by Chinese-American,Anglo-Indian, or Latino writers [15]. Code-switching can take on various forms, but in this paper,we define it as the use of both Spanish and English in bilingual communication. This showcasesthe intricate linguistic dance that bilingual speakers engage in, which reflects a blend of linguis-tic choice and cultural narrative. This phenomenon is especially prominent in communities whereboth languages are woven into the social and cultural fabric, allowing individuals to fluidly navigatetheir bilingual identities [16], [17]. Beyond simple language mixing, code-switching incorporatesa sophisticated amalgamation of grammatical structures, cultural cues, and contextual relevance,highlighting the cognitive dexterity of bilingual
interactions. Again, this section reflects the NSF emphasis on working cohesively acrossdifferent institutions, disciplines, and areas of expertise to solve large, complex problems.Section 3. Culture of Inclusion Items: Respondents are presented with 11 items, based on theliterature, that measure feelings of inclusion within a group. When we present the visual forcommunicating about the survey below, we will discuss the evidence in support of using it. In the2022 survey, these items were presented to each respondent randomly. The reason for this was todetermine if these 11 items still fell into two factors as they did in 2021, even when not presentedtogether as sets of items.Section 4: Recruiting and Mentoring Activities: In previous iterations of the
include foundational sustainability principles, corporateenvironmental, social, and governance (ESG) reporting, decarbonization, sustainability inmaterials, life cycle assessment (LCA), renewable energy, and sustainable engineering designprinciples. In addition, students participate in three lab components—two experiments and onedemonstration—exploring alternative energy sources including the production of H2 fuel, solarpower, and polymer pyrolysis to fuel oil. Student learning is assessed through reflection papers atthe end of each unit, two lab reports, and a group project at the end of the semester. A newcourse in LCA will be taught in the department in Spring 2024 to supplement the sustainabilitycurriculum.The Introduction to Sustainable
significantly increased duringthe semester for the group of students exposed to the design sprint early on. Students whocompleted the design sprint later in the semester reported an increase in engineering identitymetrics, but it was not statistically significant. Interestingly, survey results indicate both thedesign sprint and an environmental engineering water filter challenge provided students anopportunity to reflect on the EM. Findings support other work that shows an increase inengineering identity in first-year engineering experiences. Future work will examine howengineering identity and EM differ across demographics and students’ selected majors.ResourcesA “Card” – i.e., an information repository – has been created for this paper on the
efficiency [9]. Integrating Lean SixSigma further bolsters comprehensive process optimization, reflecting the ongoing evolution ofquality engineering practices [10].The dynamic nature of today's industrial operations demands a workforce that is theoreticallyknowledgeable and practically proficient in applying quality engineering principles [11]. Withthe increasing complexity of manufacturing processes and the integration of new technologies,effectively utilizing quality tools has become crucial for ensuring efficiency, reducing waste, andmaintaining competitive advantage [12]. Moreover, integrating quality engineering principles iscritical to achieving operational excellence and customer satisfaction [13].In response to this need, the significance
increasingly directinfluence on higher education [8], [9]. Further, the specific institutional relations formedbetween AMUT and MIT reflect the friendly relations between the U.S. and Iran in the 1970s,and routine educational and cultural interactions between the nations in that era [11]. Mutualnational interests and reciprocity were built into the fabric of U.S.-Iran relations. For the U.S.,the Shah was the most significant strategic ally in the Middle East, truly an unimaginable featureof U.S. policymaking in the current geopolitical context. Further, as early as the 1950s, the Shahhad actively recruited those he deemed the most talented of Iranian students to attend Westerninstitutions for graduate education and return with advanced skills to lead
cingulate cortex regions of the brain, has been linkedto inhibition control [26-27]. A section of the literature highlights the N400, a prominent negativecomponent peaking around 400 milliseconds, as pertinent to interference control in Stroop tasks[28-29]. The N400 reflects the higher cognitive demand involved in managing the interferencebetween conflicting sources of information, such as ink color and word name in incongruentconditions. Additionally, alongside the N200 and N400, studies have reported a late negativity infrontal regions or a late positivity in centro-parietal regions, typically occurring around 600milliseconds [29-30]. These late components are indicative of processes like executiveengagement, conflict resolution, response
