. IntroductionOregon State University's (OSU) School of Electrical Engineering and Computer Science(EECS) has been engaged in an ongoing study examining the Electrical and ComputerEngineering (ECE) undergraduate degree program. The key research questions were: 1. What educational experiences contribute to ECE seniors’ success in the senior design capstone year? 2. What instructional practices best facilitate these transformative educational experiences?In a previously-published literature review paper [1], key transformative educationalprogrammatic influencers were identified. Emancipatory Action Research (EAR), a pragmaticqualitative epistemology, and a critical mixed-methods approach were also identified as bestfitting methodological frameworks to
Community-Connected ElementaryGeotechnical Engineering Unit (Resource Exchange)Grade level: 3-6 (meets 4th grade engineering and earth and space science standards)Time: 8, 1-hour lessons. Final Design Challenge can also be a stand-alone design taskStandards: All NGSS 3-5-ETS standards are met, see full documentation for science standardsIn the ConnecTions in the Making project, researchers and district partners work to develop andstudy community-connected, integrated science and engineering curriculum units that supportdiverse elementary students’ science and engineering ideas, practices, and attitudes. In the units,students use human-centered design strategies to prototype and share functional solutions to adesign challenge rooted in the students
accreditation. Revisions in accreditationcriteria, however small, require reformatting the entire process. The shift from the iconic“(a) thru (k)” student outcomes to the newly minted “(1) thru (5) plus one [1]” may havebeen an improvement, but the effort involved in the transition at the program level has beenhuge. Furthermore, a major disconnect continues to exist between the vocabulary used inindustry (affecting part-time faculty) and that used by accreditation professionals. Severalauthors have investigated these issues and reported their findings but very few results areapplicable to EAC and CAC programs equally [9-19].As a result, the proverbial wheel of assessment and continuous improvement to address theaccreditation needs has been routinely
supportgrowth in the use of campus makerspaces both in numbers of students and the diversity ofbackground and major. Makerspaces have increasingly become part of the landscape of collegesand universities over the past decade, especially in engineering colleges where experientiallearning and design experiences are viewed as essential building blocks in educating newengineers [1]-[3]. Although it is exciting to have these new spaces filled with prototyping tools,professional support, and sets of student super-users, it is imperative that college makerspaces beaccessible, available, and intriguing to the breadth of students enrolled if we want theseparticular resources to positively impact more than a fraction of the student body. Institutionsmay find it
. The students were also asked to do research on thedifferent methods of 3D printing that the Department of Energy labs are involved in.The students are taught the basic function of the Autodesk Inventor program and carried outseveral activities to expound the students' understanding of Autodesk Inventor. Among theprojects, the students researched and designed tool holders for standard household tools. Theyalso designed and virtually assembled a weathervane prototype. Several projects have beenperformed, including 1) designing and 3D printing tools holder; 2) designing safe childrenplayground equipment.To have a better understanding of Additive Manufacturing, students watched various videos onseveral 3D printing technologies. Also, students
; Exposition,Seattle, WA.Roberts, L. (1997). One oppression or many. Philosophy in the Contemporary World, 4, 1/2, 41-47.Royce, Josiah. (1885). The moral insight, in The religious aspect of philosophy: A critique of thebases of conduct and of faith (pp. 131-170). Boston: Houghton, Mifflin and Company.Scarry, E. (1985). The Body in pain: The making and unmaking of the world. Oxford: OxfordUniversity Press.Shuman, L.J., Besterfield-Sacre, M., & McGourty, J. (2005). The ABET “professional skills”-Can they be taught? Can they be assessed? Journal of Engineering Education, 94, 1, 41-55.Zhu, Q., & Jesiek, B.K. (2017). A pragmatic approach to ethical decision-making in engineeringpractice: Characteristics, evaluation, criteria, and implications for
math [1].This paper focuses on math anxiety as it occurs in the classroom. The authors would be remiss ifthey did not acknowledge that anxiety associated with math is not only found in the classroombut even outside of academia [2]. The scope of this paper, however, will analyze commonfactors which may contribute to the emergence of math anxiety for students in academia andspecifically whether females and minority students are impacted differently from males and thegeneral holistic student population.Literature ReviewMath anxiety occurs when one lacks confidence or is hesitant when using math, as alsoevidenced from the research study of college student’s anxiety involving simple math problems.One of the biggest issues when one has math anxiety
