concepts easier and differentstrategies for making the concepts relatable to real-life. Below is a table summarizing many oftheir ideas and attributes.Table 1- Summary of courses and positive aspects noted by students Course field (# Course ideas used or positive attributes remembered – different courses) paraphrased from student submissions (selected) • Had a game for teaching about Mendelian inheritance • Used case studies to connect real-life situations to concepts discussed in class • Had a memorable assignment of an essay where students had to research how important water is Biology (6)- 2
simulate theprofessional environment. As indicated by Zollinger, et. al. in the article, “Deconstructing Service-Learning: AFramework for Interior Design,” projects of this type improve students’ higher order thinking skills, increase theirunderstanding of course-to-application knowledge and enhance their problem solving and decision making, all ofwhich were key goals and objectives of the course. We vetted several community partners to find a suitable project.Key considerations were as follows: (1) a partner with a defined need in a marginalized community (2) a projectlocated in an area with high vulnerability to the effects of climate change (3) a project that can support learning forboth IAD and CEN students and (4) a project large enough in
distance. The resulting absorptionspectrum looks like figure 2a with some oscillations of absorption coefficient above the edge. Inthe single scattering approximation, the normalized absorption, χ(k) =(µ(k) -µ0)/µ0 is given by7χ(k) =ΣSi(k) NiFi(k) exp(-σi2k2)exp(2r/λ)Sin(2kr+ϕi+ϕj) /kr2 where k={2mEk/ћ2}1/2 , m= mass ofan electron, N=number of near neighbor atoms, r=near neighbor atom distance, S is a correctionfactor, F=back scattered amplitude function that depends on the type of near neighbor atom, λ isthe mean free path of photo electrons, σ is the De Bye Waller factor which also includes thermalvibrations of atoms, ϕi depends on the absorbing atom and ϕj depends on the type of nearneighbor atom. Basic steps of EXAFS analysis are shown in
In most mainstream electronics or electrical engineering programs, embedded systems designis a very popular topic. Embedded systems allow students to integrate many engineering skills,such as analog circuit design, digital logic design, C programming, HDL design, and signalprocessing. In addition to these skills, student can integrate their knowledge and skills to designand implement embedded systems to solve specific problems in engineering capstone classes.However, there are many challenges in the design process. There are some major challenges, 1. Which hardware platform is the best fit for the design? 2. Which programming language does the hardware platform support? 3. How to develop the application software? 4. Is there a well
individual growth and career advancement. Itencompasses a deliberate and continuous effort to enhance skills, expand knowledge, and refinecapabilities throughout one's professional journey. This structured approach is not merely aboutmastering new technologies or staying abreast of regulations; it is about fostering a mindset oflifelong learning and adaptability essential for success in the engineering world [1].According to LIan Parsons of Harvard's Division of Continuing Education, she defines“Professional Development” as gaining new skills through continuing education and careertraining after entering the workforce [1]. I disagree with this statement as engineers should planand act upon professional development before joining the workforce. For
eachvocalization in an output file for reference. Currently, we are able to identify all instances ofgrouped calls and ~80% of individual calls within each group within 30 - 50 seconds per file.IntroductionMonitoring and analysis of animal behavior is important for biologists and zookeepers tobetter support animal health and safety. This includes studying reproductive behavior, whichis an important factor in the conservation and continuation of animal species. Anecdotallyfrom the zookeepers' experience, female leopards show an increase in their frequency ofvocalizations when in estrus. [1] One of these vocalizations is the “Saw Call’ which is acontinuous set of long and loud vocalizations that occur in bouts of >= 5 per call
Meets andAbove Expectation on the apply and acquire sub outcomes of ABET 7 is above the departmentalthreshold of 75%. The assessment data shows that further work is needed in weekly discussionboard on citing sources properly and in midterm project on identification of correct components,both of which are specific to this work.Corresponding Author: Sriharsha Srinivas Sundarram, ssrinivassundarram@fairfield.eduIntroduction ABET changed the definition of student outcomes (SO) in 2017 and went from a – k to 1– 7. One of the changes in this process was the replacement of the student outcome k,“recognition of the need for, and an ability to engage in life-long learning” with 7, “an ability toacquire and apply new knowledge as needed, using
