learningstyles12. This model categorizes people into four learning styles that relate to how they deal withideas and daily situations. While industry tends to desire a more balanced learning preferencecurve that is typically found in engineering freshmen (Figure 1.a.), the traditional engineeringcurriculum often tends to support students with a stronger preference for active experimentation(Figure 1.b.). As a result, students with a stronger preference for reflective observation tend tobe discouraged from continuing in an engineering curriculum. (a) For Engineering Freshmen (b) For Graduating Seniors Figure 1. Average Learning Preference Curves for Engineering Freshmen and
Conference & Exposition Copyright © 2004, American Society for Engineering EducationIn this laboratory session, the directivity pattern is determined analytically and measuredexperimentally. During the experiment, a projector and a hydrophone are separated by theminimum acceptable distance, x, to minimize interference from reflections. The standard criteriafor uniform circular pistons are ra 2 x , (4) nwhere n"?"c/f is the wavelength, and f is the resonance frequency of the transducer.The experimental set-up for measuring the directivity pattern
), wasdeveloped to quantify student performance. The acronym RADD reflects the traditional designprocess of proceeding from a function statement with requirements, to an analysis that in turnresults in some design parameter that is then developed and documented in the form of a drawingof a device. Our experience showed that the student’s proposals lacked some parts of this designprocess. The traditional metrics of grades and post-graduation employment were insufficient inassessing the MET program objectives and did not point to specific actions required to improvestudent performance.The intention of creating and applying this metric is two-fold. First, it was used as a metric inour assessment process, reflecting our program and course outcomes. Second
appealed to me. I preferred theseincentives to reflect my personality. Diecast cars, on the other hand, have always fascinated mefrom the first time that I saw a Matchbox® Volkswagen 1500 Saloon in a shop window atKadıköy, Istanbul, Turkey when I was in elementary school.To achieve objectives 3 (engineering design process) and 8 (teamwork) listed below, a designproject is part of the course requirement. In the previous offerings of this course, the studentswere allowed to form their own teams to but the project topic was assigned. This iteration of thecourse gave each team the freedom to choose its own design project.A few weeks into the semester, I realized I was looking forward to meeting ‘my’ freshmen,especially in the lab. Midway through the
specialization in addition to two elective courses, challengesthem to reflect on their own qualities and competencies in relation to the educationalexperience, and enables them to move toward greater personal and professional developmentin their chosen area in the competitive global marketplace. This curriculum can also increasethe students' capacities as reflective practitioners. Students, who are highly aware of theirroles in their professions, would be able to assess and improve their effectiveness through thisapproach. The pedagogical approach followed in this program engages students as activeparticipants in their own learning, in interaction with others, in response to real worldproblems, and in ways that parallel the process of fieldwork
of multiple robot arms, pipetting stations, incubators, plate washers, and detectors. Many laboratory managers start their move away from manual methods by purchasing semi-automated work stations that can pipette and deliver small volumes of reagent or wash the samples in micro-well plates or other vessels for virtually 24 hours a day, seven days a week. By freeing lab technicians and scientists from such non value added tasks, these work stations allow them to focus on activities, such as designing experiments, that are more critical to the success of their programs.The project was recently conducted by the CIM lab and Reflect Scientific Co, Mountain View,CA. Two graduate students
silence dedicated to the students, teachers and administrators, familiesand the community of Columbine. The seminar was divided into several blocks of time encompassing different approachesand outcomes. The first block of time focused on reflection and discussion of personalmorals and values. The discussions centered upon the basic values of trustworthiness,responsibility, caring, and respect. Faculty and students discussed how these aredeveloped individually and how they guide their life. Student teams then investigatedhow abiding these values are through moral dilemma exercises where the decision to dowhat is ‘right’ versus the pressure of the group played out.Another block of time was devoted to the delivery of overviews on pre-developed
