for undergraduate, peer teaching assistants (peer-TAs or PTAs) working inengineering courses. The employment of PTAs has become more common in large enrollmentengineering courses to increase student-to-instructor interactions. PTAs might be able to rely ontheir own experiences in the classroom, but learning experiences are not enough to translate toeffective teaching. Therefore, it is essential to provide PTAs with training to guide and maximizetheir positive impact on students and their learning. This review addresses the research questionHow are PTAs trained to work in engineering classrooms? More discretely, (1) How are PTAtraining programs structured? (2) What skills or lessons are taught and prioritized? and (3) Howis effective training
www.slayte.com Praxis in Preventing Depression through Classroom Activity by Prioritizing Authentic Interaction: A Theory of ChangeIntroductionDepression among students studying for professional degrees such as engineering is anunderassessed element of our society. Assessing the degree and dichotomy of depression may bedifficult for domain specific educators to describe due to a lack of background in assessingdepression, and as such will not be the focus of the present study.What can be enabled however, is to provide opportunities for enhancing the social network ofour programming, to build community, and to allow students to find focal points to enrich theirsense of belonging. This is possible in our curriculum by judicious
Engineering Education Research Programs at University of Michigan (U-M). Dr. Finelli is a fellow in the American Society of Engineering Education, a Deputy Editor of the Journal for Engineering Education, an Associate Editor of the IEEE Transactions on Education, and past chair of the Educational Research and Methods Division of ASEE. She founded the Center for Research on Learning and Teaching in Engineering at U-M in 2003 and served as its Director for 12 years. Prior to joining U-M, Dr. Finelli was the Richard L. Terrell Professor of Excellence in Teaching, founding director of the Center for Excellence in Teaching and Learning, and Associate Professor of Electrical Engineering at Kettering University. Dr. Finelli’s
students, faculty, alumni,employers, industry etc. The college has been actively gathering data from various sources overthe past three years. Once this assessment data is collected, the task shifts toward accuratelyanalyzing a large mass of empirical evidence from myriad sources. During this process, trendsare noted and inferences with policy implications are made. These findings are thenincorporated back into the system as feedback so that the engineering programs in the collegemay continuously strive to improve their programs in meaningful ways. But roadblocks exist,and the purpose of this paper is to disseminate some useful strategies we learned in the “collegeof hard knocks” to our colleagues.The Neglected Importance of Power Analysis in
group, comprised by participants whose ethical reasoning and moral intuitions wereassessed at the same times as those in the experimental group, but without ethics education, toensure pre- and post-course differences resulted from the educational intervention. However,previous large-scale and long-term studies using control groups to examine ethical reasoninghave found that the effects of education are greater than those of development alone [67].Nevertheless, future studies will use control groups to better assess the effects of education onethical reasoning.ConclusionEmpirical research in engineering ethics has tended to focus on the effects of education onethical reasoning among engineering students in the US. However, it is unclear that
approaches to new technical problems, then one needs to teach engineering theory as aset of tools for solving new problems.There is also much more to engineering than being able to apply engineering theory to the solu-tion of problems and the development of new products and processes. The skills that graduatesmust have in order to be successful include the ability to communicate, the ability to work on aninterdisciplinary team, and the ability to manage projects large and small, to name just a few.EC2000 clearly indicates that programs must set their own goals as to the expected level of stu-dent achievement in these areas, and then fully document that students are gaining experiences in
, nor doesit guarantee a successful mentoring relationship (Chessler and Chessler 2002, Smith et al 2000).At institutions where there are less than ten women faculty members in the science orengineering programs, gender-specific mentoring or networking programs are not likely to be tobe practical. This is generally due to the lower number of senior female faculty when comparedto junior faculty in science, technology, engineering and math (STEM) fields (NSF 2007) as wellas the fact that women faculty allocate a higher percentage of their time to teaching and servicethan their male counterparts (Bellas and Toutkoushian 1999).This paper will discuss the preliminary findings of a meta-analysis of a number of facultymentoring programs at both large