the 2D plane. MARVLS provides opportunities for students to reflect on interactions with the physicalcube and digital model by allowing students to rotate digital model by rotating the cube. Thisallows students to manipulate aspects of the digital models by modifying current flow, shape ofcomponents, and orientation of the system to explore complex interactions between objects andfields. Activities then scaffold students to map these interactions to formalisms, such as Lorentzforces, Gauss’s Law, and Ampere’s Law, as well as abstractions, such as mathematical equationslike Maxwell’s equations. By connecting equations and formalisms to a variety of actionsgrounded in conceptual metaphors and intuitive understanding, MARVLS facilitates
frameworks to foster environments of intrinsic knowledgedevelopment [8, 9]. Kolb’s learning model [10], for example, defines a cyclic four-stage model(concrete experience or “feeling”, reflective observation or “watching”, abstractconceptualization or “thinking”, and active experimentation or “doing”) which considers“learning” as a continuum, rather than discrete pockets of time, and generates intrinsicmotivation in learners. Similarly, authors Poitras & Poitras [11] stated the importance ofapprentice style education for engineering, an approach that leverages active participation,hands-on exercises, and active experimentation, and use technology to enhance learningoutcomes and facilitate the understanding of industry workflows and the
group due to the low materials cost of the activity. This meant building eight kits perclassroom set. The team at Southern Illinois University chose a group size of 5 middle or highschool students per group due to the larger physical dimensions of their activity, which meantthat 4 kits were constructed per classroom set with an expected enrollment of approximately 20students per class. The size of the classroom set also reflected the need for the kits to be portable.Both sets of kits were sized to fit neatly into one or two large plastic totes. Each team created two classroom sets of equipment necessary to perform the labs. In lateApril, three weeks before the end of the semester, the full group held a second in-personmeeting. At this
their curriculum development project also revealed their increasedawareness of their own understanding of the material and the challenges for curriculum design.Based on the feedback provided by the first cohort of students to receive this project, the nextoffering of the project will have students present a rough draft of their curriculum in class atmidterm to receive feedback from their peers. Each student will then also participate in amidterm interview with the instructor to discuss how to incorporate that feedback in their finaldeliverable. The authors hope these changes will help students make further progress on theircurriculum design, but also provide the students additional opportunities to reflect on and learnfrom the curriculum
Engineering Technology, the careeris Engineering” trademarked by the American Society for Engineering Education reflected thetypical experience of ET graduates. However, despite these and other efforts to assert that ETis a separate but equal, less mathematically rigorous, more practical pathway to a traditionalengineering career, this messaging is often inconsistent with the reality of opportunities andadvancement in college and after graduation. Many employers do not hire ET graduates forengineering positions for a variety of reasons, including a lack of familiarity with the preparation 1and qualifications of ET graduates, and the tendency for many employers to still associate ETwith a two-year
majorityof respondents rating it as "Very Well" or "Extremely Well." This reflects an elevated level ofsatisfaction with the AI’s ability to streamline and refine lecture content, removing unnecessaryelements such as pauses and distractions. However, a small group of the participants rated thisaspect as "Well," suggesting some room for improvement in content refinement.(c) Utility of Final Segmented Lecture ProductWe noticed a wide variation in the responses to the question of the utility of the final segmentedlecture which was one of the products of Transcriptto. One participant rated the product as notvery useful, but a majority of the respondents did find the product to the somewhat useful to veryuseful. The focus group data were used to
speeches. It involves analyzing a speaker's tone, pitch, tempo, andvolume to determine their emotional state. This process is complex as it requires not only wordrecognition but also an understanding of the delivery that reflects various emotional states [1].In utterance-level SER, emotions are classified for an entire spoken utterance, typically acomplete thought or statement. Here the emotions are considered as attributes of the wholeutterance, disregarding the temporal variations within it. The goal is to identify the dominantemotion conveyed in the utterance.Frame-level SER delves into a more detailed analysis by breaking the speech into smallersegments, often milliseconds long [2]. This approach allows the detection of emotional changeswithin
requirement for all students in the program, students will consider thecollapse of the skywalks in the Hyatt Regency in Kansas City, MO in a module similar to the onedescribed by Bottomley [12]. In Internship Reflection, students are equipped to seek discernmentof vocational plans based on their internship experience, the readings and discussions throughoutthe semester, and alignment with their personal values, beliefs, and goals. The aforementionedvirtue ethical theory helps students connect what they want to do with who they want to become. Shared Curriculum Engineering Major Core 150 Required for all students Statics Required Core 250 Required for
