Design and Development: Framing Engineering as Community Activism for Values-Driven Engineering”; Co-PI of NSF CISE ”EAGER: An Accessible Coding Curriculum for Engaging Underserved Students with Special Needs in Afterschool Programs”; co-PI of NSF INCLUDES: South East Alliance for Persons with Disabilities in STEM, Co-PI of NSF CE 21 Collaborative Research: Planning Grant: Computer Science for All (CS4ALL)). Dr. Marghitu was also PI of grants from Center for Woman in Information Technology, Daniel F. Breeden Endowment for Faculty Enhancement, AccessComputing Alliance, Computer Science Collaboration Project, Microsoft Fuse Research, Altova Co., and Pearson Education Publishing Co. Dr. Marghitu has mentored over one
analyzing theirfailures and how they respond to those failures. We will explore expanding the Failure Mindsetsurvey to incorporate existing surveys designed to assess risk tolerance, and survey allparticipants at the start and end of each semester. We plan to collect data on the first open-endedquestion at the start of the semester and develop a coding system to systematically score thesequalitative responses.References[1] Psychology today staff, “Growth mindset.” Available at https://www.psychologytoday.com/us/basics/growth-mindset (Accessed Aug 14, 2023).[2] KEEN, “The KEEN framework - providing learning outcomes for students.” Available at https://engineeringunleashed.com/framework (Accessed Aug 14, 2023).[3] KEEN, “Entrepreneurial mindset
project so far, and the plan for the next week. Reportsare sent to all faculty mentors at least 1 hour before the meeting. At the meeting, one representativeof each project gives a short verbal report addressing problems, breakthroughs, and the state of theproject. The faculty found this format to be successful because students get to know all the programfaculty since they are all engaged with all program projects. In addition, the same format is adheredto in the Senior Design Project course. Furthermore, all student participants are required to presentposters and PowerPoint presentations at university-wide STEM research symposia that areorganized every semester.Project History The eVTOL UAV project theme started in 2014 when a student
up when done on an industrial scale. For me, this highlighted a need to consider sustainability and emissions in all designs and solutions that I create. In addition, I am planning to begin my master's degree in mechanical engineering in the fall, and having experience in conducting research will benefit me greatly as I enter a research-oriented graduate program.”As an educator evaluating student learning outcomes, nothing more than seeing how students feel confidentabout their knowledge and excited to put their skills and tools to use at the first possible opportunity isreflecting that we are contributing to workforce excellence in the 21st century.5. ConclusionIn conclusion, manufacturing engineering and
) coordinates, along with a presence value. Allfeatures scaled to the [0,1] range, resulting in a total of 91 normalized affect features. To enablereal-time prediction of user-specific performance, the system undergoes initial tuning. Duringinitial interactions, sequences of affect features and corresponding scores are collected. If theseinteractions take the form of lessons, the student's video is segmented into sequences,delineated by in-lesson assessments. Affect sequences and scores are used to tune theperformance predictor, and we plan to both train and test Transformers, Recurrent NeuralNetworks (RNN) and Long Short-Term Memory (LSTM) models. After adequate tuning, theperformance predictor becomes operational in subsequent sessions. Consequently
encouragestudents to discuss their predictions of what will happen with their peers, rather than justanswering with iClicker, as this has been shown to further improve student learning [8, 14].Lastly, we plan to reshoot some of these videos utilizing best practices to improve theireffectiveness, such as showing demonstrations from a first-person perspective [14], writing outkey information as the demonstration is given rather than just displaying it [15], and focusing onvisual tabletop demonstrations [16]. We believe that these changes can further improve thequality of demonstration videos to improve the overall educational experience of our students byproviding high quality, exciting demonstrations to them in a course where they previously didnot have
Systems and ECE500 Introduction to Advanced Microcontrollers.Nathan George, University of Louisville Nathan George is currently a junior level undergraduate student at the University of Louisville studying computer science. His academic interests include artificial life, automation, real-time simulation, and user experience.Prof. Dan O Popa, University of Louisville Dan Popa has over 30 years of research experience in robotics and automation. He is currently the Director of the Louisville Automation and Robotics Research Institute (LARRI) at UofL and the Head of the Next Generation Research Group (NGS). His early research work included adaptive force control and motion planning for nonholonomic robots. In 1998, he
