R. N., and Wilson, N., 2024, “Work in Progress: Transformation Course-Based Undergraduate Research Experience (T-CURE).” [Online]. Available: https://peer.asee.org/work-in
double coded. A Cohen’sKappa value of κ = 0.72 across all three rounds was achieved, indicating strong inter-raterreliability and agreement beyond chance [39].3. ResultsSince this is a research brief, only the results of the Delphi study after round 3 will be presentednext. The full set of results from rounds 1 through 3 will be presented in a forthcoming article.Relevance Ratings. The average relevance ratings (on a 1-5 scale) and standard deviations (s)for the various conceptions of judgment given in Table 1 during the final Delphi round rangedfrom 3.00 (s=1.17) to 4.88 (s=0.33) based on n=17 responses. Decision making (item 7 in Table1) had the highest average relevance of 4.88 and the smallest standard deviation of s=0.33,indicating the
from [9]: µ0 I ˆ B= ϕ (3) 2πswhere s represents the perpendicular distance from the wire, and ϕˆ is the azimuthal basis vector,and I is the current magnitude. When multiple sources (current-carrying wires) are present, theresulting magnetic field is the sum of all fields sourced by each individual wire, according to theprinciple of superposition. Therefore, it is possible to visualize the magnetic field associated witha system containing an arbitrary number of infinite current-carrying wires in a VR environment.The user may interactively manipulate the
prioritize user needs and societal impact.AcknowledgementThis material is based upon work supported by the National Science Foundation under Award No.#2315662. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National Science Foundation.ReferencesBureau of Labor Statistics. (2021). Employment in STEM occupations: U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/tables/stem-employment.htmCasale, C., Thomas, C. A., & Simmons, T. M. (2018). Developing empathetic learners. Journal of Thought, 52(3–4), 3–18.Cook, K. L., & Bush, S. B. (2018). Design thinking in integrated STEAM learning: Surveying the landscape
questions that relied heavily within the applying, analyzing,and evaluating levels of knowledge from Bloom’s revised taxonomy, building upon the lowerlevels of knowledge like remembering and understanding, but not asking questions that focusedwithin those lower levels. Differences between these collected domain-specific studies are basedheavily on the intentions of the surveys. Turner et al. [31]’s survey is intended for a widerpopulation of US adults and to establish a concept inventory for energy and power grid knowledge.Basic energy knowledge questions are included in Turner et al.’s survey, but a majority of thequestions require higher-level energy knowledge applied specifically to power grid use andinfrastructure. While Prince et al. [32]’s
framework for the BIM feasibility learning metricproposed in this paper.Proposed methodologyThe proposed methodology consists of four basic steps, and it is focused on a learningenvironment: 1. Students need to be familiar with the BEP framework that will be used, including shaping the part of the company (or entire company) that will be carried out in the BEP scheduling. 2. Students must develop the preliminary deliverables for each BEP framework step. 3. BEP scheduling: assigning time and resources (human resources and materials) to develop the S-Curve (accumulated cost -or expenditure over time). 4. Develop the BEP feasibility metric.1st step: BIM and BEP familiarizationThe Project execution Planning framework used in this
, consists of five 1-DoF rotational robotic linksplaced one next to the other and mounted on a 60 cm × 12 cm acrylic frame. Each link has aHitech HS-475HB servo motor, an Adafruit BNO055 Inertia Measurement Unit (IMU) sensor,and an STM32 Nucleo-L432KC microcontroller (refer to Figure 2). The Hitech HS-475HB Servomotor is the actuator of the robotic link, with a range of rotation of about 180o . It accepts a PulseCode Modulation (PCM) signal with a minimum of 500 µs and a maximum of 2500 µs of width.The Adafruit BNO055 IMU sensor is an intelligent 9-Axis absolute orientation sensor thatintegrates a triaxial 14-bit accelerometer, a triaxial 16-bit gyroscope with a range of ±2000o /s, atriaxial geomagnetic sensor, and its own 32-bit ARM Cortex M0
MeasuresIn this study, we explored students’ perceptions of the two different kinds of videos they watchedbefore coming to the class for hands-on experience with the programming topic. The data wascollected for eight programming topics (7 weeks), where videos were available to students eachweek through the course management system. The eight topics are Arrays (A), Structures andClasses (SC), Constructors and other tools (C), Operator overloading (OO), Strings (S), Pointers(P), Inheritance (I), and Polymorphism and Virtual functions (PV). Students were asked tocomplete a small survey describing their perception of each video. Each participant had about aweek to answer the survey questions after watching the videos (concept and coding videos) thatwere
