) Vol. 15 No. 4, pp. 431-449.[6] Pearce, A. Manion, W. “Service Learning for Sustainability: A Tale of Two Projects,Procedia Engineering,” Procedia Eng. (2016) Vol. 145, pp. 50-57[7] Clevenger, C.M., Ozbek, M.E. “Service-Learning Assessment: Sustainability Competencies inConstruction Education,” J. Constr. Eng. Manag. (2013) Vol. 139, No. 12[8] Wagner, M., Bothner, C. L., Rau, E., Zeng, P. Z., Waisanen, E. H., Czerwinski, M. A., ... & Hardin, R.D. (2021). Gala: An Open-Access Platform for Interactive Learning With Sustainability Case Studies.IEEE Transactions on Learning Technologies, 14(6), 788-801.[9] Hardin, R., Bhargava, A., Bothner, C., Browne, K., Kusano, S., Golrokhian, A., ... & Agrawal, A.(2016). Towards a revolution in
, drawbacks, and implications for different fields. The goalof this review of the literature is to examine ChatGPT research conducted in engineering as wellas in a wider context. It also attempts to analyze and assess how students perceive thistransformative tool, with a focus on the approaches employed—most notably, the use of surveytools.There is a broad range of research being done on ChatGPT, including studies of its capabilities,architecture, and social impact. Early research frequently focused on ChatGPT's technical features,discussing its underlying mechanisms and the effectiveness of its language generation algorithms.For example, Azaria (2022) shed light on ChatGPT's training data and model architecture andoffered insights into the machine
stirring learners’ curiosity through experiential learning.The methodology utilized a pre-and post-investigative design. The study conducted a surveywith the validated and globally accepted Litman and Spielberger curiosity assessment tool toinvestigate the interest epistemic curiosity and the deprivation epistemic curiosity of the learnerselectronically. Quantitative analysis was carried out and results were presented using frequency,simple percentages, mean, and standard deviation. Impact of the pedagogy and other mediatingfactors to improving curiosity of learners were investigated using a t-test and the confidencelevel was set at 95% using the Statistical Package for Social Scientists (IBM SPSS v25.0)The findings of this study reveal a positive
learners: everyday environments, designed environments, and out-of-school environments. Table 1 describes some examples and key characteristics of each ofthese environments.Table 1. NAS categories for informal learning environments.Venue Examples Important CharacteristicsEveryday Family Interaction coordinated by the learner; learning variesEnvironments discussion, across and within cultures; learning and assessment hobbies, are not easily distinguished. technology useDesigned Museums, zoos, Artifacts, media, and signage guide the learner’sEnvironments science centers, experience; learner’s interaction with the environment
-Champaign I am currently the Associate Director of Assessment and Research team at the Siebel Center for Design (SCD) at the University of Illinois at Urbana-Champaign. I work with a group of wonderful and talented people at SCD’s Assessment and Research Laboratory to conduct research that informs and evaluates our practice of teaching and learning human-centered design in formal and informal learning environments. My Research focuses on studying students’ collaborative problem solving processes and the role of the teacher in facilitating these processes in STEM classrooms.Nicholas Robert PozzaDr. Blake Everett Johnson, University of Illinois Urbana-Champaign Dr. Blake Everett Johnson is a Teaching Assistant Professor
inclusive mentoring workshops intheir organizations.Operational Definition of MentoringOne of the main recommendations regarding developing effective mentoring practices isdefining mentoring operationally (NAP, 2019). For practical purposes, the definition shouldinclude detailed terms and an approach for data collection to assess the outcomes of the mentor-protégé relationship.We have found that a discussion of mentoring roles facilitates the development of an operationaldefinition. In a workshop setting, participants are presented with multiple roles they may have,discuss what they mean to them, and provide examples for these roles: Advising. Guiding in areas of cross-functional expertise. Examples: selecting courses, reviewing short
upfront transdisciplinary knowledge to engineering students supports the adoption ofan HDT methodology and whether it is a viable approach in engineering design education.Additionally, it examines the impact of adopting holistic emotional, cognitive, and mentoringlearning practices on students. It also assesses their perceptions of various skills and practicessuch as critical reading, flexibility in modes of thinking, communication, analog practices,empathy, ethics, time management, and team dynamics. Furthermore, it explores how thesepractices influence academic success in college and students’ ability to recall knowledge whenneeded.Moreover, it continues the longitudinal study into its fifth year, tracking four cohorts ofsecondary students who