, “He made a comment about how I would only be successful in thecareer just because I am the diversity quota, and that all the things that [I had accomplished]... isjust because they needed the diversity person.”Beyond facing challenges in interpersonal interactions with peers, participants identified hurdlesrelated to the structural and cultural domains of power. Kalani and Diana struggled to transfercollege credits into the university’s degree plan. Diana felt dismissed by advisors, and struggledto belong in her major. She later found an advisor who supported her success and helped herswitch to a different computing major, Yet, her experiences in computing did not changesignificantly. Rather, Diana expressed the continual pressure to fragment
about post-high school plans. The pre-and post-surveys asked participants about their career interests or anticipated majors.Parts of the Knowledge, Awareness, and Motivations (KAM) survey tool were modified toevaluate awareness, exposure, career interest, and motivations. The KAM survey is a modifiedversion of the Motivation and Exposure in Microelectronics Instrument [6], an instrumentderived from the Nanotechnology Awareness Instrument [7]. The instrument was initiallydeveloped to assess changes in awareness, exposure, motivation, and knowledge ofnanotechnology [7]. To measure students’ self-efficacy and career outcome expectations, weadministered a modified Social Cognitive Career Theory Survey (SCCT) [8]. TheMicroelectronics SCCT Survey
administering a survey at the end of the course. This survey wasadapted from the nanotechnology awareness instrument originally developed by Dyehouse et al[17]. Specifically, we focused on the exposure and motivation scales of this instrument, designedto assess students' levels of exposure to and motivation for learning about nanotechnology. Toalign it with the context of this paper, we substituted the term "nanotechnology" with"semiconductors." The concept of exposure relates to activities that students have activelyundertaken, such as reading about semiconductors while the concept of motivation aims tocapture the types of future studies or work related to semiconductors that students plan to pursue.The rationale to utilize this existing instrument
education cansignificantly enrich the learning journey for students by providing immediate assistance,swift access to information, and customized learning materials tailored to their requirements[22]. The utilization of chatbots has been evidenced to enhance students’ engagement,elevate learning outcomes, and streamline administrative processes within educationalinstitutions [23]. The transformative potential of chatbots in educational settingsunderscores the value of integrating this technology to benefit students. Our futureendeavors will focus on harnessing chatbot technology to enhance student engagement andimprove learning outcomes. We plan to collaborate with educators and students to codesignchatbot functionalities that cater to diverse
faculty about how the students contributed. In future work, we hope toobserve both the main Team Y meetings and the student project meetings. As we conduct moreobservations, we will look for more instances when the assertion of power-over and the sharingof knowledge with the students helps to bolster the students’ ability to engage in researchactivities. We will also look to see how the student researchers share their unique insights andcontribute to the team’s research efforts. We plan to conduct ethnographic interviews of thestudents and their faculty advisors. These interviews will allow us to capture how the studentsand faculty made meaning out of the expressions of power within their team’s culture. Inparticular, we want to understand how
) – the perception of negative effects of ChatGPT on an individual level as well as a societal level, e.g., “Using ChatGPT is harmful to people.”The trust and ethics items (fully listed in the results section) were written by the research teamfor this study. Each trust question was framed as an objective judgement, as follows: “What isthe likelihood, on a scale of 1-100 (where 1 is extremely unlikely and 100 is extremely likely),that ChatGPT will return a correct answer to the following prompt?” The ChatGPT prompts werebased on planned applications in the first-year engineering course as well as potentialapplications in the engineering profession. Researchers intentionally selected tasks for whichChatGPT was unlikely to return a
, ournext steps are to develop an action plan that gives voice to counternarratives and brings truthsabout student experiences to the forefront of departmental decision making and climate work. Inthis way, we will create social justice action from the applied research effort we report at ASEE.Some possible mechanisms for creating dialog with faculty in computing at the universityinclude a) sharing current counternarratives with faculty with opportunity for discussion in afaculty meeting, b) proposing communications changes to departmental staff and leadership toclarify opportunities in the CS department, and c) developing student climate survey instrumentsthat relate to concerns demonstrated in counternarratives. We recognize issues of power