diverse student populations, ultimately enhancing their sense ofbelonging and academic performance in STEM fields.AcknowledgementsThis work was supported through funding by the National Science Foundation IUSE Grant No.2111114/2111513. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundationReferences[1] National Center for Science and Engineering Statistics (NCSES), “Diversity and STEM: Women, Minorities, and Persons with Disabilities,” Alexandria, VA, 2023. Accessed: Oct. 24, 2024. [Online]. Available: https://ncses.nsf.gov/pubs/nsf23315/[2] R. M. Felder, G. N. Felder, and E. J. Dietz, “A
history component was therefore created, and launchedat the Japanese university, with Indonesian undergraduates also taking the course as remotelearners. To evaluate the effectiveness of the new interdisciplinary COIL, it was assessedalongside five other existing modules and the results were compared, with the key object ofinvestigation being the effect on participating students’ global competence. In total twoSTEM non-COIL modules, two STEM COIL modules (including the newly created one witha history component), and two history modules (one COIL and one non-COIL) had their pre-and post-program GC scores calculated using the Miville-Guzman Universality DiversityScale – Short Form (MGUDS-S). Results indicated that the two STEM non-COILs and
et al.(2024), Shorey et al. (2024), and Hsu & Silalahi (2024) to name a few, with the focus broadlyon ChatGPT, bots, and their societal effects without specific ties to education or laboratorycontexts.Considerable amount of literature aligns more closely with educational applications from theeducators’ perspective. Du et al. (2024), explore using NLP and large language models(LLMs) to automatically evaluate student project reports. Similarly, Caccavale et al. (2024) intheir article towards education 4.0, investigate the potential of LLMs as virtual tutors inchemical engineering. Tate et al. (2024)’s study examines the extent to which AI providesholistic essay scoring, while White et al. (2023) research focuses on assessing
. She is also serving as the Principal Investigator on the college’s NSF S-STEM grant, Building an Academic Community of Engineering Scholars.Carrie Kortegast, Northern Illinois University ©American Society for Engineering Education, 2025 Guides on the transfer journey: A qualitative study exploring the academic and social supports of community college transfer studentsIntroductionThis research brief explores the community college student’s transfer journey guided by thetransfer student capital and engineering identity frameworks. Academic supports, socialrelationships, and experiential learning are common programmatic approaches to fostering asense of belonging and engineering identity
democratizing generative AI solutions and bridging the gap between theoretical research and practical applications using AWS technologies. ©American Society for Engineering Education, 2025 Canary in the Mine Canary in the Mine: An LLM Augmented Survey ofDisciplinary Complaints to the Ordre des ingénieurs du Québec (OIQ) Abstract This study investigates disciplinary incidents involving engineers in Quebec, shed- ding light on critical gaps in engineering education. Through a comprehensive review of the disciplinary register of the Ordre des ingénieurs du Québec (OIQ)’s disciplinary register for 2010 to
approaches in engineering education.Future research should examine how these different approaches to spatial reasoning might beeffectively combined in engineering education to prepare students for both technical precisionand practical problem-solving. Additionally, investigating how these findings translate acrossdifferent craft activities and engineering contexts could provide valuable insights forcurriculum development.ReferencesBailey, S. K. T., & Sims, V. K. (2014). Self-reported craft expertise predicts maintenance of spatial ability in old age. Cognitive Processing, 15(2), 227-231. https://doi.org/10.1007/s10339-013-0596-7Casey, B. M., Andrews, N., Schindler, H., Kersh, J. E., Samper, A., & Copley, J. (2008). The
and Health-related Outcomes in a National Sample of College Students,” Am. J. Health Educ., vol. 51, no. 6, pp. 383–394, 2020, doi: 10.1080/19325037.2020.1822242.[4] S. K. Lipson, J. Raifman, S. Abelson, and S. L. Reisner, “Gender minority mental health in the US: Results of a national survey on college campuses,” Am. J. Prev. Med., vol. 57, no. 3, pp. 293–301, 2019.[5] E. De Pillis and L. De Pillis, “Are engineering schools masculine and authoritarian? The mission statements say yes,” Journal of Diversity in Higher Education, vol. 1, no. 1. p. 33, 2008.[6] J. C. Garvey and C. V. Dolan, “Queer and Trans College Student Success,” in Higher Education: Handbook of Theory and Research: Volume 36, L. W. Perna, Ed., in