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
. Figure 3. Key Elements of CEM Senior Capstone DevelopmentThrough this course development process, several key characteristics that define the success ofCEM capstone course have been identified, including: • Integration of Multidisciplinary Concepts: The course is structured to address a wide range of concepts and practices, including project planning, scheduling, budgeting, risk management, sustainability, and stakeholder coordination. This interdisciplinary approach reflects the multifaceted nature of construction projects in the real world. • Focus on Practical Application: Students are tasked with applying their acquired knowledge and skills to address complex challenges within the construction industry
(Finance Technology Option) from the Massachusetts Institute of Technology, and four degrees from Columbia University: an M.S in Anthropology, an M.S. in Computer Science, a B.A. in Mathematics, and a B.S. in Applied Mathematics and Physics. Hammond advised 17 UG theses, 29 MS theses, and 10 Ph.D. dissertations. Hammond is the 2020 recipient of the TEES Faculty Fellows Award and the 2011 recipient of the Charles H. Barclay, Jr. ’45 Faculty Fellow Award. Hammond has been featured on the Discovery Channel and other news sources. Hammond is dedicated to diversity and equity, which is reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu and http://ieei.tamu.edu.Dr. Vimal
, this diversity arises from the need to tailor the introduction ofmechanical engineering concepts to specific program requirements, instructional settings, and thecharacteristics of the incoming cohort of first-year students.Understanding freshman retention rates is crucial in unraveling the diverse outcomes of first-yearstudents pursuing mechanical engineering degrees. An often-quoted statistic is that fifty percentof engineering majors either drop out or change majors before graduating [1]. Given thesestatistics, freshman retention rates can serve to evaluate the effectiveness of educationalprograms, reflecting the intricate challenges and strengths unique to each institution. Accordingto the Arizona Board of Regents of several Arizona
debrief and reflection. By experiencingmultiple live ACLs and follow-up discussions, the participants gained an appreciation for thepre-course preparation necessary, the length of class time necessary, and an idea of whichtechniques might work (or not work) for them. One thing to note is that, just like our students,faculty may tend to look ahead at class material. For this reason, the facilitators used a “just intime” method to release notes and handouts.4. TemplatesTwo types of templates were distributed to and used by the participants. The first was a fillabletemplate that contained all the elements of a well-structured ACL that aided in determining thetime allotted for the module, team size, student deliverables, assessment technique, etc
in the first coding cycle [12], analyzingthe data for relevance to the research questions. The second and third coding cycles progressedbased on analyzing data for connections to the proposed theoretical framework. The resultingcodebook was developed by the autoethnographer in consultation with the research collaboratorfor confirmation of emerging themes, sensemaking, and suggestions for additional probing.Part of the analysis journey also included reflections on the autoethnographer’s transitionalexperiences outside those articulated during the interview. These reflections are recorded inanalytical memos written throughout the analysis process, starting from interview transcription.This additional data allowed the researchers to explore in
as men, 31% identify themselves as women.Faculty participation varied across departments. For instance, the Civil and EnvironmentalEngineering department had the highest participation (21%). Participation was moderate inBioengineering (7%). Participation was less in Physics (3%). There is no participant fromChemical Engineering. It is important to note that the demographics of survey participants donot reflect the overall demographics of program participation by gender, departments, andother categories.Findings and DiscussionMost engineering faculty members are highly engaged in their teams’ education-innovationprojects.Based on the faculty survey, the application process is considered highly accessible, and thefaculty believe the proposal
,“Assignments explanations” emerged as a recurrent theme in the human-generated codes, thoughin a slightly varied form in the generated codes. The GAI method consistently reflected athematic focus on “Feedback” with several sub-topics identified under this umbrella, includingfrequent and timely feedback. Upon reviewing the labels generated by the generative model,frequent labels were assigned to a main topic. Subsequently, the process of developing thesemain topics entailed utilizing GPT-3.5, with humans reviewing the main labels to ensure theiraccuracy and alignment with the original labels. The main topics from questions 1 and 2 arepresented in Table 2.Table 2. Main topics for Q1 and Q2Q1 Main Topics (n=8) Q2 Main topics (n=9)Online
throughthe EDIL Survey, reflecting a comprehensive understanding of inclusion within academiccommunities. The components from SI suggest that inclusion has a multi-faceted understandingthat goes beyond just being present in a group, to include how one is perceived and valued by theinstitution and its smaller sub-communities. SI-1 also adopted the survey instrument, but theyonly used part of the survey, which focused solely on the engineering department. The reductionin the number of items compared to SI could imply a more streamlined approach to measuringthe sense of inclusion that focuses on specific aspects of inclusion.Psychometric Integrity The study utilized a variety of instruments with different dimensions to measureconnectedness and
, stickers, fun pens and pencils, etc. After this, there is another short lesson where theproposed questions are answered and the science behind it is explained. The students are thenencouraged to reflect and self-evaluate their own experience of the activity so they can determinewhy their solution to the problem did or did not work [5].An alphabetical, non-comprehensive list of activities put on by STEM 4 Kids is in the tablebelow. Activities are hyperlinked to web pages with instructions or to sources for purchasingmaterials, with the exception of the 3D Printing, which links to CSU’s Idea 2 Product Lab (I2P). Table 1: List of STEM 4 Kids Activities 3D Printing Apple-Powered Clocks
Scaling up Learning for Sustained Impact. Springer, 2013, pp. 314–327. [9] A. Bruckman, E. Edwards, J. Elliott, and C. Jensen, “Uneven achievement in a constructionist learning environment,” in International Conference of the Learning Sciences: Facing the Challenges of Complex Real-world Settings, vol. 7, no. 17. Psychology Press, 2013, p. 157.[10] S. Charleer, J. Klerkx, J. L. Santos, and E. Duval, “Improving awareness and reflection through collaborative, interactive visualizations of badges,” in 3rd Workshop on Awareness and Reflection in Technology-Enhanced Learning, 2013. [Online]. Available: http://ceur-ws.org/Vol-1103/paper5.pdf[11] J. Young, “Badges earned online pose challenges to traditional college diplomas,” The
