results from the combination of grasping and transforming experience” (Kolb 1984, p. 41). Kolb’s experiential learning theory describes how students absorb and use information and is commonly shown in a four stage cycle ‐ concrete experience, observation of and reflection on that experience, formation of abstract concepts based upon the reflection, and testing the new concepts.1 A number of studies have shown the benefits of experiential learning and various models of integrating the concepts in the college curriculum. 2 A common way of providing experiential learning to college students are internship and co‐op experiences. In Liberal Education and America’s Promise [LEAP] report, developed by the American Association of Colleges and
)The Felder-Soloman Index of Learning Styles is one of the most popular learning style instruments [21],especially in engineering education. It is based on Felder and Silverman’s (1998) model and assesses preferenceson four bipolar dimensions: Active-Reflective, Sensing-Intuitive, Visual-Verbal, and Sequential-Global. Activelearners prefer doing things, particularly in groups. Reflective learners work better alone and spend some timethinking about the task before doing it. Sensing learners like facts, data, and experimentation and work well withdetails. Intuitive learners prefer ideas and theories, particularly when they get to grasp and generate new ideas.Verbal learners like to hear information and engage in discussion, particularly when
research interests include: engineering for social justice, engineering with community, innovation, ethics, transformative learning, reflection, professional identity.Mr. Ramon Benitez, Virginia Tech Ramon Benitez is interested in how engineering identity and animal participatory design can be used to recruit Chicano K-12 students to engineering professions. Benitez completed his BS in Metallurgical and Materials Engineering at the University of Texas at El Paso (UTEP), and is now a Ph.D. student in Engineering Education at Virginia Tech (VT). Benitez seeks to understand how to best instruct and assess ethical reasoning of engineering practices and engineering responsibilities, including wildlife and humanity, in
still emerging, although there have been some paperspublished using this approach15, 16. Tomkins and Eatough17 discuss strategies for use of IPA infocus group settings, highlighting the need for a sensitive approach that acknowledges thedifferences of group-based interactions. Themes from both individual and group interviews arereported in this paper.Positioning and methodological rigor – A key aspect of all qualitative research is the analyst’srole as researcher and research tool, as their understanding and interpretation are central to theproject’s success. To clarify those roles and enact boundaries, IPA calls for a reflective dialoguebetween analyst and participant13. Throughout the process of analysis, the researcher ‘brackets’their
required students to question and analyze assumptions inherent in the technicalmaterial (Lynch & Wolcott, 2001). Other questions required a reflective response thatchallenged students to express and support an opinion in a brief essay-style format (Ralston &Bays, 2010; Romkey & Cheng, 2009; Schafersman, 1991).The SGMA questions on the midterm(s) and final exams were designed to not only promptcritical thinking, but also to review material previously covered and address the full range ofBloom’s Taxonomy (Brown, Roediger, & McDaniel, 2014). They were designed to allowstudents still working on mastery of more fundamental levels of the hierarchy to be able torespond while also presenting a critical thinking challenge for more adept
, critical reflection, social justice, innovation.Ms. Laura Mae Rosenbauer, Smith College Laura Rosenbauer is an engineering major and landscape studies minor at Smith College. She is a research assistant on the national and international capstone survey efforts and the development of CDHub 2.0. She is also assisting with a new research collaboration to study the transition from capstone design to work. She was a summer intern at the Urban Water Innovation Network, where she studied the thermodynamic and hydrologic properties of pavements. She is interested in a career in civil engineering.Mr. Sidharth Arunkumar, New Mexico Tech Sidharth Arunkumar is pursuing his Masters in Mechanical Engineering at New Mexico Tech. His key
already on the market. In order to have a successful crowdfunding campaign, our product needs to differentiate itself to get people to fund our project versus buying a product already on the market. FIGURE 3. EXAMPLE OF AN ANSWERED CONSTRAINT-SOURCE MODEL QUESTION.The design attributes are grouped into sections, as indicated in Table 1. Within its section, eachattribute is listed with an eliciting, reflective question. Students are asked to respond bothquantitatively and qualitatively. On the quantitative side, the CSM provides the
master’s, so we expect a lot. You can do many things on your own. We’re not going to teach you everything, you know a lot of it.’”Trisha’s advisor had discussions with her and made recommendations about her ideas, but leftthe decisions up to her. Edward experienced an advisor who did not provide structured orsupported autonomy, “will not teach him everything.” Edward came away from his first meetingknowing that his advisor had high expectations, but would not provide support to meet thoseexpectations irrespective of Edward’s level of competence. Nonetheless, Edward did expresssome level of autonomy in his work and the precedence that Edward’s advisor set at thebeginning of his program is reflected in the structure of Edward’s
