. Kuratko, G. Fisher, and D. B. Audretsch, "Unraveling the entrepreneurial mindset," Small Business Economics, vol. 57, pp. 1681-1691, 2021.[3] R. J. Pidduck, D. R. Clark, and G. Lumpkin, "Entrepreneurial mindset: Dispositional beliefs, opportunity beliefs, and entrepreneurial behavior," Journal of Small Business Management, vol. 61, no. 1, pp. 45-79, 2023.[4] R. D. Ireland, M. A. Hitt, and D. G. Sirmon, "A model of strategic entrepreneurship: The construct and its dimensions," Journal of management, vol. 29, no. 6, pp. 963-989, 2003.[5] S. E. Zappe, "Avoiding Construct Confusion: An Attribute-Focused Approach to Assessing Entrepreneurial Mindset," Advances in Engineering Education, vol
definition highlights the depth and complexity of successful mentoring. After a close review of theliterature, we opted for sticking to [31]’s identification of 4 latent variables that were validated by [32] in 2009 forthe College Student Mentoring Scale. The variables underlying the mentor-protégé relationship at the collegiatelevel involve (a) Psychological and Emotional support, (b) Degree and Career Support, (c) Academic SubjectKnowledge Support, and (d) the Existence of a Role Model. While more testing is needed to validate theseconstructs in a variety of settings, it provides an important starting point for a contextually sensitive mentoringstudy. A definition with this level of theoretical specificity can be helpful for assessing program
of engineering disciplines and subdisciplines, diversemethods for learning engineering have been developed encompassing both theoretical andpractical aspects.The call for engineering education reform seems to be continuous [1-9]. On the one hand,engineering curricula are slow to change, but on the other hand the target keeps moving. In the1990’s there was a sense that engineering education was out of touch with the actual practice ofengineering. In response, design has become a more prominent part of most engineeringcurricula. In recent years, globalization and the commoditization of many engineering functionshas lent an air of uncertainty to the direction that engineering education should go. While entirecurricula will likely undergo some
of cause and effectdirect thinking and reverse thinking when the final velocity is given instead of the initial velocity(Figure 1). The ill-structured problem of giving the initial velocity direction without magnitudeand final velocity direction without magnitude in cell phone camera shots as the projectileinformation has been given routinely to gauge the development of fluid intelligence when theelapsed time between the two camera shots is known. In such a case, the position of the (9.8m/s/s * t) vertical vector needs to be moved sideways until it would fit into a triangle since thelength of v0 and vf are not known. The velocity addition with a parallelogram construction inconstant acceleration was devised for ball throwing using
comparemultiple student files to an instructor's grading key. CADcompare augments the grading processof technical and engineering CAD drawings by highlighting differences that can be easily missedby a human grader, such as incorrect line type(s), color(s), or double lines (i.e., lines on top of eachother). Some CAD software has built-in comparison tools, however, none of the comparison toolsaccept PDF files to compare, are web-based applications, or can compare multiple student files atonce like CADcompare can. Grading engineering CAD drawings with accuracy and fairness cantake a lot of time, the intended use of CADcompare is to act as a grading tool to help instructorsgrade faster, more accurately, and without unintended bias. Spring 2017, a Windows
description, methodology and results are presentedin the following sections.Description of the Senior Design ProjectIn this senior design project, students should minimize the energy consumption of an industrialrobot without changing its planned task defined by manufacturers. The LR Mate 200iD/4S R-30iB Fanuc industrial robot [13] was employed in the research study defined in this project. Thisrobot is shown in Fig. 1 and has 6 axes, with 550 mm reach area. The motion range of Joints 1 to6 of this robot is 340°, 230°, 402°, 380°, 240°, and 720°, respectively. The maximum speed ofJoints 1 to 6 is also 460°/s, 460°/s, 520°/s, 560°/s, 240°/s, 720°/s, respectively. The maximumpayload capacity of this robot is 4 kg. The ultimate goal is to develop MATLAB
