-triggering mechanism. This method involves classifying student sentences into pre-definedclasses [43, 44] that reflect specific dimensions of the engineering design generic problem-solving process [17, 18]. An example of the dimensions included in the testing done for theProblem Definition stage, presented in this contribution, is included in Figure 1.Figure 1 illustrates the models and dimensions adopted for the problem-definition stage of ageneric problem-solving process.The fine-tuning process is based on the “further in-domain pre-training” strategy described bySun, et al. [45], using sentences from 32 reports taken randomly from a pool of approximately140 reports each term. The selected reports are from two terms equivalent to two
remote wipe. The rating will be on a 5-point scale ranging from 1(stronglyagree) to 5 (strongly disagree).Data backup and disaster recovery. Participants will rate how they deal with data backup and disasterrecovery. The questions include having a backup plan for data and Apps, the insurance of mobile devices,and the ability to restore data and Apps in the event of a failure. The rating will be on a 5-point scaleranging from 1(strongly agree) to 5 (strongly disagree)Perception of security. Participants will rate how they perceive mobile device security. The questionsinclude their perception of the importance of mobile device security in general, how they perceive threats,and the importance of having antivirus software on their device. The rating
-COVID). A rubric was created, adapting existing rubrics anddefinitions reported by Gin et al. [6] and Stanny et al. [7]. Syllabus elements (i.e., grading policy,general absence policy, general makeup work policy, office hours, instructor contactinformation, important course dates, instructor encourages student contact, general campusresources, grading rubrics, emergency planning, and mental health resources, Table 1) wereevaluated using direct coding [8]. The presence or absence of each syllabus element wasrecorded for all syllabi (i.e., pre-COVID and post-COVID). In addition, the presence ofsubstantial changes between the early and late syllabi were recorded. The syllabi were codedindependently using two coders, and discrepancies were resolved
storage or aworld-wide grid. However, there is no general agreement about how to overcome thesechallenges. Many top researchers in SSP champion widely-differing architectures on the Page 23.923.2sequence and configuration of building, delivering, and operating powersats13. This lack of cohesion, coupled with the high costs and technical risks, preclude the ability to gain theattention of US law and policy makers. Since the origin of this concept in 1968, and despiteconsiderable study by NASA14, DoD15, and the DOE16, no significant deployments of SSP havebeen made by the US. At present, no federal agency has provided more than a trifle of
aspects of operating well within groups from an ethical as well as logicalperspective (e.g., authorship, data sharing, etc.). In addition, most/many of our workshops includeactivities that provide experiential practice with working in groups (e.g., small group discussionof ethical case studies) and co-mentorship (e.g., forming working groups with mixed levels ofexpertise). Table 1: Guiding principles for field schools Principle Description Responsive Field schools are responsive to participants’ needs. Playful Researchers play with ideas and data to generate new knowledge. Communicative Dissemination and presentation are integral parts of research activities. Collaborative
. Page 23.1033.1 c American Society for Engineering Education, 2013 Remote Circuit Design Labs with Analog DiscoveryAbstractThe limited resources in the traditional labs have restricted the effective and innovative circuitdesign projects from freshmen Circuits 1 class to Capstone ideas. The limited number ofmeasuring and signal-generating instruments makes it difficult for students to engage in theseprojects when they need to share these instruments or schedule to use them at a specific time.Furthermore, it is a challenge for students to learn how to use various instruments includingpower supplies, multi-meters, oscilloscopes, and function-generators if not used in conjunctionwith each other. Likewise
a mechanicalsystem that is coupled with an electrical system such as a servo motor that is running a conveyorsystem which carries load. Page 2 of 15 Figure 1. Electromechanical system with a motor and a conveyorElectromechanical system is taken for the hypothesis because, in general most of the systems usedin industries are of the same kind or to a rotational system. In this system, analysis can easily beperformed to identify the effect of inertia mismatch. An electromechanical system is made of amotor reducer involving an external load and operates with the transition of torque from the motorside to the load side as the power outcome does
