(Davishahl et al., 2019).In addition to ConcepTests and CIs, more extensive Instructional Tools are available to helpstudents develop conceptual understanding. These include reflection activities (Koretsky, et al.,2016a) as well as activities pedagogically tailored to conceptual understanding such asInteractive Virtual Laboratories (Bowen et al., 2014) and Inquiry Based Activities (Prince et al.,2015; Self et al., 2016). Figure 2 shows an example of a simulation developed during this projectthat forms the basis of part an Inquiry Based Activity in dynamics.Figure 1. Screenshot of the Student Interface of a ConcepTest for Engineering Dynamics. Theinstructor has the option to request written explanations and confidence when assigning
learning more about?” Percentages reflect an aggregate of responses in threecategories: not at all/ somewhat disinterested, neutral, and somewhat/ very interested. Senior StudentsFigure 2. Senior student responses (n=46) to the question “What sources of energy are youinterested in learning more about?” Percentages reflect an aggregate of responses in threecategories: not at all/ somewhat disinterested, neutral, and somewhat/ very interested.Figure 3. A box-and-whisker plot illustrating composite scores indicating student interest infossil fuels and renewable energy. A score of 5 corresponds to very interested, while a score of2.5 aligns with neutral. (The box encompasses the median of the first
populations. Thispaper describes the experiences of a sample of high school educators that comprise the inauguralcohort of nine E4USA educators. The educators’ reflective responses to professionaldevelopment (PD), which they received as preparation for this course prior to the start of the2019-20 academic year are particularly illuminated. Literature Review A review of extant scholarship reveals several themes regarding the teaching ofengineering in K-12 settings. One theme is a tendency among some K-12 scholars andpractitioners to not distinguish engineering education as a distinct field within the STEMdisciplines. Nadelson, Callahan, Pyke, Hay, Dance, and Pfiester [5] suggest that the
-efficacy [15]. Pintrich and hiscolleagues developed the Motivated Strategies for Learning Questionnaire (MSLQ) to measurecollege students’ SRL skills [5], and he proposed a conceptual framework for SRL in the collegeclassroom [9]. The framework consists of four phases that are explained in four areas forregulation; the four phases are ‘forethought, planning, and activation,’ ‘monitoring,’ ‘control,’and ‘reaction and reflection’; the four areas for regulation are ‘cognition,’ ‘motivation/affect,’‘behavior,’ and ‘context.’ Table I shows Pintrich’s SRL model [9]. TABLE I PHASES AND AREAS FOR SELF-REGULATED LEARNING Areas for regulation Phases
areas in ESM are very diverse, spanning from materials science to photonics, totheoretical mechanics, to neuroscience. This diversity is reflected in the student population thatapplies for admission into the ESM program. Many ESM students have a physics background,others have a more traditional engineering background, and, more recently, we have studentswith bioengineering or biology training. The first year for incoming graduate students is typicallydevoted to taking foundational subjects in their research area (the ESM qualifying exam has fivebroad areas of concentration: mechanics, materials, electromagnetics, nano- and bio-science, andneural engineering). Students preparing for the qualifying exam typically concentrate theiracademic plan to
, iteration and learning. Success is measured by how wellwe fulfill our users’ needs – the user outcomes – not by features and functions. Functionally-,ethically- and otherwise diverse teams generate more ideas than homogeneous ones, increasingbreakthrough opportunities. While, considering that every stage of design is a prototype from astoried drawing to in-market solutions; iteration empowers the application of new thinking toseemingly stale issues. The keys to scaling design thinking to complex problems and complexteams involve aligning on a common understanding of the most important and most impactful useroutcomes to achieve (called Hills); and bringing the team and stakeholders into a loop of restlessreinvention where they reflect on work in a
. Larry Himes, Jr. is currently seeking a full time university faculty position. c American Society for Engineering Education, 2020A Low Cost Kiosk for Student Learning of Human Machine Interface (HMI) Dr. Larry Himes, Jr. (KG9KV)AbstractThe use of touch sensing devices is common in this day and age. Capacitive touch sensing is themost widely used, but there are resistive and reflective means as well. Low cost, simple circuitry,easy to implement and simple to program were the four factors considered for classroom use. Ameans of implementing the touch sensing in an application was another factor. The result was akiosk to be assembled and programmed by Electrical Engineering Technology
direct such procedures, including howand when to use them, in light of the ambiguity of ill-structured design problems [18]. Therefore,much of design problem framing is implicit.Previous research has contrasted novices and more experienced designers to understand howexperience impacts capacity to design and quality of design work; both reflect a combination ofexplicit and implicit design knowledge. More experienced designers produce better designs, andthis may be due to their early efforts to frame the problem [19]. For instance, seniors, comparedto first-year students, gather more information, work in a more iterative fashion, consider abroader problem space, and generate more solution ideas [19-21]. This suggests differences inimplicit design