. Formative assessment is done during the class to improve their students’ performancewhile the summative assessment usually is conducted at the end of the semester or course. Therehas been debate whether summative assessments are contributing to enhance the studentslearning or not as a final project or final exams are the forms of this assessment technique [1].The result of this assessment is not capable of doing any immediate improvement but can beused in the subsequent courses for the faculties to enhance their efforts. As such, formativeassessment is more appropriate to gauge the students’ learning during the course. It can behelpful for the students as they get immediate feedback and for the teachers as they get an insightabout the topic which
aid for the historians' workflow in deciphering damaged ancient texts.Introduction: When understanding the life and culture of an ancient civilization, its texts can be anuseful resource. More specifically, when talking about Ancient Greece many pieces of literaturehave been damaged/fragmented over time. This is a challenge for historians as they rely oneducated guesses as to what the author may have meant in certain texts. Assael et. al [1] did a deep dive into this topic using their groundbreaking work on‘Ithaca’: a character-masked language model. Where their work is a great step into breakingdown ancient Greek texts the goal of our project is to see if a word-level language model, usingtransformer [2] based models, can
Science, in addition to the programming skill assignments. Wefound that the Education Science articles following the scientific method are readilycomprehensible to the high GPA engineering major students in a community college. The roleof a learning assistant in a physics class and medical physics research class for high schoolstudents is discussed with assessment rubrics and recommendations.Keywords: learning assistant pedagogy, education science training, programming skill-learningBackgroundThe traditional pedagogy of supplemental instruction (SI), in which a SI-student is employed asthe supplemental instructor, had failed in the teaching of Physics One (Mechanics), according toa 2021 publication by Stanford University [1]. The pedagogy of
becollected through surveys distributed to current IAC students, directors, and alumni to gatherthree different perspectives on the educational experience. The results from these surveys will beanalyzed to assess the current education, identify areas of improvement, and suggest potentialstrategies to strengthen and standardize it.IntroductionThe rising pressures of climate change have created an exponential demand to maximize energyefficiency across all sectors. Manufacturing facilities are notably some of the largest energyconsumers that could greatly benefit from the implementation of energy efficiency measures [1].Energy efficiency measures provide opportunities to reduce a facility’s annual energyconsumption and operating costs based on their end
or riddles toeventually accomplish a specific goal, typically the escape from a locked room, in a limitedamount of time. Escape rooms have become popular commercialized entertainment in recentyears and have also found their way into higher education, for example, in computer science [1],healthcare [2] [3] [4] and special education [5]. In educational escape rooms, the riddles arebased on material that is specific to the class, and students must either employ their existingknowledge or acquire new knowledge through puzzle solving. Studies have shown that theseeducational tools can enhance learning by strengthening existing knowledge [1] [4] and lead toactive engagement of students in the classroom [1] [6].At the Wentworth Institute of
andeffectiveness of coaching suggestions from an AI Coach to help presentation skill development [1]. Presentations arestudents and young professionals improve their oral communication indispensable in various contexts, facilitating effectiveskills. communication, knowledge dissemination, and professional The primary goal of this research is to develop a methodology advancement.that could be used to test the efficacy of AI in developingcommunication skills. A secondary goal for the research is to Traditional methods of learning presentation skills entailunderstand better what factors
modern engineering tasks [1][2][3]. This paper introduces an innovative PBL approach implemented in one-credit mechanicalengineering labs at Fairfield University. Our primary aim is to bridge the theoretical-practicaldivide by integrating PBL into the curriculum, thereby enhancing student engagement andequipping them for contemporary engineering challenges. The approach's implementation,outcomes, and pedagogical benefits are explored through a detailed case study, providinginsights into its potential to transform mechanical engineering education. The effectiveness of PBL in enhancing learning outcomes, fostering student engagement,and cultivating essential engineering competencies is well-documented. Research has shown thatPBL deepens
