funded projects led by five differentprofessors. I had learned how to do qualitative research by practicing it and by being exposed tomany different professors who did this work. While the tools for experimental research tend tobe external to the individual researcher, qualitative research depends on the researcher as analystto make decisions based on decades of reading and experience. I was unsure how to condenseseveral years of situated learning into a digestible nugget. This problem was compounded by mydiscomfort performing “sage on the stage” knowledge-transfer type teaching.I tried my best and ended up leading a seminar on paradigms, focusing on positivism, socialconstructivism, and critical theory [25]. I created a chart to help my
of his research, he has explored Colombian chemical engineers’ social representations about science and technology and the conceptions and attitudes about chemical engineering and their identity as chemical engineers. He belonged to Colombian educational formal and informal ambits like a pedagogic consultant at the Plane- tarium of Bogot´ for the project ”Centers of Interest in Astronomy”; innovation, science, and technology a instructor and consultant at the science and technology museum Maloka; and school teacher in Chemistry. As part of his research interests, he looks for the integration between the arts and engineering to foster social justice and critical thinking, and the
— against placing unknown CD media in their computer (whyhigher application—which represents application, but only if does potentially malicious code have access to informationinformed by analysis, evaluation, and creation. that could cause harm?), and it urges them not to trust links A project at Pacific Northwest National Laboratory devel- in emails (why is the source of information being presented tooped a series of computer-security awareness training materi- the user not always clear?). In the economy of individual endals, and they posited that their training exercises Bloom’s first users—who consider the benefit of following security
Blast at Apple, Oct. 16 UC Berkeley Engineering Tours for MESA Students, Oct. 15 SF Society of Women Engineers – boat tour of Bay Bridge construction project, Oct 1 SHPE Day @ SF Exploratorium, Sept. 25 Inside Google: Diversity in Engineering & Technology, Sept 1 Cal Day @ UC Berkeley, April 17 SJSU Engineering Open House, April 17 Genentech Tour: The Women in Science & Engineering (WISE) club, Feb. 25Workshops/Seminars NSF Scholars’ Orientation, Nov. 12 Guaranteed 4.0 Workshop, Nov 8 and Nov 11 Writing Personal Statements for Transfer Applications or Scholarships, Oct. 14 Transfer Application Help – UC, CSU & Private Universities, Oct. 13
between student action less time for analysis of student learning. Faculty are oftenand focused feedback, students often make the same type of absorbed checking student data and have little time to add newerrors week after week. Additionally, engineering laboratories student experiences that might be important and relevant todo not typically use efficacious forms of teaching, such as industrial practice. This problem is shared by most science anddiscovery-methods or project-based learning [1]. technology curricula and delays integration of new topics andUnderstanding how people think and learn has forced a
, Latine students in a Hispanic Serving Institution (HSI) stated that they feelsupported when their faculty mentors provide them with “an extensive network, knowledge, andresources to connect them with high-impact programs and resources, such as summer research,academic support, and mentoring experiences” [5], [27].In the Minority Graduate Education Project, Nettles explored Black, Hispanic, and Whitedoctoral students’ graduate school experiences [11]. This study found that Hispanic/Latinestudents were more likely to attend graduate school full-time to warrant assistantship fundingand spent more time completing program requirements (e.g., course work, dissertation) withgreater social involvement than their Black and White counterparts. This
urgent in SDS, since at least one representationgap may be expanding over time: women data scientists decreased sharply from 2018 to 2021,from 31% to 18% of the field [22].Recruiting and supporting more people from underrepresented groups into SDS requiresappealing to members of these groups who are currently in SDS. As such, it is important tounderstand what drew people from these groups into the field. Research provides some sense ofhow to achieve this. For example, studies have shown that students who are women and/or fromunderrepresented ethnoracialized groups have positive experiences and increases in confidenceand interest in data-related fields and in research as a result of taking statistics courses that arebased on projects that
assignment - the actual code.Regarding the AI policy in both classes, students were required to turn in their own work, not thework of other people or machines. AI tools were permitted only for tasks explicitly outlined in theassignment requirements, where their use was mandatory. This policy emphasized responsibleand ethical use of AI, fostering both technological literacy and academic integrity.Developing the Survey InstrumentThe survey used in this study was adapted from a validated instrument designed to assess theimpact of “project-oriented learning” on student satisfaction and “professional competency” inthe accounting field 12 . This instrument was chosen for adaptation due to its alignment with ourresearch questions: examining how a specific
