a culminating design experience thatincorporates “appropriate engineering standards and multiple realistic constraints.” To exposestudents to engineering standards, all capstone participants must successfully complete ANSI’sintroductory online course on standards entitled “Why Standards Matter.”5 The course is free,and requires students to complete and pass several online quizzes in order to earn the certificateof completion. The realistic constraints listed in Criterion 3(c) include: economic,environmental, sustainability, manufacturability, ethical, health and safety, social, and politicalfactors. Each student must individually assess their project based on these factors, and then theteam as a whole formulates a position on each
. Despite these alarming statistics, little educational research has been performedon why engineering undergraduates cheat at such high levels and what can be done to reduceacademic dishonesty. The authors’ ongoing research project, Perceptions and Attitudes towardCheating among Engineering Students (P.A.C.E.S.) seeks to change this situation. The ultimategoal of our research is to clarify students’ perceptions of cheating, to assess how frequentlycheating occurs, and to suggest practical methods that can be used to help students resist thepressures that encourage cheating.The P.A.C.E.S study consists of a seven page, self-reported survey that investigates: (1) themagnitude of academic dishonesty among engineering undergraduates, (2) student
legislators andmedia representatives have “no clear conception” of what consulting engineers do, while 54.3%of media representatives, 45.7% of federal legislators, and 36.1% of business leaders “do notknow” the position of the consulting engineer within larger society. 17 This image problemdirectly hinders the attraction and retention of quality students to the profession—a trend thatcould have serious consequences on the future of civil engineering.Civil engineering is not the only profession that is having difficulty attracting top students. In asobering report entitled “Accounting Education: Charting the Course Through a PerilousFuture,” the nation’s leading accounting firms and societies presented a critical assessment ofcurrent education and
models and in-context learning toprovide a variety of answers to individuals [1]. The pre-training phase lets the model learnnaturally and then it is fine-tuned by the creators [2]. Then, in-context learning uses algorithmsto interpret human language to extract useful information [2]. ChatGPT can be used to answerquestions, create content, program, or explain material [3]. Some students are beginning to embrace ChatGPT to complete their coursework, butthere is no widespread agreement among administrators, faculty, and students on whether toembrace it or not. ChatGPT provides students with a customized learning experience allowingthem to obtain new knowledge or assess their current work; whereas teachers could use it forclass preparation
. This work describes one team’sjourney in navigating an adaptation of a well-known Advocates and Allies program onto aSTEM-intensive campus. We include some assessment results from the workshops and closewith recommendations for establishing and maintaining an A&A program.STEM ContextMichigan Technological University is nationally and internationally recognized for both itsresearch productivity and for educating students, particularly in engineering and the sciences. Itis a STEM-dominant doctoral institution with 75% of faculty in STEM disciplines and $90M inresearch expenditures annually (~$200k per T/TT faculty). Like many academic institutions,Michigan Tech must continually address the challenge of increasing diversity, equity, inclusion
end-of-semester course assessments indicated that the lab did not relate to material covered in lecture. In addition, it was desired to develop some additional labs to introduce content on DC – DC converters, which are not included in the Lucas Nuelle training system. For this, the Texas Instruments (TI) Power Electronics Board mounted on the National Instruments (NI) ELVIS III platform was adopted for three of the fourteen labs. However, the students’ end-of-semester ABET assessments expressed extreme frustration with this platform, and it was ultimately abandoned. Since the course redesign, the course evaluations and ABET assessments have been outstanding, and have not highlighted any concerns or
8 Proceedings of the 2024 ASEE North Central Section Conference Copyright © 2024, American Society for Engineering Educationtrebuchet project is a positive influence on the students’ perceptions of their own engineeringability. This survey will be given to the students before and after the project each year they are inthe engineering program. This is intended to follow each student cohort as they progress throughthe ME program to assess the self-efficacy of their engineering skills and which experiencesmost influence them. The motivation for and process of developing this survey for pedagogicalresearch data collection is presented in the next section.Future Self-Efficacy Data CollectionStudents