advancements, it often meant that morals took a backseat in projects.The profound shift of emphasis took place in the 1970s when the primary obligation of engineersshifted from clients to the public and abiding by engineering codes [1]. These codes areformulated in terms of rules with prohibitive tones so they may easily be enforced. It is crucialfor engineering students to familiarize themselves with these codes and to follow them whenapplicable. The outlined standard of ethical behavior includes protecting public safety andwelfare, performing services only in areas of competence, issuing only objective and truthfulpublic statements, acting as faithful agents or trustees for each employer or client, avoidingdeceptive acts, and conducting oneself
, New York [1]. The BotanicalGarden is on the western terminus section of the Erie Canal. The New York State Canal systemoperates as a recreational waterway in contrast to its industrial purposes when it opened in 1825 [2].The garden has picnic and parking areas, a boat dock, and a kayak launch, visible in Figure 1 fromGoogle Maps, 2019. Figure 1. North Tonawanda Botanical Garden.A. Human Interactions The people come to the Botanical Garden for recreation. They arrive most often in pairs, butsome lone kayakers and fishermen were observed. Most are there to use the boat launch and the kayaklaunch. My observation is that most of the park visitors have an environmental appreciation as theywalk and play along the
as a security incident manager for mobile websites and applications. His early research focused on the development of semiautomatic techniques to build ontologies and the creation of user profiles that improve search results. ©American Society for Engineering Education, 2024Statistical Word Analysis to support the Semiautomatic Implementation of the NIST 800-53 Cybersecurity Framework Rohan Sahu1 and Mirco Speretta2 1 Westhill High School, Stamford, CT 06902; 2School of Engineering and Computing, Fairfield University, Fairfield, CT 06824 Abstract: Cybersecurity frameworks such as NIST
and research. Dan is a Board member on a Child’s Mental Health nonprofit agency where he has facilitated strategic planning and operational management training and guidance. He has published numerous publications on strategic and business management topics.Tauhid Uddin Mahmood, University of Bridgeport ©American Society for Engineering Education, 2024 The Impact of Supply Chain Analytics and Artificial Intelligence on Supply Chain Management EducationAuthor: 1. Zannatun Nayeem 2. Tauhid Uddin Mahmood 3. Dan TenneyIntroduction:Artificial intelligence (AI) is poised to revolutionize several industries, including the industrialsector. Artificial intelligence has a
of electric vehicles (EVs) andindustry. Dijk, Orsato et al.[1] noted that the future job the concomitant establishment of a resilient EV charginglandscape in electric mobility hinges on factors like infrastructure across the expansive landscape of the Unitedtechnological advancements, the availability of charging States. Central to the profundity of this visionary plan is thefacilities, and government support. It raises the question of the administration's aspiration to realize a 50% electric vehicleextent to which the EV industry can offer high-wage jobs, penetration within the American vehicular milieu, with theespecially in comparison with the conventional car industry
change how we teach the new generation ofstudents for many years [1, 2, 3]. The old-fashioned way of teaching is no longer effective whena teacher stands at a blackboard and talks. It's reached its limits and can't produce enoughengineers of the right quality that we need. People are worried about using these old methods toteach tough engineering subjects. The old-fashioned way of teaching needs to use modern toolsand knowledge that can easily be understood by students who are good with technology [3]. Intoday's higher education landscape, there's a growing push to reevaluate traditional teachingmethods and prioritize student-centered approaches. This shift is driven by the evolving needs ofstudents, their future professional aspirations, and
engineering: 1. Engineering as an experiment for the good of humanity is a notable factor that involves far-reaching consequences. 2. Ethical dilemmas make engineering decisions relatively challenging to make. 3. The risk and safety of citizens as a social responsibility is a prime concern for engineers. 4. Technological advancement can be very demanding on engineering skills in the global context, 5. Moral values and responsible conduct will play a crucial role in decision-making.2. Engineering EthicsAccording to ABET, "Engineering is the profession in which a knowledge of the mathematicaland natural sciences, gained by study, experience, and practice, is applied with judgment todevelop ways to utilize, economically
introduced to the NationalSociety of Professional Engineers Code of Ethics [1] and actively participate in thoughtfuldiscussions based on a selection of engineering ethical case studies. As students progress throughthe four-year curriculum, they delve into a variety of ethical discussions and case studiesintegrated into their engineering courses. This gives students the opportunity to explore ethicalsituations that may vary across different areas of study within their field. Additionally, byspreading the ethics modules across the four year curriculum, students are exposed to a breadthof topics and hear the perspectives from different groups of students and faculty. During thesenior design capstone course, students research the ethical issues related
