) 1 has emerged as a revolutionary force, reshaping industriesand societies across the globe. At its core, Generative AI refers to a class of AI algorithms capableof generating new content, ideas, or solutions autonomously, often mimicking human creativityand ingenuity 2. This transformative technology has found applications in a myriad of sectors,including entertainment, healthcare, finance, and education 3, 4, 5, 6, 7 refer to Figure 1., Beyondthese examples, Generative AI continues to permeate various other sectors, from manufacturingand agriculture to transportation. Its ability to generate realistic simulations, optimize complexprocesses, and augment human capabilities holds immense promise for the future of work andsociety at large
, have emerged as critical platforms for fostering creativity, problem-solving, andentrepreneurial skills among engineering students. These events not only provide participantswith opportunities to apply their technical knowledge and collaborative abilities but also exposethem to real-world challenges that mirror those faced by professionals [1]. A recent study alsofound that ICPs improved students self-awareness and open mindedness [2]. However, despitetheir potential benefits, ICPs are often accompanied by significant barriers that may hinder thebroad participation of all student groups, especially underrepresented students in STEM.Addressing these barriers is crucial for creating inclusive and effective learning environmentsthat address the
evaluation comments directed at confusion incomponents of the syllabus. Further, technical contract review in this assignment guided studentsin detail-oriented practices including compliance benefiting further academic progress and futureengineering roles. Students acquired knowledge through assessment allowing them to associateterms of the syllabus to terms of a conventional contract; these included observables, conditions,precise description, and formal representation (Farmer & Hu, 2018). The data from this studycannot be generalized in predicting success in an engineering course; however, previous studiesshow that students who have an increased understanding of course objectives and expectationshave increased learning outcome success (Ulmer
theirdevelopment as skilled communicators. Relying solely on AI can lead to a decline in criticalthinking and creativity. It is important to carefully consider the ethical implications of using AI-generated content, particularly in academic and professional settings, where the boundarybetween AI assistance and plagiarism could become less clear. Additionally, the potential misuseof personal information and data security concerns related to AI writing tools should bethoroughly examined. It's worth noting that AI tools may encounter challenges in understandingcomplex contexts, cultural references, and emotional subtleties, potentially leading tomisinterpretations in the generated content.The ”AI Writing Tools” used for the analysis are listed in Table 1
(2nd ed.).CRC Press.[1] S. Deshpande and A. Purwar, "A Machine Learning Approach to Kinematic Synthesis ofDefect-Free Planar Four-Bar Linkages," Journal of Computing and Information Science inEngineering, vol. 19, no. 2, p. 021004, June 2019. doi: 10.1115/1.4042325[2] C. M. O’Neill, L. S. Seif, and N. M. Kandasamy, "Deep Generative Models in EngineeringDesign: A Review," Journal of Mechanical Design, vol. 144, no. 7, p. 071704, July 2022. doi:10.1115/1.4052998[3] S. Lee, J. Kim, and N. Kang, "Deep Generative Model-based Synthesis of Four-bar LinkageMechanisms with Target Conditions," arXiv, Feb. 2024. [Online]. Available:https://arxiv.org/abs/2402.14882[4] E. Constans, Introduction to Mechanism Design: With Computer Applications, 2nd ed
challenge traditionaluniversity experiences and feedback mechanisms, potentially depriving students of the practicalwisdom gained through these experiences [1]. These concerns reflect a general fear andconfusion surrounding the implications of ChatGPT in education, researchers have highlightedthe need to understand how students may use ChatGPT, as many will use it regardless of itsadoption by the instructor. To address the transformative effects of ChatGPT on the learningenvironment, it is crucial to educate both teachers and students about the capabilities andlimitations of the tool. Academic regulations and evaluation practices used in educationalinstitutions need to be updated to accommodate the use of ChatGPT and other AI tools.Educators should
thedevelopment of more effective and ethical assessment practices.References:[1] Polack, Cody W., and Ralph R. Miller. "Testing improves performance as well as assesseslearning: A review of the testing effect with implications for models of learning." Journal ofExperimental Psychology: Animal Learning and Cognition 48.3 (2022): 222[2] Binks, Sally. "Testing enhances learning: A review of the literature." Journal ofProfessional Nursing 34.3 (2018): 205-210.[3] Brame, Cynthia J., and Rachel Biel. "Test-enhanced learning: the potential for testing topromote greater learning in undergraduate science courses." CBE—Life Sciences Education 14.2(2015): es4.[4] Salinas-Navarro, David Ernesto, et al. "Using generative artificial intelligence toolsto