activities thatrealistically reflect practices in the field? Successful plans are easily differentiated from deficientplans when input from subject matter experts is considered. Therefore, determining the scope ofthe project, creating a work breakdown structure, and identifying the critical path particularlywith input from subject matter experts is crucial to facilitating learning-by-doing for real orpseudo projects in the planning stages. In this paper we present an innovative project-based learning approach for teachingproject management. By incorporating the design thinking strategy in the curriculum, studentteams identify and define problems (or needs) by empathizing with the users, proposing designalternatives, and creating quick-and
accomplished by creating interesting research assignments that are short, yet appropriate to the topic under discussion.Reflection : Feedback helps towards thoughtful evaluation of the changes implemented. Only reflection can provide a tool for continuous improvement. Feedback must be scrutinized and summarized and used as part of continuous quality improvement. Most instructors do conduct an evaluation of the course at the end of the semester. Additional questions should be included to find out how the students react and reflect to the course delivery methodology.Nurture : Implemented changes
and Technology through Educational Research (CLUSTER), is a dynamic in- terdisciplinary team that brings together professors, graduate, and undergraduate students from engineer- ing, art, educational psychology, and social work in the context of fundamental educational research. Dr. Walther’s research program spans interpretive research methodologies in engineering education, the pro- fessional formation of engineers, the role of empathy and reflection in engineering learning, and student development in interdisciplinary and interprofessional spaces. c American Society for Engineering Education, 2020 Building communities of engineering faculty, staff, and students engaged in educational
receive a $1,000 research stipend.MethodsData collectionAn online survey was administered to all TTE REU mentors during the final week of thementoring experience. The questions were open-ended prompts, designed to allow mentors toshare their experiences from their own perspective rather than responding to pre-developedstatements in scaled items. The mentors were asked to reflect on how serving as a mentorencouraged their professional development in a variety of areas including how it impacted theircommunication skills, project management skills, and supervisory skills. An item also asked howthe experience serving as a mentor impacted their career goals. Mentors were given one week torespond to the survey and were encouraged to be candid in their
to identify student and instructor actions throughout the class meeting. The goal of thisassignment is to reflect on time spent listening versus lecturing, group tasks versus individualtasks, and the overall engagement of the students (Salazar & Martinez Berryhill, 2019). Inaddition to this analysis of classroom instruction, faculty develop an equity index of studentsuccess based on course grades. This assignment requires faculty to review course grade databased on the demographic background of students enrolled in their courses (Salazar & MartinezBerryhill, 2019). Once complete, faculty are asked to reflect on their data to identify possiblegaps in teaching and learning. These assignments along with the strategies for improving
], [7], [8] espouse andpromulgate the benefits of mentorship for both the mentee and the mentor, Shabb [4] alsodescribes the lack of formal training for selectors working at UC Irvine. As the panel session [4]occurred at an ALA Annual Conference in 1996, it may not reflect current practices. Casserlyand Hegg [9] conducted a survey of librarians and determined that one third of librarians whoresponded worked at libraries that did not provide selection training while around half of therespondents did have formal selection training at their institutions. This formal training includedprofessional workshops, orientation and policy reviews, and manuals and mentoring. It is worthnoting that it was not until a few years ago that UTL started developing
self-reflection about themselvesleads them to fall behind males in STEM fields like computing and engineering in high school[14][16]. According to a study by Riegel-Crumb (2011), children are “ […] aware of how theirskills do or do not match up to external expectations of their academic proficiency in math andscience” [15]. However, external factors can play an important role on students career aspirations[15]. Various reasons have been identified as having impact on female student major and careerchoices both positively and negatively. Students get positive inspiration from role models [17],interaction with teachers [18], and early exposure to STEM [19]. On the other hand, they getnegative influences from gender stereotypes [20], early gender
