class sizes were typically smaller for this group, these relationshipsheld when we separated our data and compared class sections of similar size. We show a mildtrend that larger class sizes correlate with lower GPAs and higher DFW ratesWe suggest that NTT faculty can have a positive effect on student education, provided thosefaculty are well supported by their institution.BackgroundOver the past several decades, faculty demographics at US institutions have shifted from amajority of faculty being in the tenure system in the 1970s to only 27% in 2016 [1]. At R1institutions, approximately 30% of instructional faculty are in the tenure system, while 27% arefull-time non-tenure-track (NTT) and 14% part-time. Two-year colleges and community
professional societies to supplement his teaching and research, including ASCE, ACI, ASEE, ASC, ATMAE, and TRB. His research output has been well disseminated as he has published thirty journal papers and thirty-nine conference papers. His research interests are 1) Creating Innovative Sustainable Materials, 2) Digital Construction, 3) BIM and VDC, 4) Virtual Testing Lab, 5) Construction Education, and 6) Sustainability.Robert John Agnew (Associate Professor) © American Society for Engineering Education, 2022 Powered by www.slayte.com Student Post-Pandemic Perceptions of Supplemental Instructional VideosAbstractWith the structural shift in education due to the
) are all conceptually significant,providing students the opportunity to carefully reason through the questions. The range correctfrom the eight questions (31% - 58.6%) indicates these questions are conceptually challengingfor students. Thus, the associated written explanations are good candidates for machine learninganalysis to reveal student reasoning.Qualitative analysisFor the preliminary analysis reported here, one question, CW5703 - shown in Figure 1, was usedfor initial manual coding and machine learning coding. Using a combination of a priori andemergent approaches described in Creswell & Poth (2018), a coding scheme was developed toclassify elements of student explanations and provide categories to train the machine
,” and “Product Commercialization.” The third project is justbeginning and aims to further expose undergraduates to research and reinforce the importanceresearch in student formation. It is entitled “An EM-Driven Framework for UndergraduateResearch” and involves six institutions from across the KEEN network. The areas beingdeveloped are Early Exposure, Student Research Training, Faculty & Mentor Training, andAssessment. This project is just starting and will be ongoing for three years.IntroductionThe concept of research is not new. Some people describe the concept of research as old asscience itself, however, the concept of the close relationship between research and subsequentdevelopment was not generally recognized until the 1950s [1
assessments must be carefully integrated in course design and reveal the need for alarge scope of practice questions to enhance student learning.IntroductionAdaptive learning (AL) is a personalized learning approach that dynamically adjusts content,assessment, and feedback based on algorithms that monitor student progress, pace, orperformance. Learning analytics from AL systems enable instructors to adapt instruction basedon student needs and can identify at-risk students to provide interventions [1], [2]. ALcourseware provides students increased control and engagement, real-time feedback to developconfidence and improve grades, while increasing degree completion [3]–[5]. Notably, there isstrong potential that AL can disproportionately benefit
to as cheating, have beenshown to be alarmingly prevalent in United States institutions. A review of multiple studiesshowed the mean prevalence of cheating overall to be on the order of 70%, while only 40% forcheating on examinations [1]. One study [2] that focused specifically on engineering students,found that upwards of 96% of the students reported having performed at least one of 17 discreteacts that would be considered cheating by a majority of students and faculty.Although one recent study [3] found that, of the numerous motivations to cheat, “availability”did not appear to strongly influence student behavior, in an online environment where studentshave unfettered access to online resources, “availability” would be expected to be a
, derives and simplifies equations, andshows how to use them to answer questions about a particular process or system. The learningoutcomes of the course then center around the learner being able to formulate and solveequations to answer a variety of questions about systems or processes to which the theoryapplies. The context of this study is an upper-division chemical engineering course on kineticsand reaction engineering at a large university in the northeastern U.S. This course is aprototypical engineering problem-solving course.Achievement goal theory [1-5] is being used to frame this study. Very briefly, achievement goaltheory posits that students perceive a goal structure based upon the course environment, that thegoal structure they perceive