contexts is in generating the correct prompt, to assure that the technology willrespond as expected by the teacher. Prompt engineering can be described as a combination of AI,linguistics, and UX [18]. One of the possible frameworks to craft efficient prompts is CLEAR, a5 components model depicted in Table 1, that stands for Concise, Logical, Explicit, Adaptive,and Reflective [19].Table 1. CLEAR framework for prompt engineering Model Component Description C Concise Prompts must be short and have clarity on what they state L Logical Prompts must be structured and coherent E Explicit Prompts must clearly specify inputs and outputs A Adaptive
situations also improves, which is importantto developing students’ problem-solving repertoire. One study found that the general learningenvironment is also enhanced whereby instructors’ close interaction with students allow them tobetter pinpoint where weaknesses in student learning of course content lie [7]. Other benefits of oral assessments are that they may better reflect professional situationsthat students will encounter after graduating, such as job interviews where they must verballycommunicate ideas [4]. In this sense, oral exams may add depth to the range of communicationskills acquired by undergraduates [3]. They can also provide the opportunity for increasedinclusivity in the assessment process. A study showed that students with
students’ navigational capital, and researchers’ schema development through the peer review process. Dr. Benson is an American Society for Engineering Education (ASEE) Fellow, and a member of the European Society for Engineering Education (SEFI), American Educational Research Association (AERA) and Tau Beta Pi. She earned a B.S. in Bioengineering (1978) from the University of Vermont, and M.S. (1986) and Ph.D. (2002) in Bioengineering from Clemson University. ©American Society for Engineering Education, 2024 Work In Progress: An Exploratory Study of Appalachian Students’ Quest for Success in Undergraduate Engineering ProgramsAbstract This work in progress paper reflects
comments, that higher valueassigned to the embedded course appears to have arisen from multiple reasons. Students valued learning the differences between technical writing and generalwriting. After years of taking general writing courses, engineering students appeared to havea need to receive formal training and feedback on how to write as an engineer. Positivecomments about the embedded course reflected that need: “[the course] showed me thedifference between the way that writing was taught to me my who life and how technicalwriting should look,” “[the course] showed me that [technical writing] isn’t so easy that youcan just do it without learning about it,” “[the course] was very different than othertraditional writing courses,” and “[the
engage in those reflections needed to evaluate complex situations, which often involve socio-economic and political considerations. Case studies have been shown to be an effective way to do that, and an effective case study allows students to go beyond the simple facts of the case by looking at laws past and present, historical context, and current practice and lead them to make informed decisions [16]. This process not only enhances their analytical abilities but also encourages them to explore new dimensions of the engineering practice, facilitating that much needed shift to a more equitable and socio-centered engineering practice. This broader perspective encourages students to consider the
%, respectively (ASEE,2019). The U.S. Bureau of Labor Statistics (2019) projected higher job growth for computationalroles (12%) compared to mechanical, electrical, and computer hardware engineering (4-6%).Reflecting this demand, computer science and computer engineering faculty emerged with thehighest salaries in academia, surpassing their engineering counterparts (ASEE, 2022).These disciplinary distinctions permeate beyond academic and professional spheres, influencingsocialization, enrollment, and persistence, and carrying significant implications forunderrepresented groups. Hocker and colleagues (2019) pinpoint challenges in academiacontributing to a noteworthy doctoral dropout rate in engineering, particularly impacting womenand URMs. The prevalence
the survey accurately reflects the GTAexperience and captures the dynamic educational environment they contribute to, aiming for aninclusive and comprehensive evaluation.3.2.1 Pre- & Post-Semester Assessment SurveyThe study commenced with a pre-semester survey designed to establish a baseline understandingof GTA’s' skills and perspectives before their active involvement in the service-learning program.The skillset gauged is listed in Table 1. Administered through Qualtrics, this survey played apivotal role in assessing the initial skill set and expectations of GTA’s.The survey questions were carefully crafted to gauge their proficiency and mindset, setting thefoundation for subsequent comparative analyses with post-assessment data. By