reimbursement process, the tuition for each course was inclusive of books, software, articles, etc. The Program was focused on learning and the application of industry examples. As such, the homework and class discussions were targeted to support retention and efficient incorporation of concepts and strategies immediately into the work culture. Development Students were assessed from a pass/fail perspective. The students were also notified that successful completion of the Program does not automatically qualify them for a promotion or a new position, but rather, successful completion
create activelearning environments, particularly an injection-molded shell-and-tube heat exchanger for heattransfer concepts [6]. Lofton (2022) shared his approach, experiences, and recommendations forflipping a heat transfer course for seniors in a mechanical engineering program at the University Proceedings of the 2024 Conference for Industry and Education Collaboration Copyright ©2024, American Society for Engineering Education ETD 365of Evansville [7]. Kuo et al. (2019) used videos to teach a heat transfer course and presentedvideo analytics and assessment data on a recent effort to enhance student learning [8].While
generally mostassociated with manufacturing, representing a strong indication for the direction to be followedby engineering educational institutions [6]. With the rapid changes in technology, there is greatdemand for automotive and mechanical engineers with a strong background in STEMdisciplines, especially in 3D printing and other technologies [7].The region’s requirements for graduates from engineering programs were assessed by surveysconducted by Indiana Tech among senior students who attended internships in the area, as wellas potential employers (businesses and manufacturers) in the region.According to the surveys conducted among senior students, 25% of the students declared thattheir new jobs are manufacturing related in the Spring 2021 and
opportunities [1], [2], [4]. Instructors, forexample, had to rapidly adapt to digital platforms, mastering new technologies and pedagogicalmethods to effectively convey course content in a virtual setting [3], [4]. For many, thisexperience was their first-time teaching online, and they had to learn the intricacies of doing soon the fly [1], [2]. They had to rethink their teaching strategies, assessments, and mostimportantly the accessibility of their course material. Students, on the other hand, foundthemselves navigating a digital learning landscape that demanded self-discipline and digitalliteracy [1], [3]. They had to learn how to stay motivated and engaged in their studies without thesupport of physical classrooms [1]. They also had to learn how to
everyexperiment, the students had to compile an almost standard report. In the new approach, thestudents had to assess independently the information relevant for the beneficiary of the report, tostructure it such that would be easy to read and to make sure that was technically sound.• In the new approach, the students were required to submit a first draft of the report for eachexperiment. This draft was evaluated by the instructor and the teaching assistant, and then wasreturned to the students for revisions. The returned report included the written comments of thereviewer. After addressing the suggested revisions, the second and final report was submitted.The contribution to the final grade was 40% for the first draft and 60% for the final
collections, build prototypes,prepare project reports, make formal presentations, and prototype demonstration. All MSWCprojects are subject to assessment by a Faculty Judging Panel (two faculty members and twoindustry professionals) using a “Assessment of Learning Outcomes” shown in Figure 8, thatcontains all the assessment criteria.Validation of Graduate Program and SuccessIn this ‘Remote Medical Monitoring Station (RMMS)’ Capstone project (Group#2), an extensiveliterature search was conducted by the students in order to identify the critical user requirements,and identify a viable and cost-effective solution. Students completed the project in three months.During the first month, three students formed a team based on their common interest, elected
Implementation of a Proactive and Effective Advising Program in a Large Civil Engineering Program In the Face of Budgetary and Organizational Constraints Seema C. Shah-Fairbank, William Kitch and Kenneth Lamb Civil Engineering Department, California State Polytechnic University, Pomona, CA Abstract Assessment data from a senior exit survey in 2009 indicated significant dissatisfactionwith the advising received at a large regional university. At the time the civil engineeringprogram had over 1500 undergraduate students and only 16 full-time faculty members, resultingin a student to faculty ratio of 90:1. A review of the
theirmodels. M-MODEL also provides tools that individual authors can use to prepare problemmodels.This paper discusses the features of M-MODEL as applied to a solid mechanics course. It alsodiscusses how it may be used to encourage students to develop mental model approaches toproblem solving. A student assessment of M-MODEL is also presented. IntroductionStudents solve problems by constructing mental representations the problem. These models takemany forms such as graphical, mathematical, flow charts, process steps, and schematics tomention a few. As pointed out by Norman1, these models can be contradictory, incomplete,superstitious, erroneous, and unstable, while varying in time. It is the task of the
