engineeringidentity, sense of belonging, and self-efficacies.The survey instrument was designed with validated scales to measure engineering self-efficacy[19], design self-efficacy [20], and students’ sense of belonging [21]. The first survey also askedstudents to self-report demographic items, such as gender identity, sexual orientation,race/ethnicity, nationality, status as first-generation college students, estimated family income,plans to work during the academic year, and if they would identify as having a disability. Theinstrument also asked students what forms of making they had previous experience with, forexample, woodworking or making with textiles. Students’ perceived attitudes towardmakerspaces were also collected through the form of Likert-type
Students to Keep Detailed Notes: Record all the information you gather during your research, including author names, publication dates, and page numbers. It will help you create accurate citations later. • Offer Help and Educate Students to Manage Their Time Effectively: Procrastination can lead to rushed work and increased temptation to plagiarize. Plan your assignments well in advance to avoid last-minute panic.It is also critical to detect and resolve any student's plagiarism promptly and adequately by thesemethods: • Use Plagiarism Checker Tools: Always use plagiarism checker tools (e.g., Turnitin, Grammarly) to identify and correct unintentional plagiarism. • Use Plagiarism Prevention Techniques
cohort of teacher leaders.At the same time, the USPTO Kids and Educators website underwent a comprehensivetransformation to include all their outreach programs and EquIP HQ, a new collection ofcurriculum and ready-made lesson plans, which is still evolving. This paper will broadly outlinethe efforts of the USPTO and specifically its effect on one teacher’s engineering classroom. Theeducator has been in a longstanding relationship with the USPTO since 2008, integrating IPlessons into her curriculum. In 2014, she attended NSTI; in 2018, she advised a LemelsonInvenTeam and is now an MTIP participant. Aligned with the USPTO’s goals, her engineeringclasses have been increasingly enriched in intellectual property, invention education, diversityand
preparation.2.1.1 Designing effective syllabiSyllabi serve as a contract between instructor and students. New faculty members should ensurethat their syllabi communicate course objectives, learning outcomes, grading criteria, and policiesin a transparent and accessible manner. Providing students with an alternative lecture schedulecan also show an outlining key date for assignments, exams, and other important milestones. Thisclarity enables students to plan their study schedule effectively, manage their time efficiently, andstay on track with coursework.2.1.2 Laboratory Design and real-world connectionDesigning laboratories with stronger connections to real-world examples and theoretical knowledgeinvolves several strategies, including selecting
Paper ID #43013Board 411: Training Socially Responsible and Engaged Data Scientists: Lessonsfrom Four Student CohortsDr. Valentina Kuskova, University of Notre Dame Valentina (Valya) Kuskova is Professor of the Practice and Associate Director at Lucy Family Institute for Data & Society at University of Notre Dame. Her expertise is advanced data analytics, especially time-series analysis and networks. Kuskova has extensive corporate and academic experience. After an MBA from Boise State University she had worked in a variety of corporate roles, from programmer/analyst to senior strategic planning analyst at major
forthe FWS program, they must be receiving Financial Aid. The students must have satisfactory academicperformance, which means they must be passing at least 12 credits directed towards their major per semesterand be enrolled in at least six credits or more for the semester they plan to receive FWS. They must also haveremaining financial need, and they must indicate interest for FWS on the FAFSA (Free Application forFederal Student Aid).Student Recruitment And SelectionTwo campus wide Zoom sessions are run at the start of each semester to bring to the attention of CCNYstudents the value of undergraduate research as a HIP and provide them with information on the FWSprogram and the process to utilize it in an area that has career impact. Students
, both instructorswill be teaching CSC 101 Introduction to Computing. They will follow the same teaching plan andshare lecture materials to minimize differences. They met weekly during the preparation of thematerials and will meet weekly throughout the semester of implementation. Both instructors utilizean assignment system to assign the same questions to students in each course section. Allassessments are shared among the faculty group. Additionally, based on student feedback receivedweekly, the instructors will adjust their lesson plans accordingly.Different Students. Each class does not contain the same number of students, the same majors, andthe same academic preparedness and exposure to computer science. These uncontrolled variablesmay