, related reading, videos presentations, andcasting simulation projects. The distance learning environment is very different from theconventional face-to-face classroom. Laboratory demonstrations and data gathering werereplaced with simulations and questions related to output. The simulation tool was used toperformed demonstrations and conduct experiments pertinent to the content of the activity beingstudied. All distance learning class sessions were recorded by students for review and fordiscussion.Curriculum goals/objectives of activities were aligned with key learning outcomes. At the end ofeach activity the key learning outcomes were assessed from a technical report and examination.Key to the organization of these activities was the sequencing
developed various ways of pairing mentors to protégés. Activities such as SpeedMentoring25, personality surveys, and protégé chosen mentors13 have been utilized in forming amore cohesive mentoring pair. Although these pairing mechanisms have assisted programcoordinators in slowly diminishing stated flaws within a program, these flaws are still notcompletely overcome.Myth #2: Informal Mentoring Programs are Always More Effective than Formal MentoringProgramsFormal mentoring is the term used to define a planned mentoring process3. Individuals aregenerally placed together in various mentoring groups and attend scheduled meetings3. Meetingtimes and other scheduled events are logged, and financial costs may be documented to help theinstitution assess
was higher for the FORCES cohort (12.4%) than for theothers.Quantitative and qualitative data collected via surveys are being used to evaluate the Page 22.1047.2effectiveness of FORCES components; a preliminary assessment of some of those components ispresented here. Lessons learned during the first year of FORCES implementation are being usedto modify the program to improve the outcomes for current and future cohorts.IntroductionStudies indicate that a number of parameters, including qualitative skills, social integration andacademic integration impact student retention to varying degrees.1,2 This paper compares firstyear retention and
AC 2011-2209: TEACHING MECHANICS WITH MAPLERadian G Belu, Drexel University (Tech.) Dr. Radian Belu is Assistant Professor within the Engineering Technology (ET) program - Drexel Uni- versity, Philadelphia, USA, and Research Assistant Professor at DRI, Reno, Nevada. Before joining to the Drexel University Dr. Belu hold faculty and research positions at universities and research institutes in Romania, Canada and United States. His research interests included power system stability, control and protection, renewable energy system analysis, assessment and design, power electronics and electric machines for wind energy conversion, radar and remote sensing, wave and turbulence simulation, mea- surement and modeling
the assignment.The first efforts to utilize the method are described in the paper, complete with assessments ofstudent learning and satisfaction. It is of particular interest to determine if learning styles anddemographics of the students influence performance under the new class method. Courseassignment and exam scores, compared to previous offerings of the course, will be used to assessperformance. Surveys of the students will used to assess their time commitment, comfort level,perception of fairness, and overall satisfaction. Since the method can be thought of as shiftingmore of the learning burden to the students themselves, a survey will assess motivation and itseffect on involvement and performance. An estimate is also made of
custom laser tag modules deployed on-board each vehiclethat make possible a wide variety of one-on-one and multiplayer competitions that increase bothstudent motivation and spectator interest.The overall structure of the course is discussed, including a project management frameworkshared with other technical projects offered concurrently. The paper details the coursecompetencies – specific, measurable skills and knowledge connected to learning outcomes forour degree programs – associated with the senior project course, and it includes an assessment ofhow well the robotic laser tag project meets these expectations. The organization of the projectand supporting infrastructure is described in detail, as are the experiences of the first year of
colleges of engineeringfrom four participating universities. Student respondents filled out a 20-minute survey, amongwhich were assessments of the three forms of self-efficacy. The analysis of the data revealedthat social support in the first year from friends, family, college support services, and facultyfurnishes a powerful and independent impact on efficacy over and above demographic qualities.The only demographic characteristic that preceded social support as an explanation of self-efficacy was the impact of academic performance on academic self-efficacy. Otherwise, socialsupport furnished the most significant explanation of work, career, and academic self-efficacyupon completing the first year in undergraduate engineering
) requires a ‘meshing’ of human expressive modalities. Nathan& Johnson19 argue modes are in service of each other, for example the use of gesturingaccompanied with speech helps students organize their ideas in meaningful ways. Oftenphenomena is being imagined in 3-dimensions, and the use of gestures can compliment student-generated graphic models that are often in 2-dimensions. Finally, combining modalitiesfacilitates an understanding of phenomena that varies in scale, temporality and causality. The useof multiple modes to express ideas highlights gaps in reasoning often not identified if only onemode of thinking is used. It is difficult to assess student drawings without written work, andanalysis of these drawings often requires student verbal
