constructed treatment wetlands to be a helpful research and coursemodule platform. In both instances, students gained field-specific technical knowledge, as well asexposure to larger, more open-ended problems in the environmental engineering field whichprovided creative and sustainable-thinking opportunities for all students, research experiences forsome students, and career shifts for a couple of students.In terms of research students, it seems clear that the research opportunities had a large impact onstudents personally and professionally. To improve their experiences, I would like to try to ensurethat all students get to work with a partner. To grow as a mentor, I plan to create an “expectations”memorandum of understanding to help students know
project teams).The inventive process of the proposed model has a foundation in the fundamental processobserved in successful inventors. This process has seven steps: 11 1. Observation of a need or difficulty. 2. Analysis of the need. 3. A survey of all available information. 4. A formulation of all objective solutions. 5. A critical analysis of these solutions. 6. The birth of a new idea. 7. Experimentation to test and refine the most promising solution.As previously mentioned, the first step in the inventive process is ‘observation of a need ordifficulty’ followed by ‘analysis of the need’. These steps could also be referred to as ‘marketneeds assessment’ or ‘opportunity focuses’ in standard business plan terms. 12
directors to try to determine expected and potential student needs. As will be addressed,our experience is that these students’ needs push the boundaries of traditional academic librarysupport. However, the more planning done prior to the launch of the program, the better for allparties involved.Our purpose is to provide insight on how the librarians and professional staff in one universitylibrary collaborated with one another and program faculty to identify the needs of students in theUniversity’s DSA graduate program, and then collectively developed and implemented supportservices and tools to address those needs.BackgroundAbout the UniversityGeorge Mason University is a comprehensive, doctoral institution which is classified a Research1
Engineering Department. Understanding and classifying the knowledge gapsin the progression of BAE courses can lead to applying the proper integrating techniques in orderto balance and equilibrate the prospective teaching modules.Therefore, in this work we examined specific knowledge concepts considered essential withinthe curriculum at a large southwestern University’s Bio-based engineering program. Theresearch aimed to understand the level of students’ exposure to essential knowledge and suggestrecommendations for an improved comprehensive degree plan. The study used a survey in orderto evaluate knowledge areas required for discipline specific core courses by a program basedassessment of faculty who have taught through at least one academic year
rarely ever one “right” answer. Author SWS has implemented this project 3 times over the course of 3 years and is stillmaking minor improvements to the assignment. Author DAC implemented a scaled-downversion of this project for the first time in Fall 2018 with approximately 70 students and plans tocontinue iterating on a scaled-down version of the assignment. For the interested reader, detailsof assigning this project (including lesson plans, handouts, and instructors notes) can be found atwww.engineeringunleashed.com with the creation of a free account.Level 4: Make-Your-Own Context While simply creating one homework problem may seem simple, asking students to maketheir own context problems is the most challenging task for them
accompanymany of the courses in engineering programs, as well as the long prerequisite chains that tend toexist in these curricula.To gain a better understanding of the aforementioned factors, consider the electrical engineeringdegree plan shown in Figure 1, offered by a university in the southwest of the United States that hasa high curricular complexity score. The analysis provided in this figure was created by utilizingthe Curricular Analytics Toolbox, an open source framework created for the purpose of analyzinguniversity curricula.6 The complexity associated with a given course c is a function of the numberof courses that are “blocked” by c (i.e., the number of courses that cannot be attempted until cis successfully completed), and the longest
a demographic andleadership questionnaire. Additional sections include logistics reminders for researchers, aprobing question plan, and engineering and leadership identity checklists. To ensure the focusgroup runs smoothly, at least two recording devices are utilized to capture focus groupdiscussion, participants are sent multiple reminder emails and texts, and the interviewers’ tone iskept friendly and conversational. In Focus Group 0 all three researchers interviewed REUstudents. In Focus Group 1 and Focus Group 2 two researchers interviewed participants whilethe REU students and one researcher observed from a viewing room.IntroductionThe introduction is based on standard practice for an IRB exempt study. Participants arewelcomed as they