and those who changed academic majors6. In his meta-analysis,Daempfle came to a similar conclusion and described the classroom experiences of SMEstudents as “chilly.”7 Seymour and Hewitt suggest that the best way to increase the retention ofstudents in SME fields is to “improve the quality of the learning experience for all students—including those non-science majors who wish to study science and mathematics as part of theiroverall education.”8 They suggest that institutions focus their efforts on teaching pedagogy,student assessment, advising, and faculty engagement.FIGs: A Seamless Learning EnvironmentThe concept behind Freshman Interest Groups (FIGs) is simple, yet profound. Implemented atthe University of Oregon in 1982, a FIG is a small
that their current evaluation process is ready to be expanded to all ofthe sections in this course and to other courses.In 1997 Peter Rosati1 described his use of multiple choice questions in a Statics course. Morerecently, Neil Book and Oliver Sitton2 have discussed the advantages and pitfalls of usingcomputer-based assessment in engineering courses. Last year Joseph Coffman3 and hiscolleagues described a method for creating and evaluating multiple choice quizzes and provideda checklist for question authors. The purpose of this paper is to describe the authors’ experiencesand lessons learned, with an emphasis on the question-authoring software they have used, in casesomeone wants to try it in his or her courses.BackgroundPrior to 2006, the
; Testing Test & Design Results & Designs Preliminary Research Review P&DRR Characterization of MFC Results & Designs Structures & Properties Manufacturing MFC Panels & MFCR Test Requirements TA Assessment of MFC performance & Experimental Test
Saint Peter’s cathedral in Geneva,Switzerland.This paper describes the course goals, program implementation, assessment, results, lessonslearned, and finally, next steps.Supporting LiteratureDuring the planning and development stage of this course, the faculty team chose to employ avariety of techniques intended to invite students to enroll in the course, engage students with theproject management tools presented, broaden student perspectives regarding possible careerpaths, and augment students’ global and cultural awareness. Blended learning has beendescribed as the thoughtful integration of classroom face-to-face learning experiences withonline learning experiences. The characteristic that makes blended learning particularly effectiveis that
addition to the safety training at orientation, a safety seminar is presented eachsemester as part of a departmental seminar series. During each fall semester, an outside speakerwith industry experience is invited to speak about the importance of safety at his/her company.During the spring semester training, an invited speaker or the safety coordinator speaks aboutexpanded topics in areas such as peroxide-formers, sensitizers, biosafety, and concepts involvedin risk assessment. Students have access to all training modules and seminars via the learningmanagement system “Blackboard Learn.” As with the undergraduates, additional on-linetraining was required by the university to meet standards and provide yearly refresher training.A summary of
(SWNTs) is highly energy intensive, with numbers rangingfrom 1,440,000 to 2,800,000 mega joules per kilogram of carbon nanotubes (CNTs) [13]. Thelife cycle energy requirements for CNTs are 13 to 50 times that of primary aluminum on anequal mass basis [13-16]. A comparison can be made of the damage and midpoint indicatorsevaluated in the process life cycle assessment of carbon nanofibers. There are several reasons forthis difference. First, the high-temperature vapor-phase procedure required for carbon nanofiber(CNF) synthesis has low efficiency and requires important energy investment. Second, theprocesses required for manufacturing traditional materials are well-studied and have beenoptimized with respect to energy consumption and material over
tutoring / class contact for studentsin the class (one-two hours for every hour of class); to keep two hours of “office hours”per week to meet individually with students; to attend weekly meetings with their Facultymentor; to attend scheduled meetings with other Peer Teachers, (3) submitting a mid-term selfassessment, and (4) submitting a final report / self assessment on theirexperience at the end of the semester.Excerpts of the final report (as part of a one-credit course: Peer Teacher Internship) aregiven below.Program Purpose:“This program fulfilled both of its primary goals – experience on my part and educationon the part of the student successfully. I have found that some of the most pivotalturning points in my understandings of course
today are ratherdifferent animals than those of just a few decades ago.It is time to re-assess what is required of the engineering education community. Industrygroups are continually lamenting “critical skills shortages” and it is obvious from the levelsof rhetoric in Washington and our media that there are major and persisting deficiencies inour broader education systems. Current topical debates reveal woeful levels of scientificand technological illiteracy leading to the conclusion that a high priority is not necessarilythe improvement of ‘engineering education’ but a major overhaul of the entire system tomatch productivity demands that will be placed on our future workforce. The need fordramatic change is explored.IntroductionAerospace