: Embedding process safety modules within core CHE coursesIntroductionThe chemical engineering world has been grappling with process safety concerns and industrialaccidents for as long as many of us can remember. Many horrific events have spurred progressin process safety education in the Chemical Engineering field. While the Safety and Healthdivision of the American Institute of Chemical Engineering (AICHE) was chartered in 1976 [1],the Center for Chemical Process Safety was formed as a response to what is considered theworld's worst industrial accident, the release of methyl isocyanate gas at the Union Carbide inBhopal India where approximately 3,800 people were killed [2]. Furthermore, it wasn’t until2007, after
processes, as well as facilitating prototyping andpilot manufacturing of new products. Multiple industry-sponsored projects in Construction,Mechanical, Mechatronics, and Electrical areas have been completed. On the entrepreneurialside, a few new products were developed and provisional patent applications were filed.This paper describes, 1) the motivation and process needed to establish the Center forInnovation and Design, 2) facility, equipment and tools, 3) applied research projects conducted,and 4) outcome from these projects.Literature ReviewThe common goals of any innovation center, maker space, or design center are to promotecreativity, innovation, and entrepreneurship. Goals can also include creating new businessesand jobs for economic
, Design & Society Department at the Colorado School of Mines and Director of the Humanitarian Engineering and Science graduate program. She is an anthropologist with two major research areas: 1) the sociocultural dynamics of extractive and energy industries, with a focus on corporate social responsibility, social justice, labor, and gender and 2) engineering education, with a focus on socioeconomic class and social responsibility. She is the author of Extracting Accountability: Engineers and Corporate Social Responsibility (MIT Press, 2021) and Mining Coal and Undermining Gender: Rhythms of Work and Family in the American West (Rutgers University Press, 2014), which were funded by the National Science Foundation, the
inform potential adjustments in the earlier curriculum. Additional support in CapstoneDesign may also be developed based on these results.A sample of 26 reports from a Capstone 1 class conducted in Summer 2021 were rated using acustomized version of the VALUE rubric for Information Literacy (IL). Results show thatstudents were most proficient in paraphrasing from sources, selecting high quality sources,choosing a variety of information sources, and citing sources accurately. They struggled morewith higher order, more contextually dependent skills like determining the extent of informationneeded and synthesizing information from multiple sources to achieve a specific purpose, such asjustifying a course of action. Additionally, project type was
critical for the developmentof STEM interest, from a child’s early years [1]–[3], to their secondary education [4]–[9].Engagement with informal learning environments supports students’ interest to pursue a STEMdegree [10], [11] and can also enrich learning in formal environments [12]. Students in grades K-12 spent only 18.5% of their time in formal learning environments (i.e., classrooms), while themajority of their time is spend in informal learning environments [13]. Thus, out-of-schoolexperiences offer students’ an opportunity to foster interest in STEM-related activities and sustaintheir interest over time [14]–[16]. Prior work has found that interest and engaging in out-of-schoolactivities in middle school has a significant long-term effect
positive effects can be found.Therefore, we conducted a systematic literature review to elucidate, how in the U.S., (1) hasmastery learning been implemented in undergraduate engineering courses from 1990 to 2021 and(2) the student outcomes that have been reported for these implementations. Using the systematicprocess outlined by Borrego et al. (2014), we surveyed seven databases and a total of 584 articlesconsisting of engineering and non-engineering courses were identified. We focused our review onstudies that were centered on applying the mastery learning pedagogical method in undergraduateengineering courses. All peer-reviewed and practitioner articles and conference proceedings thatwere within our scope were included in the synthetization
-progress, we share some preliminary findings that emerged from the four interview themes: 1)Why Engineering? (student motivations for studying engineering), 2) What is Engineering? 3)Who are Engineers?, and 4) What Engineers Do. The students had burgeoning conceptions ofengineering/engineers with traces of sociotechnical perspectives. These preliminary findingsreiterate that students will not simply ‘get’ sociotechnical engineering after a single courseexperience. If we want students to truly integrate these concepts into their own conceptions aboutengineers/engineering, we must do the same as an engineering education collective and integratethem fully into the entirety of their engineering education experiences.IntroductionThe University of San
in the impact that these tools can have on student perception of the classroom environment, motivation, and learning outcomes.Melissa Montalbo-lomboy (Lecturer) © American Society for Engineering Education, 2022 Powered by www.slayte.com Measuring Students’ Interdisciplinary Competence and Entrepreneurial Mindset based upon Exposure to a Holocaust NarrativeIntroductionThe responsibilities of engineers are constantly evolving to meet the demands of anever-changing world. Today, industries are looking for engineers who possess skills outside ofengineering, such as strong communication and interdisciplinary team-working skills [1]. As theresponsibilities of