) Current Robotics CurriculumThe current robotics course at the MET department at Farmingdale State College is a senior-level coursespanning 15 weeks, with both lecture and lab sessions. The lectures introduce students to the fundamentalconcepts of industrial robotic arms, covering their hardware components and control theories, includingforward and inverse kinematics, dynamics, and more. The course equips students with the technical skillsnecessary to control robotic arms, preparing them for careers as robotics engineers. Lab sessions arestructured around hands-on projects that allow students to operate robotic arms for tasks such as basic pick-and-place operations, measuring repeatability, integrating sensors, peripheral controls, path planning
using reason and usually a special system of symbols and rules for organizing them.”Also by definition according to Meriam-Webster Dictionary [2]: “Mathematics is the science ofnumbers and their operations, interrelations, combinations, generalizations, and abstractions andof space configurations and their structure, measurement, transformations, and generalizations.”Other popular dictionaries agree with these definitions. Those who specialize in mathematics arecalled mathematicians.The three traditional branches of mathematics are [3]: 1. Algebra 2. Arithmetic 3. GeometryMore complex classifications for mathematics exist, and this is not the place to elaborate on that.ABET [4] specifies that “College-level mathematics consists of
Society for Engineering Education, 2024 Flexural Mechanical Properties and Microstructures of Three- Dimensional (3D) Printed Thermoplastics Raymond K.F. Lam, Uzair Abbas, Bernard Hunter, and Joseph Seiter Queensborough Community College, The City University of New York, New York, U.S.A. 1. Introduction Three-dimensional (3D) printing or additive manufacturing is utilized to manufacture products in industries of aerospace, automotive, and medical [1]. One example is General Electric (GE)’s decision to deploy 3D printers to manufacture nozzles for its LEAP engines. GE Aviation projects have printed more than 30,000 fuel nozzle tips in 2018 [2]. Manufacturing by 3D printing is experiencing an explosive
adoption of additivemanufacturing, commonly known as 3D printing, the landscape of engineering design andeducation is evolving significantly.1.1. Mechanical anisotropy of 3D-printed structuresAdditive manufacturing allows for the fabrication of complex shapes by depositing materiallayer by layer, a method fundamentally different from subtractive or formative manufacturing.This layered construction introduces unique challenges for mainstream applications. One of themost critical challenges is the presence of anisotropic material properties in 3D printed parts [1].Unlike conventionally manufactured homogeneous materials where the structure and propertiesare generally isotropic, 3D printed objects are known to be mechanically weak at the
alignment ensures MasterCAM generates toolpaths and G-codes that correspond with themachine's reference points.To assess CAD modeling skills, students are asked to create CAD models and demonstrate theirability to produce accurate drawings in MasterCAM. Figure 1 shows an example exercise wherestudents evaluate the area of the shaped geometry and the Moment of Inertia about X and Y axesbased on the indicated origin. Students can use MasterCAM to compute these values. Thisassessment method quantifies the accuracy of student drawings and ensures they understandthe importance of the origin in their CAD models. This method is very accurate and is also utilizedin CAD certification programs such as SOLIDWORKS CAD Design Associate (CSWA) [7
insightsabout thin-film solar panels, which could be a solution for older roofs that cannot support heaviersolar panels and advocated this option to a respondent with concerns about roof integrity.The assessment of the students' written assignments was based on the rubric provided in Table 1,focusing on ABET student outcome 4, specifically in the environmental and societal context. Allstudents met the outcome, with their performance falling into either the 'satisfactory' or'exemplary' categories for this particular assignment. Table 1. Assessment Rubric 4. An ability to understand ethical and professional responsibilities and the impact of technical and/or scientific solutions in global, economic, environmental
methodology consisting of three parts: (1) identification of the keyknowledge, skills, and abilities for climate change in engineering, (2) design of new curriculumthat integrates climate change, and (3) assessment of the newly designed curriculum. The thirdsection presents the results of the assessment of the new curriculum and a discussion of theimplications of the results for further improvement of the curriculum. Lastly, the fourth sectionpresents the conclusions of the paper and identifies future works that will be generated as a resultof this research effort.Literature Review of Climate Change Integrated into Engineering EducationThe literature focused on climate change in engineering education is growing rapidly as theimpacts of climate change
inverse distance, in contrary to theinverse distance-square in the Coulomb law. On the one hand, the Poisson process in radiationdecay measurement gives distribution in the phenomenon-based pedagogy which foster thewhat- if critical thinking requirement in the nuclear technician career. On the other hand, thetheory of the Poisson process in Mathematics-Statistics applies to astronomy, engineering andphysics in the model-based pedagogy which foster the analytical skills required in the nuclearengineer career.The encouragement of students to discuss job opportunities on Indeed.com for about 15 minuteswas found to be inspirational, at least to the extent of doing the assignment in a 1-hour session[8].AssessmentThe grading and assessment pedagogy