diagnostics, and criminal justice outcomes. To address these issues, we propose a novel approach to evaluate bias in LLMs using metrics developed by Stereoset [1]. Our experiments involve evaluating several proprietary and open-source LLMs (GPT4, GEMINI PRO, OPENCHAT, LLAMA) for stereotypical bias and examining the attributes that influence bias. We used a selected 100 prompts from the stereoset dataset to query the LLMs via their respective APIs. The re- sults were evaluated using the language modeling score, stereotype score and the combination iCAT[1] score. In particular, open source LLMs showed higher levels of bias in handling stereotypes than proprietary LLMs (40% average stereotype score for
studentscan read the x-intercepts from the equation. The student graphs the polynomialwith the associated End Behavior and once again the solution is visually obtained.To simplify the procedure only linear factors with multiplicity one will be used.This is a work in progress (WIP) paper that aims to ensure that mathematicallyunder prepared engineering students succeed in their calculus series courses.Plans for a survey for the effectiveness of this new approach are planned for futuresemesters. Currently this new approach is available for anyone who wishes toimprove and reinforce basic graphing techniques. 1The ability to understand and interrupt graphs is critical for technical fields such asengineering [1
educational setting has its own unique set of challenges both for facultyand students. From faculty’s perspective, it can easily be categorized as a tool students can usefor plagiarism. From students’ perspective it can be trusted to generate meaningful and relevantanswers. In addition, both students and faculty deal with the unknown as this is a new technology,there is hesitation and worry that comes with it as well.Our study offers a multi-faceted multi-level approach: Level 1, Preliminary Assessment: • Conduct a pre-experience survey to evaluate students' familiarity and attitudes toward AI-based tools, particularly ChatGPT. • Utilize a 6-question survey employing a 5-point Likert scale to capture nuanced responses
considered mundane orunsafe for humans. While the more traditional utility of robots lies in industrial applications,demand for robots has increased in areas like medicine [1], agriculture [2-3], and search-and-rescue [4-6] with the potential of becoming the next home “appliance.” As such, the Intro toRobotics course aimed to make engineering students capable users and designers in thisinterdisciplinary field. This paper details the strategic design of a linear course to establish orincrease key concepts and knowledge of robotic theory in students through a series of learningmodules and accompanying hands-on experiments.The area of robotics can be considered to lie at the intersection of topics like linear algebra,electronic circuits, data fusion
services, which include enhancing patientexperience, improving population health, reducing costs, and improving the work life ofhealthcare providers [1]. Emerging technologies such as Artificial intelligence (AI) have thepotential to transform the healthcare sector by improving patient experience, increasingoperational efficiency, and advancing medical research. Researchers in the medical field widelyacknowledge the potential role of AI applications in revolutionize traditional healthcare modelsand shift the service toward data-driven, patient-focused care [2],[3]. However, among many AIapplications, the Large Language Model (LLM) has been recognized as one of the mostpromising AI applications in the healthcare sector [4]. Unlike many traditional
forEngineering and Technology (ABET), the course ensures that students are well-equipped to confront themultifaceted challenges of the engineering profession with confidence and competence. This paper servesas a testament to the efficacy of the Fundamentals of Engineering course in nurturing well-roundedengineers who are poised to make meaningful contributions to their fields upon graduation.Keywords: Fundamentals of Engineering, experiential learning, problem-solving, professionalism,MATLAB, Arduino, Solid works. 1. IntroductionEngineering design is defined as the communication of a set of rational decisions obtained with creativeproblem solving for achieving certain stated objectives within prescribed constraints. The role of design inan
are self paced free online course offered byMathworks. In my interaction with Industry which recruits Wentworth graduates a frequentadvice is that students of all majors should be comfortable with Programming and Simulation.Many papers discuss how Simulink can be used effectively in areas such as dynamic systems,[1],[3],[6] and mechanical systems,[2],[9] and [7].Model Description:In this section we have developed the Matlab and Simulink models for 3 problems 1) Spring Mass Damper System under free Response 2) Spring Mass Damper System under forced Response 3) Simulink Model for Damped system with Forced ResponseSpring Mass Damper System under free Response m = mass of