).InstrumentsValue, Expectancy, and Cost of Testing Educational Reforms Survey (VECTERS)To assess faculty dispositions towards, and use of, specific active learning strategies, the Value,Expectancy, and Cost of Testing Educational Reforms Survey (VECTERS) was utilized [23].VECTERS measures dispositions towards, as well as current and planned use of, three activelearning strategies: (1) Using formative feedback to adjust instruction (2) Integrating real-world applications (3) Facilitating student-to-student discussions in classVECTERS prompts respondents to consider each strategy and consider the degree to which they(a) expect the strategy to be successful, (b) find it valuable, and (c) believe it is costly (e.g., time,resources). The survey
resulted in higher retention8. Over dependence on an SRS,student anxiety and technical sophistication were among the weaknesses if a SRS was not usedappropriately11. Nevertheless, much of the previous research was based on the use of thetraditional SRSs (i.e., clickers) while cloud-based response systems (hereafter referred to as pollapp) have been prevalent due to a majority of students owning an Internet-connected devicenowadays12.The goal of this paper is to assess the use of a poll app called Poll Everywhere in an engineeringproject management course namely “Project Planning and Regulations”, which is required forcivil and environmental engineering majors. Previous studies differentiated three categories ofusing response systems: (i
developed in the job, many of them can be promoted during school. Some of these competencies are: teamwork, client/stakeholder focus, creative thinking, planning and organizing, problem solving, decision making, seeking opportunities, working with tools and technology, scheduling and coordinating, business acumen. 4. Tier 4 – Industry-wide technical competencies: these competencies include things that highly relate to the professional practice. Similarly, to tier 3, these competencies will be developed in the workplace, however, engineering schools play a role in preparing the students for them. Some examples are professional ethics, design, operations, engineering economics, legal, sustainability and
accessible acrossour state and will serve as a first step toward broader dissemination of IoT-related topics inengineering curricula. This paper will present the planning, organization, and structure of theworkshop, including a report of its lessons learned, initial findings and results, with the purposeof enabling other institutions to learn from our experience.IntroductionThe ongoing 4th industrial revolution, driven by the Internet of Things, is having profoundimpacts on Wisconsin industries of all kinds, especially manufacturers. Further, the increasingability to collect and analyze large amounts of data has impacts beyond manufacturing. Giventhe critical role that the University of Wisconsin-Platteville, UW-Milwaukee, UW-Stout, andUW-Madison
] describes the process of creating effective instructional videos as four steps: planning,development, delivery, and reflection. They stress the importance of reflection through gettingfeedback from students for effective evaluation, where success can be measured by anonymousstudent surveys that ask questions about the course and videos. This ties in with their view on theimportance for constant improvement and continually working to provide better resources forstudent learning. This emphasizes the importance of recognizing that the process of creatingvideos does not end once they are made available for use, but continues into the vital stage ofreceiving feedback and measuring their success by different metrics. Depending on the primarygoal one has
engineering) 2. Developing and using models 3. Planning and carrying out investigations 4. Analyzing and interpreting data 5. Using mathematics and computational thinking 6. Constructing explanations (for science) and designing solutions (for engineering) 7. Engaging in argument from evidence 8. Obtaining, evaluating, and communicating informationThere are many similarities between the practices of scientists and engineers – e.g., both includeusing computational tools to test scientific theories and predict outcomes of engineering designs.While new technologies and pedagogies now afford us many opportunities to cultivate students’S&E habits of mind,4,5,18 developing novel approaches to integrate
Indian scenario) by paying for their services. Therefore, by doing just one ‘major project’ work, the students do not get enough experience in the institute to handle the real projects when they reach the industry. b) In such a scenario, often the main objectives of the project work of developing skills such as, planning, leading teams, communication, working in teams, decision making, and such others do not get developed by just one ‘major project’ offering in the last program. This is much to the disadvantage of the student, as most of the times the ‘major project’ is a group activity. Therefore, the requisite project handling skill- sets hardly gets developed as it is offered only once in
students and one faculty member for a 10-week period to do research at theJohnson Space Center in Houston [18] – [21]. The other part was the development of anundergraduate research plan that would help SAC students relate their NASA-sponsored researchwith STEM course content and classroom activities. Ten students were accepted to doundergraduate research at SAC with two faculty members.The 10 students formed three teams and each team submitted a research proposal. One teamselected a subject that might be helpful to future lunar farming: hydroponics. They designed andbuilt racks, containers, and an irrigation system in a campus greenhouse. The students plantedseveral types of vegetables and monitored their evolution with respect to different