across engineering disciplines to predict interdisciplinary skills. At most, they predict 41% of the variance for industrial engineers; at least, they predict 16% of the variance for electrical engineers.8. For all engineering subdisciplines except industrial and general engineering (and engineering Page 22.519.12 seniors in aggregate), a student’s SAT critical reading score is a good predictor of their senior-year, self-reported interdisciplinary skills. Since the critical reading test is partly designed to assess analogical reasoning59, it stands to reason that students exhibiting this ability before matriculation would
]. Thispractice is done at nearly all institutions, however, the format that is followed varies widely. Thisinclusion is, typically, done through experiential learning techniques [4,5]. Two modes ofexperiential learning situations which are frequently used include internships and appliedresearch problems within the curriculum. The College o Engineering and EngineeringTechnology at Northern Illinois University deals has developed one mode of project and real-world integration through large-scale cross-disciplinary projects.Objectives and outcomes developed for each program detail what skills and knowledge eachgraduate will possess at the end of their studies. It is these objectives and outcomes which are atthe heart of the assessment process and also at
operations; heat transferoperations; mass transfer operations; and chemical reactor design. Over the three-year CCLIproject, activities/modules will be developed and incorporated into each of these courses, witheach activity/module focusing on a particular element from the process intensification spectrumand designed to also enhance vertical concept integration. This poster presentation focuses onthe activities and modules developed in Year 2. The preliminary assessment data collected fromYear 1 implementation are also presented.IntroductionThe chemical industry faces numerous challenges in the coming years due to decreasingavailability of raw material and energy resources. Thus, existing processes must operate in anefficient manner, with maximum
who provide engineering services which have a potential impacton the public health, safety and welfare. To accomplish that purpose, licensure laws stipulateminimum levels of engineering education and experience, and require that applicants passexaminations intended to assess technical competence. The state laws and rules also provide Page 22.598.4codes of professional conduct, requiring among other things that engineers hold paramount theprotection of the public health, safety and welfare, and stipulate disciplinary processes for thoselicensed professional engineers who are determined, following due process, to have not compliedwith the
international competitions, students are asked to complete surveys. Thesurvey covers a variety of topics, including the following: awareness and interest in ocean STEM Page 22.648.7careers, increased desire to take STEM courses due to involvement in the program,awards/honors received as a result of competition experience, and self-assessment of change inSTEM knowledge.Most of the regional competition surveys are conducted via paper forms later entered into SurveyMonkey. The international competition surveys are conducted in computer labs with directaccess to the web survey in Survey Monkey. Data is then extracted from the web system andanalyzed with
) Collaboration is essential (v) What students learn during their self-directed learning must be applied back to the problem with reanalysis and resolution (vi) A closing analysis of what has been learned from work with the problem and a discussion of what concepts and principles have been learned are essential (vii) Self and peer assessment should be carried out at the completion of each problem and at the end of every curricular unit (viii) The activities carried out in PBL must be those valued in the real world (ix) Student examinations must measure student progress towards the goals of PBL (x) PBL must be the pedagogical base in the curriculum and not part of a didactic curriculum (pp. 12-14
of assessment,analysis, and adjustment. Facilitating this process is an additional benefit for students that comesfrom the formal recognition by the Compact of the sequence of courses (shown above) through2 The full list of courses, course descriptions, learning objectives, the Memorandum of Understanding signed by Page 22.700.9participating institutions, and the list of signatory institutions in the Voluntary Mechanical Engineering TransferCompact can be found here: www.thecb.state.tx.us/mechanicalengineeringtransfercompact.the freshman and sophomore years. The consistent sequence of courses will make it possible totrack and