their survey responses by answering thefollowing questions:1. Can a predictive model be trained on the survey responses with sufficient accuracy compared to the baseline (in this case 50% for a binary classification) in classifying student GPA groups as TRUE or FALSE?2. If the answer is yes to question 1, does the model trained only on pre-intervention action state surveys have quantifiable levels of difference in accuracy when tested on the post- intervention responses? 3. If the answer is yes to question 2, is this difference in accuracy reflected in explainable and modest changes in false-positive ratios between the models trained and tested on different populations?To start answering these questions, we need to be able
students’ and professors’ feedback. Hence, three data collection tools allowed thedefinition of the key instruction strategies to enhance the academic performance of the students.The findings of an open survey, a structured survey, and a Test of Felder applied to threedifferent samples, reflected the students’ perceptions, which were analyzed and adapted todeliver the course syllabus.. The survey sample included students officially registered within thecourses of the construction area in the school of civil engineering.. First, the open surveycollected the preferences and suggestions of the students with respect to the methodology that Page
female than male students reported havinglaboratory experiences. The most significant predictors were the correlate KSA scores betweenlabs and what students wanted to learn (p = 0.14), student preference to work alone or in teams(p = 0.14), and student desire to work with live animals or perform animal surgery (p = 0.16).Each of these makes intuitive sense in a BME lab setting. A better match between laboratory andstudent interests, at any educational level, lends itself to success. Given that most researchlaboratory settings are inherently team-based, a desire to work in teams rather than alone alsomakes sense. That a student desire to work with live animals was a negative predictor may either(a) reflect the fact that the majority of
difficulty estimates ranged from.13 to .94. We find these initial reliability statistics very good given the short scale.Validity Results for Construct M2No correlation coefficient was greater than .11 when studying Construct M2 with the externalcriteria. This pattern of correlation coefficients suggests that Construct M2 is representing a latenttrait that may not be reflected in engineering coursework. Further, the pattern of results is differentthan that observed for Construct M1. We did compute the Pearson correlation coefficient forscores representing both M1 and M2. The degree of association was .44. While this value doessupport a significant relationship, descriptively it is only moderate. As such, it appears that there isevidence to support
is an impossible topic tomaster. The current method of teaching analog circuits focuses on procedural, quantitative andanalytical methods to describe individual circuits 2.According to3, there are four types of learners: Type 1(concrete, reflective)-the diverger; Type2(abstract, reflective)-the assimilator; Type 3(abstract, active)-the converger; Type 4 (concrete,active)-the accommodator. Traditional science and engineering instruction focuses almostexclusively on lecturing, a style comfortable for only Type 2 learners. Effective instructioninvolves teaching all learning styles–motivating each new topic (Type 1), presenting the basicinformation and methods associated with the topic (Type 2), providing opportunities forpracticing the methods
footprint compatible with roof terraces in the developing world. It uses a reflective trough of aluminum sheeting formed by a simple wooden truss, covered with 99% reflective Mylar to focusFigure 2: 2m Wind turbine with flexible blades sunlight onto copper tubes that form the heatingin wind tunnel testing element of a gaseous heat engine. System analyses came to the conclusion in Spring 2010 that for the operating temperature range and safety constraints of the device, an open-return air
social justice issues, an important aspect of the engineering field. Engineers make decisionsthat affect societies. They must understand the impact these decisions have and carefullyexamine their own motives as well as those of their superiors. Exposing students to pedagogiesof liberation encourages them to claim responsibility for their decisions and to see themselves asco-teachers in a community of scholars15. Critical thinking and reflective action16 are aspects ofethics. These are also the outcomes of pedagogies of liberation. Students who are taught fromthis perspective not only learn to think ethically but also to act ethically.How to Teach with CasesHerreid13 stated that the use of case studies in teaching could be classified into four
Inventory Report, will help the student engage in reflection inorder to determine what sorts of situations the student might find ethically challenging. Thestudent will then develop a personal plan (Adaptive-Strategies Report) addressing what strategiesthey might use in order to increase the likelihood that they will act ethically in challengingsituations (that is, the situations arrived at while developing the Personal Inventory Report). TheAdaptive Strategies Report will help the student: 1) recognize when an ethically challengingsituation; and 2) act ethically in ethically challenging situations (that is, apply the strategiesdeveloped for the Adaptive-Strategies Report). The products of this exercise – PersonalInventory Report and Adaptive