which we would like tomaximize the thickness of arrow e, ideally to match the associated grit level designed by theprogram. To maximize the engagement of interdisciplinary students, quizzes should beeliminated and replaced with a highly complex set of homework problems that span multipledisciplines. For instance, constructional engineers are to be encouraged or even required to solveissues on highway planning and bridge construction using stochastic models. The pedagogicalinnovation here is to leverage the theorized link of cognitive diversity and intrinsic motivation(Section 3.1). As such, students from different majors will find problems related to their chosenmajor of study interesting and intellectually stimulating. Cognitively, they would
structure" [10]. Lawson attributes this phenomenon to their academic learningprocess, reflecting the cultivation of more refined planning skills than the comparisongroup. The diverse solutions architects create showcase their proficiency in solutiongeneration.Research ObjectiveThe aim of this study was to conduct a pilot test to explore the impact of mind maps on thelearning process of architecture students, who regularly navigate the integration ofconceptual and practical learning. The objectives of the research were (i) to enhance thelearning experience of architecture students and (ii) to facilitate the connection betweenpractical concepts and theoretical knowledge, a common occurrence in architecturalcurriculum. This article details the
2010 he has been a Visiting Associate Professor at the Electrical and Computer Engineering Department, Michigan State University. From 2014 to 2016, he has been a Visiting Professor with the Mechanical and Aerospace Engineering Department, University of Missouri. Currently, he is Associate Professor with the Engineering Department, Colorado State University-Pueblo. He is the author of two book chapters, more than 73 articles. His research interests include artificial intelligence systems and applications, smart material applications, robotics motion, and planning. Also, He is a member of ASME, ASEE, and ASME-ABET PEV.Dr. Nebojsa I Jaksic P.E., Colorado State University, Pueblo NEBOJSA I. JAKSIC earned the Dipl. Ing
principle Lab 5 Workcell ABB w. robots Auto mode 7 Robotic inspection technologies Lab 6 Basics – Machine Machine vision Vision 8 Product design and CAD/CAM Lab 7 Vision for Smart Virtual Reality Robotics Robotic Control 9 Virtual Reality Robotics for modeling Lab 8 ABB RobotStudio Introduction 10 Virtual Reality Robotics for process planning Lab 9 ABB
planning and operational management training and guidance. He has published numerous publications on strategic, technology, and business management topics. ©American Society for Engineering Education, 2024 Large Language Models in Healthcare: Bridging the Gap between Performance Evaluation and Socio-Ethical ImplicationsAbstractUtilizing large language models (LLMs), such as the Bidirectional Encoder RepresentationsTransformer (BERT), presents an opportunity to revolutionize the healthcare experience byenhancing patient engagement, facilitating medical education, and improving the overallhealthcare service outcomes. However, integrating large language model solutions in a highlyregulated
Education (CoED) divisions, and with the Ad Hoc Committee on Interdivisional Cooperation, Interdivisional Town Hall Planning Commit- tee, ASEE Active, and the Committee on Diversity, Equity, and Inclusion. Estell has received multiple ASEE Annual Conference Best Paper awards from the Computers in Education, First-Year Programs, and Design in Engineering Education Divisions. He has also been recognized by ASEE as the recipient of the 2005 Merl K. Miller Award and by the Kern Entrepreneurial Engineering Network (KEEN) with the 2018 ASEE Best Card Award. Estell received the First-Year Programs Division’s Distinguished Service Award in 2019 and the Computers in Education Division’s Service Award in 2022. Estell currently
engineeringprogram.During the planning stages, the engineering faculty established four themes for the project: • The project should be challenging. Students would understand the high level of expectation for effort in engineering classes, while simultaneously being encouraged to solve a difficult problem. • The project should be open-ended. Students would use the engineering design process to create a unique design, with no pre-defined solutions. • The project should be hands-on. Students would utilize the maker space at the UMHB Engineering Design Building to gain hands-on experience with hardware and software. • The project should be competitive. Basing the project around a competition would create a sense of