improving mental wellness. Based on the above motivation andthe gaps in the literature, we designed the study to answer two research questions:1) What types of goals, related to mental wellbeing, are important to materials engineering andmechanical engineering students?2) Does incorporating a mental wellbeing assignment improve students’ generalized self-efficacybeliefs?MethodsSubject characteristicsResearch subjects were recruited from two classes in the Mechanical Engineering and MaterialsEngineering Departments (ME234: Philosophy of Design, and MATE 232: Materials, Ethics,and Society). Out of the 37 students enrolled in ME234, eight students opted to participate in thestudy. Out of the 42 students enrolled in MATE 232, 35 students opted to
Thermodynamics QuestionsIntroductionThis paper describes the results of a study where generative Artificial Intelligence (AI) was usedto analyze short-answer explanations to two conceptually challenging chemical engineeringthermodynamics problems. This work comes from a collaboration between machine learning andengineering education researchers utilizing machine learning to analyze student narratives ofunderstanding in short-answer explanations to conceptually challenging questions [1], [2].Concept questions, sometimes called ConcepTests [3], are multiple-choice questions involvingminimal calculations and give students experience applying conceptual knowledge. Whenutilized within active learning pedagogies, concept questions have been shown to
fairly good practical knowledge on the basics of materials and machining whichthey learnt through “Learning by doing” approach [1], Project based learning PBL seemed to bethe most appropriate methodology to adapt for this course since the focus is on the application aswell as the integration of previously acquired knowledge.2. Literature ReviewAs an integral part of a global society, engineers today are expected to master a combination ofdisparate capabilities, not only technical competencies concerning problem solving and theproduction and innovation of technology, but also interdisciplinary skills of cooperation,communication, project management and life-long learning abilities in diverse social, culturaland globalized settings. Thus, in
related degree programs.The visualization may be especially helpful for students debating whether to change their majoror add an additional major, as it would allow them to quickly grasp which courses may aid themin completing requirements within both degree programs in consideration. We contribute avisualization of the overlaps between curricula represented in a novel format and implemented asan interactive webpage, and a technique for automatically generating a metro map layout basedon a university course and degree program data.Related WorkThere have also been numerous visualizations of the course offerings of a university or multipleuniversities. Sommaruga and Catenazzi [1] represented the available courses of a university in3D as the
reactors and harvested for food and in this case biofuel for the structurethrough the fermentation of the biomass collected in a storage tank and fermented into hydrogenor methane fuel. Figure 1: Algae Bioreactor An algae bioreactor uses photosynthetic microorganisms to CO2 from the air andproduces biomass that can be then used as a renewable fuel source. The bioreactors come insystems such as open ponds, closed systems, or photobioreactors, these are generally operatedunder different conditions depending on the desired outcome.Microbial Fuel Cell MFC as they are referred to use bacteria to convert organic matter into electricity. Theywork to break down the organic matter and generate electrons
, educators can do more to encourage reflection, exploration, and self-directed learning among students. This is a work in progress, and the first phase has been a pilot study. This paper reports results of the pilot as well as the context, rationale, and design of the overall study. The pilot was the first step in a study seeking to provide new understandings: (1) spanning multiple professions; (2) identifying the various concepts that architecture and engineering students hold about the generation of new designs; and (3) describing how these conceptualizations compare within and between fields. The second phase will use phenomenographic methodologies to identify qualitatively different ways engineering and
Engineering 30.2% University of Toronto Institute of Aerospace Studies 4.8% The Institute of Biomaterials and Biomedical Engineering 0.00% The Institute for Studies in Transdisciplinary Engineering Education and Practice 3.2%Table 1: FASE Respondents Department RepresentationThe survey asked respondents about the importance of general and specific skills required forundergraduate engineering and how competent undergraduate students are in these same skills. Theresults are summarized below in Table 1 and Table 3. The standard deviation is shown in brackets besidethe mean value
andexperiments in the areas of energy auditing as well as solar thermal and photovoltaic systems.Additionally they had the option to borrow the equipment, including the mobile carts, fordemonstration use in their classrooms. By developing a lending schedule, all the workshopparticipants had the opportunity to utilize the equipment in their classrooms on a rotating basis.Workshop Assessment DetailsThe assessment of the workshops was conducted by asking each participant to complete a pre-and post- workshop evaluation form. There were a total of 13 collected evaluation forms. Thepre-workshop questionnaire asked participants to rate their general knowledge in the varioustopic areas of renewable energy using a 1 (low) to 5 (high) point scale. Using the same
