[8] as well as courses utilizing active learning rather than a lecture-based approach have beenshown to predict GPA among engineering students [9]. In a further effort to close this divide, a multidisciplinary Scholarships for Science,Technology, Engineering, and Mathematics (S-STEM) National Science Foundation (NSF)program was undertaken to recruit, retain, and develop leadership skills in underrepresentedstudents majoring in electrical, computer, and software engineering (ECSE) at a largeMidwestern university (computer science majors were not housed in this department). It washypothesized that the program would result in higher academic performance among programparticipants than in their non-participating peers, as indicated by their
makerspaces critically calls attention to the practices of makerspaceswhich may be inequitable. However, makerspace practitioners rarely engage or are engagedin this type of work. There is an opportunity to bring together the generous and the critical tosupport the design of more equitable university makerspaces.Different stakeholders within engineering education have different definitions of equitywhich are drawn from their lived experiences. The purpose of our framework is not to putforth a definition of equity we believe everyone should use, rather we believe the frameworkcan help us structure conversations on equity in makerspaces through a shared understanding.Against this backdrop, our research is informed by Vossoughi et al.’s definition
Administration (2012) from the University of Central Florida. Currently he is working on getting his Doctorate in Education - Measurement, Methodology, and Analysis track.Dr. Lisa Massi, University of Central Florida Dr. Lisa Massi is the Accreditation and Program Approval Specialist II for the College of Engineering & Computer Science at the University of Central Florida. She has been Co-PI of two NSF-funded S-STEM programs and program evaluator for three NSF-funded REU programs. Her research interests include factors that impact student persistence, professional identity development, and cultural identity in the STEM fields.Ms. Rachel Straney, University of Central Florida Rachel Straney is an Applications
Industrial Arts Education, Pennsylvania State University OSU faculty member since 1984 Currently in the STEM education program 2013 InterLin Ding, The Ohio State University Lin Ding, Ph.D., is an associate professor in the Department of Teaching and Learning at The Ohio State University. Dr. Dingˆa C™s scholarly interests lie in discipline-based STEM education research. His work includes theoretical and empirical investigation ©American Society for Engineering Education, 2019 Work-in-Progress: Inclusive Learning and Teaching Strategies or Effective Course Design? Constructing Significant Learning Experiences in Low and High Achieving
work may include women who were on the verge of choosing engineering but choseanother career path. This work may also investigate other groups within the U.S. and Moroccancultures. A quantitative approach may be implemented to produce more generalizable results thatmay produce a broader impact.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant N.1927125. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] R. A. Ellis, “Is U.S. Science and Technology Adrift,” Science and Technology, 2007. .[2] T. U. . News, “The U.S. News/Raytheon STEM
diversity ofperspective and experience. To help all students develop the skills necessary to attract, retain,and consider the needs of diverse populations, engineering students need to consider socialresponsibility in the context of their engineering careers and scope of practice [6].To help promote engineering students’ ability to develop their social responsibility capacity, theUniversity of Massachusetts Lowell S-STEM program began with an initial plan to recruit threecohorts of 8 low-income, high-achieving students (24 students total) who wish to pursue a careerin higher education (e.g., faculty at community colleges or universities) and engage them inongoing social responsibility and identity formation curriculum. Supporting scholars from
analytical methods including natural languageprocessing (NLP) could enhance analysis accuracy and contribute to enhancing the overalldiverse and inclusive learning environment. Beyond these considerations, extending the analysisto include academic writing materials from additional years could provide a more comprehensiveview of how language practices evolve over time. This could offer deeper insights into theeffectiveness of initiatives focused on fostering inclusive language use. ReferencesAeby, P., Fong, R., Isaac, S., & Tormey, R. (2019). The impact of gender on engineering students’ group work experiences. International Journal of Engineering Education, 35(3), 756–765.Alfred, M. V., Ray
membrane peroxidation, in turn, is a consequence of oxidative stress caused by increased level of ozone and peroxidated organic acids in urbanized regions. [1] Koissi N., L¨onnberg H.: (2007) Synthesis of modified nucleosides for incorporation of formyletheno and carboxyetheno adducts of adenine nucleosides into oligonucleotides. Nucleosides, Nucleotides & Nucleic Acids 26, 1203 [2] Ruohola A-M., Koissi N., Andersson S, Lepist¨o I., Neuvonen K., Mikkola S., L¨onnberg H.: (2004) Reaction of 9-substituted guanines with bromomalonaldehyde in aqueous solution predominantly yield glyoxal derived adducts. Org. Biomol. Chem. 2, 1943 [3] Neuvonen K., Koissi N., L¨onnberg H.: (2002) Condensation of triformylmethane with
identity affords more experiences withwhich diverse individuals can identify20 and feel welcome as participants (i.e., “engineering isfor me, too.”). Similar to the BME example, an engineering identity that values both social andtechnical dimensions presents more values and premises with which individuals can identify thusleading to more “whole-minded engineers.”Research & Development PlanThis NSF-funded RFE study utilizes a design thinking approach to develop solution(s) thataddress our three interrelated objectives: to better prepare engineers for today’s workforce, tobroaden understandings of engineering practice as both social and technical, and to createand sustain more diverse and inclusionary engineering programs. We are involving
