graduation rates to assess the effectiveness of highereducation institutions [16, 17], it becomes imperative to grasp the factors influencing collegepersistence. This understanding forms a critical foundation for shaping policies and developingprograms aimed at enhancing college graduation rates [18].Research on persistence in Engineering EducationVarious pre-college characteristics tied to persistence in engineering often revolve around robustperformance in mathematics, particularly on standardized test scores. An analysis ofundergraduate engineering students’ survival rates [19] revealed a significant correlationbetween higher SAT mathematics scores and persistence in engineering. SAT math score andhigh school GPA seem to be common predictors of
Tech.Jan DeWaters, Clarkson University Dr. Jan DeWaters is an Associate Professor in the Institute for STEM Education with a joint appointment in the School of Engineering at Clarkson University, and teaches classes in both areas. Her research focuses on developing and assessing effective, inclusive teaching and learning in a variety of settings. An environmental engineer by training, Dr. DeWaters’ work typically integrates environmental topics such as energy and climate into STEM settings.Lucas Adams, Clarkson University Current Senior at Clarkson University in Potsdam, NY majoring in Applied Mathematics and Statistics ©American Society for Engineering Education, 2024
] and some well-intentioned trainingsexacerbating the problem of bias [16]. In turn, many campuses moved to embracing student-centered pedagogies. Tools and resources, such as the “Advancing Inclusion and Anti-Racism inthe College Classroom: A rubric and resource guide for instructors” [17] and “Toward anantiracist engineering classroom for 2020 and beyond: A starter kit,” [18] were developed to helpfaculty reflect on their identity and positionality, consider their students’ lived experiences, andmove toward anti-racist pedagogy, assessments, and inclusive teaching practices.Within our department, there was a strong desire to make lasting changes to the culture andcurriculum. These efforts were driven by our graduate students with support from
assessed using assignments andreflective writing. Results after three successive years of offering this course show that a tailoredprofessional development course helps students better understand their academic pathways,better understand career options, utilize opportunities for professional growth, develop effectivepeer cohorts, and express more satisfaction with their experiences as graduate students.IntroductionChallenges faced by first year graduate students and the support provided to them play asignificant role in their academic success [1], [2]. Professional development training forgraduate students that complements their development of expertise and disciplinary knowledgeleads to better future career success [3]. Professional development
measure of student learning, this presentwork uses exam grades and the final course grade to assess student performance. In addition,survey data were collected for the treatment group at the beginning and end of the semester toassess what if any changes in attitudes and perceptions took place over the semester. The surveyadministered at the end of the semester contained the same questions as the initial survey as wellas additional free-response questions. The responses to those free-response questions providesome insight into student attitudes regarding writing and their perception of its place inengineering education.Characteristics of the control group For the control group, 10% of the final course grade came from participation, which
in this study were international students in traditional engineering disciplines, andsome of the assumptions that he brought into the research process could have led to blind spotsabout the experiences of the students. He initially presented questions about dissertation topicselection based on his own experiences with graduate school, without recognizing the vastlydifferent expectations for dissertation research across engineering disciplines. While the researchteam was not initially involved with the ERC, Ronnie and Alex collaborated with the EWD andDCI teams at the Center. Students were made aware of this and may have felt as though theywere being assessed or needed to provide the “right answer.”Alexander Struck Jannini (Alex) is a White
viaanonymous end-of-semester reviews. Furthermore, the engineering forensic investigation activitysupports ABET Student Outcomes 1 (an ability to identify, formulate, and solve complexengineering problems), 3 (an ability to communicate effectively), 4 (an ability to recognizeethical and professional responsibilities in engineering situations), 5 (an ability to functioneffectively on a team), 6 (an ability to develop and conduct appropriate experimentation, analyzeand interpret data, and use engineering judgment to draw conclusions) and 7 (ability to acquirenew knowledge). These outcomes are assessed via a pre- and post-activity assessment.1. IntroductionMechanical engineering classes typically cover a wide range of topics, and it is important
