understanding and tools to design and construct crops with desired traits thatcan thrive in a changing environment. Students with “T-shaped” experiences will differ fromtraditional STEM graduate programs that produce students with deep disciplinary knowledge inat least one area. This depth represents the vertical bar of the "T". The horizontal bar representstheir ability to effectively collaborate across a variety of different disciplines [T-Summit, 2016],which is the focus of P3 as shown in Figure 1.This paper reports on the progress of the project to date and presents results on the first year’sproject assessment on the effectiveness of the cross disciplinary training. The P3 programis preparing students for productive careers in plant phenomics
course:in the Fall of 2013 and Fall 2014 for a lecture-based classroom course that faculty applied atraditional textbook, for 58 students and in the Fall of 2015 and Fall of 2016 for a mix of lecture-based and problem-based classroom course that faculty used a textbook with more applicable casestudies for 54 students.The ABET outcomes are considered in this research (see Table 1). Table 2 provides the criteria,learning outcomes, and assessment tools based on which students have been assessed. Table 1. Definition of Applied ABET criteria for applied statistics course Criterion Definition a1 An ability to select and apply the knowledge, techniques, skills, and modern tools of
mixing quantitative and qualitative data and analyses for the entire projectis shown in graphic form in Figure 1. A mixed methods approach is appropriate for this study tominimize pre-existing assumptions (such as those related to what research is or what a researchexperience should be) and to avoid gaps in our understanding (such as those related to epistemicbeliefs, which can be challenging to capture through quantitative methods alone)12.Figure 1. Plan for mixing quantitative and qualitative data collection and analysis. This paperfocuses mainly on activities within Phase One of the project.Our target population for all phases and data types includes mechanical engineering (ME) andbiomedical engineering/bioengineering (BME) undergraduate
Society for Engineering Education, 2017 #FunTimesWithTheTA – A Series of Fun, Supplementary Lessons for Introductory Level Biomedical Instrumentation Students (Work-in-Progress)Engineering is hallmarked by the process of assessing a need and implementing a design to meetthe need[1]. Over the years, universities have adopted the capstone Senior Design project inorder to provide students the opportunity to put their engineering skills to the test in real-worldprojects. However, educators agree that obtaining competency in engineering design requireshours of hands-on practice beyond the time and scope of a university course. As a result, we arepilot testing a series of supplementary active-learning
last decade.Part 1 – Creating Curriculum Materials to Measure a Baseline of Understanding The first portion of this project was to define the overall learning objectives and specificlearning outcomes for students in introductory digital logic courses. The following figure showsthe learning objectives and outcomes defined for this project. For each outcome, the associatedlearning category within Bloom’s Taxonomy. The taxonomy becomes important whendesigning the assessment tools to measure each learning outcome as they guide what informationis actually being assessed. 6
quality improvement by the MoHE (Babury & Hayward, 2014).Aturupane and Sofizada (2013) stated that "developing a good quality university system is a keychallenge facing Afghanistan" (p. 3) and further considered it one of the main priorities for thedevelopment of higher education in Afghanistan. Their report also concluded that, based oninternational experience, providing a good learning atmosphere requires appropriate action atthree levels: 1) state organizations responsible for quality assurance and assigning resources; 2)faculty members responsible for curriculum, teaching, and research; and 3) universitymanagement responsible for recruitment and facilities.2.1.2 Increased Access:According to Babury and Hayward (2014) one of the key
. (2014a) Education: Embed social awareness in science curricula. Nature 505, 477–478.Cech, E.A. (2014b). Culture of Disengagement in Engineering Education? Science Technology Human Values. 39(1) 42-72.Diekman, A. B., Brown, E. R., Johnston, A. M., & Clark, E. K. (2010). Seeking congruity between goals and roles: A new look at why women opt out of science, technology, engineering, and mathematics careers. Psychological Science, 21, 1051-1057.Diekman, A. B., Clark, E. K., Johnston, A.M., Brown, E.R., & Steinberg, M. (2011). Malleability in communal goals and beliefs influence attraction to STEM careers: Evidence for a goal congruity perspective. Journal of Personality and Social Psychology, 101, 902
Paper ID #17821Rethinking the Macroscopic Presentation of the Second Law of Thermody-namicsDr. Indranil Brahma, Bucknell University Doctor Brahma is an associate professor of mechanical engineering at Bucknell University. His primary research focus is data enabled modeling. Prior to his academic career he worked for about eight years in the automotive industry. c American Society for Engineering Education, 2017 1 Rethinking the Macroscopic Presentation of the Second Law of 2 Thermodynamics 3 Abstract: The classical macroscopic presentation of the second law of