user experience survey. The survey results gave some constructivefeedback for the developers. Overall, the project can deliver a feasible solution for courseinstructors to handle many student project teams. In the future, a generative AI feature -CHATME will also be available on the front end to help the user check the status of each studentgroup, which is built using NLTK and TensorFlow. Moreover, if a team issue arises, theplatform will alert the users, and provide constructive suggestions on how to improve the groupperformance.IntroductionIn engineering education, fostering collaborative skills [1] among students is crucial, and team-based learning has become the primary approach. It is an approach particularly prevalent infoundational
Website 2 100% 0 0% 0 0% CC Visits/Information Sessions 11 69% 4 25% 1 6% CC Engineering Faculty Advisors 16 53% 12 40% 2 7% CC First-Year/General Advisors 3 30% 4 40% 3 30% CC Course Catalog 3 27% 6 55% 2 18% Transfer Articulation Agreement 6 50% 5 42% 1 8%Commonly used university web resources were viewed as overwhelmingly effective sources ofinformation on course transfer including the university transfer equivalency guide (+ 70%),university website (+ 72%), and university checksheets (+ 71%). In contrast, participants wereoften
in improving engineering education in higher education,institutions are still facing hardship in recruiting and retaining students in engineeringdisciplines. With the high demand of engineers in the workforce, institutions should take actionsin resolving this issue. A report conducted in 2012 proposed that if only 10 percent of thestudents who leave STEM majors were retained the demand of workforce can be met [1]. Aninitial step that can help to move towards this goal is to better understand what factors attractsstudents to matriculate into STEM majors and what factors attract students to leave STEM.Although there has been research on the characteristics of students who leave engineering, thedestination of those who leave STEM majors have
toreinforce and improve the understanding of fundamental principles of Engineering Economicsthrough the use of the smart phone apps outside the classroom individually or collaboratively.The example topics include time value of money, cash flow modeling, applications of interestrates, decision making, effects of taxes and depreciation. The current app consists of 5 tabs/sections: E-Book: This is an E-Book consisting of several sections of key notes relevant to materials covered in this course (Figure 1). Calculator: This consists of 10 calculators specific to different types of common problems (Figure 2). Tables: This can generate interactive reference tables. Once the user enters the
Stages 4 and 5, the CAD model is further updated, and more prototypes can bebuilt when necessary. Finally, technical drawings and documents are generated.3. CONCEPT GENERATION AND SYSTEM LEVEL DESIGNMarket research helps student develop an understanding about the CNC router and thecompetitions in the market. There are many ways to do market research, such as interviewing afocus group, conducting a potential user survey, or simply searching the internet. Studentsstudied 6 top brands of desktop CNC routers. Their workspace, weight, and cost are listed inTable 1. Design specifications of the student designed CNC router are listed at the bottom ofTable 1. The specifications were chosen with remaining competitive over the benchmarkproducts in
engineering course. We characterized ChatGPT usage as either productive or unproductivefor learning and defined four general reasons why students engaged with AI in this course:ChatGPT as 1) A learning aid 2) A coding resource specifically 3) An inevitability 4) A personal perspectiveWe discuss some of the ways that students can use AI responsibly as an asset to their learning.Their responses also show student awareness and current understanding of the positives andnegatives of AI use for acquiring and applying foundational programming skills. The results alsoshow that the majority of students who chose to use AI did so to enhance their learning ratherthan replacing their original work.Introduction and
Questions and AnswersAfter examining how much students talk during class, we turned to analyze the content ofstudents’ and instructors’ questions and answers (Figures 3 and 4). As is expected, the data showa clear relationship between the content of questions and answers. The content of studentquestions is generally reflected in the content of instructor answers, and the content of instructorquestions is generally reflected in the content of student answers. Furthermore, the data showthat the majority questions from students and the instructor in both courses did not addressedscience and engineering reasoning (student science and engineering questions were 32% inCourse 1 and 50% in Course 2; instructor science and engineering questions were 5% in
