conceptual design (when the physical artifact does not exist) where designers runmental simulations of the design works and predict the sources of flaws in the performance [31].However, design-based troubleshooting also happens during or after testing, when designersactively look for patterns of behaviors to discover the flaw and the problematic area(s) [17].Crismond [32] has identified four steps to systematically conduct designed-basedtroubleshooting including observing, diagnosing, explaining and suggesting a remedy. Duringobserving, designers observe the performance of their design. They then diagnose theproblematic area, explain the causes and finally suggest remedy to fix the problematic area.Once a problematic area is identified and the
91.5% Person of Color 3.2% Prefer not to answer 0.9% Prefer not to answer 5.8% 1. Participants chose all that applied from: Male, Female, Transgender (i.e., gender identity differs from biological sex assigned at birth), Genderqueer (i.e., do not subscribe to traditional genders), Agender (i.e., identifies as not belonging to any gender), Cisgender (i.e., gender identity matches the biological identity assigned at birth), not listed, or prefer not to answer. 2. The first person in immediate family [e.g., mother, father, sibling(s), grandparent(s)] to attend college 3. Participants chose all that applied from
ground stations are RF ground stations and use either aparabolic dish antenna or a Yagi antenna [1]. Parabolic dish antennas are shaped as concaveshell, while Yagi antennas have small perpendicular rods that run along a long main rod. Thebenefits of parabolic dish antennas are that they are less complex, inexpensive, and highlydirectional [10]. The detriment of parabolic dish antennas is that their size depends heavily ongain and desired frequency [10]. The benefits of a Yagi antenna are that they are highlydirectional and relatively inexpensive [10]. The detriments are that they have low gains if small,and high gains if large, therefore, large bandwidth results in a larger design [10]. Parabolic dishantennas tend to be used in the S-band, while
over several semesters in paper format demonstrated thatwhile most students appeared to grasp the underlying intent of the question, it was felt that theintroductory statement would help students who might otherwise miss the point of the exercise’smain question(s). Once the student reads the Introductory Statement and selects a continue button,he/she is presented with the main question(s) of the writing exercise. Figure 2 and Figure 3 containthe Question Statement for writing exercises 1 and 2, respectively. Consider the circuit shown below and assume that the elements are ideal. Explain what happens to the power associated with VS, R1, R2 and R3 as the resistance of R2 decreases while the other component values (VS, R1 and R3) remain
] D. Boud and G. I. Feletti, "Changing problem-based learning," in The challenge of problem-based learning: Routledge, 2013, pp. 9-22.[6] J. R. Savery, "Overview of problem-based learning: Definitions and distinctions," Essential readings in problem-based learning: Exploring and extending the legacy of Howard S. Barrows, vol. 9, no. 2, pp. 5-15, 2015.[7] S. Cocco, "Student leadership development: The contribution of project-based learning," Unpublished Master’s thesis. Royal Roads University, Victoria, BC, 2006.[8] P. A. Kirschner, J. Sweller, and R. E. Clark, "Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential
educators of common pitfalls and better approaches forMohr’s circle instruction. However, most of the literature is focused on either mechanics orstructural engineering courses, with little or no references concerning the education of Mohr’scircle in geotechnical engineering courses. While the concept of Mohr’s circle is notfundamentally different in geotechnical applications when compared to structural or mechanicsapplications, it still presents challenges for many learners throughout their undergraduateeducation. These challenges include the differences in sign conventions for geotechnicalapplications, the continued complexity of the topic, and that the students have not mastered theconcept from the previous course(s).A phenomenographic analysis
] analyzed the “low-choice culture” of engineering curricula, particularly incontrast to other fields of study. In the context of new research demonstrating the value of selfdetermination or autonomy for students in motivating learning, enhancing self-efficacy, andsupporting persistence, the relative inflexibility of engineering curricula stood out starkly. Withinindividual courses, studies have shown the “power of choice” to positively influence studentoutcomes, for example, when students may choose from among a menu of design projects[45, 46], and recommendations have been made for the design of self-determination supportiveengineering-student learning experiences [47, 48]. However, Forbes, et al.,’s statistical analysis ofthe curricula at 46