-wise sense, the integral method approach ensures that the basic laws and resultingsolutions are satisfied only in average sense over the region. As noted earlier, the mathematicalimplication of this compromise is a reduction of the number of independent variables and/or areduction of the order of the governing differential equation. The basic steps of the integralmethod are as follows: 1) The first step is the integral formulation of the principle of conservation of energy. By integrating the differential equation of the heat conduction problem over the thermal layer δ(t), one arrives at the heat-balance integral governing the problem. Recall that δ(t) is a phenomenological distance representing the thermal penetration depth
propensitytoward lifelong learning. Making is of particular interest to the field of engineering and toengineering educators. The mission of this research is to develop a theory, inductively groundedin data and deductively built on literature, illuminating the knowledge, skills, and attitudes ofYoung Makers related to pathways forward to engineering and STEM-related majors andcareers. By describing educational pathways to or around formal engineering education, we willbetter inform future innovations to improve the practical ingenuity and lifelong learning of ourfuture engineers. The specific research questions to be answered are: (RQ 1.) What knowledge,skills, and attitudes do Young Makers possess that could be related to engineering? and (RQ 2.)How do
process of student outcomes in the engineering programs.IntroductionThe ABET-Engineering Commission (EAC) accreditation of engineering programs based onstudents’ learning outcome assessment (EC-2000) began in late 1990s. During the last few yearsof 1990s programs were given the choice of being evaluated based on the old criteria or the newlyestablished EC-2000 criteria. Since 2000, all engineering programs requesting accreditation forthe first time or seeking re-accreditation by ABET-EAC have been required to demonstrate thatprogram meets a set of criteria that include both the general criteria for baccalaureate degreeprograms and the program criteria required by the program lead society (e.g., ASCE, IEEE,ASME).1 The programs must also meet all
,particularly when unraveling ill-structured problems such as engineering design. The major aimof this five-year research project is to study the self-regulated learning (SRL) activities of collegeseniors engaged in a capstone engineering design project. This project is grounded in Butler andCartier’s SRL model, which describes the interplay between affect, motivation, cognition, andmetacognition within academic engineering design activities. Dym & Little’s design processmodel was also used as sensitizing theoretical framework. Specific objectives of the researchactivities in this project are to (1) Build research protocols and tools for studying student self-regulation; (2) Describe the self-regulation strategies in which students engage
prerequisites (Figure 1). The prerequisites includea manufacturing process course, which teaches about different manufacturing technologies ingeneral in lectures and machining processes specifically through hands-on workshop training.After this course, students have access to the student machine shop. For this course, studentscompleted a course on Technical drawing and Computer-aided design (CAD). Anotherprerequisite is a Thermo-Fluid Dynamics course which teaches about inviscid incompressibleflow, compressible flow, ideal gas mixtures, psychrometrics, reacting mixtures and combustion.Before taking this class, students completed courses on fluid mechanics (fluid properties, fluidstatics, continuity and linear momentum equations for control volumes
and improve retention in the discipline.1 Many of those courses focus onengineering design,2-6 and programming language instruction in these courses is of secondaryimportance. In these courses, programming is often taught in a fragmented way by having thestudents learn the basic rudiments of syntax and then modify examples by trial-and-error. Webelieve that the active-learning approach can enhance rigorous introductory programming coursesand have been developing a proof of this concept in a multi-year NSF-funded study of a novelpedagogical intervention.For the past few years we have offered two versions of our introductory C programming course.The first is a traditional course where students are given individual paper-based
in EWB community-basedhumanitarian projects in multiple chapters. Further, it examines the social, cultural, andprofessional interactions and exchanges between and among EWB members and communitystakeholders in EWB projects, examining several projects from a variety of chapters across thecountry.IntroductionOur project, “Exploring, Documenting, and Improving Humanitarian Service Learning throughEngineers without Borders-USA,” explores how engineering and technology students experienceservice learning during their undergraduate programs. 1 One example of service learning isEngineers Without Borders (EWB) USA, which seeks to find practical solutions to communityconcerns, such as clean water or sustainable sewage systems. This project is