data was collected across three instruments. Thedemographic questionnaire collected data about participants’ demographic information andacademic background. The Doctoral Student and Development and Outcomes Survey, createdusing the research of Nettles and Millet (2006) and Lovitts (2001), was used to assess thesatisfaction and scholarly engagement of the students’ academic experience20,21. The CareerDecision Self-Efficacy Scale (CDSEC), which was originally derived from the Competence Testportion of the Career Maturity Inventory, included five sub-scales measuring self-appraisal(knowing yourself), occupational information (knowing about careers), goal selection (selectinga job), planning (looking ahead to the future) and problem solving (what
, significantly and positively predicted likelihood of being retained in an engineeringmajor. Studying with other students and participating in an internship program also positivelypredicted retention in engineering. Women and students who in their first year felt more likely tochange major were less likely to be retained, while students with a parent employed as anengineer and who at college entry were planning engineering as a career were more likely to beretained. The results not only indicate engineering identity can be important for retention inengineering, but several characteristics and experiences that relate to engineering identity arealso associated with retention in engineering.IntroductionNational reports have indicated colleges and
nursing students, working as part of a team and establishing relationships wasmentioned most frequently as the key benefit. The nursing students also acknowledged theadvantages of their clinical experience to the design process and valued being part of thesolution. We will also assess student gains and benefits from the interprofessional educationusing the Interprofessional Collaborative Competency Attainment Scale (ICCAS). In addition,we plan to analyze team performance data, such as project-related scores, including comparisonsto BioE design teams without Nursing student members. Literature suggests there is both a needand current opportunity to implement interprofessional education across diverse professionaldisciplines.Introduction and
widely used in engineering education. PBL relies on the paradigm ofconceive, design, implement, and test, while the students are encouraged to consider the whole system, inorder to obtain hands-on and practical experiences, giving the students the ability to transfer the acquiredknowledge into practice. It has the great potential to help students cope with engineering complexities,and those problems that they are facing into their future careers. For such reasons, PBL is considered asuitable method to obtain the desired results and to improve the student learning and interests. Theunderlying course methodology, task planning, course and laboratory topics, or planned assessment arepresented and discussed. The encountered issues and challenges to
the perspectives of different stakeholders for an engineering design, product orprocess and to explore the privilege associated with different stakeholders. The assignment wasfirst implemented for civil engineering students in a civil engineering materials course studyingsustainability and the Envision sustainability rating system [3]. The assignment considered alarge regional highway reconfiguration that has been in planning and design phases for nearly 20years and recently broke ground. The project has severe impacts on a community of low socio-economic status whose residents are predominantly people of color. Students read a variety ofregional news sources and discussed the project in small groups and as a larger class. Initialresponses
Paper ID #25682An Integrative Education in Engineering and the Liberal Arts: An Institu-tional Case StudyDr. Kristen L. Sanford Bernhardt P.E., Lafayette College Dr. Kristen Sanford Bernhardt is chair of the Engineering Studies program and associate professor of Civil and Environmental Engineering at Lafayette College. Her expertise is in sustainable civil infras- tructure management and transportation systems. She teaches a variety of courses including engineering economics, sustainability of built systems, transportation systems, transportation planning, civil infras- tructure management, and Lafayette’s introductory
students identified engineer as a primary choice, which students identified engineeras a secondary choice, and which students identified other career options. By primary choice, wemean that a student indicated that becoming an engineer was their first-choice career or one oftheir top choices. By secondary choice, we mean that a student indicated that becoming anengineer was a backup plan if their first plan didn’t come to fruition. Table 2, below, showsexamples of our classification of student statements. For this table, we selected examples torepresent a range of students’ responses.Table 2. Sample quotes illustrating student career choices Engineer as Primary Choice Engineer as Secondary Choice Other Career Choice I
