attention by the instructional designers.Even though the effects of multiple types and forms of feedback have been investigated in alarge variety of instructional contexts, some of the widely used feedback types in a multimedialearning environment are: 1. Knowledge-of-response (KOR), which indicates that the learner’s response is correct or incorrect. 2. Knowledge-of-correct-response (KCR), which identifies the correct response. 3. Elaborative feedback, a complex form of feedback that explains, monitors, and directs, such as answer-until-correct (AUC).A meta-analysis done by Azevedo and Bernard suggests that the achievement outcomesgenerally are greater for students receiving CBI that utilizes feedback than for comparisongroups with
) involves the inclusion of “keysustainable development issues into teaching and learning such as climate change, disaster riskreduction, biodiversity, poverty reduction, and sustainable consumption.”1 Education about greendesign and building is defined by the US Environmental Protection Agency as “the practice ofcreating structures and using processes that are environmentally responsible and resource-efficient throughout a building's life-cycle from siting to design, construction, operation,maintenance, renovation and deconstruction.” 2 Therefore, sustainability education has to do withteaching about using less energy and fewer resources, recycling, about buying locally andorganically, designing and building with environmentally mindful or “green
children’s motivation, interest, and awareness inSTEM.IntroductionWith the need to prepare students for the 21st century workforce a university with a very diversestudent population strives to address one of the critically important issues facing society:increasing the number of underrepresented students pursuing and completing degrees in science,technology, engineering, and mathematics (STEM) fields. Evidence within the Department ofLabor reflects that fifteen of the twenty fastest growing jobs projected for 2014 requiresignificant preparation in mathematics and science with the numbers of STEM professionsexpected to grow at a faster rate than those non-STEM professions[1]. Although careers in STEMprovide paths out of poverty, make significant
of the camp are tied: approach,activities, advertising, application process, assessment and budget.The mission statement for Engineering Summer Camps is: To provide an enlighteningeducational, hands-on experience for elementary, middle and high school students and teachersthat introduces, broadens perspectives and enhances experiences in the disciplines ofengineering and to attract a diverse population to the field of engineering by providing initial orreinforcing positive experiences to all populations. Page 26.644.3The goals are:Goal 1: Attract a diverse population to summer programs.Goal 2: Provide an overview of engineering and its many
-related projects. Such an observation was coherent with the findings by other educators11.It became critical to broaden their views of sustainability and sustainable engineering designfirst.Pawley et al. proposed to use six factors to evaluate an engineering project at the early stage12.These six factors were systems, time, energy, modeling, people and scale. They could be usedseparately, or in pairs to assess the sustainability related opportunities/concerns in a project. So, a6x6 table could be formed (see Table 1 attached as Appendix B) and an engineering design ideashould be questioned with respect to the factors labeled in the corresponding row and column12.It would be ideal to fill in all cells (except the shaded ones) with some questions
Foundations project, whose report ispublished in The Curriculum Foundations Project: Voices of the Partner Disciplines [8]. Themathematics knowledge and skills gap encountered by undergraduate engineering studentswhen they enter the engineering courses requiring the use of mathematics abilities, taught inthe three semester calculus sequence and Differential Equations courses, has been welldocumented [1, 4, 9, 10, 5, 6]. However, there is 'widespread agreement among academics andpracticing engineers that a good grounding in mathematics is essential for engineers' [11, 12].Online computer-aided assessment and learning packages have been shown to be an effectivetool for increasing engineering students’ knowledge of experimental design [13, 14
Mathworks® software, Matlab andSimulink. The full list of laboratory exercises is given in Table 1, with descriptions following. Table 1: Simulation-Based Lab Exercises Lab Number Description 1 Introduction to Matlab, Simulink, and LabVIEW 2 System Modeling in Matlab/Simulink 3 Modeling and Simulation of Second Order Systems 4 Modeling and Simulation of Higher Order Systems 5 Introduction to Frequency Response 6 Selection and Performance of Filters 7 Introduction to Feedback Control 8 Ziegler-Nichols PID TuningLab 1Lab exercise 1
specialized responsibilities for the purpose of launching their rockets, collecting data to be processed, and writing a report. Metric units were used.Introduction and Educational GoalsModel rocketry is at once miniature astronautics, technological recreation, and an educational tool.A model rocket is a combined miniature version of a real launch vehicle. A model rocket is a veryconvenient metaphor to illustrate many important engineering concepts and principles in a fun andexciting way. Once a model rocket leaves the launcher, it is a free body in air. Model rocketshave been used as student projects for decades. Other similar publications [1, 2, 10, 11, 17, 20,and 21] report engineering projects in the same general area, but this project is unique