, and they also can beused to assess students’ understanding of complex ideas (e.g., [26], [27]). Concept maps havebeen used as educational tools in civil engineering (e.g., [28], [29]), including with first-yearstudents (e.g., [30], [31], [32]) and related to sustainability (e.g. [33], [34], [35], [36]). Researchhas found that more simplistic knowledge tends to result in spoke structures, while greaterexpertise tends to result in network and web formats that include more concepts and greaternumbers of connections among the ideas [37]. Concept maps also can reveal attributes that arecommon and missing from students’ knowledge.Concept maps were chosen as a method for this study for several reasons. First, as noted above,the three courses are
Bioelectromagnetics and engineering education. She has served as research mentor to postdoctoral fellows and many graduate students.Dr. Ann-Marie Vollstedt, University of Nevada, Reno Ann-Marie Vollstedt is a teaching associate professor for the College of Engineering at the University of Nevada, Reno (UNR). Dr. Vollstedt completed her dissertation at UNR, which focused on exploring the use of statistical process control methods to assess course changes in order to increase student learning in engineering. Dr. Vollstedt teaches courses in engineering design as well as statics and runs the Engineering Freshmen Intensive Training Program. She is the recipient of the Paul and Judy Bible Teaching Excellence Award, F. Donald Tibbitt’s
focused on closing the education opportunity gap by inspiring lifelong learning through student-mentor relationships. Dr. Harrison Oonge is an assistant dean for academic planning in the College of Undergraduate Studies, at the University of Central Florida. Harrison oversees the Pegasus Path (an undergraduate academic degree planning tool), curriculum alignment initiative, articulation agreements and chairs the University Assessment Committee. Harrison’s research interests include curriculum alignment, transfer students ©American Society for Engineering Education, 2024 Paper ID #41670 academic
other accountable, anduncovered the opportunities and barriers within their unique data context. The process involvedframing of the BPC goals of state-level change efforts, assessing current data systems for pointsof vulnerability and opportunity, data gathering, data visualization, data utilization, and analysis.The four phases are as follows:Phase I: OnboardingECEP state teams begin learning about the CMP opportunity. State teams begin to form a teamof 3–5 leaders who focus on common metrics work. Members who are adept in the areas of datagathering, data analysis, data reporting, and data utilization are ideal. This phase accounts for 3months of the year-long project. This allows ample time for team development and completion ofan initiation
] that were asked in the initial research. If the research participant passively identified a rhetorical infrastructure as part of a critical incident this was also flagged as an infrastructural “hotspot.” These hotspot moments revealed which infrastructural aspects in the taxonomy were having the most severe impact on the population in question, which would indicate which infrastructural aspects, if addressed, might provide the most relief. 3. Finally, the transcripts were coded a third time, and the coded chunks that were identified as moments of infrastructural breakdown were given a subjective score by the researchers to assess the malleability of the issue causing the breakdown. Each moment
theengineering education literature about what theory means and how it is best applied inengineering education [3].Dunlosky et al. described and evaluated ten effective learning techniques based on cognitivepsychology including retrieval practice, spaced (distributed) practice, and interleaving, yet noneapplied specifically to engineering courses [5]. These three evidence-based teaching practiceswere incorporated into a hydraulics engineering course to improve student learning andevaluated for their effectiveness. This paper describes the teaching practices, the application ofthem into an engineering course, and the assessment of their effectiveness.Background: three evidence-based teaching practicesRetrieval practiceMore than one hundred years of
-learning systems [21]. To assess students’learning styles, this study used the Visual, Aural, Read/Write, or Kinesthetic (VARK) learningstyles inventory which is a questionnaire consists of 16 items used to assess the respondent’slearning style [21]. The study also used the Dixion scale to measure students’ engagement usingthe adaptive or non-adaptive e-learning system; this scale includes the factors of skills,participation/interaction, performance, and emotion [21]. This study found that students wholearned through the adaptive system learned more, reflected by their engagement scale responsesand overall course outcomes. While this study does not model the relationship between students’learning styles and intentions to use, has a small sample