, minorities, and persons with disabilities in science and engineering: 2013 (Special Report NSF 13- 304). Arlington, VA: Author. Retrieved from http://www.nsf.gov/statistics/wmpd/[2] Astin, A. W. (1993). What matters in college? Four critical years revisited. San Francisco: Jossey-Bass.[3] Tinto, V. (1993). Leaving college: Rethinking the causes and cures of student attrition (2nd ed.). Chicago, IL: University of Chicago Press.[4] Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, (Supplement: Organizations and Institutions: Sociological and Economic Approaches to the Analysis of Social Structure), S95-S120.[5] Bourdieu, P. (1986). The forms of capital. In J
this summer program.References[1] "Engage-to-Excel: Producing One Million Additional College Graduates with Degrees in Science,Technology, Engineering, and Mathematics," Executive Office of the President Washington, D.C.2012.[2] C. Vest, "The Image Problem for Engineering," The Bridge vol. 41, pp. 5-11, 2011.[3] S.-A. Allen-Ramdial and A. G. Campbell, "Reimagining the Pipeline Advancing STEM Diversity, Persistence, and Success," Bioscience, vol. 64, pp. 612-618, 2014.[4] NAS, NAE, and IOM, "Rising Above the Gathering Storm," National Academy of Sciences2007.[5] N. Bell, S. Brainard, P. Campbell, M. Coomes, E. Derrick, M. Gomez, et al., "In Pursuit of a Diverse Science, Technology, Engineering, and
, as well as several years of electrical and mechanical engineering design experience as a practicing engineer. He received his Bachelor of Science degree in Engineering from Swarthmore College, his Master’s of Education degree from the University of Massachusetts, and a Master’s of Science in Mechanical Engineering and Doctorate in Engineering Education from Purdue University.Ms. Ann E. Delaney, Boise State University Ann Delaney is the Diversity, Equity, and Inclusion Coordinator and the SAGE Scholars Program Director in the College of Engineering at Boise State University. SAGE Scholars is an NSF-funded S-STEM scholarship program which is part of the Redshirting in Engineering Consortium. As part of this program
gratefully acknowledge the alumni participants in this study and the contributions ofour research team. Finally, we acknowledge the generous support of this work from theHasso Plattner Design Thinking Research Program.References1. National Academy of Engineering, U. S. (2004). The engineer of 2020: Visions of engineering in the new century. Washington, DC: National Academies Press.2. Wigner, A., Lande, M., & Jordan, S. S. (2016). How can maker skills fit in with accreditation demands for undergraduate engineering programs?. In 2016 ASEE Annual Conference & Exposition.3. Trilling, B., & Fadel, C. (2009). 21st century skills: Learning for life in our times. John Wiley & Sons.4. ABET Student Learning Outcomes, Retrieved from
teachers made in-the-moment that didand did not align with the planned curricular materials.Teachers’ instructional decision making To examine the kinds of supports that teachers use during instruction, we adapted theGess-Newsome (2015) instructional decision-making model that synthesizes other existingmodels of teacher professional knowledge (e.g., Ball et al., 2008; Grossman, 1990; Marks, 1990)as it articulates relationships among professional knowledge and teachers’ classroom practice. Inparticular, this framework helps articulate the ways that teachers’ topic-specific pedagogicalknowledge (TSPK), amplifiers and filters (i.e., teacher beliefs and prior knowledge), andteachers’ personal pedagogical content knowledge and skill (PCK&S
, broadening participation initiatives, and S-STEM and LSAMP programs.Dr. Susan M Lord, University of San Diego Susan M. Lord received a B.S. from Cornell University and the M.S. and Ph.D. from Stanford Univer- sity. She is currently Professor and Chair of Integrated Engineering at the University of San Diego. Her teaching and research interests include inclusive pedagogies, electronics, optoelectronics, materials sci- ence, first year engineering courses, feminist and liberative pedagogies, engineering student persistence, and student autonomy. Her research has been sponsored by the National Science Foundation (NSF). Dr. Lord is a fellow of the ASEE and IEEE and is active in the engineering education community including
Research and Education c American Society for Engineering Education, 2020 Implementation of an Introductory Engineering Course and its Impact on Students’ Academic Success and RetentionAbstractThis Complete Research paper will describe the implementation of an introductory course(ENGR194) for first semester engineering students. The course is meant to improve retention andacademic success of engineering first-year students in the College of Engineering at the Universityof Illinois at Chicago. The implementation of this course is part of an ongoing National ScienceFoundation (NSF) Scholarships in Science, Technology, Engineering, and Math (S-STEM)project. This paper reports on the impact of combinatorial
is a paradox of knowingwhat exactly wholly “Scientific” and “Non-Scientific” is and where everyone’s teaching,learning, and research practices lie on this spectrum. Deciding on important technological andpedagogical/philosophical underpinnings for “Indigenizing the curriculum” may help situate therole of AI more transparently and equitably. Using AI programs to thematize the perspectivesand experiences of individuals, groups, and organizations, and using them as a starting point toaddress Indigenous-related concerns in the curriculum may also be useful.References[1] M. Fee, “The Truth and Reconciliation Commission of Canada. Canadian Literature,” 2012.[2] M. Belarde-Lewis, S. Cote-Meek, M. Parkhurst, N. A. D., Duarte, M. Dutta