. c American Society for Engineering Education, 2020 Math Anxiety: Engineering Technology Students Problem Solving Through Rational or Experiential ContextAbstractMath anxiety is a pernicious problem. The issue manifests in a variety of ways, some avoid mathcompletely, while others enact coping skills to avoid the use of math. This study surveys studentswho are pursuing Engineering Technology degrees and delves into the tendencies of the studentsand how they utilize certain types of problem-solving techniques. The survey utilized theinstrument Cognitive-Experiential Self Theory (CEST) [1]. The survey will help to learn theextent to which the students rely on the rational and experiential context of their lives
teaching an undergraduate course in deep learning in a mathematicsdepartment. Also presented are data that suggest that weak programming skills may not be assignificant an obstacle for STEM majors as the author originally feared.IntroductionDeep learning—sometime referred to colloquially as AI—is at the center of a wave of innovationthat is changing the way consumers interact with products. It is being used to solve challengingtechnical problems such as autonomous driving in unstructured environments or enabling robotsto grasp arbitrary objects. Deep learning is a special type of machine learning that automates thegeneration of useful data features. An introduction to deep learning for mathematicians isprovided by Higham et at 1 .Deep learning is
cognitive load of the laboratory experience and thereby reduced learning.1 IntroductionKolb’s experiential learning theory [1] suggests that students learn from experience by cyclingbetween states of concrete experience, reflective observation, active experimentation and abstractconceptualization. This theory has been applied successfully to the design of engineeringlaboratory courses [2], and inquiry-based interventions that specifically attempt to invoke thetransition from concrete experience to reflective observation have shown some success [3]. Thiswork tried to build on Kolb-based examples by examining another method of inspiringreflection: interactive questions in web-based laboratory manuals.Interactive questions in this context refer
exposed to formal and informalexpectations.IntroductionThe role and latitude of the engineering profession continues to change rapidly. Global issues,technological innovation, expansion of discipline boundaries, and increased professionalexpectations highlight the importance of Engineers acting ethically as they make choices duringtheir professional practice of engineering [1]. Engineering graduates are expected to havetechnical knowledge, skills, and abilities to think creatively and critically, effectivelycommunicate, and work in teams to solve challenging problems that are built on a foundation inprofessional and ethical practices, therefore the development of ethical judgment skills is a keycompetency for engineering students [2
shortage of scientists and engineers [14] and thePresident’s Council of Advisors on Science and Technology [10] projected that the United States willneed to produce 1 million more STEM professionals to maintain our STEM preeminence in a globalenvironment. Students in STEM majors have traditionally come from non-Hispanic White or Asianpopulations and are also typically male [12]. However, U.S. demographics are shifting, and with thiscomes an increased need for attracting and retaining students with non-traditional backgrounds. In theU.S., among the students enrolled in undergraduate STEM programs in 2016, approximately 35.5% werewomen, 6.5% were African American/African American, 10.1% were Hispanic, and less than 0.4% wereNative American/Native
resources, such as the mentee/mentor ratio, total yearsof the undergraduate program and the local culture are some of the factors that govern the effectivenessof mentoring.Key words: role model, peer mentoring, academic counseling, sponsor, international students.IntroductionThe dictionary definition of the word ‘mentor’ is “an experienced and prudent advisor”, stemming fromthe Greek name Mentor, the advisor of the king Telemachus [1]. Mentoring differs from academiccounselling in many ways. Both the mentor and the mentee need to know each other at a personal level,and thus a stronger bond develops between the two, maintaining a lasting relationship often throughouttheir lifetime. In the ancient epics of India, Krishna became the powerful mentor of
Award for Excellence in Science, Mathematics, and Engineering Mentoring. c American Society for Engineering Education, 2020 MESA Center Promoting Technical LiteracyAbstractIn 2007, the first MESA Center in Texas opened at our college. After twelve years, there is astory to be told and to be proud of it.MESA, which stands for Mathematics, Engineering, and Science Achievement, is a nationalprogram that originated in California in 1970 [1], [2]. Its purpose is to support educationallydisadvantaged students throughout the education pipeline to excel in math and science so theycan go on to attain degrees in the fields of engineering, science, and mathematics. Due to itsSTEM foundation, the MESA Center
in four of theCollege of Engineering’s six departments. The program has deep roots within the regionalindustrial and commercial engineering community. Before becoming its presentinterdisciplinary form, formal engineering design programs in individual departments date backto the 1960s and informally long before that.[1] Its interdisciplinary projects span a wide rangeof engineering disciplines, including mechanical, electrical, biological, agricultural, chemical,and materials, as well as computer science.Its success with Facilities projects has a history dating back to 1998 to an interdisciplinary waterand electricity project at a remote mountain site called Taylor Wilderness Research Station.[2,3]Several more student-designed solutions to