Paper ID #39845A Literature Review to Explore a Relationship: Empathy and Mindfulness inDesign EducationMs. Rubaina Khan, University of TorontoDr. Adetoun Yeaman, Northeastern University Adetoun Yeaman is an Assistant Teaching Professor in the First Year Engineering Program at Northeastern University. Her research interests include empathy, design education, ethics education and community engagement in engineering. She currently teaches Cornerstone of Engineering, a first-year two-semester course series that integrates computer programming, computer aided design, ethics and the engineering design process within a project
enhances the learning students’ performance, retention, and understanding.experience by allowing students to connect theoretical knowledgewith practical applications. This paper examines laboratory- Keywords—Experiential education; Inquiry-based learning;based pedagogy and how it enhances the Accreditation Board for Teamwork and collaboration; Project-based assessments.Engineering and Technology [ABET] -accredited EngineeringTechnology programs at Queensborough Community College[QCC]. Laboratory-based instruction, as a method of pedagogy, I. INTRODUCTIONcan be utilized across multiple varying engineering curricula. Lab
the instructors such as flipped classroom, guided notes, oneminute paper, peer discussion, interactive quizzes, preparing artifacts, collaborative learning,educational trips, problem-based learning, and group projects [3, 6]. However, most of theseactive learning techniques seem difficult to keep students engaged throughout the lecture.Additionally, some of these techniques require a lot of preparation and excess class-time. Withsome innovative techniques, active learning could become interesting to the students throughengaging them [7]. Two or multiple styles could be merged to effectively utilize these methods.In this study two active learning styles: guided notes and interactive quizzes are merged into acomprehensive two-step method. The
complete tasks and make up for each other in helping eachother.Hands-on activitiesAs a complement to the virtual experience, the system provides a series of hands-on activitiescentered on human functions. These simple experiments enrich the learning experience andprovide concrete models that correspond to theoretical concepts. A variety of hands-on activitiesrelated to the human body will develop engaging lessons and interactive activities to educate andinspire the next generation of science, technology, engineering, and math (STEM) professionals.The target audience for this project is middle school students in grades 6-8. Various areas ofSTEM are demonstrated through three activities themed around the human heart. Subtopicsinclude how the heart
Session XXXX Research Experience for Undergraduates: A Preliminary Study on the Techno-economic Feasibility of Industrial-scale Microgreens Production Carol E. Akpan, Lealon L. Martin Chemical Engineering Department Prairie View A&M University Kendall R. Lemons Mechanical Engineering Department Prairie View A&M University AbstractThe purpose of this REU project is to design an industrial-scale system to cultivate and harvestmicrogreens. Microgreens are plants that are edible
thefunctionality desired for this project.Significant academic research on the topic of synthetic data generation was done by theSynthetic Data Vault project within the MIT Data to AI Lab (https://dai.lids.mit.edu/) which wasrecently transferred to a private company, datacebo (https://datacebo.com/). Their core productis described in the paper The Synthetic Data Vault. [4]Dataset Specification SystemWe have developed an initial capability in the form of a Python library named analyticsdf built“on top” of the Pandas package. Full documentation is located in the github repositoryhttps://faye-yufan.github.io/analytics-dataset/ and is summarized below.The analyticsdf class implements a single object called AnalyticsDataframe which consists oftwo data
for how this construct can be defined, included inESP programming, and assessed. Each whitepaper will provide a roadmap (groundedin social science theory and literature) on how to measure the impact of the ESP onentrepreneurial attributes on student engineers. Figure 1 illustrates the progression fromthe Delphi Study to the workshop series. The whitepapers will then be disseminatedthrough a website and workshops provided through [a national organization-anonymized for paper review].Figure 1 Delphi Study and Workshop SeriesAcknowledgements:The authors acknowledge the National Science Foundation (Award Number: 2220329)for providing funding for this project. Any opinions and findings expressed in thismaterial are of the authors and do not