teachingto alternative modes. This change in mode of instruction was not just limited to higher education,but also at elementary schools through K-12. This transition to online course development andteaching without adequate training brought challenges to instructors as well as students (1 – 5).Much of the focus during Covid-19 was to convert in-person lectures to online zoom format(synchronous), since it was much faster to adopt. However, there were many instances, such asfor laboratory classes, zoom format was inadequate. In such situations, the courses were offeredin a hybrid format with limited in-person laboratory sessions. Currently, emergency onlineinstruction is not the norm anymore since the Covid-19 restrictions have eased. While there
planning team was made up of the PIs and one Co-PI (or senior personnel) fromeach institution. They met weekly starting three months prior to the selected workshop date. ThePI from HU attended the first couple of weeks and then as needed to review material developed.The PI for NCC attended all of the planning meetings in the second year since it was hosted byNCC. The workshop date was set for after the end of the spring semester for both institutions andbefore the summer session for NCC. An invitation was sent out one to two months prior to theworkshop.The general format of the workshop developed for both years included three parts: an ice breaker,activities related to curriculum mapping across institutions, and developing future
European, Black or African, Hispanic or Latino, Middle Eastern or North African, Asian, Native American, Slavic, or I prefer not to say. • Technical_Talent: Assessed technical skills. Range: Terrible (1) to Wonderful (5). • Learning_Process: Learning style. Range: Visual, Auditory, Reading/Writing, or Kinesthetic. • Learning_Approach: Learning method. Range: Collaborative, Experiential, or Observation. • Early_Adapter: Whether the student tends to adopt new technologies early. Range: Yes or No.The target variable, Test_Group, categorizes students into those who review with AI, review withthe internet, review with a peer, contemplate on their own, or choose any method they like.We then asked a set of 10 to 12
development as engineers.In engineering programs, the expectations for the knowledge base and competencies of graduatesare established through the attainment of ABET student learning outcomes, which serves as acomprehensive assessment of student capabilities. Conversely, employers seek graduates with aspecific skill set. The 12 highly valued skills are problem-solving, computer science, industryskills, pressure management, teamwork, creativity, structural analysis, communication, attentionto detail, educational commitment, data modeling, and leadership [1]. While the acquisition ofthese skills is integrated into ABET student learning outcomes, it is evident that these skills requirecultivation and development. Traditional lecturing predominantly
the assigned team and individualprojects on the learning and the teamwork skills. The given statements listed below (1-20) must bejudged using Likert scale. 1. Working on projects has helped me understand better the importance of FEA in engineering design and analysis 2. Working on projects has developed my confidence on FE analysis 3. Working on projects has helped me in learning and understanding the calculation steps of FEM 4. Working on projects has helped me in mastering ANSYS as a tool for engineering analysis 5. Generally, project-based learning is the preferred method to study Finite Element Analysis 6. The traditional learning method with class instruction followed by homework and exams should not be used
an intensive five-week program which focuses ondevelopment of both technical competences and professional communication skills. Students inthe program cohort are grouped in small teams and paired with faculty researchers in a variety ofdisciplines. While each team works on their individual projects the entire cohort meets regularlyto work together to develop the professional and presentation skills necessary to explain theirresearch to a wide audience.Description of student researchersThe students participating in the AC2 summer research program were selected from our campusand several community colleges through a competitive application process. They were providedwith the opportunity to identify projects of interest, but the final placement
, finalizing the besttechnical solution, and presenting the technical solutions to the sponsors [1-2]. The problemsolver must have the abilities and skills to identify, analyze, and solve problems practically andeffectively. These skills are valuable and critical in both academic and real-world settings.Developing these problem-solving skills in the early STEM stage, like high school, offersnumerous benefits to the students. It not only boosts their critical thinking, logical, and analyticalmindsets but also encourages innovative and creative thinking to help generate shining ideasfrom various perspectives. In addition, problem-solving progress cultivated the grit andperseverance of the students under challenging circumstances.BackgroundThe difference