that the students identified for additional clarity. The written responses for the student’s questions with clarifications were posted on to the Blackboard the same day or earlier. This process became good tool for the instructor to make changes to content delivery in real time. • The process definitely helped large class size compared to small class size based on a quick poll in the class. • A small survey instrument is designed to compile student feedback to this process and analysis of the survey results are provided in the assessment section for future modifications of the CAT process.Assessment Process The CAT
large research universities, graduation rates are reported through 6-yeargraduation [2]. Also, TAMU engineering students are required to graduate with a “high-impactexperience”, which includes a global program or internship [3]. Of the College of Engineeringstudents in 2018, 2019, and 2020, only 41.7%, 42.9%, and 43.3% had graduated at the 4-yearmark, respectively [4]. The College of Engineering’s curriculum is 8 credits higher than that ofmost undergraduate degree plans, which are usually 120 total program hours [5]. This equates toalmost 1 additional semester’s worth of courses. Put another way, that’s almost 3 more courses(one course is worth 3 credits) TAMU engineering students have to take. For the 2015 cohort(fig. 3), ELCIR participants
Session 2793 Developing an Outcomes Assessment Survey for Seniors, Alumni and Managers/Supervisors Robert J. Gustafson, John A. Merrill The Ohio State UniversityI. IntroductionDuring the 1998-99 Academic year the Outcomes Assessment Committee (OAC) forUndergraduate Engineering Programs at The Ohio State University developed a ProgramsOutcomes Assessment Model. In the model, collection of data from constituents (e.g. currentstudents, alumni, and employers) is important to both the Program Educational ObjectivesSystem (long-term) and the Programs Outcomes System
Society for Engineering Education, 2018Lessons Learned: A Database-supported Workflow for Mid-term Course AssessmentsAbstractThis Lessons Learned paper describes the way in which our teaching and learning officeconducts mid-term course assessments, using a variation on the Small-Group InstructionalDiagnosis (SGID) and a custom-made database system. This paper details how our workflow anddatabase are tailored for our disciplinary and institutional culture.At the University of Washington’s Office for the Advancement of Engineering Teaching &Learning (ET&L), we focus our efforts primarily on sustained, individual consultationrelationships with educators, and SGID-style formative course assessments are central to theserelationships. Our end
week of final exams. In any event, the impact of this small sample sizeunfortunately diminishes the precision of aggregate indirect measurements, particularly forSurvey 3. This lack of robustness in data should be noted by the reader as a key limitation of theindirect assessment portion of this study which will aim to be improved in future work.Demographic information was collected through Survey 1. 50% of students identified as maleand 50% female. Race demographics were 66% White, 17% Black/African American, and 17%Asian/Asian American. When asked about their prior experience in chemical and orbiomolecular engineering, 50% had no experience, 16% had taken 1-3 courses, 16% had takenmore than 3 courses, and 16% (one respondent) had received a
something cool.” Figure 8- Word cloud of students’ response to what they liked about the hands on activityReferencesCampbell, S.W., Bhethanabotla, V.R., Thomas,S.W., (2019) “RET in Functional Materials and Manufacturing”, ASEE Annu. Conf. Expo. Conf. Proc.,Cardella, M.E., Knight,D.B., Lee, W.C., Reid,K.W., Hynes,M.M., G.D. Collins, Beauchamp, Dandridge, T., Colquitt, D., (2019). “Promoting the Participation of Elementary School African Americans, Hispanics, and Girls in STEM by Expanding Summer Engineering Experiences” ASEE Annu. Conf. Expo. Conf. Proc.,Drummond, M., Cardella,M.E., Sydlik, M., Everett, M., (2019). “Developing Summer Research Programs at an NSF ERC: Activities, Assessment, and Adaptation”, ASEE Annu. Conf. Expo
as short a time frame as possible and entering professional practice quickly,largely due to the high cost of education. Furthermore, an advanced degree frequently provides aquicker path to leadership positions within a company.In recent years, the Council of Graduate Schools began promoting the development ofProfessional Science Master’s (PSM) degrees, an innovative graduate degree designed to providestudents with advanced mathematical and technological knowledge, while developing practicalskills valued by industry.4 The significant growth of such programs nationwide indicates theiracceptance by institutions of higher education as an integral part of graduate studies and supportsthe need for graduates of such programs. In recognition of this
current until approximately 1980.Changes in industry since that time period have been dramatic and have included: new industries, a significanteconomic shift from large to smaller companies, implementation of the product team approach, and an acceptance ofcontinuous quality control in the workplace. The collection of engineering education institutions that compriseABET have discovered that the methods used for development in the past are no longer adequate. ABET 2000criteria have been developed to provide guidelines that will help programs determine that their graduates meetcurrent industrial and societal needs.The ABET 2000 criteria shift the evaluation from a focus on curriculum content to assessment of institutional goalsand student outcomes