learning within the context of real world situations.Such innovation in engineering education while maintaining its traditional rigorpresents many challenges. These interrelated challenges include the following: (1)Critical STEM competencies and professional licensing capability must be impartedin a traditional four year program of study. (2) Lecture based courses are moreefficient. (3) Many faculty perceive the analytical, math-intensive courses inengineering science to have higher prestige. (4) Individual learning assessment inexperiential, project-based courses is less objective and the supporting assessmentpedagogies for engineers are not well developed. (5) Fewer faculty have experienceand training in teaching multidisciplinary design courses
’ assessment of the course; (5) The instructor’s experience,assessment, and recommendations for using this course or a similar one to teach engineering to non-engineers. 11. Genesis and Educational Goals of the CourseThe primary motivation for the course was the instructor’s experiences with students taking a “coreengineering sequence” at the U.S. Military Academy at West Point. West Point students (cadets) canmajor academically in their choice of a wide variety of subjects, including engineering, economics, andscience, but also including history, management, leadership, foreign language, literature, and other non-quantitative subjects. However
Europe, a land largely ruledby the Roman Catholic Church. Confession of sins, and its concomitant assessment of penance,was a matter of great importance and concern to clergy and layman alike. So-called Summaswere written to help priests determine penance; these voluminous works listed sinsalphabetically, but there were not that many real “cases of conscience” (i.e., difficult moraldilemmas), nor was there any serious discussion of method or theory.The Society of Jesus, whose members came to be called Jesuits, was founded by Ignatius ofLoyola in 1534. The Jesuits were a very active group, stressing practical solutions to real-lifeproblems, and their missionary structure send priests to far-away places. These conditions notonly required such
arousal approachseemed perfect for this type of student assessment.6.1. Inquiry Arousal Assignment:A final project was designed using the inquiry arousal approach. The students were given aprogram for a game that worked, but with limited functionality. The code that they were givenwas not significantly longer than any other program they had already written, but it used a fewconcepts that had not been covered by the class. However, the textbook owned by all of thestudents introduced each of the new concepts in a similar manner to the concepts covered in theprevious lessons. The students’ assignment was to implement the remainder of the functionality. The listof features to be added was arranged so students knew the order they should be
, University of Illinois Urbana-Champaign Matthew West is an Associate Professor in the Department of Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign. Prior to joining Illinois he was on the faculties of the Department of Aeronautics and Astronautics at StanfoSascha Hilgenfeldt, University of Illinois Urbana-ChampaignProf. Mariana Silva, University of Illinois Urbana-Champaign Mariana Silva is a Teaching Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Silva is known for her teaching innovations and educational studies in large-scale assessments and collaborative learning. She has participated in two major overhauls of large
been regularly available for many years [12]. Also, assessment andrubric design related to entrepreneurial mindset in class settings has also been previously studied[27]. For the workshop being detailed here, the surveys were created as a pre/post workshopreflection on familiarity with entrepreneurial mindset as well as if and what type of goals werewritten by participants. From a student chapter advisors perspective, creating and writing downspecific goals for a student chapter is generally an indication of an active and successful studentgroup for the next year. Alternatively, the perspective of embedding an entrepreneurial mindsetin students and chapter advisors necessitated survey questions at the remembering andunderstanding levels (i.e
twofold: first, to record the motor shaftposition and compare each pulse counting method; and second, to assess whether theyconsistently report the same position at varying duty cycles to determine the extent of anydiscrepancies between measurements. This experiment used pulse width modulation (PWM) todrive the BDC, where it was incremented from 0 to 100% duty cycle in 25% increments. Figure4 reveals difference between the IC and interrupt method when operating at a 25% duty cycle,with the interrupt method having an increasing phase shift over time, producing a three seconddelay over a 90 second test run. Figure 4: Plot of time vs position measured while performing at 25% duty cycle.Similar results were found at commanded PWM duty cycles