of this reviewas they are the more widely used and well-established motivational theories. From our review,we found that research using self-determination theory focused on autonomy and how toimprove feelings of autonomous motivation in students to increase cognition. Researchers usingexpectancy-value theory were more balanced in their investigations, focusing on how bothstudent expectations and values play a part in student cognition. For researchers usingachievement goal theory, the focus was on the benefits of both mastery- and performance-basedorientations and the use of multiple goal perspectives. Related to measuring cognition, we notethat different measurements of achievement can make comparisons across projects difficult; assuch
collaborative research projects and team teaching, specifically theideas of a shared theoretical framework and agreement on author roles. Each faculty participantwas then prompted to identify their own core values regarding teaching and course goals, beforejoining their team to collaborate on a shared set of values and goals. Participants were alsoprompted to explicitly identify the role and responsibilities of each member of their teachingteam. The shared values and course goals were further codified into a document with the goal oforienting a new team member (Appendix A). The group was also challenged to develop a surveyfor evaluation of their team dynamics and achievement of their course goals, and to use it as atool for self-reflection on the team
affairs professional in areas such as enrollment, admissions, advising and student success. © American Society for Engineering Education, 2022 Powered by www.slayte.comEffects of Community Cultural Wealth on Black and Hispanic Women’s Persistence in P-20 Computing EducationAbstract— Building upon previous National Science Foundation (NSF)-funded research, and research relatedto STEM persistence and counter-life herstories, this study is part of a larger, longitudinal, mixed-methodssequential, explanatory, NSF CAREER project that examines the influence of community cultural wealth(CCW) on the persistence of Black and Hispanic females in computing
Science Project (WISP), WEPAN Conference Proceedings, 1996, 289-294.[10] Santovec, M.L., “Campus Climate Affects Female Engineering Undergrads,” Women in Higher Education 8 (7), 1999, 5.[11] Carver, D.L., Research Foundations for Improving the Representation of Women in the Information Technology Workforce: Virtual Workshop Report, National Science Foundation, 2000, www.cise.nsf.gov/itwomen.html.[12] Garcia, O.N. and R. Giles, Research Foundations on Successful Participation of Underrepresented Minorities in Information Technology: Final Report from a Cyber Conference, National Science Foundation www.cise.nsf.gov/itminorities.html, 2000.[13] Camp, T., “Women in Computer Sciences: Reversing the Trend in
organizations, activity scheduling,inventory control, project management and total quality systems.The issues facing EM are many and varied. The educational demands are to say the leastdaunting. But it is in maintaining a balance between these forces (hard vs. soft, applied vs.theoretical, industrial influence, market demands, etc.), that make good EM programs. To fail toembrace the multidisciplinary nature of this field, we believe would be a mistake and ultimatelyrelegate the field to something it was never meant to be. References 1. Beruvides, M.G. (1997). “Perceptions from the Trenches: Engineering Management vs. MBA,” ASEE Annual Conference Proceedings, Milwaukee, WI, CD-ROM, 8p. 2
Texas A&M University, serves engineering faculty by managing course design projects and providing support to faculty through one-on- one consultations, presenting workshops, and developing online training and tutorials. She has over 18 years of experience in Higher education in libraries, web development, instructional design, and distance learning, where she has offered workshops and classes to undergraduate students and K-12 teachers. She also holds an online adjunct faculty position at the University of Arizona Global Campus, teaching Information literacy and research skills to adult learners.Dr. Sunay Palsole, Texas A&M University Dr. Palsole is Assistant Vice Chancellor for Remote Engineering Education
first speaker chosen was a professor and department head for an engineering departmentlocated at a university in the United Kingdom. The presentation focused on their development ofan interdisciplinary engineering program that serves as something of an extended first-yearengineering program, providing problem- and project-based work for students in their first twoyears of school before they matriculate into a traditional engineering discipline. The follow-upbook purchased for attendees who wanted a copy was Wenger-Trayner et al.’s “Learning inLandscapes of Practice” [6].The second speaker was an associate professor within a department of engineering education at auniversity within the United States. The second talk explored intersections
result, universities are working to include more sociotechnical content informerly purely-technical courses, with the goal of engaging students in recognizing andanalyzing the economic, political, and social aspects of technology. In the U.S., many of thefocus topics for this sociotechnical content are grounded in a U.S. context, requiring anunderstanding of the history and current state of racial and economic power structures. WhileU.S. residents are likely familiar with these structures, it is important to consider how thesetopics are encountered by international students.This work-in-progress study on international student experiences is part of a larger NSF-fundedresearch project exploring integrating sociotechnical topics in a first-year