Poisson’s equation hetergenous fromhomogenous (i.e, f=0 or f=f(x) from f=0). Students find appropriate polynomial functions foruse in the Galerkin method of weighted residual for the Poisson’s equation. The choice and orderof polynomial functions and its relation to modifying or refining a shape function in software isrealized.Finally, MATLAB and its partial differential equation toolbox, pdetool, is used to connect theGalerkin Method to classical engineering problems. How boundary conditions could have aneffect of reducing a 2-D problem to a 1-D problem was explored. This exercise allowed studentsto be conscientious of boundary conditions and the variety and applicability thereof, as evidencedthrough examination and homework assignment
research agenda on holistic faculty development. Specifically, our workshop centered around three key dimensions of holistic faculty development: (1) Inputs for Holistic Faculty Development, (2) Mechanisms/Processes for Holistic Faculty Development, and (3) Outcomes of Holistic Faculty Development (described in detail in the following section). Each thread explored research questions, methods, practices, and potential limitations of existing faculty development programs and research. (b) Collecting Participant Information: Some of the key components inspired by the previous conference include pre-event surveys to collect and analyze applications for attendance
thoroughly researched (Miller, Slawinski Blessing, and Schwartz,2006, Wang, Eccles, and Kenny, 2013). Career opportunities these fields are growing withadvancements in technology. The present study examines young students’ perceptions, of notonly engineering careers broadly, but also how students perceive career opportunities inelectricity and energy fields. This study explored the following research questions:1) Are there gender differences in engineering and electricity/energy career interests for youth ingrades 4-6?2.) Does an interest in engineering correlate with career aspirations in engineering or careeraspirations related to energy and electricity?3.) Do the factors of self-efficacy, outcome expectations, interests, and goals predict
Engineering Education, 2017 Work in Progress: Employing Applied Creativity and the Engineering Design Process in the Development of K-12 STE(A)M CurriculumIntroductionIt is understood that the success of the United States’ (US) economy as well as the nation’sability to address issues critical to human survival are strongly dependent on having a workforcethat is Science, Technology, Engineering and Mathematics (STEM) literate.1-10 A CarnegieCorporation commission reports, “Knowledge and skills from science, technology, engineeringand mathematics – the so-called STEM fields – are crucial to virtually every endeavor ofindividual and community life. All young Americans should be educated to be ‘STEM-capable
enrollment, international, online, transfer and first-time freshman students in the University System of Georgia. The Fall 2011 full-time enrollment (FTE) for both STEM and Non-STEM students was 20,466. Due to the non-traditional status of many of the students, an equation is employed to calculate full-time equivalents when defining FTE. Table 1 shows enrollment and graduation rates for STEM and non-STEM students. STEM students are defined as those that have enrolled in or taken Pre-Calculus and/or Principles of Chemistry. Table 1. Institutional enrollment, graduation, and transfer rates for STEM and non-STEM students entering 2011-2012. Non-STEM STEM Students
computers, the project strives to make the tools interactive and fun to use.Introduction The Introduction to Computer Engineering course is a fundamental first course forcomputer and electrical engineering and computer science majors. The covered course materialis used to learn about advanced computer engineering system design via subsequent computerengineering courses. Such systems are prevalent, in our day-to-day lives, in the form ofconsumer electronic products. Continuing trend in the industry and academia is to developmethods and techniques, which could encourage children to pursue engineering after graduatingfrom high school [1]. Several programs exist that cater to this growing trend. One such programis Project Lead The Way (PLTW) [2
innovation.Participation in REU programs has shown positive impacts on both undergraduate students andfaculty mentors [1]. For undergraduate students themselves, most of the positive effects are in theareas of analytic and critical thinking, academic achievement and retention, and graduate schoolapplications [2-3]. However, how to effectively engage the undergraduate students during andafter REU program in order to maximize the positive impacts is always a challenge for most REUsites [4-6].2. Project Design and ImplementationThis REU site is designed to develop and implement a model environment for multidisciplinarycollaborative efforts where research and education are tightly integrated around the differentfacets of energy research.In the first year (Summer 2015
was to determine what impact the program has on their self-perceived ability anddesire to succeed in a scientific field. A secondary goal was whether the student felt moreconfident in their ability to succeed in college and whether their comfort in a collegiateenvironment increased after the program. A six-point likert scale system was developed foreleven questions. The scale ranged from 1 (strongest agreement) to 6 (strongest disagreement).Students were asked to circle the number they most identified with during the first day of thecourse (pre-survey) and the last day of the course (post-survey). The choices for questions co-written with the help of a research psychologist who specializes in self-esteem and the role ofself in perspective