explores the experiences of student veterans in engineering (SVE) at four institutionsacross the US. Data collection included interviews with key informants in year one of this grant,focus groups with SVEs in year two, and in-depth SVE interviews in year three at each campus.Efforts since then have focused on analysis and dissemination. Here, we provide a summary andhighlight some recent results from our work. This study has potential for broad impact bydiversifying pathways to and through engineering programs.Project Goals, Data Collection, and AnalysisIn this research, we address the following research questions: 1. Why do veterans pursue a Bachelor’s degree in engineering? 2. How do military experiences shape student veterans
purpose of this paper is to explain the process by which we improved a Minecraft-based educational intervention through incorporation of principles of video game design toimprove learner engagement. In this paper, we outline the research supporting use of digitalgame-based learning to improve kids' spatial reasoning, the elements of video game design, andthe steps we took between years 1 and 2 to improve our Minecraft-based educationalintervention. Results from both years are compared to show areas where our interventionimproved, and future directions and challenges are outlined based on lessons learned from theprocess. The outcomes of our project are intended to inform other efforts to employ digital game-based learning to maximize the utility
adepartmental diversity plan to build these insights into departmental practices and procedures.This paper will explore the process of developing the departmental initiatives and diversity plansas well as report on some initiatives and plans developed. The benefits and drawbacks of theapproach are discussed along with best practices identified to this point.IntroductionOf doctorate degrees granted in STEM disciplines in the U.S. for the past ten years, African-American and Hispanic/Latinx students make up only 2.7% and 3.3%, respectively [1]. After aSTEM student has been in a program for two years or more, the URM doctoral student attritionrate is nearly 50%, with completion rates varying by discipline and ethnicity [2]. In engineering,for example, the
engineering education, students should have aclear understanding that the nature of their job is directly affecting the environment and theirpractices are governed by the code of ethics, which calls on sustainable development. How weteach or train students to develop their engineering skills, becomes an essential tool to nurturesustainability in their future practice, which was recognized as a pressing issue for educators [1]-[3]. Promoting sustainability as part of everyday practice could establish the missing link toenhance environmental attitudes of engineering students [4], [5].Many empirical studies reported that environmental education, either as a semester course or as asummer program, not only improves knowledge and awareness of environmental
, public, research-intensive institution with a strongteaching mission. This project was informed by other efforts across campus, and the outcomesfrom this phase of the project will likewise inform further work in this area. Promoting effectiveteaching that invites all students to enter into a safe space to take intellectual risks can havelasting impacts, as an engineering degree is a gateway into stable employment and meaningfulwork that advances the human condition for us all.IntroductionGraduate student instructors (GSIs) have a substantial impact on the intellectual, professional, andpersonal development of their students. However, many GSIs lack adequate preparation toeffectively teach due to limited training and feedback. 1 First-time GSIs
descriptor of a range of pedagogical approaches and methods. Defined by the founder of theScience Education Specialists program, Professor Carl Wieman, as an “interactive learningstyle” [1], for the purposes of this paper we follow in defining ‘active learning’ as: Active learning: A set of teaching tools, methods, and interactive experiences that promote the active engagement of students with topics during a learning encounter.Active learning has been adopted for use within engineering education for its ability to facilitatestudent learning, shown by both comparative reviews of work in the field such as by Prince [2]and quantitative-methods based studies such as by Freeman et al [3]. It should be noted activelearning can encompass
professionalenvironment impact the evolution and progression of an individual’s professional identity(Cruess et al., 2015).Researchers have examined how students view themselves as participants in various STEMprograms and how various constructs interact to contribute to students’ PID (Capobianco, 2006;Ofori-Boadu, 2018b). The professional identities of students enrolled in specific STEMprograms is constantly evolving as a result of students’ multiple self-identities that interact withacademic and professional environments (Capobianco, 2006). Gee (2001) highlights the fourperspectives of identity to include: (1) nature identity; (2) institution identity; (3) discourseidentity; and (4) affinity-identity. Gee’s model guides investigations on how students