ofstress, strain, and the factor of safety. General geometry and dimensions of the testing apparatusare provided to the students along with experimental properties of Nylon 6/6, from which thelinkages are laser cut. Student groups are expected to produce a CAD file of their design alongwith a detailed memo documenting their analysis and design process. In this paper, we willpresent technical details about the project along with the different approaches each instructortakes in presenting, conducting, and assessing the project in their class. We will also discuss thechallenges faced by the instructors and students and present detailed student and instructorfeedback on the effectiveness of this design project in enhancing student
. Honesty 6. Prudence 7. CourageEach of the virtues and virtue pairs listed above were identified as significant to the conceptionof an ethical/good engineer [13], [19], [20]. Virtue Points were calculated based on reflectivesurvey questions throughout the course, where student responses to multiple choice questionswere attributed specific points that contributed to their Virtue Point totals, as well as throughpeer review and assignments. Questions were phrased to assess student alignment with specificvirtues given a short case study or position. For example, students were asked whether they feelstrongest alignment with “It’s wrong to use people”, “I appreciate when others correct me”, “It isimportant to me to be open and honest about my
ormeasuring the impact in makerspace curriculum [16]. To address this gap, the University ofTexas, Arlington assembled an ad-hoc taskforce from various universities to develop a nationalstandard of maker-based competencies to enhance student learning outcomes to impactundergraduate students [17]. Among the taskforce was the University of Nevada, Reno. In 2017and 2019, the group received two National Leadership grants from the Institute of Museum andLibrary Services (IMLS).To form their framework, the grant team used the competencies-based education model, whichincludes the assessment of learning outcomes and learning that is personalized, measurable, andtransferable [16]. Ten maker competencies were developed, addressing various transferable
various sectors including self-assessment and self-evaluation of educational outcomes, balancingfaculty incentive systems, improving teaching methods and practices, reforming of curriculum and expandingbeneficial interactions and outreaches. Successful college engineering education also relies on the goodintroductory engineering education in elementary, middle, and high schools to prepare students for the rigors ofstudying engineering in college (Iversen, et. al., 2007). It is our goal that changes made in these educationalsectors will eventually lead to shape our engineering students with the desired characteristics. Students withcharacteristics prone to engineering are likely to choose engineering as their college major, tend to have
InstrumentIn ME450, a survey instrument identical to that used previously was used again in this iterationof the design project. The survey was adapted from the validated Student Assessment of their Page 22.42.5Learning Gains (SALG) instrument.12 The survey allowed the students to self-report on theaspects of the class that most impacted their learning, as well as on how they viewed theintegration between theoretical modeling and experimental design. Students were asked to use alikert scale to respond to the degree to which various aspects of the class affected theirconceptual understanding, application of concepts, and physical understanding of heat
_________________________ ________________ e. Q _________________________ ________________ f. h _________________________ ________________ g. v mP _________________________ ________________ h. q _________________________ ________________ B. The letter vee (upper and lower case) is used to represent several quantities in this course. List these quantities and indicate which vee is used for each. Page 22.219.10 Figure 3. Quiz to assess students
effective learning principles and practices. There are fourdesign principles for learning environments presented in the report (HPL principles): 1. Learning environments should be knowledge centered; the core knowledge and skills of the domain should inform the design of the learning materials. 2. Learning environments should be learner centered or designed with students’ current level of prior knowledge in mind. 3. Learning environments should be assessment centered. These assessments should include formative components that give students and teachers information about performance during the learning process in addition to the more traditional summative components that occur at the end of a topical unit. 4
participation in the study was voluntary, and all participating students were asked to signan informed consent letter. The students were not exposed to any risks or reprisals for refusal toparticipate in the study. The participation rate was high, with 119 students (93%) filling out theFelder-Soloman Index of Learning Styles, and 95 students (74%) completing an exit survey. A41-item exit survey, designed to assess students' attitudes towards hypermedia instruction, usedthe four-point Likert scale and contained positive as well as negative statements (reversal items).Subsequent survey analysis showed strong internal consistency of the scales, with Cronbach alphaof 0.86. Course grades of students participating in the study were entered into a database