that did not receive training. We plan to complete future work tocompare cohorts with and without training more rigorously to see if we still observe the impacton troubleshooting ability.Furthermore, during the hands-on exercise students demonstrated use of a variety of differenttroubleshooting strategies, suggesting that the teaching modules had an impact on learning.Additionally, the hands-on exercise revealed information about the students’ level ofunderstanding and comprehension, suggesting its potential as an alternative to written exams forassessing conceptual knowledge and lab proficiency. These findings suggest the efficacy ofstructured training modules in improving students' troubleshooting skills and conceptualunderstanding
work and find classes tobe more useful [3]. ESE is also integral for the entry into engineering programs and thepersistence to continue [4]. EJ is an individual’s capacity to determine and execute tasks that willhave a predicted outcome [5, 6]. When engineers work in the real world, many times projectswill require the engineer to come up with solutions which cannot be found inside of codes ormanuals. When following a structural engineering firm, the engineers were able to analyzebuilding plans and make changes to designs based on previous knowledge [7]. An engineer maybe an expert when using codes and references but cannot be a competent engineer if lacking EJ[8]. During an engineering student’s curriculum, EJ should be developed incrementally
practices (student-focused), student-teacher interaction (teacher-led),student-teacher interaction (student-led), instructional technology, and potential cognitivedemand. For this study, we will consider the first two dimensions of the protocol, which focuseson teaching methods and activities. We plan to observe each class at least four times in thesemester. In addition to TDOP protocol dimensions, we will collect field notes to report anyover-arching incident or activity in the classroom. Observation training is a mandatory requirement for using the TDOP protocol [33]. Thetraining process involves a thorough review and discussion of selected codes. For this purpose,observers will be trained on the protocol using existing recorded accounts of
time-management skills.Moreover, our findings suggest a potential bias related to instructors regarding the sufficiency ofmeeting time, indicating that longer durations may potentially enhance student comfort. However,it contradicts with students reporting satisfaction in covering all topics of interest duringmeetings. Additionally, the instructor with the shortest meeting duration noted that often studentsfinished discussions before the allocated time ended.For the next phase of our work, we intend to shift the mentoring meetings to a small group format.Additionally, we plan to distribute surveys once more to gather feedback from students.In the broader scope, our long-term strategy includes expanding the study by incorporating morefaculty
of engagement leads to deeper learning [10]. • Don’t limit the content to the current course – pull concepts from prerequisite courses. • Aim for two or more per week – students tend to ask for more as they get used to the Rapid Reviews.Next StepsThe authors plan to continue to refine their use of Rapid Reviews in the following ways: • Qualify the impact of Rapid Reviews based on a survey of the students. The authors acknowledge that quantified results would be better. However, MSOE is a small private institution that is primarily focused on undergraduate engineering education. Therefore, the population size for gleaning information from quantified survey results is limited. • Form a list of best
studentcompletion of tasks [21].In computer science, we often ask students to build larger programming projects over the span ofdays or weeks. As teachers, we know that students do not always have the skills to project andtime manage themselves well on these larger projects. Additionally, we know that trying toestimate how long it takes to plan, program, and test software projects is hard [22] and evensoftware organizations in industry find it challenging to deliver software on time [23]. To helpscaffold students on these larger projects, teachers often break projects up into milestones orseparate gradable deliverables.Benefits of Milestones in Programming ProjectsBy breaking these larger projects into distinct milestone assignments, teachers can more
the project as a paid researchinternship and the community college faculty instructor who mentored the project was alsocompensated. The current grant is due to expire in May 2025. There are plans to re-apply foranother cycle of three years, in addition the college is exploring ways to institutionalize differentcomponents of the program with an emphasis on finding funding sources for undergraduate studentresearch experiences. One of the major programs that will be utilized to help with the fundingendeavor is the MESA (Mathematics, Engineering, Science, Achievement) program that has beenrecently codified into California Education Code, SB 444. For students that don’t qualify forMESA, there are opportunities to utilize funds from other state