engineering transfer partnership when we began our S-STEMproject. We now know our preconceived notions only lightly orbit the current reality.” Thissaying has become symbol of our NSF DUE (Division of Undergraduate Education)-funded S-STEM project, the Kansas City Urban Renewal Engineering (KCURE) scholarship program.Now in its third operational year, the KCURE program supports the transfer of low-income civiland mechanical engineering students. When our research team applied for S-STEM funding, weassumed we had a solid engineering transfer student partnership between MetropolitanCommunity College (MCC) and University of Missouri-Kansas City (UMKC).However, the MCC engineering coordinator’s retirement three years into KCURE programoperations
. student in Industrial/Organizational Psychology at the University of Tulsa. Page 26.1544.1 c American Society for Engineering Education, 2015 The Impact of International Research Experiences on Undergraduate Learning1.0 IntroductionThis paper compares the learning outcomes for students participating in domestic andinternational research experiences. This question is important given that science andengineering (S&E) research is increasingly collaborative and international in scope withresearch teams comprised of faculty and student researchers in multiple
improveretention, researchers have applied asset-based perspectives to studying retention of marginalizedstudents. This approach often emphasizes the role of social capital [1], [11] and socializers [12]–[14] as primary drivers of motivation to pursue STEM education and careers. This present paperbegins to unpack the unique relationship between socializers and the decision students atminority serving institutions (MSIs) make to pursue STEM. We report on the experiences ofstudents gathered using qualitative methods and examined through the lens of expectancy valuetheoretical framework.Theoretical Framework: Expectancy-ValueMotivation to pursue a career in STEM can be modeled through Eccles et al.'s Expectancy-Valuetheory (EV) [15]. EV establishes a direct
Statistics [8], first-generation college students were characterizedas students’ whose parents did not have postsecondary educational experience. Another studystated, “first-generation college students include students whose parents may have some college,postsecondary certificate(s), or associate’s degree, but not a bachelor’s degree” and this definitionclosely aligns with the definition set forth by the Federal TRiO program (i.e., outreach and studentservice programs created to serve students from disadvantaged backgrounds) [9, p. 8]. There areinconsistencies and numerous ways in defining first-generation college students, so much so thatWhitley et al. [10] found at least six different definitions. However, regardless of how first-generation
through undergraduate education. This frame is visually represented inFigure 2. Figure 2 Visual Representation of Relationships between Local Standards, National Directives, Higher Education Outcomes and Literature Synthesized for Engineering Epistemic Frame The epistemic frame elements are skills(S), knowledge(K), identity(I), values(V), andepistemology(E), and have been coded as such for analysis. Each parent code (S,K,I,V,E) has aset of sub-codes that allow for macro and micro analysis. The nomenclature for each code isparentcode.subcode, for example k.localknowledge represents the sub-code localknowledgeunder the parent code K. (but indicated in lowercase). Figure 2 shows how sub-codes
Techniques,” AK Peters, Ltd.[8] Nistér, D., Naroditsky, O. & Bergen, J., 2006, “Visual Odometry for Ground Vehicle Applications,” Journal of Field Robotics, 23(1) 3-20.[9] DeSouza, G. N. & Kak, A. C., 2002, “Vision for mobile robot navigation: A survey,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(2) 237-267.[10] Zhang, M., Zhang, Z., Esche, S. K. & Chassapis, C., 2013, “Universal Range Data Acquisition for Educational Laboratories Using Microsoft Kinect,” Proceedings of the 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia, USA, June 23-26.[11] Zhang, M., Zhang, Z., Aziz, E.-S., Esche, S. K. & Chassapis, C., 2013, “Kinect-Based Universal Range Sensor for Laboratory
have been calls to develop and deploy graduate STEM education modelsthat prepare students for careers outside academia. Few innovations have emerged to meet students attheir current skill and preparation levels when entering their graduate studies while also consideringstudents' individual desired career paths. The U.S.'s current approach to graduate STEM education doesnot emphasize preparing students with professional skills and experience outside the lab. Further,students from differing socioeconomic and underserved backgrounds are often not adequatelysupported. Through a National Science Foundation Innovations in Graduate Education (IGE) award, theUniversity of Pittsburgh Swanson School of Engineering is creating and validating a
design their class.Among the multiple ways to reveal collaborative problem-solving processes, temporal submissionpatterns is one that is more scalable and generalizable in Computer Science education. In thispaper, we provide a temporal analysis of a large dataset of students’ submissions to collaborativelearning assignments in an upper-level database course offered at a large public university. Thelog data was collected from an online assessment and learning system, containing the timestampsof each student’s submissions to a problem on the collaborative assignment. Each submission waslabeled as quick (Q), medium (M), or slow (S) based on its duration and whether it was shorter orlonger than the 25th and 75th percentile. Sequential compacting and
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
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
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