graduate students who will work as GTAs, aworkshop specifically about creating a reflective teaching statement, and additional workshops thatmay be more tailored to each participant’s discipline.Additionally, participation in a six-week-long pedagogy seminar is also required and provides a greatopportunity for students to learn more about teaching methods across disciplines. The pedagogyseminar is designed so that students from diverse disciplines may learn about general teachingstrategies and new strategies that are emerging, compare and contrast teaching strategies that areused in their own disciplines, as well as design a full syllabus for a class they would want to teach inthe future. The seminar fosters open discussion about effective
, skills, and ability to solve complexproblems and to produce excellent solution(s) within the structure of the team. This concept wasfurther developed to include defining team and task, team climate, communication, and reflection(for a detailed description, please see Table 1)23-26.Design competence focused on finding and evaluating variants and recognizing and solvingcomplex design problems. These were further defined as having the ability to discover and designmultiple solutions to a given problem and to effectively evaluate those solutions to determine thebest solution, and having the ability to see the overall picture of a complex design problem, thenbreaking it into smaller, more manageable parts to solve while keeping the overall problem
reflect distinct characters that result from different political, intellectual, andprofessional influences on engineering education. In particular, engineering ethicseducation in China has demonstrated a stronger emphasis on theoretical knowledge,whereas ethics teaching in the US focuses more on ethical decision-making inengineering practice. We suggest that the differing emphases result partly from Chinesescholars’ attempt to establish engineering ethics as an academic discipline, and,compared with its counterpart in the US, a weaker professional identity for engineers inChina. We conclude this paper by summarizing lessons engineering ethics educators in bothcountries might learn from each other. We also suggest a few questions for
on talent. The Cronbach’s alpha was also applied to the full data set.The negative questions were adjusted by subtracting each response from 7, thus ensuring equivalent scale. Theresulting fit between matched pairs of positive and negative formulation is interpreted as a measure of confidence intwo aspects of the student responses: (1) the extent to which students are reading and interpreting individualquestions; and therefore (2) the reliability of the entire data set as a reflection of student opinion.Results of Analysis of Survey Responses Multiple analyses were pursued relative to these data. These included basic assessment of the reliability ofthe data, as well as consideration of the data as separated by such groupings as
involvement for some time asan essential aspect of meaningful learning” [6]. On the heels of the critique of traditionalapproaches to teaching and learning came the movement towards student engagement and activelearning in engineering classrooms. Studies focused on approaches such as cooperative learning,problem and project based learning, learning communities and service learning sought to supportthe idea of increasing student engagement [5], [10]. In addition, engineering educatorsrecommended specific changes be made to the engineering curriculum to reflect the importanceof actively engaging students [11]. However, despite various studies on this issue “the engineeringcurriculum has been slow to respond” [12, p. 286]. Some scholars [13] attributed
strategies for completing the assignment. The third and fourth segments (Peer Review and Self- Review) accelerate learning throughapplication of a rubric and reflection on self-performance. In these segments, studentsdemonstrate an understanding of task requirements by critiquing the work of others. Then,students consolidate their learning gains by reviewing their own submission and reflecting onways to improve. The fifth and last segment collects performance data /peer commentary anddisplays results both to instructors and students. This last segment reinforces learning by givinga composite
ability tomonitor progress towards self-generated goals, and the ability to reflect on performance andmake adjustments and manage time effectively, to comprise the overarching construct of self-regulation in learning [4].Students who are better at self-regulation often outperform those who have not developed theseskills [5]. Although the literature on this topic heavily focuses on students’ use of strategies orperformance, there is a growing body of research focused on students’ backgrounds andunderlying beliefs regarding learning. These individual difference variables may globallyinfluence a student’s disposition, use of strategy, and thus, performance [4, 6]. Although thereare several potential lines of inquiry available, the present study was