skills.The testing will be done with students from varied backgrounds to assess how individuals studyingin a variety of domains are impacted by their beliefs about knowledge and their own abilities.Subsequently, the researchers will develop interventions that are applicable in existing curricula.Such interventions will be informed by the knowledge that designing and building are correlatedwith a high level of spatial skills.Bibliography1. Martín-Dorta, N., Saorín, S. J., & Contero, M. (2008). Development of a fast remedial course to improve the spatial abilities of engineering students. Journal of Engineering Education, 97(4), 505-513.2. Kell, H., Lubinski, D., Benbow, C., & Steiger, J. (2013). Creativity and technical innovation: Spatial
the criminal justice system. Dr. Barringer has been PI or co-PI on grants in excess of one million dollars. He is truly committed to the area of diversity and all of its associated benefits. c American Society for Engineering Education, 2017 A Case Study on Moving the STEM Fence: Exposing STEM to Minority Youth Who are Oftentimes Not Aware of Such OpportunitiesAbstractFlorida Gulf Coast University (FGCU) in partnership with the NAACP of Collier County hosteda two-week, on-campus, STEM camp during summer(s) 2014, 2015, and 2016. The programobjectives were to improve students’ skills in mathematics; expose students to real-world mathand its application in related career fields; increase the
” program, which is facilitated once a week at a science museum and isdesigned for children aged 3-6 years old. Within this context, we have set up an engineeringstation, where children and adults are invited to engage in engineering design-build activitieswith the understanding that participating in these activities also entails participation in theresearch study. The child(ren) and adult(s) attend to two different engineering challenges(“design a tower as tall as this plant out of foam blocks” and “design as tall a tower as you canusing the Dado Squares”), working on each task until the child is ready to be done, while video-recorders capture the family’s interactions (see Figure 1). The two challenges were selected tocapture variation based on
Missouri S&T campus. A member of both IEEE and ASEE, she is also a Past-Chair of the Midwest Section of ASEE.Mrs. Barbara Jean Wilkins, Missouri University of Science and Technology Barbara Wilkins is an Instructional Designer in Educational Technology at Missouri S&T. She supports faculty in the effective use of technology in the classroom as well as blended/online course development. Barb has a B.A. in History with a Minor in Mathematics and an MST in Mathematics earned from the University of Missouri - Rolla, now Missouri S&T. In addition to her work in Educational Technology, she teaches college algebra for the Missouri S&T Department of Mathematics. Prior to joining S&T, Barb taught in a local
2011 include oChinchilla, Rigoberto, Harris, Harold, Facial Recognition System Screening Evaluation Methodology for Complexion Biases: Proceedings of the 2011 American Society for Engineering Education ASEE, Conference. Vancouver Canada, June 26-Jun30 2011 oChinchilla, Rigoberto, S. Guccione, J. Tillman, Wind Power Technologies in the United States: A Tech- nical Comparison between Vertical and Horizontal Axis Wind Turbines: Journal Of Industrial Technology Volume 27, Number 1 - January 2011 through March 2011 Dr. Chinchilla can be reached at rchinchilla@eiu.edu. Page 25.583.1 c
obtained using function minimization (fminsearch in Matlab) and themathematical equations linking the model and the actual tests results. The complete procedureand equations can be found in [7].Φ( s) G =U ( s ) s ( s + as + b)( s + c) 2 (1) -1with a=3.5 sec, b=177, c=4 sec and G=8126 rad/sec*volt. To control this system a novel PID configuration is used. This novel PID is named “PID-Dual-Loop” (later referenced as PIDDL in this paper) and has been proposed by DeSantis [8].One of the main advantage of this controller is that the tuning of its gains is
Page 6.512.4 Figure 3. Fall '97 Overall "C" grade Freshman-Engineering Student Performance.Proceedings of the 2001 American Society for Engineering Education Annual Conference & ExpositionCopyright O 2001, American Society for Engineering EducationA display of all Fall '97 students grades in EF1015 versus their respective SAT scores isdisplayed in Figure 4 and provided from Figure 1. The figure is derived by takingvertical slices of Figure 1 when the “EF1015 Grade”s are “0.0” (“F”), “1.0” (“D”), “1.7”(“C-“), “2.0” (“C”), “3.0” (“B”), and “4.0” (“A”). EF1015 Grade 7 6 5
panel, interdisciplinary collaboration results inan emergent field [ABC] that requires a complete rethinking and development frominterdisciplinary fields A, B, and C. In the bottom panel, multidisciplinary collaboration, overtime, might bring A, B, and C disciplines “closer” but does not result in an emergent discipline.Note that //’s on the dashed lines denote the independence between the disciplines while the solid||’s represents the existence of commonalities between disciplines.Over time, these organic fusions induced by inter-/trans-disciplinary approaches cannot beeffectively and exhaustively categorized into any single, isolated, independent mother fields(e.g., squares A, B or C Figure 1, top left panel). The field of interdisciplinary