our applications of the categories. After three rounds of codebookiteration, the exact match between the two raters’ codes is 73% and the Cohen’s Kappa score is0.46, indicating moderate agreement (Blackman, N. J. & Koval, J. J., 2000). For the resultsreported in this work-in-progress paper, the raters came to consensus on all the turns of talkwhere our codes disagreed. For future work, we plan to continue to refine the codebook until wereach a Cohen’s Kappa score of 0.8. The final codebook will then be applied to the remaining 26transcripts. Findings Our analysis allowed us to characterize two kinds of marginalizing moves (interrupting and taking up disproportionate space) and three kinds of inclusive moves (encouraging sharing
the center of the diagramrather than placing it within a specific category. Clearly, participants believe it fits in more than onesection of the activity system.However, there were a few professional skills that were connected to specific aspects of project teams.Public speaking was repeatedly connected to presentations that were required either for competition orinternal review. Meanwhile, organizational management was connected with organizing subteam workand planning meetings for project team members and networking was connected to working with industrypartners and alumni. All of these aspects provide insight into how specific professional skills are beingdeveloped on project teams.Some of the elements of project teams that students
Paper ID #43336Assessment and Impact of a Clinical Observations and Needs Finding Courseon Biomedical Engineering Education OutcomesMs. Jacquelynn Ann Horsey, University of Arkansas Jacquelynn is an undergraduate student in the Department of Biomedical Engineering.Thomas Hudnall McGehee, University of Arkansas Thomas ”Hud” McGehee is an undergraduate student in the Department of Biomedical Engineering. While Hud’s primary research focus is on nanocomposite biomaterials for orthopedic applications, engineering education prevails as another area of interest. Hud plans to pursue higher education by utilizing his engineering
Preuss, EdD, is the Co-founder and Lead Consultant for Exquiri Consulting, LLC. His primary focus is providing assistance to grant project teams in planning and development, through external evaluation, and as publication support. Most of his workDr. Matthew Lucian Alexander P.E., Texas A&M University, Kingsville Dr. Alexander graduated with a BS in Engineering Science from Trinity University, a MS in Chemical Engineering from Georgia Tech, and a PhD in Chemical Engineering from Purdue University. He worked for 25 years in environmental engineering consulting befMr. Rajashekar Reddy Mogiligidda, Texas A&M University, Kingsville Rajashekar Mogiligidda is working as a Lecturer in the department of Mechanical and
-routinized plans for mathematical education. students make and the need for problem-solving. flexibility in problem-solving. [46] Student-generated everyday examples Identified codes related to vector Limited direct relevance to for basis and their use of metaphors relations and characteristics in engineering students; more like travel and building in everyday examples. suited for mathematics understanding vector spaces. education. [47] Student reasoning about linear Identified hub concepts like More applicable to
education, STEM education, and educational psychology. She has also served as a PI, co-PI, advisory board member, or external evaluator on several NSF-funded projects. ©American Society for Engineering Education, 2024Exploring Intervention Research in Statics Courses: A Systematic Review ofASEE Publications from 2013 to 2023AbstractStatics is a foundational subject for many engineering students, exposing students tomathematics and physics of design and planning settings, which is vital for mechanical, civil,and aerospace engineers. This study systematically collected, analyzed, and reviewed the mostrecent 10-year ASEE conference papers about interventions in Statics courses. A total of 37papers were selected
College Student; and Second-LanguageEnglish Speaker. The survey also captured Gender; Sexual Orientation; Ethnic and Racialidentities, using National Institute of Health (NIH) definitions for gender, orientation, ethnicityand race. All identity dimensions included an option to “decline to answer,” and it was rarelyused. The fine-grained approach to demography here was in part motivated by plans to scale thesurvey instrument to a much larger project that leverages key Sociology expertise by members ofthe research team.d. Proximity to VeteransProximity to veterans correlated with the respondents’ personal connections to veterans.Respondents identified their immediate family contacts as well as their distant family oracquaintances. The data also