theory and reflective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, liberatory maker spaces, and a RED grant to increase pathways in ECE for the professional formation of engineers.S Masters, Virginia Polytechnic Institute and State University S. Masters is a doctoral student and Graduate Research Assistant at Virginia Polytechnic Institute and State University. Masters received a B.S. in Mechanical Engineering from University of Delaware and is currently pursuing a Ph.D. in Engineering Education at Virginia Tech. Masters’ research interests include equity and social justice in engineering with particular attention to the experiences of women & LGBTQ
heat; e. simple electromagnets and magnetism; and f. historical contributions in understanding electricity.SOL 5.2 states: The student will investigate and understand how sound is created andtransmitted, and how it is used. Key concepts include: a. compression waves; b. vibration, compression, wavelength, frequency, amplitude; c. the ability of different media (solids, liquids, and gases) to transmit sound; and d. uses and applications of sound waves.5.3 states: The student will investigate and understand basic characteristics of visible light andhow it behaves. Key concepts include: a. transverse waves; b. the visible spectrum; c. opaque, transparent, and translucent; d. reflection of light from reflective
global, interdisciplinary, and entrepreneurship subject areas. Students are expected todocument and reflect on their work in their portfolios as they complete the experiences. Uponcompletion of GCSP, students must submit their completed portfolio before they graduate.Although several universities have active programs with GCSP graduates, there is no publishedwork focused on understanding the impact that the GCSP experience has on student developmentas engineers. Dancz et al. published a first attempt at developing a rubric to assess the outcomesfor the five GCSP components, but it was not applied to GCSP; its use was limited to theassessment of student outcomes in a specific sustainability course[3]. Our work aims tounderstand how participation
signal of Vsource3Fig.2a Circuit to simulate Noise Signal.Circuits to simulate the noise signal, which could be tested and also added to desired signals todemonstrate effects of it on the circuit operation and on the signal distortions were modeled.Time-domain signal, signal distortions are studied. Fig.2b The pulses generated by adding different noise signal to the pulsesFig.3 The circuits used to demonstrate the pulse reflections in transmission lines. Upper circuit isused to simulate and ideal case when the source and load resistances are matched to thecharacteristic impedance of the transmission line. The lower circuit has both resistancesunmatched to the characteristic impedance of the transmission line. The harmonic signalcomponents
first day of class (text in black) and follow-up process during the entire semester (text in green). Adapted from [11].The PD process (Figure 2) is called a cycle because it consists of a few elements that arerepeated11. The description of each element is taken from Ho et al (2001, p.147)12: Self-reflections: Instructors “undergo self-reflection and clarify personal conceptions.” In this study, all three reflections occurred prior to the first day of class. Exposures: Workshop facilitators “provide a direction and a model for improvement.” Exposure 1 and Exposure 2 occurred prior to the first day of class, whereas Exposure 3 occurred during the semester. Confrontations: Instructors “are brought to realize
: Assessments and Background Materials Communication Global Work Groups Motivation Leadership Resilience Work / Life BalanceContent in the modules is presented through videos and readings available in a LearningManagement System (LMS). Interaction in the course is facilitated through email and weeklydiscussion board posts. Students are required to write reflective papers approximately everyother week. Three short online tests are also part of the assessment used in the course. There isno final examination, rather there is a final reflective writing assignment.While all content, assignments, and instructions are available through the LMS, the instructorsends a weekly email message to all students informing them of the
model, sketch, or 3D representation23,26,27 Conduct experiments Running tests to consider hypotheses, gain new information and learn “how prototypes behave”23 Revise and iterate Revisiting the design, using new information or feedback23 Reflect on the process Thinking about challenges, failures, and successes; considering what contributed to or hindered
students’ engineering designs.Other research has focused on teachers’ ability to notice and respond to student thinking inengineering. Mangiante & Moore (2016) investigated what pre-service teachers (i.e.undergraduate students studying education) new to engineering attended, analyzed, andresponded to when working with fourth grade students during engineering activities. The authorsanalyzed written reflections from the pre-service teachers and assessed their attention to threedisciplinary practices—defining the engineering problem, designing solutions, and optimizingsolutions (NGSS Lead States, 2013)—as having a low, medium, or high focus on studentthinking. The authors found that the pre-service teachers had more sophisticated reflectionsabout