students’diverse needs and preferences [29]. To this end, future research will apply the abbreviatedDynamics Concept Inventory (aDCI) [30] to examine an instructor’s effect on student academicperformance in the specific context of Prime University.AcknowledgementThis study is based upon work supported by the National Science Foundation (NSF) under GrantNo. 1525671. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the NSF. This workwas conducted with oversight provided by the Purdue University (West Lafayette) InstitutionalReview Board.References[1] M. Stains, J. Harshman, M. K. Barker, S. V. Chasteen, R. Cole, S. DeChenne-Peters, et al., “Anatomy
Engineering Design, vol. 20, no. 5, pp. 437–448, Oct. 2009.[7] E. B.-N. Sanders and P. J. Stappers, “Co-creation and the new landscapes of design,” CoDesign, vol. 4, no. 1, pp. 5–18, Mar. 2008, doi: 10.1080/15710880701875068.[8] A. Khurana and S. R. Rosenthal, “Towards Holistic ‘Front Ends’ In New Product Development,” Journal of Product Innovation Management, vol. 15, no. 1, pp. 57–74, Jan. 1998, doi: 10.1111/1540-5885.1510057.[9] N. Cross, Engineering Design Methods: Strategies for Product Design, 4th ed. West Sussex, England: Wiley, 2008.[10] S. R. Daly, C. M. Seifert, S. Yilmaz, and R. Gonzalez, “Comparing Ideation Techniques for Beginning Designers,” Journal of Mechanical Design, vol. 138, no. 10, pp. 101108- 101108–12, Aug
, as their normal patterns of activities, such as sleep, exercise,and studying, have been disrupted. The present study seeks to gather direct evidence of howstudents are allocating their time (e.g. what activities and for what duration), in an effort to bothinform human-centered course design and to optimize student learning and well-being under theconditions of remote/multi-modal learning and beyond.Literature Review Until relatively recently, there has been little scholarly interest in how students spendtheir time outside of class. This began changing in the late 1990’s and early 2000’s when ahandful of large-scale studies indicated that student spend far less time on learning activities,such as reading or studying, than had been
1.708Sibling(s) encouraged me toward STEM career .023 .633STEM is involved in father’s career .034 .750Female students who reported being interested in an engineering career at the beginning of highschool had higher odds of choosing engineering as a career at the end of high school (OR =9.500; Table 4). It was noticeable that interest in engineering in middle school no longerincreased female students’ odds of choosing engineering as a career at the end of high school. Itcould be inferred that female students’ engineering career interest in middle school only affectedtheir interest at the beginning, not the end of high school, as students might have the option totake more
point, it is essential tointegrate this content into both curricular and co-curricular efforts. It is not enough to spend asingle hour engaged in this work. It is important to find ways to encourage students to explorethese topics in more depth and to allow them to continue to engage in meaningful discussions asthey develop their personal and professional identities.References[1] B. O. Barefoot, C. L. Warnock, M. P. Dickinson, S. E. Richardson and M. R. Roberts, "Exploring the Evidence: Reporting Outcomes of First-Year Seminars. The First-Year Experience. Volume II. Monograph Series, Number 25.," National Resource Center for the First-Year Experience and Students in Transition, 1998.[2] C. Boudreau and J. Kromrey, "A longitudinal
qualitative approach for examining language mediated frames that highlight someaspects of social reality while obscuring other aspects [52]. These frames or discourses may bespoken or communicated through “texts”, including the multimodal texts like videogames [11],[53]. To identify any discourses in Iconoclasts, the author analyzed the recorded dialogue fromthe game and associated notes on the story or storytelling from the research journal. Particularattention was given to engineering and technology topics and what was being included or excludedabout the topic, what assumptions the discourse(s) carried and which characters were invoking thediscourse(s). Previous engineering education research was reviewed to help connect the discoursesin
myunderstanding of patterns within the queer experiences in STEM.ValidityUsing Walther et al.’s [31] framework for achieving validity in engineering educationqualitative research, I present multiple means with which validation was achieved throughoutthis project. By being a member of the GRSM community myself, this study possessessome aspect of communicative validity [32]. This presents me with the ability to filter myparticipants’ stories through my own experiences and knowledge about the community,positioning me as an individual with enough experience and community-specific knowledge toconduct research with this community. I also was forced to navigate challenges within the STEMinstitution as a direct result of my identities as queer and disabled, thus