.1)4 would positively impact the I&E ecosystem atparticipating institutions.The program’s sizeable network of institutions, collective impact design, and emphasis onfostering inter-organizational communication and collaboration towards a shared goal makes itan excellent source of study for other large-scale initiatives aimed at fostering change in the post-secondary educational context. Results of this study will contribute to our understanding ofinter-organizational and team-based collaboration networks to promote educational innovationsin engineering education.INTRODUCTIONHistorically engineers were the drivers of innovation and a huge source of competitive advantagefor the United States5,6. However, with the publication of the 1955
learning engineering is important to studyand understand for various reasons, including: (1) use of technology tools by students is widespread,and (2) use of technology tools in primary, secondary, and college classrooms is increasing rapidly asnew devices that balance cost, functionality and portability shift the use of computing devices frompersonal purposes to mainstream course applications, such as with 3D printing, for academicpurposes. We will present the results of studying the impact of using one such device, a 3D printer,on students’ academic performance via a subset of course objectives for an introductory engineeringcourse. This paper inherently focuses on student perceived value and learning impact(comprehension of learning outcomes
in the engineering department by a mechanical engineering faculty member, who’sresearch background is in computational fluid dynamics. The curriculum employs many of thenewer pedagogical approaches including a pseudo flipped classroom4, Process-Oriented GuidedInquiry Learning (POGIL) method5, clicker questions, and kinesthetic lectures6. In addition,traditional techniques are still used such as an abbreviated, concise board lectures and hand-written exams.Aside from the peer learning methods implemented and discussed in this paper, the othersignificant change that was made from Spring 2013 to Spring 2014 is the total amount of in-classcontact hours. As of Spring 2014, the course meets twice per week for 1 hour and 50 minutes,which is an
science, technology, engineering and math (STEM)student retention rate is 56% vs. 67% for all majors, and that 16% of STEM majors are femalewhile 57% of all undergraduate students are female. Using these statistics, the authors identifiedthe need to offer motivating experiences to freshman in STEM while creating a sense ofcommunity among other STEM students. This paper reports on the impact of two interventionsdesigned by the authors and aligned with this need. The interventions are: (1) a one-day multi-disciplinary summer orientation (summer15) to give participants the opportunity to undertakeprojects that demonstrate the relevance of spatial and computational thinking skills and (2) asubsequent six-week spatial visualization skills training
develop the experiment themselves. There were no step-by-step procedures. The lab reports were then used to fulfill the task as targeted to the audiencerather than to report just methods, results, etc.The paper presents details on the both the 2014 and 2015 class structures with exampleassignments and reports. It also compares report grades from previous semesters to the gradesfrom the 2014 and 2015 formats. Results of a student survey and a concept quiz, as well asvarious observations about student performance, pitfalls, and planned modifications are alsoincluded.1. IntroductionOver the past few years, there has been increasing debate over the pros and cons of activelearning in the classroom and many have moved away from the traditional lecture
programs inthe early stages of developing new program evaluation techniques. Introduction The College of Engineering (COE) at Iowa State University (ISU) has used on-lineassessment surveys since fall 2001 to collect workplace competency assessment (WCA) data toquantify internship students’ demonstration of 15 workplace competencies linked to the ABETCriterion 3 (a-k) outcomes [1]. This study examined how engineering programs at ISU utilizeWCA data for continuous improvement activities as part of the ABET accreditation criterion forachievement of student learning outcomes. Data collected from engineering internship student’sself-assessments and their supervisors’ assessments provide important
concern or question expressed on pre-experience survey was: how can successfulwomen achieve work/life balance and have success in both family and career? Other commonconcerns expressed by participants on the pre-program surveys included: overcoming feelings of“inadequacy” or the imposter syndrome;1 how to speak up when silenced, interrupted, orignored; and how to negotiate for what participants need to be successful.The qualitative responses, both on the pre-program survey and from observations of discussionin the first session, suggest a deeper motivation for participating: many participants feel isolatedin their work. For the participants in this project, the presence of a structured and facilitatedprogram offered certain advantages over less