draw the linebetween the need of qualified personnel from the private sector reflected in our curriculumdesign and the need to develop pure critical thinking skills and general abilities in engineeringand technology. More than that, there is no study of how the corporate demands might affect theacademic freedom of our instructors. At what point does teaching based on specific corporatedemands compromise the need to teach general skills that can be used at any company withproper training? How do we know if the skills we are teaching based on corporate demands are Page 23.294.3the set of skills these students will need if they move out of the
suggests that the program has managed to retain young girls’ interest in STEM over theyears. To be able to study the impact of this event, in the long run, the School of Engineering ismonitoring the progress of female students who had participated in Imagineer Day for two yearsor more.On the other hand, the event has allowed our collegiate girls to exemplify and teach the skillsthey acquired throughout their college career to younger generations. It also helped themimprove their public speaking and time management skills, of which both contributed to anincrease in overall self-confidence.References[1] H. Blackburn, “The Status of Women in STEM in Higher Education: A Review of theLiterature 2007-2017”, Science & Technology Libraries, 36:3, pp
notes provided, identical homework assignments, consistentweekly topical schedule, textbook, and online quizzes using a lockdown browser (Respondus).The primary difference was that the face to face section had a live lecture and the online sectionhad specifically made videos produced with Camtasia screen capture software.In general, most weeks covered one chapter in the text. The general sequence of activitiesinvolved: Coverage of course topics either by lecture or by video using consistent power point slides. Figure 1 provides a screen capture of a typical video. For the online section, Centra chat / white board sessions were held on Tuesday and Wednesday. An example screen capture is shown in Figure 2. These sessions
pollutants.[1]. This project investigated the feasibility of total or partial replacement of the frictional braking systemin an automobile with a contactless electromagnetic braking system. The investigative efforts are “proof-of-concept” type. The student-led team designed and built a prototype for a frictionless electromagneticbraking system by installing computer-controlled electromagnets inside a typical drum brake assembly.When the drum rotates and passes through the magnetic field generated by the electromagnets, a Lorentzforce is induced that opposes the rotation of the drum. The electromagnetic brake was compared againststandards for modern vehicle braking performance to determine the feasibility of the frictionless brake’sperformance
solving technical problems) 2. International professionalism (ability to articulate global engineering practices in general and how their career as a future engineer impacts engineering practices globally) 3. World view 4. Critical thinking 5. ResourcefulnessInternational ≥3 1. Understanding of the political, monetary, and fiscal constraints in differentContextual regions and countries for R&D, manufacturing, import/export, sales, etc.Knowledge 2. Knowledge of world geography 3. Knowledge of social/cultural
across multiple ethnicities and instead combinedall respondents that did not identify as White / Caucasian into a ‘Persons of Color’ category andcompared them with participants that did identify as White / Caucasian.ParticipantsRespondents were recruited in a non-random convenience sampling format. Authors sent aninquiry to various on-campus academic research groups, off-campus academic forums, previousand current student bodies, and general peers to complete the survey and in exchange be placedin a raffle for one of four $15 gift cards to Amazon Marketplace. Our final sample included 119participants; demographics can be observed in Table 1. Table 1. Demographics of respondents (N=119)ResultsTo better understand
students; first-generation students). The findings underline the importance of type and frequency ofinteractions with engineering faculty and perceptions of positive and supportiverelationships for self-efficacy and persistence in engineering.Keywords: engineering self-efficacy; student-faculty interaction I. INTRODUCTION The importance of the role of student-faculty interaction (SFI) in student success hasbeen emphasized by several predominant theoretical frameworks on student persistence andacademic success in higher education [1-2]. Although there are many factors that influencestudent success, researchers seem to agree that SFI has a direct impact [3-7]. Faculty impactstudent aspirations
in the last three categories (i.e., M, DS, and E)was statistically significant.1. BackgroundEngineers working in design and manufacturing fields often confront challenges not because of alack of technical ability, but rather due to a lack of professional skills. One such important skill ismetacognitive understanding of their own and their team's problem-solving abilities.Metacognition is the process of “thinking about thinking” such that individuals learn methods tounderstand the way that they learn, what they are lacking in their current learning strategies, andhow to improve. Metacognition includes monitoring and control activities and it is a pre-requisiteto any problem solving because it affects critical thinking, creativity, and