anenrollment of 138 students . This course does not contain significant cybersecurity content, and itis not a course for which we expect to regularly use the survey. It was selected because it has afairly large enrollment and because it would provide data from students who are not likely to havemuch experience with cybersecurity topics (thus providing a baseline from students within thegeneral CS population). This approach provides a broader view of student interest andself-efficacy in relation to cybersecurity within our program. Additionally, surveying this courseallows us to measure how building general knowledge of computer science affects student interestand self-efficacy in areas students are not directly studying. This is a required course for
Paper ID #49105An Assessment of ChatGPT 4o’s Performance on Mechanical EngineeringConcept InventoriesDr. Rujun Gao, Texas A&M University Dr. Rujun Gao has completed her Ph.D. in Mechanical Engineering at Texas A&M University and holds an M.S. in Mechanical Engineering from Zhejiang University, China. Her research focuses on Generative AI, Natural Language Processing (NLP), Large Language Models (LLMs), LLM Agents, and the development of educational technology products.Hillary E. Merzdorf, Cornell University STEM Instructional Design Associate, eCornell, Cornell UniversityXiaosu Guo, University of Texas at
example, finite element theory and application has often been included in graduate-levelcourses in engineering programs; however, current industry needs bachelor’s-level engineeringgraduates with skills in applying this essential analysis and design technique. Engineeringeducation is also changing to include more active learning. In response to the need to introduceundergrads to the finite element method as well as the need for engineering curricula to includemore active learning, we have developed, implemented and assessed a suite of Active LearningModule (ALMs).The ALMs are designed to improve student learning of difficult engineeringconcepts while students gain essential knowledge of finite element analysis. We have used theKolb Learning Cycle
to develop an educational technique to improve student learning of key concepts in statics and particle dynamics.Dr. Matilda (Tillie) Wilson McVay, Texas A&M University, Department of Mechanical Engineering Undergraduate Program Director, Mechanical Engineering Department: January, 2017 - present Associate Professor of Instruction, Texas A&M University from 2001 - present (2017) Doctoral Degree, Aerospace Engineering Texas A&M University, 1996 Employed by Exxon Company U.S.A. from 1982 – 1986 Mas- ter of Science, Petroleum Engineering Texas A&M University, 1982 Bachelor of Science, Petroleum Engineering Colorado School of Mines, 1981 Tillie McVay has taught engineering courses for 16 years, and
get stressed in strictly timedtesting environments and overthink small mistakes or gaps in my understanding, leading me todo much worse overall that what I think my learning comprehension is at. Having the take homequizzes was much more enjoyable and accurate representation of my knowledge from class.”In regards to logistics, a couple of students noted that because the two-part exam is not acommon assessment format, they encountered difficulty in successfully preparing for andexecuting the exam, especially the THE portion: “I'm definitely more use to the ‘traditional’exams so that is what I'm more comfortable but because of this other exam style it made mystudying method different which hurt me academically for a little but I think it helped
of x \n"; } // end of main Page 4.100.5 Explain why the output of this program is x +/- 100000000002 is NOT equal the initial value of x In an introductory calculus class, exam questions can also be used to assess the degree to whicha student has integrated the basic concepts into their understanding. For example, the studentmight be asked to construct an argument justifying whether d [ cos x] / dx = a) sin x or b) - sin x,a commonly confused recall issue. This question requires that the student understandfundamentally that the derivative is the slope of the
that the distribution of rubric scores is different for each category.FIGURE 3: Summary of analysis of student laboratory reports using the problem solving rubric.From analysis of classroom implementation and discussions with implementers, the generaltypes of classroom questions, prompts and activities that lent themselves to the assessment ofprocess skills became evident. These experiences allowed us to strategize implementationtechniques for large and small classes, and to discuss ways in which instructors could deliverrubric feedback to their students for maximum effectiveness. It was also evident that classroomvideos of student interactions are crucial for validating rubrics, training new users, and providingonline resources in support of
artifacts.Due to the smaller sample size of participants afforded in this research – participation of studentsin co-curriculars is a limiting factor – we employed a quasi-experimental design. A control groupwould serve as a measure of no treatment nor exposure to new practices – just business as usual.Our assumption is that a pre-PT problem solving discussion assessment serves the same purposeas a post-assessment of a control group. That is, the students in the program are sophomore, junior,and senior undergraduates, who already bring to the study an established approach to ill-structuredproblems that has been developed over their academic careers thus far. We therefore treat the pre-PT problem solving discussion data as the control group baseline for