apprentice had a team leader that they worked closely with. This personwas often also the scrum-master for the project, and the one that would assign tasks toapprentices and evaluate apprentices’ work (e.g. at project demos). All apprentices also hadaccess to an assigned mentor from their partner company, who could provide them with broaderworkplace guidance and some degree of technical support. Finally, apprentices also typicallyworked closely with a member of the HR department – generally the same person at the partnercompany who served as the primary point of contact for the apprenticeship program. This personsupported apprentices in onboarding to the workplace, and often checked in with them semi-regularly throughout the apprenticeship
Paper ID #45360Impact of a Femalized Architecture, Engineering, and Construction KinestheticLearning Model on the AEC Career Knowledge, Self-efficacy, and OutcomeExpectations of African American Middle School GirlsMiss Mercy Folashade Fash, North Carolina A&T State University Mercy Fash is a dedicated and accomplished PhD candidate in the Applied Science and Technology program at North Carolina Agricultural and Technical State University (NC A&T). Her research is primarily focused on increasing racial and gender diversity in STEM careers, addressing critical gaps and promoting inclusivity in these fields. Mercy’s
covered in the first few practical lessons on the designs of data collection. Briefly, thephotomultiplier tube would generate a negative pulse of about 0.1-volt amplitude at 20nanosecond pulse width. An inverted 5X conversion (with pulse inversion) would be applied fortwo different purposes, namely, (1) the logic counting for coincident pulses within a millisecondwindow given the stacking of two scintillators, (2) and to stretch the pulse to 0.5 micro-secondfor reading by the Arduino, at a max rate of about 30 coincidence counts per second.The engineering physics measurement entails the understanding of the following: the scintillatorphoto-electron process, the photomultiplier mechanism, the Boolean logic in coincident countingcircuit, the
workforce.References1 Patel, Chandrakant D., and Amip J. Shah. "Cost model for planning, development and operation of a data center." Hewlett-Packard Laboratories Technical Report 107 (2005): 1-36.2 Dan, Dan, Yihang Zhao, Mingshan Wei, and Xuehui Wang. "Review of Thermal Management Technology for Electric Vehicles." Energies 16, no. 12 (2023): 4693.3 van Heerden, Albert SJ, David M. Judt, Soheil Jafari, Craig P. Lawson, Theoklis Nikolaidis, and D. Bosak. "Aircraft thermal management: Practices, technology, system architectures, future challenges, and opportunities." Progress in Aerospace Sciences 128 (2022): 100767.4 Gandy, Paul JF, Djurdje Cvijović, Alan L. Mackay, and Jacek Klinowski. "Exact computation of the triply periodic D
could serve as a filter for faculty to decidewhether to teach the technical skills related to the inertial fusion confinement career whenmentoring the student projects.We found that a discussion of jobs is good for students during recitation sessions in which theywere free to move around inside the lab space, when compared to the seating arrangementrestriction in a lecture room setting. The Feb 2024 award of 1.5 billion dollars toGlobalFoundries (Headquarters: Malta New York) for chip production to support GeneralMotors, etc. could attract more students to careers in semiconductor technology when comparedto careers in fusion energy technology [17]. This report proposed a pedagogy to help thosestudents interested in fusion energy
, classwork, and assessments.In a traditional college course, students attend lectures, take notes at school, and then completeassignments at home. Educators have been developing active learning strategies to enhance thelearning experience.According to Canavesi and Ravarini (2024), the most effective active learning strategies includewriting, large group discussions, group work, peer assessment, case studies, flipped classroom,quizzes, gamification, game-based learning, business simulations, role-playing, jigsawdiscussions, problem-based learning, project-based learning, site visits, learning by doing, anddebate [1]. Blended learning would be a great addition to this list. In the following sections ofthis paper, a few of these major strategies will
data is collectedfrom 20 STEM students at a university located at the Northeastern side of the United States. Written and videorecorded information is collected and analyzed qualitatively and quantitatively to understand STEM students’ability to solve a research question related to derivative, absolute value, and trigonometric function concepts.The pedagogical techniques used in this work to analyze the collected data are Action, Process, Object andSchema (APOS) theory introduced in [1], and concept image and concept definition introduced in [16]. Thewritten results indicated participants’ elementary level ability to form a bridge between the derivative of theabsolute value function and its image. The participants also had hard time to
’ Ability to Solve Conceptual Power Series Questions 1 Emre Tokgöz tokgoze@farmingdale.edu State University of New York, Farmingdale, New York, 11779, USAAbstract. Success at university-level calculus and more advanced concepts require extensive timeand effort due to the building blocks of the associated sub-concepts. Critical thinking is an essentialpart of demonstrating calculus knowledge in STEM fields to make a connection between the theoryand practice. Establishing such a connection requires training learner’s mind over time to developa well-established theoretical background. In this work, Conceptual