were higher than previous onlinesemesters but still below previous face-to-face semesters.IntroductionBecause of covid, many engineering classes have been forced to be online since the middle ofspring of 2020 and have struggled to engage students and uphold academic standards [1]. Thethermodynamics class was to be offered online during the summer of 2021, and a more effectiveformat for the class was sought. Flipping a thermodynamics class allows more time fordiscussion and problem solving and most students indicate this builds their confidence in thecourse [2]. Pre-covid studies show that online courses should include some face-to-face or atleast some synchronous meetings to provide in-depth explanations and clarifications of difficultconcepts
www.slayte.com Engineering Stress Culture in Project-based Engineering ProgramsAbstractBackground: This research paper examines engineering stress culture in the context ofproject-based learning engineering programs at the university level. Multiple authors havereported that the culture of engineering and engineering education can be stressful and exclusive.A study conducted by Jensen and Cross [1] found that measures of inclusion such as ”DepartmentCaring” and ”Department Pride” were negatively correlated with stress, anxiety, and depression.We used the approach developed by Jensen and Cross to examine stress culture in the context ofthree project-based learning engineering programs.Purpose: Our goal was to
the performance of students in anindividualized setting compared to a large classroom environment. Early modifications to thetraditional learning environment focused on teaching methodologies, moving from the morepassive traditional lecture to more active learning styles. This includes inductive learningtechniques (Felder [6], and Prince & Felder [16]), moving to more student-centeredenvironments (Baeten et.al. [1], O’Mahony et.al. [15], Schmidt et.al. [18], Yadav et.al. [23],Freeman et.al. [8], Hunsu et.al. [11], and Boylan-Ashraf et.al. [4]), and particularlyflipped/blended/hybrid classrooms (Mason et.al. [12], Clark et.al. [5]), among others. Theamalgamation of these studies considered both direct assessment methods and performance
, partnered with awheeled Pelican case and 250 grams of filament. A LibGuide provided instructionalmaterials. These circulating printers empowered students to explore 3D printing andtroubleshooting outside the library, in their own space and timeframe. Taking studentengagement to the next level, the librarians also developed and taught a 1-credit honorscourse where students worked in groups to build 3D printers. The course facilitated adeeper understanding of 3D technology through assembling 3D printers from kits,thereby teaching students the basic mechanics of 3D technology and use of tools. Thecourse had a small cohort of twelve students, split into four teams of three, who builtiMade3D Jellybox kits in a weekly class held within the engineering
foundationalengineering courses can be challenging. This is especially true for summative assessment whichis commonly conducted with a cumulative final exam at the end of the semester. Foundationalcourses often have large numbers of students across multiple sections, and grades for final examsusually need to be returned quickly. It is challenging to create comprehensive exams thatappropriately test students’ understanding of the material and which can be graded within 1 – 2days. One approach is the use of machine-graded multiple-choice exams that are common to allstudents in every section of the course.However, these exams suffer from issues of their own. In particular, multiple-choice exams donot differentiate between a student who was not even able to start a
electric cars.© American Society for Engineering Education, 2022 Powered by www.slayte.comBringing differential equations to life by two- and three-dimensionalvisualizations of numerically simulated dynamic systemsGünter Bischof 1, Christian J. Steinmann 1, 2, Thomas Kainz 1, Eric C. Menard 1,Robert Poetsch 1, Maximilian Sterkl 1, and Christoph Tröster 11 Joanneum University of Applied Sciences, Institute of Automotive Engineering, Graz, Austria2 HM&S IT Consulting, Graz, AustriaAbstract – The use of technology in the teaching and learning of mathematics is becomingincreasingly more prevalent in mathematics education. It affects not only how to teachmathematics, but also what mathematics becomes possible to be taught
classes have been found to be relatively successful when compared to the traditionallecture modality. Recent meta-analyses (Talbert, 2018, Lag and Sale, 2019) based on researcharticles in eight electronic reference databases show an average effect size 1 of d=0.24 forcognitive learning in favor of flipped classes over traditional ones. The average effect size onstudent satisfaction was lower at d=0.16. A metastudy of 63 papers for K-12 students from 2021by Shao and Liu shows an average effect size of d=0.63, finding better results for classes smallerthan 120 students and humanities courses. Also, a meta-study by Birgili et al. (2021) showssimilar increases in student performance and affective outcomes of engineering students.Flipped classrooms do