theoretical data.In addition to enduring outcomes (Table 2) and the important-to-know topics (Table 3), the labactivities also promote “good-to-be-familiar with” topics as follows: Students are expected tolearn and demonstrate the following topics throughout all six labs: Teamwork, report writing,and communication. If we, for instance, take modeling as an example, being able to modelconstitutes an important and direct predictor of conceptual understanding of often-complicatedengineering topics, such as heat transfer [42]. To sum up on these “good-to-be-familiar with”topics, they are covered in all labs (Labs #1–#6) and will become a part of necessary skills as apracticing engineer in the future no matter what field of engineering s/he choose to
R. Yu, “Involvement in out-of-class activities: A mixed research synthesis examining outcomes with a focus on engineering students,” Journal of STEM Education: Innovations and Research, vol. 18, no. 2, 2017.[3] A. L. Miller, L. M. Rocconi, and A. D. Dumford, “Focus on the finish line: Does high-impact practice participation influence career plans and early job attainment?,” Higher Education, vol. 75, no. 3, pp. 489–506, 2018, doi: 10.1007/s10734-017-0151-z.[4] G. Lichtenstein, A. C. McCormick, S. D. Sheppard, and J. Puma, “Comparing the Undergraduate Experience of Engineers to All Other Majors: Significant Differences are Programmatic,” Journal of Engineering Education, vol. 99, no. 4, pp. 305–317, 2010, doi: 10.1002/j
: Interactions that promote innovation," in Innovations 2009: World Innovations in Engineering Education and Research, W. Aung, K.-S. Kim, J. Mecsi, J. Moscinski, and I. Rouse, Eds., ed Arlington, VA: International Network for Engineering Education and Research, 2009, pp. 375-391.[4] V. Svihla, "Collaboration as a dimension of design innovation," CoDesign: International Journal of CoCreation in Design and the Arts, vol. 6, pp. 245-262, 2010.[5] D. H. Jonassen, "Toward a Design Theory of Problem Solving," Educational Technology Research and Development, vol. 48, pp. 63-85, 2000.[6] K. Dorst, "The Design Problem and its Structure," in Analysing Design Activity, N. Cross, H. H. C. M. Christiaans, and K. Dorst, Eds
3/18/18, 4:45 PMWork-in-Progress: Development of a Virtual Reality Educational Game for Waste Management: Attack of the Recyclops1. Introduction Negative impacts of human consumption and waste on the natural environment is a long-researched topic, which led the international scientific confidence in the human-influencedclimate change to reach its highest point (95-100% likelihood) in 2014 [1]–[6]. A significantreason for this impact is the fact that much of the waste ends in landfills, rather than recyclingfacilities. U.S. Environmental Protection Agency (EPA)’s most recent report shows that morethan 50% of the 259-million-ton municipal solid waste (MSW) goes to landfills [7]. This waste,in turn, rots and produces the
that had been tried and thesuccess (or lack thereof) that followed. For example, if change agents are considering alternativepedagogies as an approach to achieve their course goals, they may to investigate the literaturethat supports the efficacy of student-centered pedagogies3,4,13-39.Bar r ier s to ChangeResistance to change is inevitable40,41. Recognizing its inevitability, Mauer34 encourages changeagents to anticipate and address resistance in their plans, rather than be surprised at itsoccurrence and have to improvise. Change agents who are prepared to address commonlyoccurring barriers are likely to be more effective than unprepared change agents.Research by Sunal et al.42 showed that faculty in their survey, which asked respondents
Campbell and Campbell (2000)’s study, they concluded the perceived need of facultyand students (referred as protégé in their article) from mentoring relationships[3]. The facultymentor has perceived needs including the altruistic desire to help students (beyond the helpafforded through assigned teaching and advising), need for evidence of activities demonstratingservice to the university (for tenure and promotion decisions), and opportunity for enjoyment ofthe friendship and relationship with students provided by mentoring. On the other hand, thestudent protégé approaches the relationship with expected needs, including help with schedulingand enrollment decisions, help interpreting degree requirements, career guidance, assistance incoping with