event), but how do we translate that to agroup of students in which performances vary? Do we still consider a course outcome successfulif a subset of students fail to achieve it (and if so, failure of how large of a subset is acceptable?)The simplest approach to assembling quantitative data into some sort of a “group indicatormetric” is to use the arithmetic mean of student grades from a particular graded event (or set ofgraded events) to assess an outcome. For example, a program could declare that a mean ofgreater than 80% on a graded event indicates that the group has met or exceeded the standard forthe course outcome which it supports. However, such an approach assumes a reasonably normaldistribution of student grades, and thus may not be
outcomes, it is possiblefor divergences to arise in comparison with manual assessment. The largest class with 14students identified one such divergence. This also suggests that it may be desirable to the extentpossible to design indicators that don’t attempt to measure large numbers of outcomes. This isanalogous to using a single grade to assess outcomes.An observation is that the Exams, which also measured multiple outcomes, did not show anydivergences. This may be due to a small sample size. CS409 did not have a final exam. Notably,ACAT can also use Moodle Outcomes directly because they appear as gradebook entries.Moodle has a roadmap to allow outcomes to be assigned to individual Quiz questions. When thisfeature is implemented, it will be
Bucknell University with certification in school psychology. He received his B.A. in psychology in 2010 from Lycoming College. His interests are in the areas of learn- ing, assessment, and cognition. His research interests lie in the areas of self-regulation, metacognition, executive function, and problem solving.Ms. Jessica Menold Jessica Menold is a doctoral student in mechanical engineering at the Pennsylvania State University. As an undergraduate at Penn State she was heavily involved with a STEM outreach program called the engineering ambassadors. She currently works as a graduate mentor for entrepreneurial student groups on campus as a part of Penn State’s Lion Launch Pad team. Her interests in entrepreneurs, as
who study engineering at the UW have access to a comprehensive set ofacademic and retention programs. Each of the programs are evaluated to measure theeffectiveness in increasing the retention of students. Although specific gains in retention havebeen realized, no measure of the overall climate for male and female students had been made.31Consequently in 1993, a climate survey was designed and administered in the College ofEngineering to assess the quality of engineering education as perceived by male and femalestudents. The survey was designed by Brainard, director of Women in Engineering and affiliatefaculty in Women Studies, and Gillmore, director of the Office of Educational Assessment andwas administered in 1993, 1994, 1995 and
24.212.3 c American Society for Engineering Education, 2014 Assessment of Finite Element Active Learning Modules: An Update in Research Findings AbstractThe landscape of contemporary engineering education is ever changing, adapting and evolving.As an example, finite element theory and application has often been included in graduate-levelcourses in engineering programs; however, current industry needs bachelor’s-level engineeringgraduates with skills in applying this essential analysis and design technique. Engineeringeducation is also changing to include more active learning. In response to the need to introduceundergrads to the finite element method as well as the need for
productivity and overall effectiveness. This section of the assessment emphasizesStatistical Process Control (SPC). SPC is an optimization philosophy concerned with continuousprocess improvements, using a collection of statistical tools for data and process analysis [10].Scheduling & Production Control: Scheduling & production control systems often create manyproblems. They sometimes reflect the problems created by other policies and decisions made bymanagement. The best production control & scheduling systems for Lean Manufacturing aresimple and give very fast response to changes in demand. Examples include Kanban andBroadcast scheduling. In Kanban scheduling, a small stock of every part sits in a dedicatedlocation with a fixed space
productivity and overall effectiveness. This section of the assessment emphasizesStatistical Process Control (SPC). SPC is an optimization philosophy concerned with continuousprocess improvements, using a collection of statistical tools for data and process analysis [10].Scheduling & Production Control: Scheduling & production control systems often create manyproblems. They sometimes reflect the problems created by other policies and decisions made bymanagement. The best production control & scheduling systems for Lean Manufacturing aresimple and give very fast response to changes in demand. Examples include Kanban andBroadcast scheduling. In Kanban scheduling, a small stock of every part sits in a dedicatedlocation with a fixed space