online education. He also hosts the In The (Fume) Hood chemical engineering education podcast. © American Society for Engineering Education, 2022 Powered by www.slayte.com Exploring Engineering Students’ Decision Making Priorities in a Digital Plant EnvironmentIntroductionChemical process leaders recommend teaching process safety through case studies and hazardanalysis [1]. While process safety textbooks and curriculum tools from the Safety and ChemicalEngineering (SAChE) program [2], [3] prepare engineers with an awareness of the risks of theequipment they will work with, this approach can overlook the need to develop engineers’decision
facilitate success. The project [1] incorporates a multi-facetedstrategic approach designed to enhance recruitment, retention and advancement opportunities forwomen faculty from diverse ethnic, social, and cultural backgrounds in science, technology,engineering, and mathematics (STEM) disciplines which include social and behavioral science(SBS). The program, called the AdvanceUniX project, combines research with programming andpolicy/practice enhancements to drive long-term changes that will transform University X’sculture, promote innovation, and expand the representation of women on our faculty and amongour campus leadership [2].As part of the overarching AdvanceUniX project, the Connect Grants are designed to broadenopportunities for women
(SJS)To assess the impact of different educational interventions related to social justice in engineering,we sought a valid and reliable instrument that could measure changes in students’ orientation to orthinking related to social justice in engineering. We began with the Social Justice Scale (SJS)developed by Torres-Harding et al. (2012). The SJS is informed by Ajzen’s Theory of PlannedBehavior (TPB) (Ajzen, 1991) and contains 24 items that measure four distinct, interrelated aspectsof one’s social justice orientation. In particular, the SJS measures four different dimensions relatedto an individual’s social justice orientation: 1) attitudes (e.g., I believe it is important to try to change larger social conditions that cause
education [1]. The National Center for Education Statistics (NCES), the primaryfederal agency for collecting data related to education, manages the program [2]. The purpose ofCIP codes is to aid in collecting, organizing, and reporting information regarding academic fieldsof study. The system was created in 1980 within the U.S. Department of Education. There havebeen several revisions, with the most recent being CIP-2020.CIP codes are statistical coding tools reflecting current academic practice [1]. Most designationscorrespond to academic programs in higher education. These programs offer undergraduate andgraduate degrees, certificates, and other awards. The CIP code titles and descriptions are meantto be generic categories for placing program
. This paper also demonstrates both the synergies and challenges experienced wheninterleaving these pedagogies together. Finally, this paper demonstrates how the course designsuccessfully contributed to student learning and inspiration, while also addressing all seven ofABET’s student outcomes. This paper will be of interest to educators looking to incorporatethese pedagogies, especially when attempting to interleave them together.THEORYProblem-Based Learning“Problem-based learning (PBL) is a student-centered approach in which students learn about asubject by working in groups to solve an open-ended problem. This problem is what drives themotivation and the learning.” [1] It was first championed in a medical program at McMasterUniversity in the
of this research project is to gain insights into learners’ motivation levels and how itevolves during the last two years in college, as well as to extend current Educational Data Miningresearch and Machine Learning analysis described in the literature. It is significant on two fronts:1) we will extend the ability of ML in analyzing reflective written artifacts to explore studentphysiological and emotional development; 2) the longitudinal study will help monitor theprogressive change of motivation in college students in a PBL environment.Preliminary results from an initial preliminary study are promising. By analyzing writtenreflection journal entries from previous students, the ML algorithm has differentiated keywordsinto three student
Industrial, and Aerospace Engineering from Georgia Institute of Technology. His research is focused on system level design optimization and integration of disciplinary analyses. © American Society for Engineering Education, 2022 Powered by www.slayte.comInter-Disciplinary Senior Design Projects with Industry Partnership – A Pilot Study 1. Project DescriptionThree inter-disciplinary senior design engineering projects were undertaken over the course of twosemesters (Fall 2020 and Spring 2021) at the Kennesaw State University. At the beginning of Fall2020 semester, a call was sent to all senior engineering students to enroll in a newly designed
fast as the technology itself.Today’s students are being trained for jobs that did not exist even ten years ago. Indeed, manycurrent jobs will be obsolete ten years from now. How can we best prepare our students for thisever changing job market—specifically in the field of electronic technology (ET)? In alignmentwith NC A&T’s Preeminence 2023 Goal 1 “Excellence in Teaching and Research andEngagement”, this proposed project is committed to creating a culture that supports teachingexcellence. The National Center for Education reported that, “Professional development enableseducators to update their knowledge, sharpen their skills, and acquire new teaching techniques,all of which may enhance the quality of teaching and learning [1], [2