Instructional Technology Research & Development Division of Science and Mathematics Education College of Natural Science Michigan State UniversityClaudia E. 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- Page 22.1148.1
in Special Education with emphasis in gifted and talented education.Megan Yoder, Colorado School of MinesBarbara M. Moskal, Colorado School of Mines Barbara Moskal received her Ed.D. in Mathematics Education from the University of Pittsburgh. She is a Professor of Mathematical and Computer Sciences, the Interim Director of the Trefny Institute for Educational Innovation, and the Director of the Center for Assessment in STEM at the Colorado School of Mines and an Associate Editor for the Journal of Engineering Education. Her research interests are educational project assessment and evaluation, K-12 Outreach and gender equity in STEM.Michael Hacker, Hofstra University Michael Hacker is Co-director of the Center for
justifications were measured only that they were the impressions of themanagers surveyed. It was pointed out “that the integration of training management and coursecontent delivery systems provided a means for easier assessment of training effectiveness”. 37This evaluation process is an integral part of these training programs.As suggested by Piccoli, Ahmad, and Ives (2001) virtual learning environments (VLE) can beused for IT technology skills training. This preliminary research suggests that these VLEs canprovide organizations an “effective means to update the IT skills of their work force”.38 VirtualLabs (VL) have become more prevalent in current research. The Rochester Institute ofTechnology39 and Drexel University40 have created essentially Virtual
question 3b on the free response saw only a3% decrease in performance, which is negligible. For question 2 on the I.I. and question 5 on themultiple-choice P.C.I., the disparity in performance is to be expected, as performances wereworse on DREAM Day as well, as explained in the Assessment and Discussion section. Thus,performance on the whole was better on the retention inventory than on the initial inventory,which suggests that DREAM is successful in helping the mentees retain the material.Now the performance on the retention inventory will be compared to the performance on theDREAM Day inventory. The performance in this area is rather mixed. The same percentage ofcorrect answers was observed on question 1 of the I.I. Interestingly, the
Engineering 2007 existing test and Projects Education data questionnaires7 Student Perceptions of Engineering Journal of July national student Entrepreneurship: An Exploratory Engineering 2006 survey justification Study Education8 Developing and Assessing Students' Journal of April existing focus groups Entrepreneurial Skills and Mind-Set Engineering 2005 national Education instruments9 The Impact of
focused on microbial systems for the degradation of target compounds. Her work has evolved to using a risk assessment framework to link contaminant concentrations with human exposures for predicting the potential for adverse health effects and identifying strategies to mitigate impacts. She has long promoted engineering awareness in the public education systems and hosts a STEM high school teacher program each summer.Dr. Cheryl A Page, Texas A&M University Cheryl Page is a Research Engineer in the Department of Civil Engineering at Texas A&M University. She has academic degrees in secondary education and civil engineering, with experience as a secondary mathematics teacher as well as an environmental
. Gorlewicz received her BS in mechanical engineering from Southern Illinois University Ed- wardsville (Edwardsville, IL) in 2008, before pursuing her PhD in mechanical engineering at Vanderbilt University, where she worked in the Medical and Electromechanical Design (MED) Laboratory. At Van- derbilt, she was a National Science Foundation Fellow and a Vanderbilt Educational Research fellow. Jenna then returned to her alma mater, SIUE, as a faculty member in the Mechanical and Industrial Engi- neering Department in Fall 2013. Her research interests are in the design and assessment of haptic devices, human-machine interfaces, and robotic systems, with applications in both education and medicine.Dr. Geoffrey L Herman, University
abstractconcepts presented to them. Exams and homework assignments are among the standard toolsused to assess students’ performance and comprehension of course material. Student ability isdetermined by the quality of the written answers and by how well they document the processused to solve a problem. However, they provide only limited opportunities to reveal the viewingstrategies used that may give additional insight into how students initially approach the givenproblem.In the present study, we use a within-subject experimental design to investigate the relationshipbetween spatial visualization abilities of students and how students solve specific problems in thearea of mechanics of materials. We employ a non-invasive eye-tracker (Tobii X-60) to