, which include over 900students who have completed the course. Students are categorized into four groups by number ofyears of prior programming experience, from less than 1 year to more than 3 years. A one-wayANOVA test is used to determine whether there is any statistically significant difference betweengroups in terms of performance on the following components of the course: programmingassignments, computer-based quizzes, and paper exams. A Bonferroni post-hoc test is thenapplied to determine between which groups such difference exists. Literature has shown thatwomen are less likely than men to enroll in high school programming classes [1] and studentsfrom lower socioeconomical status schools have limited resource to learn programming [2
” for doctoral education [1], which posits that PhD holders (in industry, academia, orelsewhere) act as stewards of their particular disciplines, with their stewardship activitiesdescribed as: Conservation, Generation, and Transformation. Conservation of disciplinaryknowledge is passed to students through coursework and other foundation-laying academicinquiry. Generation takesplace when stewards producenew knowledge thatcontributes to the field.Transformation is thetranslating of expertise to avariety of audiences. We usethe key actions derived frominterviews with PhD holders[2] as guidelines for theTraineeship activities (see Fig.1). In this context, the“discipline” is defined as corecompetencies in data analysis,synthesis, and decision-making
students, what makesthis project unique is its focus on enabling student success at the junior and senior years. Thisproject provides a portfolio of different activities for the more mature student, e.g. financial aidthrough scholarships, community-based learning opportunities, and academic success strategiesthat enable stronger retention and student completion rates. Project activities are tailored toveterans and adult learners as this group of students is particularly vulnerable given their need tosimultaneously juggle academic, family, and financial obligations. IntroductionA pilot program funded by the National Science Foundation, grant #1742118 [1], S-STEMproject named “A Pathway to Completion for
, and comparative studies. Preliminary results confirmed the effectivenessof the online digital design platform. We have also identified a few pitfalls, such as instructors’initial reluctance in adopting the platform and students’ first perception of the platform as a puresimulation tool. Based on the studies, recommendations are made to identify the best practices inthe utilization of the platform to better serve Electrical and Computer Engineering majors andsecondary school students interested in the general STEM fields.1. IntroductionA typical course in Digital Logic has both lecture and lab components. These two are designed tocomplement each other in such a way that lectures focus on fundamental concepts, theories andprinciples, while labs
negatively affected by the introduction of the SMARTmethod, with both groups earning slightly higher grades than their male, non-underrepresentedpeers. However, female students who also were a member of an underrepresented racial orethnic minority did earn statistically lower grades than their peers. Though from a very smallgroup of students (n = 14), this result demonstrates a need for additional research andinterventions.BackgroundThe SMART pedagogical method was developed at Michigan State University in 2016 [1]. Theacronym SMART stands for Supported Mastery Assessment using Repeated Testing. The goalof the SMART method is to address concerning trends in student understanding and performancein STEM courses, especially those that focus on problem
solutions. As discussed in Felder et al., there is not a singularstyle of engineer -- some people in the field enjoy practical, detail-oriented tasks while others prefer morecreative theoretical projects [1]. The engineering methods used vary between individuals due to the diversityof humanity. No two people are the same, because everyone comes from a different background, withdifferent ways of interacting with the world. Engineers cannot be defined as a singular, uniform character,rather they create a spectrum of diversity throughout the field. This diversity enables the field to balance thecreativity and analytical skills which are necessary for successful engineering.In a similar manner, students come from diverse backgrounds. Each student has
positively (directionally), but problematically(experiencing anxiety), impacts performance for women in science, mathematics, and STEMoverall. We discuss these findings in relation to the STEM “gender filter” further.IntroductionTest anxiety can be described as "students’ worry and concern over taking exams” [1, pp. 119],and is “assumed to be an indication of the strength of the motive to avoid failure” [2, pp. 975]When given an exam, some students experience a great deal of test anxiety. However, examsremain a primary way by which students are assessed and graded in engineering. A recent studyof five institutions indicated that women, marginalized racial/ethnic students, and first-generationcollege students perform worse in lecture-based STEM
82Mississippi counties are "designated natural disaster areas". How can Mississippians better prepare andrespond to current and forth-coming disasters and further mitigate the loss of life and property? How canunderserved populations gain access to needed disaster preparedness information, preparedness training,and resources? Table 1: Examples of Mississippi Underserved Populations (571,000 MS below poverty) (from U.S. News and World Report, 2018 and 2019 citations from John Mutter, author of "The Disaster Profiteers: How Natural Disasters Make the Rich Richer and the Poor Even Poorer.”) Disaster Type Impact Natural Disasters (various) May not have cellphones, broadband or regular use of