the five hierarchical levels of the affective domain (seeTable 1 for details on hierarchical levels). Finally, participants were asked (Q11) which of thethree domains they preferred to learn with and why. It should be noted that this interview consistedof questions about all three domains, and the results were split into three papers to better emphasizethe findings related to each domain of learning. In this paper, we focus only on the affective domainof learning. Readers interested in understanding more about the research on cognitive andpsychomotor domain are directed to the other papers from this project [2-3].Q1: How do you perceive learning as a process?Learning is an integral part of our lives. Each one of us learns the same things
published in IEEE Transactions on Education, Journal of Science Education and Technology, and Studies in Educational Evaluation, among other peer-reviewed journals. His research interests include problem structuring, systems thinking, and creative ideation, with specific focus on undergraduate engineering education. Dr. Lavi is a member of IEEE and of the American Society for Engineering Education. During his time at MIT, he has obtained educational project grants from the Alumni Class Funds and from the d’Arbeloff Fund for Excellence in Education. He has also received several awards for his doctoral research, including but not limited to the Zeff Fellowship for Excelling First-year Doctoral Students and the Miriam and
. Finally, we pilot the forcebalance in an undergraduate mechanical engineering lab setting and find that students are able toexplore the setup, understand the load cell functionality, and use the system to measure drag on asphere. The force balance enables students to gain hands-on learning experience related to bothfluid mechanics and statics, and our user study shows that the force balance is durable throughclassroom use. The low cost, robustness, and high adaptability of the system makes it suitable forincorporating in multiple labs or for allowing student project teams to utilize the system in theirown experiments.1 IntroductionAccess to a wind tunnel enables students to gain real world experience with fluid dynamicsconcepts. This is
to(a) expert opinions and (b) real machine learning code relevant to Alaina’s Dilemma. First, theexpert opinions came from accessible public-facing news outlets that reported on the manner:MIT Technology Review [53] and The Lever [54]. Second, the machine learning code wasdemonstrated to the students during class. This was an end-to-end machine learning project [55],from downloading and cleaning the data to training and refining the model, which was modifiedfor students’ skill level by the instructor.Introducing outside perspectives and expert opinions helps induce “safe” conflict in the students’beliefs and perspectives. Here, they further learn to consider outside information in theirdecision-making process and that ethical dilemmas are
aforementioned digitalnote project. In total, students were surveyed three times across different semester checkpoints. Inthis paper, the following subset of open-ended questions from the later two surveys were selectedfor analysis: 1. Evaluation 1: What benefits do you see from using digital notes? 2. Evaluation 2: What complaints do you have for digital notes in helping you learn new materials? (or frame as how satisfied are you?) 3. Errors: What errors in the digital notes have you noticed after using it for the past weeks? 4. Satisfaction: How do you describe your experience of using digital notes as a whole? And how do you describe your experience of using certain features of digital notes? 5. Adaptation: Have you developed new
disagree 8 What additional support or resources do you think would be helpful for Text input students who are interested in using AI in their work? 9 Please share any other thoughts or experiences you have related to the use of Text input AI.Figure 1: Survey Instrument LogicThe survey instrument was made available to all first-year students (N=244) via in-classannouncement and on the learning management system (LMS). The script used during class andthe notice posted on the LMS are as follows:[Name of Instructor] is conducting a research project investigating the use of generative AI toolsin first-year ME courses. Here is the link to the survey which is part of the research project:[link to survey]Please note that your
problem-solving strategies rather than resorting to unethical practices such as cheating. “I believe over time it will replace many jobs such as journalism, story writing, coding, and others that primarily use language to complete tasks. However, for engineering specifically, I see it as an important aid in helping to determine root cause analysis for complex system where NDI is required or to cut costs on proof of concepts by being able to simulate things more accurately. But this is still at least four to six years away from being even remotely reliable for engineering information. Currently it's really only good for basic tasks or writing code, which writing code for a project using ChatGPT does save a tremendous amount