allowing the few technically-orientedmembers of the audience to dominate discussions. In an initial presentation, most potentialinvestors and management teams initially want to know what the product is, what it does, and ifit works. They then want to know about potential markets, prospects for profitability andgrowing the business, and who the competitors may be. Students who have come to understandaudience expectations can facilitate transactions with their environment and influence membersof the environment.Theory: The Lewinian Learning Model presents an iterative process of reoccurring steps. 6A feedback model of experiential learning, Lewin’s model, begins with concrete experience,followed by observing and reflecting, followed by forming
: Introduction to EngineeringDesign and is often the first exposure that students have with engineering processes and theengineering laboratory environment. The design module is highly relevant in that sensors andcontrol systems are prevalent in many engineering fields. We employ a constructivist approachby starting with basic concepts, following with hands-on experiments, reflecting on what waslearned, and making connections between theory and application. The module uses modern testequipment in an engineering laboratory environment.1. Introduction Engineering education has seen many initiatives over the last decade. Gradually,engineering educators have come to realize the improved learning that comes from hands-on,student-centered, team-based
, student began to realize the level of scientific and engineeringunderstanding required to select the optimum manufacturing process and that fact that thistechnical information which they are studying is really applied in the ‘real-world’. The responseson the student evaluation form reflected the value of the industrial field trips, as tabulated inTable 2. Additionally, this statement was evidenced by student responses to the following surveyquestion (from Spring 2001). Page 7.560.6 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright © 2002, American Society
;when students need to analyze, synthesize, or integrate the knowledge being studied; or whenlong term retention is required, lecturing is not such a good idea.’ Other researchers have foundthat lectures tend to alienate active and reflective learners – the active learners do not doanything, while the reflective learners do not have time to reflect. As a result, both are lulled intoinattention by enforced passivity9,10. Also, lectures do not adequately take into account variedstudent learning styles11,12. Many engineers are actually 'active, visual learners', much betterserved by active, visual and tactile teaching methods13-16.Further, one of the imperatives identified by the Advisory Committee to the National ScienceFoundation Directorate for
laboratories and the Page 7.504.1 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Educationsenior project are to continue to provide value, they cannot remain static, they must reflect thecurrent environment, and current practice in the industrial sector. Today's engineering world is fullof potential and is almost surreal in scale and scope. It provides a tempting prospect for nascentengineers to develop new engineering wonders.However, support for these activities must come from industrial sponsors and from
-fighting robot.Each team is provided a Lego Mindstorms kit and a popular small computer used widelyin educational robotics—the HandyBoard [5]. A series of hands-on workshopsintroduces students to major problems associated with mobile robot design. Workshoptopics include programming in C, sensor interfacing and calibration, motor control,sensor-based navigation, and system integration and test. The course relies on the newtext by Fred Martin, "Robotic Explorations—A Hands-On Introduction to Engineering”[6]. A full description of ENGR 120 is presented in Ahlgren [7]. That paper shows thatENGR 120 encourages students to develop core engineering abilities that are reflected inthe ABET outcomes a-k [8].Robotics Study TeamThe second curricular locus for
identify, formulate, and solve engineering problems1 (f) an understanding of professional and ethical responsibility1 With regard to outcome (e), LE is particularly useful for developing the ability to reflect on andthink critically about the process of problem definition. Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright 2002, American Society for Engineering Education Page 7.971.1 (g) an ability to communicate effectively (h) the broad education necessary to understand the impact of engineering solutions in a global and
significantly when they used the PRS system compared to studentstaught in a more traditional method5-7. The use of these systems continues to grow. A group at theUniversity of Massachusetts has been forming a community of users that share many techniques andpotential questions.The PRS system provides the instructor and the students with several major advantages. First,this process encourages students to reflect on the concepts that have just been presented andallows them to think about how they might explain or apply these new ideas. This requires thatthey become less passive during class and more generative. The second benefit emerges fromthis generative process. If students find that they can’t answer the question, then they can askthe professor