. Students in this knowledge-deficitsituation generally benefit from direct interaction with an instructor, such as in the traditionalvisit to an instructor‟s office for private one-on-one tutoring. In this personal interaction, theinstructor will assess „in real time‟ the student‟s understanding of any number of prerequisiteskills and knowledge and will adjust the direction and pace of the meeting, and ideally respondwith sensitivity, insight, and accuracy at teach point of assessment during the tutorial session.The long-term goal of this effort is to create, using interactive software, an effective substitutefor the one-on-one, across-the-desk tutorial experience for the advanced placement engineeringor engineering technology student needing
Doped Fiber Laser (EDFL) pulse (Clark ERFlaser) was dispersed across the AOM’s aperture and was then modulated in aconventional pulse shaper. The past experiment tested 87 channels with channel-spacingof 0.41 nm using a 518-MHz modulator, and 120 channels with channel-spacing of 0.29nm using an 148-MHz modulator. In both cases, the full width at half maximum(FWHM) of the pulse spectrum was 35 nm, and the updating rate of the AOMs was 3 µs.Starting from the original pulses, this modulation creates time slots of 43 ps and 63.4 ps;thus the equivalent speed of the transmission will be 2.0 Tb/s and 1.9 Tb/s in a highlymultiplexed system. Such a system requires a terahertz-multiplexing device, such as theTOAD 18-20; similar devices can be used as
candidates for teacheDr. Scott R. Bartholomew, Brigham Young University Scott R. Bartholomew, PhD. is an assistant professor of Technology & Engineering Studies at Brigham Young University. Previously he taught Technology and Engineering classes at the middle school and university level.Ms. Wonki Lee, Purdue University, West Lafayette Wonki Lee is pursuing a PhD in Curriculum and Instructionˆa C™s Literacy and Language program at Purdue University. She received her B.A and M.S in Korean Language Education from Seoul National University, South Korea. She served culturally and linguisticalJessica Marie YauneyMr. Scott Thorne, Purdue University, West Lafayette Scott Thorne is a doctoral candidate at Purdue University in
in theUniversity of Missouri system, close to 90 percent of the 7,000-plus students enrolled areseeking degrees in engineering or hard sciences. There are approximately 440 full- and part-timefaculty members, the majority of which are tenured or tenure-track. Eighty-three percent are inSTEM disciplines.Many of these professors were teaching several years ago when it was common for freshmen inpacked lecture halls to hear, “Look to your right; look to your left. One of you won’t be here thistime next year.” Although that is no longer the accepted slogan at Missouri S&T, and studentsgenerally hear more empathetic messages from faculty on campus dedicated to their success,teaching strategies have not evolved all that much over the years
: Neural Networks, ART, FAM, GFAM, GEAM, Hybrid, Genetic Algorithm I. INTRODUCTIONTHE Adaptive Resonance Theory (ART) architecture was developed by Grossberg (1976) [1].In 1992 Mr. Carpenter developed a Neural Network (NN) called Fuzzy ARTMAP (FAM) [2].FAM architectures became very popular and were used in the literature to successfully solvemany classification problems. Researchers then developed other ART NN‟s such as EAM [5]and GAM [6] that used different category representations to attain better performance and toreduce the effect of a phenomenon called Category Proliferation (CP) (Creating extra categoriesfor better performance especially when used with noisy data). The authors noted that FAM,GAM and EAM
-series statistical overview of the ARIMA approach and recurrent neural net-works (RNNs), specifically long-short-term memory (LSTM) TABLE Imodels are as follows. P ROJECTED G ROWTH R ATE S CENARIOS (OVERALL USA)A. Building Our Model: ARIMA and LSTM Growth Rate Type Value To create the ARIMA model, we first specify an (p, d, q) Average Growth Rate 0.0345 (3.45%)configuration and fit it to the enrollment data.The tuple (5,1,0) Maximum Growth Rate (Optimistic) 0.1146 (11.46%)represents
missed some important articles published before 2017, which could haveprovided some more critical insights into this study. A potential direction for future researchwould be exploring the use of all social media platforms in engineering and its impact on studentlearning.REFERENCESThe articles included in the preliminary review are marked with an asterisk (*).[1] N. S. Hawi and M. Samaha, "The relations among social media addiction, self-esteem, and life satisfaction in university students," Social Science Computer Review, vol. 35, no. 5, pp. 576-586, 2017.[2] I. C. Drivas, D. Kouis, D. Kyriaki-Manessi, and F. Giannakopoulou, "Social Media Analytics and Metrics for Improving Users Engagement," Knowledge, vol. 2, no. 2, pp