combined course and a design course (Engineering Design 2). Statics &Dynamics introduces applied mechanics from an engineering standpoint and is the first of fiverequired "engineering science" courses in the curriculum. The statics and dynamics course hasthree class meetings each week and one lab meeting each week. Course labs have been designedto pair with course classroom content and involve activities such as learning to take forcemeasurements with load cells. Engineering Design 2 is the second design course in a two coursesequence (Engineering Design 1 and Engineering Design 2) and introduces students to process-based design in preparation for their capstone sequence.6-10 For the past five years and for theforeseeable future, Engineering
gains [1, 2, 3, 4, 5, 6, 7]. Yet, outside of time-consuming observation protocols [8, 9],little systematic work has been done in characterizing classroom activities, due in part to a lackof proper instrumentation [10]. Additionally, students can engage in activities in very differentways than instructors intend [1, 2], so it is important to account for the student perspective. Thispaper reports current progress towards an effort to develop and rigorously assess a student surveyinstrument aimed at this purpose in post-secondary STEM classrooms: the Student Class Activityand Engagement Instrument (SCAEI).The SCAEI is based on Chi’s Interactive, Constructive, Active, and Passive (ICAP) framework[1, 2] . The ICAP framework differentiates
theimpact of PFX on students’ prototyping awareness. In this study, students at a large Mid-Atlantic university were taught three prototyping lensesbased on the PFX methodology: (1) Prototyping for Viability, (2) Prototyping for Feasibility, and(3) Prototyping for Desirability. This paper presents preliminary findings on the relationshipbetween these three prototyping lenses and students’ prototyping awareness, which we define asstudents’ ability to identify their mental models during the prototyping process. We useprototyping awareness as a proxy to measure adoption and implementation of PFX methods. ThePrototyping AWareness Scale, or PAWS was created for this study, and we discuss its internalconsistency and future iterations. Data were
, we review some of the critical points. The Lids problem challenged students todesign a way for individuals who have limited or no use of one upper extremity to open a liddedfood container with one hand. The Snow problem challenged students to design a way forindividuals without lots of skill and experience skiing or snowboarding to transport themselveson snow. In addition to a needs statement, each problem included a paragraph for backgroundcontext and brief instructions. Both problem contexts were modified into three differentframings: (1) neutral framing, (2) adaptive framing, and (3) innovative framing. The neutralframing was intended to leave designers uninfluenced with respect to their natural ideationprocesses. In theory, the neutral
books, 1 book review, 55 journal articles, and 126 conference papers. He has mentored 1 B.S., 17 M.S., and 4 Ph.D. thesis students; 31 undergraduate research students and 11 undergraduate senior design project teams; over 300 K-12 teachers and 100 high school student researchers; and 18 undergraduate GK-12 Fellows and 60 graduate GK-12 Fellows. Moreover, he di- rects K-12 education, training, mentoring, and outreach programs that enrich the STEM education of over 1,500 students annually. c American Society for Engineering Education, 2016 Gender-Specific Effects of A Summer Research Program on STEM Research Self-Efficacy1. BackgroundThe concept of self
sequence of courses is intended for students to not only use skills learnedthroughout their academia endeavors, but also to require students to go beyond traditional coursework and expand their knowledge base by deeper researcher, through consulting with subjectmatter experts and experiential learning. Most projects are industry sponsored and for aconsiderable portion of students, the capstone project represents their first interaction with anindustry-like environment. At ECU DoE, two sequential project management and design coursesare required before students begin the capstone course as part of a spiral curriculum [1]. Thesecourses are designed so that the students can begin thinking about the design process and gainsome experience in managing a
Midwest. Of the willing respondents, the majoritywere female (58.0%) and White (71.4%). Most of the study respondents were freshmen (46.4%),between the ages of 18-24 (88.9%), full-time students (87.6%), and off campus residents(55.7%). In terms of college major, many students were in the health sciences (13.2%) followedby engineering and architecture (12.8%) along with business (12.8%). Table 1 presentsdescriptive statistics for the sample.Table 1Description of sample (N=476) Variables % Academic College classification Freshman, first-year 46.4 Sophomore, second-year 2.1 Junior, third-year 13.0 Senior, fourth-year 33.6 Missing 4.8 Enrollment