detector (PSD) device. The PSDoutputs a voltage proportional to the intensity of the light cast upon it. The light source, a lasersimilar to the type used for overhead presentations, is fastened to the base of the MTD and aimedat a mirror attached to the mass. The laser is adjusted until the reflected beam just hits the centerof the PSD when the mass is motionless and in its normal position. As the mass moves aroundits normal position the reflection angle changes which, in turn, changes the area (intensity) of thelight hitting the PSD and hence its voltage. Aside from the initial “tuning” of the laser beamangle, the motion sensing method is extremely accurate, non-contact, and extremely easy to
technology at Kean University. Page 7.95.3 Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Copyright Ó 2002, American Society for Engineering Education a- The first step would be to write the program establishment mission statements. The mission statements should be written to reflect the main objectives that are to be fulfilled by such a program. b- Writing the recipient career performance will cast more light on the mission statement c- Reciting the factors that lead to pitfalls in the existing program help to avoid these pitfalls in the new
reflections (step 2). From such reflections,one is able to generalize to deduce global phenomena (step 3) which can then be validatedthrough testing (step 4). Often, the content-driven machine elements approach to teaching hasfocused mainly on the first two steps, which has prevented the students from gaining much in theway of the mechanical intuition.In addition to completing the steps in Kolb’s model, this project also allows students to play the“actor” role as opposed to the traditional “receiver” role in the classroom (this distinction isdescribed in Svinicki and Dixon2). While such classroom activities often require more time thanthe traditional use of lecture time, students gain a great deal of insight by describing theirindividual projects to
: Student evaluation form Which module did you perform (circle one): 1 2 3 4 5 6 How long did it take you to complete the module: _____________________ Should the lab proficiency exam be a required part Engr 60? (circle one) YES NO Overall, how difficult did you find this module? (circle one) Very Difficult Somewhat Difficult Average Somewhat Easy Very Easy Overall, how clear did you find the instructions for this module? (circle one) Very Clear Somewhat Clear Average Somewhat confusing Very Confusing Do you feel that your performance of this module is a good reflection of the lab skills that
field. ChatGPT can be fine-tuned to provide answers todomain-specific questions, making it a powerful tool for scholars to find answers quickly andefficiently. These capabilities can help researchers save time and effort, allowing them to focuson the more creative and analytical aspects of their work (Lund et al., 2023).There are several ethical and privacy implications to consider when using ChatGPT or otherlarge language models in academic settings. One concern is the potential for bias in the model'sresponses, as it may reflect the biases present in the training data. Additionally, there areconcerns about the privacy of individuals whose data was used to train the model, as well as thepotential for the model to be used for nefarious purposes
hierarchical. II. Project Outcomes and GoalsFaculty who participate in this program, will be able to: 1. Interrogate and disrupt the sociocultural basis of their discipline, drawing upon knowledge and perspectives, discourses and methodologies from diverse cultures. This outcome will be accomplished through discussion and feedback in a community of learning with colleagues, the use of gamified activities, the revision of teaching artifacts as well as through opportunities for self-reflection on the pedagogies that are traditionally assumed to be the standard for that discipline. This learning outcome encourages participants to look for perspectives that are traditionally excluded and not centered in
with students of diverse backgrounds and learning styles, ensuring that everyone feels valued and heard in her courses. Her commitment to excellence is evident through her active participation in teaching workshops at the Center for Excellence in Teaching and Learning (CETL) at UConn. Lina’s work in academia reflects her dedication to enhancing education and fostering a sense of belonging among students. Her contributions in both teaching and research continue to make a lasting impact in her field.Aayush Gupta, University of Connecticut ©American Society for Engineering Education, 2024 ChatGPT in Computer Science Education: Exploring Benefits, Challenges, and Ethical
going into the engineering field as a career. Employees must think about thecompany’s interest and their own career as an obligation they have accepted once they werehired. If the company were to thrive or fail, the career of each individual working for thecompany would be affected.This case study was a clear-cut example of the many different “moral obligations” and paths anindividual may choose to take. As student begin to make their career paths in the field, it iscrucial for them to reflect on which moral obligations matter most to them. Through theopportunity of open discussion in a SUNY Canton ethics class with widely diverse individuals,students can hear the thoughts of future potential coworkers whilst understanding the effects