ininstructional technology and cognitive sciences [1]. This calls for engaging engineeringeducators in an educational reform that facilitates reflection of one’s own current teachingpractices, entwines current knowledge of best educational practices in engineering with mutuallycollaborative solutions, and focuses on building a culture of innovation and continuallearning [3].In the U.S., many universities have set up professional faculty development programs to prepareengineering educators to address the challenges in providing quality education. While theseprogram do a great job of training faculty, only a subset of faculty participation in theseprograms, possibly due to of lack of incentive, time, motivation, and / or awareness about theprogram
the pilot study because they completed (i) both the preand post technology and tinkering surveys, and (ii) the in-class lecture handout.Data collected Technical Problem Solving & Tinkering Survey [17] assigned in the first week of classes (pre) was given again after the design showcase during finals week (post). See below for further information regarding instrument. Lecture handout administered in the last week of classes had a series of reflective items relevant to participation in the team-based design project.The handout developed by instructor included three items used in this study. One item askedstudents to indicate their perceived challenge level of the project (i.e., easy, somewhatchallenging, very
. degrees in Electrical Engineering from the U of A and has served on the industrial engineering faculty since 1991.Dr. WENJUO LO, University of Arkansas Dr. Wen-Juo Lo is an Associate Professor in the Educational Statistics and Research Methodology (ESRM) program at the University of Arkansas. His research interests involve methodological issues related to analyses with a focus on psychometric methods. The recent research agenda concentrates statis- tical methods for the detection of bias in psychological measurement, especially measurement invariance on latent factor models. In addition, he also conducts research to develop effective latent variable model and instrument that reflects the factors of college students
assessing student effectiveness during each phase of student development[8], [10]. While these models reflect best practices in team development and consider ways tocreate diverse teams that support underrepresented students, they have not adjusted theirpractices to measure the ways students are or are not making engineering environments moreinclusive. This focus is especially vital as ABET has made explicit changes to its criteria thatmake creating an inclusive teaming environment an essential skill for engineers [12]. In responseto these calls for change, research has begun to understand how engineering teaming experiencescan be more inclusive [13]-[22].Adding to this literature, our research examines how students interact in diverse teams to
technologies improve theengagement and learning of engineering students?” As an educational technology, a cloud-basedstudent response system (SRS), Poll Everywhere, was the focus of the current study.Multiple definitions of learning have been proposed in literature. Bingham and Conner3 defined“learning as the transformative process of taking in information that – when internalized andmixed with what we have experience – changes what we know and builds on what we do. It’sbased on input, process, and reflection.” Brown et al.4 defined learning as “acquiring knowledgeand skills and having them readily available from memory so you can make sense of futureproblems and opportunities.” Adopting these definitions and for the purpose and scope of thisstudy
reflect on ethical issues. Codes of ethics define normativebehavior for a professional practitioner, but a code cannot solve all problems and may even haveconflicting concepts for a given situation. “Ethics education often requires a different kind ofeducation from understanding and applying an established body of knowledge” [20, p. 58]. Byalso exposing students to different kinds of ethical schools of thought (descriptive ethics) andhaving them practice interpreting ethical issues using these theories, they have the opportunity toquestion and explore beyond their own assumptions. In addition, the practice supports thedevelopment of skills and habits that train students to utilize resources and processes for ethicaldecision-making.In support of
theprogram’s inception in fall 2017 to fall 2019. The survey included four sections: courseinformation, peer-mentor description, final project reflection, and open-ended commenting ontheir peer-mentor experience. In the first section, participants indicated their professor and theyear they participated. This identified under what technique they participated in. Students werefirst provided an opportunity to indicate their mentor through an open-ended response and thenthrough a pre-populated drop-down menu of past mentors if they could not remember. This stepwas included to examine if any trends were indicated by remembering the name withoutassistance vs with assistance, erring on that potential being more valuable than simplifying thesurvey.Then
thelimitations of simplifying assumptions can affect the prediction (i.e. course calculations vs. realworld measurements).9 - Sonic Flow MeasurementThis exercise uses an engineered piping system to create a contained shock wave. Two pipes areseparated by a flange containing a plastic diaphragm. The first pipe is slowly pressurized untilthe diaphragm is burst and a shock wave is transmitted down the second pipe, then reflected backthrough the system. The second pipe is instrumented with two pressure sensors along the line oftravel, which allows for determination of the pressure rise as well as velocity of the shock wavecorresponding to the initial pass as well as the following reflections. This exercise focuses oncomparing the experimental results to the