” asthe first priority and key livelihood project during the “13th Five-Year Plan” period, and iscommitted to building a well-off society in an all-round way and achieving commonprosperity. For a long time, economic growth and external charitable aid have been regarded as“panaceas” for poverty alleviation. Although there have been literature studies arguing thatthere is a clear positive correlation between economic growth and poverty alleviation, theempirical results show that there is a high heterogeneity between economic growth andpoverty reduction. Countries such as Georgia, Bangladesh, Peru, and Turkey have maintainedsustained economic growth throughout the year. However, there were little success in povertyalleviation. Simply relying on
Creation in Figure 1.On July 13, facilitators presented their lessons to other members of their team and the educationand engineering faculty mentors and solicited their feedback. The facilitators then modified theirlesson plans based on the ensuing discussions. This is referred to as Feedback Round 1 in Figure1. This phase of the PD resulted in the creation of four NGSS-plus-5E lessons, whose details areprovided in Table A.1 in Appendix A.Phase II – Teacher PD: Participants for Phase II, labeled as the teacher PD, were selected from agroup of NYC teachers who had previously attended a LEGO robotics related PD at NYU Tandon.Potential participants (≈45) were contacted by email and informed of the opportunity four monthsbefore the start date of the
fellow AOTS, Japan 2000. She is a senior member of IISE. Angelica has previous experience (six years) in the food manufacturing industry (expe- rience related to inventory management and production planning and control, also information systems such as ERP). During her studies in the United States she worked a research assistant at the Center for Innovation on Healthcare Logistics CIHL, her work for CIHL focused on assessing the impact of GS1 standards adoption in the healthcare supply chain. Her research interests are related to the adaptation of existing manufacturing and logistics models and structures to the healthcare supply chain with a specific focus on medical supplies. She is also interested on engineering
sampling, data collection and analysis. Following, that areresults from the thematic analysis, followed by a concluding discussion in Section 5.2 Literature ReviewThe Theory of Planned Behavior (TPB) is the theoretical framework for this paper. TPB was ini-tially introduced by Ajzen [15] in 1991 and has been supported with empirical evidence since then.The theory says planned behaviors, such as starting a new venture, are intentional and thereforebest predicted by intentions towards the behavior, not by demographics, personality, beliefs, or atti-tudes [15]. TPB is also an important cognitive process model for the evaluation of EntrepreneurialIntention as the model describes the complexity of the relationship between human behavior andrelevant
the onus onto you and your team. It is a good taste of what projects will be like in the future of college and I liked the responsibility to set my own deadlines and get things done on time.” At the end of each semester, we give the students a chance to provide feedback toimprove the final escape room project for the following year. Over the course of the project, 54%(N = 82) of students volunteered constructive feedback. The two major requests from studentswere to 1) increase the number of responsibilities in the projects and 2) to enable the committeesto better plan or organize their pieces of the project. In response to these requests, in second yearof implementing this theme, we added a ‘waiting room
. One leadership and advising office manages the MDE and IDES programs; however, theprograms are administered as two separate entities. Students who pursue an interdisciplinaryengineering studies education (IDES) do not plan to practice engineering, while themultidisciplinary engineering program (MDE) is ABET accredited and provides students with aneducation that supports an engineering career by combining multiple disciplines to solve theirproblems of interests.ParticipantsWe used purposeful sampling to recruit participants for this pilot study. To be broadly eligible forparticipation, students had to be currently enrolled in either the interdisciplinary engineeringstudies (IDES) (n=1) or multidisciplinary engineering (MDE) (n=6) program. To
a reason, but others viewed theirengineering degrees as a “back-up” in case other plans failed [7].Because of the disconnect between students studying engineering and choosing career pathsoutside of engineering, major selection is not necessarily a perfect predictor of career choice andthe terms should not be used synonymously. Major selection is the decision of what to study at acollege or university; for example, chemical engineering. Career choice is the field in which arecent graduate decides to work upon graduation; for example, paper processing and production.In this example, the student’s major selection and career choice are in a common field:engineering. However, if the student had decided to pursue medical school or work in
, understanding technical reinvent, how it is done in knowledge, inhibited by industry, sketching skills. 2 Planning, development, Values structure, Demands accountability, user, face-to-face, formal, interactive team solution motivated, informal, active, member, versatile stronger link between participate, listening, ideas, leader, lead by education and industry development. example