characteristics (basic information about each study), evaluation(method by which the intervention was assessed), outcomes (the main result(s) of the study).Below we describe how articles were screened and selected for inclusion in the database andhow articles were coded. We then present summary data on the 307 articles that were in thedatabase on December 15, 2005, organized, in part, by the major categories mentioned above..We conclude with some observations about the state and quality of engineering educationresearch articles in the database.Article Screening and SelectionArticles were screened and selected for inclusion in the database in two phases. In the first phase(Phase One), articles were culled from chapters 14, 15, 16, and 17 of a draft of
. In D. R. Olson & E. Bialystok (Eds.), Spatial Cognition: The Structure and Development of Mental Representations of Spatial Relations. (pp. 233-259). London: Lawrence Erlbaum Associates.9. Linn, M. C., & Petersen, A. C. (1986). A meta-analysis of gender differences in spatial ability: Implications for mathematics and science achievement. In J. S, Hyde & M. C. Linns (Eds.), The psychology of gender: Advances through meta-analysis (pp. 67-101). Baltimore, MD: Johns Hopkins University Press.10. Verderhus, L., & Krekling, S. (1996). Sex Differences in Visual Spatial Ability in 9-Year- Old Children. Intelligence, 23, 33-43.11.12. Gardner, H. (1993). Multiple intelligences: The theory in practice. New York: Basic
interested in STEM majors atTAMU and community college representatives interested in building relationships for theirstudents to transfer into STEM majors at TAMU. The STEM Conference program includedresource roundtables for students and one-on-one sessions with faculty and staff forrepresentatives.Other activities such as the NSF Scholarship in Science, Technology, Engineering, andMathematics (S-STEM) were used as both recruitment and retention strategies. The S-STEMsprovided community college transfer students research opportunities, academic and professionaldevelopment seminars, scholarship money to assist in funding students’ education without themhaving work commitments, and establishment of cohorts and the resulting social community tohelp
, measures, number of participants, teamsize(s), methods of data collection (survey, interview, etc.), methods of analysis (descriptivestatistics, regression, structural equation modeling, etc.), and conclusions with respect to trust.Conclusions related to the relationship of trust and team success were sorted into “trustdescendant conclusions” and “trust antecedent conclusions.” Descendants of trust are defined asvariables or aspects of teamwork and success directly affected by trust. Antecedents of trust arethose variables or aspects of teamwork and success that directly affect trust within a team.Study SelectionAs shown in Figure 1, the initial search generated 140 studies. The 140 studies initially includedwere reviewed first by their title and
understanding this community. c American Society for Engineering Education, 2017 Quantifying and Assessing Trends on National Science Foundation’s Broader Impact Criterion The American Innovation and Competitiveness Act (S.3084) reapproved the NationalScience Foundation’s (NSF) merit review criteria i.e. Intellectual Merit and Broader Impacts,called for an update of the policy guidelines for NSF staff members and merit review processparticipants, and emphasized the importance of transparency and accountability. EvaluatingProject Summaries based on Intellectual Merit and Broader Impacts has been the standard ofmaintaining excellence and accountability since 1997. Intellectual
Characterize Reform-Oriented Instruction: The Scoop Notebook and Rating Guide. CSE Technical Report 707. National Center for Research on Evaluation, Standards, and Student Testing (CRESST).10. Chambers, J.M., Carbonaro, M., Rex, M., and Grove, S. (2007). Scaffolding knowledge construction through robotic technology: A middle school case study. Electronic Journal for the Integration of Technology in Education, 6, 55-70.11. Eguchi, A. (2010). What is educational robotics? Theories behind it and practical implementation. Proceedings of Society for Information Technology & Teacher Education International Conference, Chesapeake: AACE, pp. 4006–4014.12. Papert, S. (1993). The Children’s Machine: Rethinking Schools in
the National Science Foundation.References Atman, C. J., Kilgore, D., & McKenna, A. (2008). Characterizing design learning: A mixed-‐ methods study of engineering designers' use of language. Journal of Engineering Education, 97(3), 309-326. Bielaczyc, K., & Ow, J. (2014). Multi-player epistemic games: Guiding the enactment of classroom knowledge- building communities. International Journal of Computer-Supported Collaborative Learning, 9(1), 33-62. Bloome, D., Carter, S. P., Christian, B. M., Otto, S., & Shuart-Faris, N. (2004). Discourse analysis and the study of classroom language and literacy events: A microethnographic perspective. Routledge. Cohen, E. G., & Lotan, R. A. (2014). Designing groupwork