, and uncovering students’ ideas.One of the greatest strengths of Garden TOOLS has been the ability to meet the diverse needs andinterests of formal and informal educators working within a variety of situational constraints (i.e. limitedtime, staff availability, access to outdoor spaces, etc.). The pilot PD trainings conducted with manydifferent audiences have provided a wealth of qualitative data in the form of both participants feedbackand facilitator reflection that has been used to identify successes and challenges to the Garden TOOLSprogram and can be used to guide future iterations of PD trainings.Overall, Garden TOOLS PD trainings have received an enthusiastic response from participants with
age of 18 were only 51.5% non-HispanicWhite. These trends show a tremendously changing racial and ethnic make-up of our youngergenerations. From prior years data, we know in 2020, for all children under the age of 18, thenon-Hispanic White population is now the minority population, giving way to the collectivemajority population represented by all children not considered non-Hispanic White.From this perspective, it is clearly the millennial generation that is ushering in the nation’s futurediversity; with Gen Z that follows as the generation to solidify and further define the racial andethnic trend line.The data on changes in 18-34 year-olds from 2000 to 2015, a 15 year window, reflect there was anet loss of nearly one-quarter million white
STEM faculty; and 4) professional advice and career paths. The initial mentoringprogram design was developed through two Lean Six Sigma projects, where they collected voiceof the customer (mentors and mentees) data, and designed the program. The program waspiloted in Fall 2019, spearheaded by the Women Engineering Program in the School ofEngineering, the director and a student graduate assistant. The success of the pilot program wasassessed in three ways: 1) number of mentor/mentee pairs starting the program, compared to theinitial number interested; 2) retention of women in engineering and science during the programperiods; and 3) through mentor and mentee reflections. In the initial voice of customer datacollection, we identified 14 possible
prioritized. 6. Reflection on what was learned and how it can be used in the future.As Palmer & Tucker [9] determined, introducing information literacy skills in a disciplinarycontext is more effective in skills retention. Furthermore, many first-year students have a higherlevel of confidence in their research abilities than is warranted by the evidence [4], [5], [10].As Kirker & Stonebraker [11] found, student perception of doing research is affected by theirpre-existing knowledge which may not be adequate for college-level research. Thus, informationliteracy instruction is being incorporated into first year engineering courses, and is well-documented to varying levels of success [9, 12-15]. Many institutions, including our own
study is reflective of the overall proportion of female students (21%) inthe college of engineering where the study was undertaken. Moreover, we were focused onprioritizing a broad representation of countries in the selection of participants.Data CollectionData were collected using an interview protocol after it was piloted and approved by the IRB.The interview protocol was developed using Vygotsky [8] sociocultural theoretical framework asa reference and enabled us to conduct semi-structured interviews with 10 first-year internationalstudents during the first semester (Fall) of the academic year 2018-2019. The semi-structuredinterviews asked specific questions guided by prompts upon which the richness of the interviewwas heavily dependent [20
rationale. This paper discusses the experience both the students and faculty had in the design, build,and test of the powertrain. The powertrain is an extensive system since it provides the power andtransmission to develop motion of the vehicle. The presentation covers the background of FSAEat UGA, the powertrain as part of the capstone experience, and the outcome. This paper views involvement in capstone activities thorough Kolb’s Experiential LearningTheory (ELT) [2], namely: concrete learning, reflective observation, abstract conceptualizationand active experimentation. Student class work learning is enhanced greatly by transfer ofabstract information to a concrete problem-solving activity.Background According the University of Georgia
disappointing results may simply reflect the length oftime it takes to realize learning outcomes in this area.This work is supported by the National Science Foundation under Grant No. EEC-1540301. Any opinions, findings,and conclusions or recommendations expressed in this material are those of the authors and do not necessarilyreflect the views of the National Science Foundation.The scope of this current work is to develop a better understanding of engineering students’perceptions and opinions on topics within the areas of social justice, social responsibility, andethics within engineering and the impact, if any, of a first-year course in fostering changes inperceptions and opinions among students. The outcomes of this work are limited by thechallenge