published articles in the fields of cybersecurity, intrusion detection, machine learning, and technology education. Dr. Chou has experience in supervising both graduate and undergraduate student thesis, practicum, and grant project research. ©American Society for Engineering Education, 2023Enhancing Student Learning Using Article Reading AssignmentsAbstractStudying the textbook is an indispensable element of learning when students are trying tounderstand the contents of a course. However, learning a subject should not only be limited tothe contents of a textbook, but rather, should be approached with the goal of understanding thesubject from a broader perception. Therefore, in order to broaden students
TeamSupport for this work was provided by the National ScienceFoundation’s Alliances for Graduate Education and theProfessoriate (AGEP) program under award numbers1916093, 1916018, and 1915995 to Rice University, Texas Dr. Torrie Cropps Dr. Yvette E. PearsonSouthern University, and University of Houston. The project Postdoctoral Researcher Vice Presidentis branded as AGEP STRIDES (Strengthening Training andResources for Inclusion in Data Engineering and Science).The opinions, findings, and conclusions or recommendationsexpressed are those of the author(s) and do not necessarilyreflect the views of the National
, which allowed us to hire additional staff support focused onimproving second- and third-year retention rates as well as graduation rates and time-to-degree. Theadditional staff support will provide opportunities for holistic advising, career guidance and facilitatedmentorships to continue beyond the second year of enrollment. In addition, the first-year academic-success course will be enhanced to include a project focused on the NAE Grand Challenges2, which willprovide an opportunity for students to develop the team-building and presentation skills that will beneeded in required upper-division engineering design courses.In addition, we were successful in receiving a grant from the National Action Council for Minorities inEngineering (NACME
Paper ID #38404Measuring the Impact of Budding Support Programs for WomenUndergraduates in Computing DegreesDr. Ilknur Aydin, State University of New York, College of Technology at Farmingdale Ilknur Aydin is an Associate Professor of Computer Systems at Farmingdale State College in New York. She received her Ph.D. in Computer Science from University of Delaware in DE, USA and received her BS degree in Computer Engineering from Marmara University in Istanbul, Turkey. She also worked as a software engineer in Turkey on projects about implementation of a GPS (Global Positioning System) based vehicle tracking system. Dr
based on individual needs, competencies,and interests. One way to conduct personalized learning is by using a recommender systemthat employs deep learning, an AI technique. To date, a limited number of researchers havediscussed the application of deep learning methods to develop advanced recommenders inpersonalized learning environments. This study examines the literature that describes deeplearning as a recommender system to support personalized learning environments. This initialphase of the project seeks to synthesize the issues and opportunities associated withpersonalized learning experiences and the potential of using deep learning to support theprocess. Because the topic intersects the education and information technology (IT) fields
evident in the discriminatory treatment ofwomen during the selection and appointment of faculty positions. These biases, along withmany psychological, sociocultural, and cognitive factors, resulted in the underrepresentationof women in STEM majors.3. MethodologyAn analysis was conducted on semi-structured interviews with a cohort of eighteen femalestudents who participated in the study. This qualitative research project collected data fromundergraduate students from the leading research university in the country over the span of ayear. The purpose of the study was to investigate the factors influencing the development ofwomen in STEM. An invitation for voluntary participation was sent to the potentialinterviewee via corporate email. As approved
scholars from underrepresented backgrounds to pursue a degree in STEM. He has been a research affiliate on multiple NSF-funded projects surrounding equity in STEM. Brian’s research interests are college access, retention, marginalized students, community colleges, first-generation, STEM education, STEM identity development and engineering education.Dr. Henry Tran, University of South Carolina Henry Tran is an Associate Professor at the University of South Carolina’s Department of Educational Leadership and Policies who studies issues related to education human resources (HR). He has published extensively on the topic, and holds two national HR certifications. He is also the co-lead editor of the book How did we get