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
reflect the demographics of the College of Engineering, which the students attend. It was also noted that although these teams recruit at college-wide events, they are still predominantly comprised of white male students who already have pre-established friendships or connections.Opportunities for Growth auter et al. [21] have found that there is potential for team learning despite these setbacks.RShepherd et al. [22] emphasize this point by highlighting the importance of directing attention and resources to the setbacks of project team members to maintain the group’s cohesion and morale while encountering challenges during the design process. his paper, herein, considers students’ challenges and negative
behavior, such as littering ordisregard for the plants in the park. It is more difficult to see the possible motivations behind positivebehavior. I assume that most humans are refreshed by and enjoy communing with nature. The Sörqvistarticle suggests there is a certain amount of "eco-guilt" on people who knowingly cause harm to theenvironment by their choices [4]. People may feel a moral imbalance, and their response to it may be todo pro-environmental activities to compensate.Through this activity and other sustainability readings, I take a deeper look at my behaviors and theirimpact on the environment. It takes a conscious effort to look at daily activities and choices ofconsumables that meet the basic needs for life and reflect on the
Press, 3175 Princeton Pike, Lawrenceville, NJ 08648.2. Kolb, A.Y. and Kolb, D.A., 2005. Learning styles and learning spaces: Enhancing experiential learning in higher education. Academy of management learning & education, 4(2), pp.193-212.3. Andersson, A. and Kalman, H., 2010. Reflections on Learning in Interdisciplinary Settings. International Journal of Teaching and Learning in Higher Education, 22(2), pp.204-208.4. Nickel, A.M., Farrell, J.K. and Domack, A., 2016, June. Science Fiction Literature Crossed with Nanotechnology: How Experiential Learning Enhances Engineering Education?. In 2016 ASEE Annual Conference & Exposition.5. Nickel, A.M., Farrell, J.K., Domack, A. and Mazzone, G.E., 2018, June. Measuring
error for each datapoint reflects the heterogeneityof cells (Figure 5). Dead ReNcells are spherical, displaying little heterogeneity in morphology. Sincethese NSCs are dead before the buffer washing process, surface proteins and ion channels are similaracross these dead cells which is reflected by the smaller standard error bar. As for live progenitor cells,they exhibit a higher standard error due to the environmental stress they experience during bufferwashes with NaCl concentrations.Figure 5. Electrophoretic mobility measurements of Live Undifferentiated ReNcell VMs and DeadUndifferentiated ReNcell VMs as a function of added salt concentration. The symbols represent the average of three experimental measurements.To
connecting with nature, staying mentally, physically, spiritually, and socially active, constantly learning and reflecting, and challenging himself to improve. He is interested in learning/teaching collectively, engineering philosophy, and social and ecological justice. His purpose is to help people freely and fully develop in a sustainable world. ©American Society for Engineering Education, 2024 Towards the Mycorrhiza Framework: An Engineering Education framework for Social and Environmental JusticeAbstractNature and people require a drastic change in how we educate engineers. Social andEnvironmental Justice should be a fundamental pillar in engineering education. Both
engineering ethics education, such as using technology adoptionscenarios and cases, fostering ethical awareness, and reasoning, and promoting a culture ofethical reflection and action.KeywordsTechnology Adoption, EthicsThe Scope, Scale & Pace of Technology AdoptionEngineers are deeply engaged in the “how” of technology – delivering new functionality tosociety through products, services, infrastructure, etc. Engineering students are burdened withthe acquiring the knowledge and skills to understand current technology deployments, whilepreparing for future technology developments. In an era of increasing technology specialization,engineers, and engineering students are confronted with an ever-increasing volume oftechnological advances. The ASEE
and organizations to mutually reinforce transformation toadvance science and serve society. The initiatives recognize various identities or terms like“underrepresented groups” (URG), “underrepresented minorities” (URM), or “broadeningparticipation” should include representations of race, ethnicity, gender identity and genderexpression, persons with disabilities, neurodiverse persons, and members of theLGBTQIA+ community to reflect the true richness of our society when it comes toequality, diversity and inclusion.The ETS and GRE (Graduate Record Exam) programs [4] have developed guidelines tofacilitate institutions’ holistic admissions processes. The recommended admission processincludes the following steps: setting a timeline and goals for
to the NSF. At this point in the process we need you to think about the steps it would take for you to form your own S-SEM project. As you think about this process, prepare to answer these following questions: 1. What strategies would you use to identify partners? 2. What goals and interest would you share with your partners? 3. What resources would you share? 4. What other information do you need? If you desire additional resources around reflecting about partnerships or with partners, please see Appendix B in this open access journal article: https://doi.org/10.1002/jee.20403Research Methods: Descriptive Case StudyA case study is a research design methodthat involves collecting data from a specificsubject.A descriptive case
workplace. The full analysis of the larger study, which includes both quantitativeand qualitative data, was published by Henley, Lucietto, and Peters4. Therefore, this documentwill not replicate the full analysis, but will instead focus on key findings and references toanswer the research questions presented here.The researchers utilized an abbreviated Content Analysis of data that supports responding to theresearch questions. Further analysis found that the data reflected 4 areas that supported theresponse to the questions and provided a greater understanding of what the collectiverespondents were sharing with them.FindingsThe research questions in this paper are answered in accordance with the available data on eachrelevant topic. The data
-world engineering challenges in robotics. • Weekly Quizzes (20%) – Weekly quizzes assess the students’ grasp of the theoretical content covered during lectures. These quizzes ensure that students are internalizing AI/ML concepts, such as supervised learning, neural networks, and reinforcement learning, before applying them in lab projects. The quizzes will test students on key AI/ML concepts and their ability to apply them to engineering problems in robotics. • Final Report (20%) – The final report requires students to reflect on their overall learning experience in the module, focusing on the AI/ML concepts learned and how they were applied in lab projects. Instead of repeating lab details
physical problems that piqued their interest, students werechallenged to creatively simplify these challenges to accommodate the finite element techniquethey had acquired. The limitations imposed by the academic version of ANSYS Workbench furthernecessitated innovative problem-solving and critical evaluation. Aligned with Bloom's taxonomy,the course curriculum was designed to foster a comprehensive learning experience. As illustratedin Figure 1, various assignments, ranging from lectures and videos to quizzes and in-class activities,were strategically mapped to different levels of Bloom's taxonomy, from passive learning to higher-order thinking skills like reflection, synthesis, and creativity Figure 1 The relationship between
) idea is used in mathematics education as a part of theundergraduate curriculum in [19] for the first time during a study on students’ conceptual view ofthe function concept. APO is extended to Action, Process, Object and Schema theory (called APOStheory) in [21] to understand students' function knowledge. APOS theory is explained as thecombined knowledge of a student in a specific subject based on Piaget`s philosophy. APOS theorywas designed in [22] as follows: An action is a transformation of objects perceived by the individual as essentially external and as requiring, either explicitly or from memory, step-by-step instructions on how to perform the operation... When an action is repeated and the individual reflects
Assets + Non-currentAssets highlighted growth in digital infrastructure and investments in technology. Concurrently,our approach to managing liabilities evolved, resulting in a strategic reduction in TotalLiabilities = Current Liabilities + Non-current Liabilities. This reduction reflected improveddebt management and a shift towards more sustainable financing methods. Equity, calculated asTotal Equity = Assets - Liabilities, saw a substantial increase, indicating a stronger ownershipposition and enhanced financial stability within the company. These developments underscorethe role of digital transformation in strengthening our financial foundation. © American Society for Engineering Education, 2024
. 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