minimize the effects ofnegative social identification can provide socialization opportunities to students. Additionally,establishing self-belief in engineering students can be accomplished by socialization of students;allowing them to observe one another’s goal setting and accomplishing those goals will allowthem to model their behaviors after each other. Consider long-term, independent projects thatmodel professional projects which require incremental goal setting and accomplishments; oftenthese take place in capstone or senior design projects, but introduction to these types of projectsearlier not only expose students to various types of engineering careers, but also allow them toexercise self-belief in lower-stakes opportunities.Finally, one
, collaboration, time management, ethics andresearch integrity, analytics (e.g., data science/statistics), project management, and criticalthinking — faculty members were asked to rate from 'very important' to 'not important at all.'The results showed that 'very important' is the largest proportion for all qualities or skills.Additionally, faculty members mentioned various skills that they also consider important,including writing, marketing, hands-on experiences, entrepreneurial skills, networking, self-assessment, and independent research skills.When asked if they would like to encourage collaborative research between their PhD studentsand non-academic partners (e.g., an industrial lab), 78% of the participants provided a positiveanswer (see Fig. 8
interviews. The forensic activity was very interesting as well as beneficial to my future career. It provided me with experience that covered the entire range of a real-world engineering problem from start to finish. The first portion of the project - taking measurements of and analyzing a metal shaft - provided an opportunity to take what we had learned in the class on the theoretical level and apply it to a real life scenario. It taught us what kind of measurements are necessary to fully define a problem as well as what kind of techniques are best suited for taking those measurements. This helped us to visualize what is actually going
noveltechnical domain, nuclear engineering developed within a new organizational context [8].Previously, physicists practiced their research within university science departments, but with thedevelopment of wartime research efforts, such as the Manhattan Project, top physicists andengineers found themselves employed by government and military-funded research initiatives.Post-WWII, these government research efforts continued via the establishment of nationallaboratories. The first national laboratory, Argonne National Laboratory, cites its establishmentin 1946 as having the goal to perform “cooperative research in nucleonics”, another term used todescribe the field of ‘nuclear engineering’ or ‘atomic energy’ [9]. This time period was markedby specific
discussions and projects. We ask students to question the traditional classroom formatand infrastructure, including how STS instructors administer classes. Practicing in thecommunity are instances of student agency related to community-based course activities andoutside of courses, such as desires to change something about communities, the campus,engineering classes, and their lives in general. Agency to change communities involves skillsand aspirations to disrupt the status quo and ask critical questions of science and technology.Navigating constraints refers to performing agency in the real world and is the most theoreticaldimension of the model. This study only follows students in the two-year STS program, so wedon’t have extensive data about how
Paper ID #44122WIP: Unannounced Tests and Examinations to Improve Student Performanceand Build Academic IntegrityJohn Mario BonillaMiguel Santiago ValarezoDr. Miguel Andres Guerra, Universidad San Francisco de Quito MiguelAndres is an Assistant Professor in the Polytechnic College of Science and Engineering at Universidad San Francisco de Quito USFQ. He holds a BS in Civil Engineering from USFQ, a M.Sc. in Civil Engineering in Construction Engineering and Project Management from Iowa State University, a Ph.D. in Civil Engineering with emphasis in Sustainable Construction from Virginia Tech, and two Graduate Certificates from
practices that work to downplay, obfuscate, or dismiss entirely the influence of socialand structural factors that reproduce educational disparities among historically marginalizedgroups in engineering and further drive them away from the field [4], [5], [13]. The broadersocietal implication of this problem is that it limits the diversity of perspectives that practiceengineering, which perpetuates the development of the unjust and inequitable distribution oftechnological consequences. We see this, for example, in the pervasiveness of algorithmic bias,infrastructure projects that harm minority communities, and a lack of (or undone) technologiesthat could benefit women and people of color [14], [15]. The recognition that we need to designculturally
many engineering andcomputer science. Video creation posed more work and time for both students and instructors;however, there are educational benefits of requiring students to review and explain their work: itprovides authentic engineering communication practice and seeds a habit of metacognition.Introduction and Related WorkEducators design pedagogical methods, activities to support student learning, and assessments ofstudent learning, while often considering the theoretical framing of how students learn. Whileengineering and computer science learning experiences include hands-on, practical experienceswith active learning exercises, laboratory work, experiments, projects, and internships, examsremain a primary tool for assessing students