nationally that the United States is in urgent and critical need for the powerand energy engineering workforce [1]–[3]. The severity and urgency of the problem has alreadybeen recognized in the 2007 Long-Term Reliability Assessment [1] by North American ElectricReliability Corporation (NERC); it was recognized that “the loss of industry workers and theiryears of accumulated experience due to retirement is a serious threat to the bulk power systemreliability, exacerbated by the lack of new recruits entering the field.”The goal of this program is to significantly increase enrollment in electric energy-related STEMmajors at Washington State University (WSU) and prepare them for the workforce. Tosuccessfully achieve this goal, four components are needed
positionthemselves, grow through their education, and navigate the cultures of engineering theyexperience in college. Our goal is to investigate ways to engage students with non-normativeidentities to become more active and life-long participants in engineering disciplines. Our workis proceeding in three phases: 1) Identify, through a quantitative instrument, the normative andnon-normative attitudinal profiles of students in engineering; 2) Characterize students’normative and non-normative identities through in-depth interviews and analysis of differencesbetween students with normative and non-normative identities in engineering; and 3) Drawingfrom our findings, develop a workshop and set of courses to incorporate diversity topics intoengineering programs
and a Ph.D. in biomedical engineering from the University of Virginia. c American Society for Engineering Education, 2017 Work in Progress: “Blinded” Rubrics for Bioengineering Lab ReportsBackgroundLaboratory courses are typically divided into several sections each led by different teachingassistants, raising questions about consistency of grading across sections. Previous work hasdemonstrated that TAs can assign a wide range of grades for similar work in engineeringcourses, resulting in what one set of authors called the “TA lottery” for students [1]. Otherauthors have noted that writing assignments might be especially prone to inconsistent grading inSTEM fields, as many graduate TAs may not have received
Visual Impairments (EEVI) is a two-yearprofessional development program for teachers of students with visual impairments (TVIs),targeting grades 5-12 focused around bio-engineering. The overarching program goals are 1)Increase the science, math, and engineering content knowledge for TVIs; 2) Increase TVI’scapacity to teach science, math, and engineering concepts to students with visual impairments(VI); 3) Increase TVIs efficacy in science, math, and engineering; 4) increase TVIs capacity tomake modifications and accommodations for students with VI to pre-existing science, math, andengineering lesson plans; and 5) Improve students’ with VI achievement in science, math, andengineering. To date the TVI professional development, which was intended
within and beyond the engineering education community on how tocharacterize the impact of research [1]. Over the last decade, researchers in other fields havebegun to take a scholarly approach to distill what impact looks like for them [e.g., 2-5]. Thisstudy serves as a comparable exercise for the field of engineering education while adding anemphasis on how research does and should impact practice in our context. Using a convergent parallel mixed methods research design [6], the two-fold aim of thisstudy is to develop a valid framework that characterizes the impact of engineering educationresearch, and describe engineering education researchers’ and practitioners’ perspectives on howresearch does and should influence practice in our
gender grouping on female students in various instructionalcontexts, such as authentic engineering design tasks and collaborative learning in inquiry-based science, little has been done on design-based science (DBS), a relatively new pedagogyin which students construct scientific and engineering knowledge and problem-solving skillsthrough designing components, artifacts or systems (Fortus, Krajcik, Dershimer, Marx, &Mamlok‐Naaman, 2005). This paper is an effort to address these inadequacies.For this purpose, the present study explored (1) the relationship between gender grouping andfemale students’ behavioral/emotional/cognitive engagement in DBS learning; and (2) therelationship between gender grouping and female students’ achievement in
alongside their human counterpartstowards the completion of a common task 1.In the context of engineering education, co-robots have the potential to aid studentsduring tasks that may require real-timeobservation and feedback 2. Figure 1presents a scenario that involves a student(left) and a co-robot (right) working togetherin an engineering design workshop. Here,the task to be completed is the design of anengineering concept/idea/prototype, created Figure 1: Student-Co-robot Collaboration towards the Successful Completion of an Engineering Prototypeusing tools such as a hammer, wood, andother engineering laboratory equipment and materials. The primary objective of the student is tocomplete