3 3 Positionality Statement Before continuing this presentation, and in the spirit of self- reflection, I acknowledge my standpoint as an educated Black American woman. I have not been an instructor of record yet, but I have experienced and observed both positive and harmful situations within and outside of the engineering classroom involving minoritized and historically marginalized students. I acknowledge that my positionality has given me a unique perspective while working on this project. Inspired by Davis (2018) 4Positionality statement will also introduce the presenter(s
belongs to racially minoritized groups, and40% of the student body are first-generation college students (defined as students whose parentshave not earned a degree from a four-year institution). FMU primarily serves the Pee Dee regionof South Carolina, in which all but one county meets or exceeds the national averageunemployment rate. FMU is classified as a Title III institution by the United States Departmentof Education, reflecting its predominantly low-income student body.Engineering at FMUOver the past ten years, FMU has introduced two Bachelor of Science (BS) degrees related toengineering. In 2013, a BS in Industrial Engineering (IE) was introduced, and this was followedby a BS in Mechanical Engineering (ME) in 2019. These degrees are
as a deterrent. To enhance participation, efforts should be madeto make office hours more accessible and less intimidating and clearly communicate that help isavailable for all students [1].Another study [2] investigated student barriers to attending office hours in STEM classes. Themost common reason cited was students not having questions or feeling a full understanding ofthe course content, possibly reflecting overestimation of their own abilities. Many notedstructural barriers, such as conflicting schedules with other classes or activities. This emphasizesthe importance of flexible scheduling to accommodate diverse student timetables. Anotherprominent barrier was the perception of intimidation, fear, or a social stigma associated
Twitter hashtag unveiled the harshrealities of anti-Black racism faced by faculty, staff, andstudents in historically white colleges and universities. 2In response to these devastating events, on June 10, 2020,STEM faculty across the United States came together for#ShutDownSTEM, a one-day academic strike dedicated tounderstanding and confronting anti-Black racism in highereducation and STEM fields. #ShutDownSTEM provided acollective moment for STEM academics to reflect, havedifficult conversations, and commit to taking actionagainst systemic racism. However, we quickly realizedthat a single day was insufficient to prepare for the long-term, ongoing work required to truly dismantle
energy projects should be developed with the involvement of local communities and stakeholders.It is common to observe that the sentences generated by ChatPGT are often longer than those writtenby students. The overall flow of the sentences and paragraph are more coherent than normal, and keywords are used throughout the writing. Overall the AI-assisted writing is considered to be excellent.A negative observation is that writing is non-natural for the student. An example of non-natural wordchoice is the underlined “disproportionately borne” which is a phrase not expected in the student’sverbal communication. A student’s writing style and word choices are reflective of their verballexicon. If they do not use words and phrases
be less likely to rely too heavily on generative AI to completetheir assignments if instructors teach them how to use it effectively and appropriately instead ofbroadly prohibiting its use. This paper presents the results of a survey on students’ perceptions ofand experience with Generative AI/ChatGPT. Identical surveys were administered to students intwo different sections of the same junior-level writing course for engineering majors. In onesection, students were given prior instruction in the focused, ethical use of ChatGPT with aspecial emphasis on Generative AI’s professional impact. These students were then asked topractice prompt engineering using the CLEAR framework described by Lo [1]: Concise, Logical,Explicit, Adaptive, Reflective
in size. Exploring these vast, multi–dimensional processing spaces by trial–and–errorexperimentation – even for well–studied materials – is not feasible on reasonable time scales.Thus, considerable interest exists in the development of machine learning–based approaches forthe rapid and accurate identification of optimal materials designs and synthesis conditions. In thiswork, data describing over 125 plasma–assisted molecular beam epitaxy (PAMBE) synthesisexperiments of ZnO thin film crystals have been organized into a single data set. For each growthrecord, the complete set of PAMBE operating parameters for ZnO synthesis are associated with ameasure of crystal surface morphology as determined by in-situ reflection high–energy