first, and in the second, became confused aboutthe solution to an example problem. Reflecting on these two episodes and their implications formy instructional practice led to the following research questions: 1. In what ways does confusion manifest in an interactive classroom environment? 2. How can an instructor engage in reflective practice to make sense of and shift their framing of their confusion and mistakes?MethodsParticipants, Positionality, and ContextThis work is part of an ongoing ethnographic research project in which I serve as an instructor inthe chemical engineering department at a private, research-focused university while studying thefactors impacting instruction in the department from within. For this paper, I focus
studentsentered class. After five to ten minutes, solutions were projected using the lecture slides whilestudents switched writing tools and self-graded their quizzes. Several example retrieval practicequizzes are included in the appendix. Usually, quizzes were completed individually, butsometimes they were completed with a partner to encourage community or shared learning. Thelevel of difficulty varied depending on the goal and timing within the semester. Sometimes thesepractices were easier, reviewing past information and sometimes they were harder to preparestudents for an upcoming test. Retrieval practice quizzes included questions on assigned reading,previous lecture content, and homework. This encouraged students to keep pace with readingsections
Paper ID #41396Mixed Reality as a Teaching Tool for Improving Spatial Visualization in EngineeringStudentsMs. Israa Azzam, Purdue University, West Lafayette Israa is a Ph.D. student at Purdue University, specializing in digital technologies and control systems. She received her B.S. degree in Mechanical Engineering from Beirut Arab University (BAU) in 2019 and her M.E. degree in Mechanical Engineering from the American University of Beirut (AUB) in 2021, specializing in Robust Control. Israa is a Research Assistant on the National Science Foundation-funded Project ”Research Initiation: Developing Spatial
practice it may be easier tobuild consensus around them. As the world’s largest development lending institution, the World Bank grappleswith these challenges daily. The CCG Chief Economist’s team seeks to illuminate the issue by:- In the long run, seeking to mainstream new approaches for robust decision making (RDM) into the design and implementation of WB projects, as well as into the analytical methods and policy processes of clients.- In the short-run, educating various audiences about deep uncertainty, how managing uncertainty differs from managing risk, and what tools are available to support RDM.In the past, researchers and practitioners have relied largely on lectures and publications to communicate todecision makers both the
comfortable standing up for themselves in the face of harassment. For example, Elioshared: I have a great relationship with my boss. She was not my professor [i.e., Elio had never taken a course with her], but she was the lead professor for the course. And she is always like, “You can come to me for anything,” and things like that. And she is a professor and she’s great about that for every student, not just me. I can hold my coworkers [fellow TAs] accountable a little bit more if anything they’re saying is like, “Whoa, [that’s inappropriate]” [unlike] if I were in a team of engineers in a group project with 200 other students in the mechanical [engineering] space and a professor that I barely know.Elio credited their professor with
]. Developed within theapplied disciplines of organizational theory and project management, engaged scholarshiprequires researchers to cooperatively interact with practitioner-stakeholders to identify,understand, and improve upon “complex social problems that often exceed our limitedcapabilities [as researchers] to study on our own” [18, p. 37]. Organizational engaged scholarshiphas been likened to design-based research in education, wherein education researchers team upwith a variety of education practitioner-stakeholders to iteratively advance the theory and designof an intervention to a complex educational problem, and is considered useful for researchersseeking to advance both scientific and practical knowledge together [17]; [20].Participants
Paper ID #42058Analyzing the Impact of Multi-Faceted Women in Computing Support Programson Women Computing StudentsDr. Ilknur Aydin, Farmingdale State College, SUNY, New York Ilknur Aydin is an Associate Professor of Computer Systems at Farmingdale State College, SUNY, New York. Dr. Aydin’s research is in the general area of wireless and mobile networks with a focus on transport layer issues including multihoming, SCTP, congestion control, and network coding. Dr. Aydin has mentored undergraduate and high school students on research projects that involve the use of Arduino boxes and Raspberry Pi’s in the context of