and abroad, very fewHigher Education Institutions have adopted the integrated Lean Six Sigma approachfor waste reduction and variability reduction, which leads to superior performance andenhanced student satisfaction.Key words: Lean Six Sigma, Process Excellence, Quality, Higher EducationIntroductionThe last two decades have witnessed an increased pressure from customers andcompetitors for greater value from their purchase whether based on superior quality,faster delivery, or lower cost (or a combination of both) in both manufacturing andservice sectors (1). Lean is a powerful business process improvement methodology tominimize or even eliminate different forms of waste or non-value added activities. SixSigma, on the other hand, focuses on
disparatematerial across disciplines into a cohesive and fully interdisciplinary sequence, we are just nowin a position to redefine our learning outcomes for the HERE Program. Our most recent list oflearning outcomes (Figure 1) is informed by the learning outcomes of the ACPA (AmericanCollege Personnel Association) (Figure 2) and by the revised established learning objectives ofthe courses we teach.Our revised list puts ethics, actions and values and emotions in the top three positions. Engaged Page 26.1696.4learning is a primary goal of any critical pedagogy, especially in education for sustainability, andespecially in a living-learning community
DevelopmentIntroductionAlbert Einstein once said, “intellectual growth should commence at birth and cease only atdeath.” 1 To develop students who can achieve lifelong learning is a goal of higher education.2Because lifelong learning is vital to an engineer's career, the accreditation board for engineeringand technology (ABET) included lifelong learning as one of its student outcomes. ABET statesthat by graduation students should have "a recognition of the need for, and an ability to engage inlife-long learning."3At The Ohio State University’s Engineering Education Innovation Center (EEIC), students areoffered a wide range of engineering courses through the first-year engineering program and asenior-year multidisciplinary capstone program. A requirement for all first
projects.Systems engineering program assessment includes assessment of student outcomes that mirrorthe ABET a-k outcomes. These outcomes are assessed in the system engineering core courses(see Appendix: Table 1). The achievement of each of the 11 SYEN student outcomes (SOs) is tobe demonstrated by a primary core course and often by one supporting course. The assessment ofeach SO is based on quantitative performance measures that directly assess the SO. Assessmentmethodology is based on the student work, such as assignments, exams, projects, presentations,laboratory experiments, etc. Samples of student work supporting assessment of SOs are retainedand placed in the course binders maintained in the department office.The student outcomes are assessed as per
lab exercises. In this study, wedescribe a shift in laboratory procedures from following of rote procedures, a so-called “recipe”-based approach, to one where students are given freedom to design and implement their ownprocedures, an inquiry-based approach. This study is timely in that it occurred at a time whenthere is a push in engineering education toward inquiry‐based learning, as described by Froyd, etal.1, who explain that inquiry‐based learning exercises comprise part of a major shift in currentengineering education trends, whereby the results of education research are being used to modifyengineering curricula. A study by Self and Widmann2 demonstrated how inquiry-based learningactivities show promise for teaching non‐intuitive
between simulation and hardware labs. Students use the last month of the semester towork on simulation lab 4 and hardware lab 4. Table 1. Online Weekly Schedule (S: Simulation Labs, H: Hardware Labs) Week Topics Labs 1 Electrical Circuit S0: Simulator Tutorial: Using Logisim Fundamentals, Logic Circuit Description, Truth Tables 2 Boolean Algebra, Logic H0: Using a Prototype Board and Voltmeter Minimization, Karnaugh Maps 3 Number Systems, Addition and S1: Half Adder, Increment and Two’s Complement Subtraction, 2’s Complement Circuit H1: Debugging a Half and Full Adder 4 Advanced Combinational
of teaching.1. IntroductionSkills such as communication, professionalism, ethics, and project management are notspecifically taught within the engineering graduate curriculum. These skills, referred to as softskills or professional skills, are often assumed to be acquired as a result of performing academictasks and “constant” communication with other graduate students and faculty members [1]. TheCanadian Association of Graduate Studies (CAGS) recognizes the duty and responsibility ofuniversities to train these soft skills. CAGS defines professional development as knowledge thatmust be provided along with practice and continuous coaching within the graduate programs [2].During their first year of graduate studies, many engineering students
plays a limited role in engineeringdesign. Various different strategies can create acceptable solid models. For example, somethingas simple as a washer can be modeled by 1) extruding two concentric circles, or 2) revolving arectangle about an axis.When the modeled part is complex and utilizes multiple constrained sketches, extrudes, revolves,holes, mirrored features, patterned features, etc., many of which may depend on one another,evaluating the quality of the model becomes a time-consuming task1 and one that can be affectedby fatigue and influenced by subjectivity. It is important that the model not just reproduce therequired geometrical shape and size but that it be changeable in the future in a manner thathonors the design intent2. Because