responsibility, and practical skills through a student-centred pedagogy[75]. Thus, these teaching methodologies can be considered like one another.PBL is a pedagogical approach that has gained popularity in academic circles due to its emphasison integrated and cohesive learning activities [76]. Barber [77] contends that PBL, as a newteaching model, places students at the forefront and redefines the role of the teacher. Mills [71]reports positive outcomes of PBL in engineering education, demonstrating its effectiveness forboth students and teachers over a decade-long evaluation. In engineering education, PBL hasemerged as one of the most frequently used teaching methods, known for promoting designthinking. According to Van 's [79] study, an 'engineering
marginalized students in the engineering college, which consists of 12 disciplinary departments [1]. Our previous quantitative studyfound that students marginalized on the bases of gender, race/ethnicity, and/or household incomelevel experienced both disproportionately low representation rates and diminished outcomes. Weare interested in determining how the quantitative results are impacted by a focus specifically onaerospace engineering students.Existing research on retention of diverse students in aerospace engineering undergraduate programs is scarce. General reports of demographical representation are published annually by theAmerican Society of Engineering Education [2]. Orr et al.’s 2015 study [3] was effectively thefirst study to
) to store large amounts of data. Itis designed to make web scale computing easier for developers. The AS3 provides asimple web services interface that can be used to store and retrieve any amount of data, atany time, from anywhere on the web5. It gives any developers access to the same highlyscalable, reliable, secure, fast, inexpensive infrastructure that Amazon uses to run its ownglobal network of web sites. The service aims to maximize benefits of scale and to passthose benefits on to developers. Data stored in AS3 is secured by default. AS3 supportsmultiple access control mechanisms, as well as encryption for both secure transit andsecure storage on disk. With AS3’s data protection features, the user can protect data
, as a whole, the educational system has fallen short inSTEM education. Oddly universities and institutions7 appear to produce competent scientists andmathematicians but they deliver only mediocre engineering graduates when consideringpractitioner needs. Decades back some forecasted an erosion of the nation‟s ability to technicallycompete in the emerging world market. Others warned of serious losses in market share thatwould be accompanied by economic downturns in the U.S. and subsequent job shortages. Todaymuch of that prognostication appears to have materialized.Over the years opinions varied, sometimes disagreeing, as to the best remedies for turningengineering education more toward the costumers‟ needs (i.e. industry) but always there was
,including during their pre-college careers. Radunzel et al.’s recent study [7, p. 1] found that“students with both expressed and measured interest in STEM were more likely to persist andcomplete a STEM degree than those with either expressed or measured interest only, as well asthose with no interest in STEM.” Furthermore, research is investigating the troubling phenomenaof extended time to finish college and higher drop-out rates for STEM programs as compared toothers [e.g., 8].STEM by the numbersPines [9] writes that “one of the greatest and most enduring strengths of the United States hasbeen its ability to attract global talent in science, technology, engineering, and mathematics(STEM) to bolster its economic and technological competitiveness
. Mosterman et al., “Virtual engineering laboratories: Design and experiments,” J. Eng. Educ., vol. 83, no. 3, pp. 279–285, 1994, doi: 10.1002/j.2168- 9830.1994.tb01116.x.[3] M. Abdulwahed and Z. K. Nagy, “The impact of the virtual lab on the hands-on lab learning outcomes, a two years empirical study,” Proc. 20th Annu. Conf. Australas. Assoc. Eng. Educ. Eng. Curric., no. March, pp. 255–260, 2009.[4] M. D. Koretsky and A. J. Magana, “Using technology to enhance learning and engagement in engineering,” Adv. Eng. Educ., vol. 7, no. 2, pp. 1–53, 2019.[5] R. Heradio, L. De La Torre, D. Galan, F. J. Cabrerizo, E. Herrera-Viedma, and S. Dormido, “Virtual and Remote Labs in Education: a Bibliometric Analysis