their peers. One student talked about learning more about coding in C++,saying, “We all have an issue when it comes to coding, it's the same issue. It's not like it'ssomething different.” This interviewee said they fit in well and then described being on par withpeers in their coding work. Another student said they fit in their department and then went on toexplain their work with Cozmo, a small robot. This student said they were programming therobot to “do certain tasks” and that working on this project, as part of a professor’s researchwork, was what made them feel that they belonged. Perceptions of BelongingForty-two responses were coded in the affirmative, with the “Yes, I belong” code. Theserespondents did not appear to question
, construction safety, and control room management. Dr. Harvey has worked with the Federal Aviation Administration, the United States Air Force, Roche Diagnostics, Louisiana Department of Health and Hospitals, National Aeronautics and Space Administration (NASA), Louisiana Department of Economic Development, and the National Science Foundation on projects. Before joining the academic community, Dr. Harvey was a consultant of business process reengineering for KnowledgeWare where he worked with Whirlpool and Ford Motor Company. Before that, he was the manager of business process reengineering for the Student Loan Marketing Association where he was responsible for the reengineering involved in the implementation of a $55
evaluator on several NSF-funded projects. ©American Society for Engineering Education, 2024 Exploring the Relationship Between Undergraduate Students’Personality Attributes and Their Transformative Learning in a Short-Term Study Abroad Program Exploring the Relationship Between Undergraduate Students’ Personality Attributes and Their Transformative Learning in Short-Term Study Abroad ProgramsAbstractLiterature has consistently pointed to the significant role of personality in students’ decisions toparticipate in study abroad programs. Studies have highlighted how such experiences areimpacted by key personality traits
based on the depth of cultural immersion and the diversity of travelexperiences.Future WorkIn our study, the artistic creativity of the research participants was demonstrated through adrawing while their innovation was evaluated by a self-rated measure. In our future work, weenvision assessing research participants’ term projects for innovation demonstrated through theirwork. This would provide us with more comparable measures for artistic creativity andinnovation self-efficacy attributes. Our future focus group with the research participants willexplore the portion of states that they reported having visited that they also lived in. This canhelp us better understand the relationship between the lived experiences of the participants withtheir
graduatestudents build community, such as Bridge programs [11],[12],[13], Alliances for GraduateEducation and the Professoriate (AGEP), the Louis Stokes Bridges to the Doctorate (BD) [6], theAlliances for the Inclusion Across the Nation of Communities of Learners of UnderrepresentedDiscoverers in Engineering and Science (INCLUDES) [14], CGS PhD Completion Project [15],Gates Millennium Scholars Program [16], and others. These programs help set students up forsuccess in their careers, complete their graduate degrees, and contribute to the advancement ofknowledge and innovation.Additionally, connecting students to opportunities earlier in the educational pipeline plays a keyrole in the diversification of graduate student populations as well as their
Paper ID #43568Examining the Implementation and Impact of Reflective Practices in EngineeringCourses: Insights from Faculty and Teaching AssistantsDr. Logan Andrew Perry, University of Nebraska, Lincoln Dr. Perry is an Assistant Professor of Engineering Education in the Department of Civil & Environmental Engineering at the University of Nebraska-Lincoln. His work contains a unique blend of engineering education and civil engineering projects. Dr. Perry’s current work centers on understandinMrs. Ibukunoluwa Eunice Salami, University of Nebraska, Lincoln Ibukunoluwa Eunice Salami is a PhD Student in Engineering Education
during model development. A few images from the dataset are shown below. Note that theimage size or quality does not bring down the accuracy of a model. A model trained on highquality images will need more computational resources. Figure 3: Examples of images with 'Neutral', ‘Happy’, ‘Sad’, ‘Surprise’ labels respectively. (Retrieved from https://www.kaggle.com/datasets/msambare/fer2013)3.5.1.3 Data PreprocessingThe data was next preprocessed to be prepared for the model that will be used for classificationin this project, MobileNetV2. MobileNetV2 is an efficient convolutional neural networkarchitecture used in various computer vision tasks such as image classification, object detection,and facial
effectiveness of culturallycentered approaches in bridging the gap in STEM participation and contribute to the ongoing dialogue oncreating inclusive and empowering educational environments. Future Work We aim to offer the UACI Summer STEM Camp consistently and continue to evaluate the impactof African-Centered STEM Education (ACSE) on African American learners. We plan to develop andadminister summative assessments for future UACI camp iterations. Examples of summative assessmentsmay include cumulative pre- and post-tests and/or a group project assigned that requires students to applymultiple concepts they learned throughout the camp. The latter would be a real-world problem concerningthe African