comparing the final exam and course scores of the Fall 2015students (those who were just told that electronics were not allowed in the classroom) tothe final exam and course scores (respectively) of students from the Fall of 2016 (thosewho were told electronics were not allowed since studies show use of electronics in theclassroom negatively impacts grades). These two grades were chosen intentionally. Thefinal exam score was chosen since it reflects how well students understand the materialfrom the entire course (but does not include the grades from the lab portion of the course).The course score was chosen for contrast since this score reflects both the course portion(where the study took place) and the lab portion of the course.Data AnalysisThe
participatingstudents graduated with a STEM degree. Interviews collected in this project are previouslypublished on the IEEE Engineering Technology and History Wiki (ETHW). Following the oralhistory interviews, the students write reflections to answer the following three research questions(RQ). RQ#1 is “What are the key factors that led to the success of the distinguished leaders?.”RQ#2 is “What are the crucial skills that enabled their success?.” RQ#3 is “What is the impacton my career path?”One objective of this paper is for the participating female students, who are majoring in STEMfields, to present their reflections on the three research questions. A second objective is for thestudents to describe the impact, if any, that carrying out interviews of
their hometown. 4. The Great Animal Escape: Portable Livestock Corral Design Project. In this lesson, students will work in teams to design and build scale models of portable livestock corrals. The scale models will be tested using robotic hamsters that represent livestock, and try to escape from the model. Following the activity, students will reflect on how their individual participation in the group reflects teachings on the Diné way of life. Finally, students will scale their model up on paper and create a bill of materials for a full-size portable livestock corral.Next StepsFollowing the curriculum pilot, the curriculum will be improved and additional curriculummodules added to continue building out
IntroCS courses. Each instructor will create a portfolio ofmaterials, and complete reflective teaching logs. Each mentor will observe and provide feedbackon each member’s classroom. All team members will join the existing CS-POGIL community ofpractice, and be invited to a one-day mid-year meeting. Finally, we will provide coaching andresources for instructors who wish to develop their own POGIL activities.Objectives III and IV: Assess factors that affect faculty adoption and persistence with POGIL;assess the impact of using POGIL on student outcomes. These research objectives will involve avariety of data sources. Direct video observation of POGIL classrooms will enable us to observeand discover things that faculty and students might not notice
an issue not only with competency,but also with a lack of self-efficacy in math, science, and engineering which creates anxiety. According to Beck-Winchatz and Riccobono (2007), the majority of students with VI arefollowing general education curricula. However, less than 30 individuals with VI earned ascience and engineering research doctorate on average each year from 2001 to 2009 compared to25,600 people without a disability on average per year during the same time period (NSF, 2012).Lack of higher level degrees in the science and engineering fields do not reflect the fact thatstudents with VI have the same spectrum of cognitive abilities as sighted peers (Kumar,Ramasamy, & Stefanich, 2001) and with appropriate accommodations can
-on activities. For example, a lecture about the circulareconomy and the life-cycle of electronics included an opportunity for each teacher to dismantlingelectronics products, analyze the components, and think about the barriers to recyling forelectronics products.Research Experiences and Curriculum Development The research experiences at both universities comprised a primary focus of the program.On a weekly basis, teachers reflected on and shared what they had learned and documented ideasfor teaching engineering in facilitated conversations. The PU and TU cohorts shared experiencesand research results through weekly sessions enabled by WebEx. Guided reflections explicitly connected the RET experiences with educational
variations on the exact definition ofinquiry based instruction exist. The NRC4 identifies five critical features of inquiry that extendacross all K-12 levels:1. Learners are engaged by scientifically oriented questions.2. Learners give priority to evidence, which allows them to develop and evaluate explanations that address scientifically oriented questions.3. Learners formulate explanations from evidence to address scientifically oriented questions.4. Learners evaluate their explanations in light of alternative explanations, particularly those reflecting scientific understanding.5. Learners communicate and justify their proposed explanations.Minner et al5 performed a meta-analysis of 138 studies to examine the impact of inquiry basedinstruction