damping. ii Compute the natural frequency and predict the response for a one-degree-of- freedom system undergoing torsion vibrations, with or without damping. iii Compute the natural frequency and predict the response for a machine with a rotating unbalance.2. Students will have the ability to design and conduct experiments, as well as to analyzeand interpret data. (ABET Criterion b)Performance Criteria iv Practice vibration measurements on a structure using state-of-the-art equipment, rigor and documentation. v Analyze the data from an experiment appropriately. vi Assess the validity of the experimental results and compare with theoretical results when
faculty and research positions at universities across the country.The U.S. National Science Foundation created the ADVANCE program in 2001 to focus on developingcenters to increase the participation and advancement of Women in academic Science and Engineering(see http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5383). The ADVANCE program has 3funding areas: 1. Institutional Transformation (IT) – support systemic organizational approaches in higher education that will result in increasing the participation and advancement of women in STEM academic careers, 2. Institutional Transformation Catalyst (IT-Catalyst) – support organizational self-assessment activities that will result in issue identification and resolution of
the firstyear of implementing the corrective action program in the fall of 2008, the numbers roseby 18%. Student surveys and interviews are used to qualitatively assess the program andOU-ECE enrollment numbers are used as a quantitative assessment. I. Introduction:This paper has resulted from the need to correct the problem of reduced enrollments in Page 22.285.2Electrical & Computer Engineering (ECE) at the University of Oklahoma (OU). Afterstudying the situation in more depth it was noticed that our problems are similar to whatis occurring across the U.S. in engineering. A trend was noticed from the latest “Digestof Education Statistics
AC 2011-1050: COMPUTATIONAL EXPERTISE IN ENGINEERING: ALIGN-ING WORKFORCE COMPUTING NEEDS WITH COMPUTER SCIENCECONCEPTS.Claudia Elena Vergara, Michigan State University Claudia Elena Vergara. PhD Purdue University. Fields of expertise: Plant Biology and STEM Education Research. Dr. Vergara is a Postdoctoral Fellow at the Center for Engineering Education Research (CEER) at Michigan State University. Her research interest is in STEM education through research projects on instructional design, implementation and assessment of student learning, aimed to improve science, engi- neering and technology education.Mark Urban-Lurain, Michigan State University Director of Instructional Technology Research & Development
highly populated areasin Dallas/Fort Worth. The releases were modeled based upon a number of scenarios that theresearchers deemed plausible for a terrorist attack. The research experience was used to developa lesson plan for a high school chemistry course. Preliminary assessments (pre-survey) were conducted to collect demographic data, gaugethe students’ knowledge of and interest in engineering and measure their knowledge of conceptsrelated to the lesson. The lesson plan was implemented in three phases: a lecture based on theRET dispersion modeling project, a computer modeling lab during which students modeled achlorine gas release using AERMOD and a kinesthetic lab during which students performed amicroscale experiment involving the
National Science Foundation, was directed at assessing and redefiningscholarship to improve teaching quality, improve quality of graduates, improve quality ofcurricula and courses, and increase faculty participation in service activities. Numerousprofessional and scholarly organizations later joined this effort to produce a publication by theAmerican Association of Higher Education in 1995. Among other publications, Diamond(1995) authored Preparing For Promotion and Tenure Review which provides guidance fordocumenting activities to be considered when preparing for an evaluation of an expandeddefinition of scholarly work. In a previous publication, Diamond, et. al., (1993) identified sixcriteria by which to judge if an activity is scholarly work
list consisting of ten examples that you both agree upon. Be prepared to share anitem from your list and explain your reasoning with the whole class. • Purpose: This activity will assess the prior knowledge of the students and allow them to explore the design space. • Cognitive level: This activity has students thinking at the comprehension, application, and analysis levels of Bloom’s taxonomy. • Proper focus: The task is narrow and students should remain focused. • Goals: This exercise targets one course objective (understanding how microprocessor systems affect human life) by exploring the application domains of microprocessors and microcontrollers. • Positive
team-style was that it helped to break thelecture into two separate portions, therefore getting the students to break the monotony of thelecture, and pay more attention to the content7.2.1.3 Preparing Homework AssignmentsAssigning homework problems and projects was one of the most difficult aspects of teaching forme. As a graduate student who had never taught undergraduate students, I found that myexpectations and standards were really high. As a result, I started the semester with assignmentsthat I found very exciting, but was soon faced with the problem that I believe most first-yearfaculty must face: I overestimated how much work the students can handle. I learned that it isimportant to assess the expected difficulty level of a course and