when faced withcomplex problems they have to agentively solve, this shows that these students can successfullydo design work to frame and conceptualize large and difficult problems.There are several limitations to this work. The primary limitation lies in the differing number ofcredit hours between the two courses. This is reflected in students in the CCEE course havingmore accurate calculations when analyzing their data collected in the lab, and having moreprofessional presentation slides. However, these results show that even a 1-credit class allows fornuanced design work from first-year engineers. The sample size for this study is also relativelysmall, limiting universalizing due to small-scale statistics.AcknowledgmentsThis material is
challengeexternal and internal beliefs about racism, sexism, and classism [27][37]. Another studyexploring belonging in STEM and intersections of race and gender found students experiencedan increase in sense of belonging if they had relationships with faculty and peers in their major,confidence and interest in a major, and a strong science identity [28]. Additionally, women andstudents of color who decided to leave their STEM majors experienced a lack of relationshipswithin their department and low levels of science identity. Marginalized students in STEM alsoconsistently report an increase in belonging when their identities are reflected in their peers,faculty, and mentors [28][34][33].It is crucial students’ sense of belonging is a focus for engineering
other awareness is theability to understand the world of others. Perspective taking is the ability to adopt the viewpointof another. Emotional regulation is the ability to manage one’s own emotional response. Andlastly, mode switching is the task of applying analytic and empathic mechanisms at theappropriate times [6]. The next supporting area of practice orientation includes four components.Epistemological openness is the ability to value the experiences of others as important sources ofinformation. Micro to macro focus is contextualizing their work from effect on individuals toimpacts on global societal systems. Reflective value awareness is recognizing there are ethicalissues involved in engineering decisions and each engineer must
ethical dilemmas, and students had to dealwith factors such as working to deadlines, resolving disagreements, and continuously refiningsolutions. The author found that the “hands-on” and “real-world” situations that the role-playsituation afforded were particularly pedagogically valuable for engineering education students.In the realm of a computer systems analysis and design course in a New Zealand bachelorprogram, Erturk (2015) explored two class sessions that involved students producing Data FlowDiagrams and Activity Diagrams, where the intention was to demonstrate their analysis of asoftware “case” by constructing, reviewing, critiquing, and reflecting on the diagrams. The role-play dimension required students to explain and “act out” their
possible before attending the lesson. The same population improved enough toreceive satisfactory performance if it was a graded assessment, but the results are not wildlyhigher quantitatively than the initial lower performing groups. While it is difficult to discernstudent intent or motivations from the data, a possible explanation may be that high-performingstudents recognize the instructor emphasis reflected in the unique demonstration, and will engageclosely, rising to the academic challenge posed to them. The lowest achievers have the largestgap in knowledge, so increased contact time with the material combined with presentingknowledge in a more digestible and physical manner, i.e., incorporating new learning modes,helps those students make
interviews were semi-structured and lasted approximately 45 minutes. All interviews wereconducted via Zoom or in person and were transcribed by a professional transcription service.The interviews were aimed at uncovering differences that faculty had noticed in their coursessince the COVID-19 pandemic began. Interview questions (Table 1) were developed by theresearch team and were piloted for clarity. Participants were sent the interview questions prior tothe interview to allow them to gather class data and reflect on the differences beforehand.Table 1. Semi-Structured Interview Questions High-Level Interview Protocol 1. What differences have you noticed in teaching before, during, and after COVID? 2. Before COVID, did you notice any gaps in
scholars of color. Thequestions were carefully worded, asked in a specific order, and included probing questions toseek clarification and meaning. After the completion of each interview, the web conferencingplatform rendered a transcription. All recordings were permanently deleted once transcriptionswere reviewed and cleaned for errors and identifying information.Reflexivity and Positionality. Throughout the study, the research team practiced individual andcollective reflexivity (Patton, 2015) by reflecting on, setting aside, and discussing experiences,values, and beliefs related to the way in which university postdoctoral affairs offices can bettersupport engineering postdoctoral scholars of color both personally and professionally.Reflexivity is
environments, though experiences varied among students.Question 7: Many students agreed on the importance of engaging critically with AI content,stressing the need for discernment in using AI tools.The survey results reflect students’ opinions of the role of AI in EE education. While there is anacknowledgment of the benefits AI can bring in understanding complex concepts and creating adynamic learning environment, there is also a clear emphasis on the need for critical engagementwith AI-generated content. The data suggests that students are aware of the potential pitfalls ofover-reliance on AI and the importance of validating AI products. This highlights the necessityfor educators to balance the integration of AI tools with traditional teaching
simply going over the material. • It gives more societal worth as well as individual worth. If you reflect on event on a horrible tragedy of engineering done poorly, it gives you more worth and responsivity. • incorporating the history and background of a engineering principal can create a good foothold/base for any student to start expanding their knowledge of a said principle • I believe that being able to see the work of these individuals in front of me rather than in a textbook, as in through videos or interactive walkthroughs of their accomplishments in the field makes it much easier to visualize, therefore allowing me to be more interested as I see their work come to life rather than just be