Paper ID #40691S-STEM Partnerships Supporting Low-Income Engineering Students: ADescriptive Case StudyDr. Walter C. Lee, Virginia Polytechnic Institute and State University Dr. Walter Lee is an associate professor in the Department of Engineering Education and the director for research at the Center for the Enhancement of Engineering Diversity (CEED), both at Virginia Tech.Dr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Special Assistant to the Dean for Strategic Plan Implementation in the College
) departments. This paper focuses on designing acybersecurity undergraduate curriculum that attracts both EE and CS students through specializedtracks and leverages existing courses in departments where both EE and CS majors are housedwithin one School of Electrical Engineering and Computer Sciences (SEECS). The proposedcybersecurity curriculum is approved internally by the department and the College of Engineeringand Mines (CEM). UND is currently working towards seeking ABET accreditation and receivedNSA’s CAE-R designation. The paper discusses course mapping to EAC and CSAB cybersecuritycriteria for two programs: Cybersecurity Engineering (CSE), and Cybersecurity Science (CSS).Such a curriculum plan can also be suitable for other schools if programs
computer simulation ofphysical problems demanded by industry. In terms of delivery, instructors often blend traditionallectures with practical exercises using tools like ANSYS or MATLAB to ensure that students gainboth theoretical knowledge and practical experience [4]. Many programs also integrate project-based learning to help students better understand how FEM is applied in real-world engineeringscenarios [5]. Lately, full online asynchronous courses on the introduction of FEA have beenemerging in various education platforms such as Coursera, LinkedIn Learning, and EdX.Balancing the range of topics in a finite element analysis course requires thoughtful planning,especially with limited credits in the curriculum. The emphasis on practical
CommunityRevitalization Partnership, and the City of Tampa. These organizations are committed to trainingindividuals for workforce development in the Tampa Bay Region, establishing communitygardens, and supporting a local government agency to plan and organize community revitalizationprojects. The goal of this research is to develop and implement interdisciplinary, community-engaged, anti-racism training opportunities for civil and environmental engineeringundergraduates at USF and UCB to build capacity for solving the complex and interconnectedchallenges of our time. The research questions associated with this work are: 1. How can civil and environmental engineering courses and curricula effectively focus on equitable development within
majors. Preliminary results reinforce prior STEM literature which emphasizes theimportant connections between the development of identity and elements of sense of belonging [23].RQ2: How do activities focused on research identity support transfer students in STEM fields?Our preliminary results indicate the artifact activity was a wonderful way to help students develop aresearch identity in the class. Sharing the artifacts with other students empowered some students to adoptspecific roles in the class over time. The student insights are consistent with prior findings by Rodriguezet al about STEM identity [26].Based on our work in progress results with a small initial offering we plan to continue offering this coursein the future as a bridge for
consideration of future identities. In future work, we want toexplore these relationships in additional cases, looking for ways in which IBM may help usunderstand additional aspects of faculty transitions.As for practical implications, this work can contribute to improving the accessibility of academiato engineering faculty who make career transitions outside of those associated with the “singlestory” narrative of tenure and promotion, or other commonly recognized forms of careeradvancement – for example, administrative roles and retirement. Dual-career couples andindividuals who are or intend to become parents and caretakers are two groups who faceconsiderable challenges with reconciling academic career plans with personal considerations.Tenure-track
our study. We initially plan to recruit between 6 and 10 focus groups, each with4 to 6 participants. This number is typical in many qualitative studies that use focus groups [47].Our focus group will be semi-structured, with five prompts (discussed below) and a discussionfor each prompt. This focus group will follow a two-stage approach where participants firstexplore metaphors used in research individually, followed by a discussion with a partner in theirgroup. Our participants will consist of EER researchers from academia who have diversebackgrounds, genders, and ethnicities. We will advertise our study via email to universitiesglobally that have EER clusters and recruit participants from these clusters. We will ask participants the
overall quality of education in college classrooms [5]. However, co-teaching in alarge classroom presents several unique challenges which can impact the effectiveness ofinstruction and student engagement. One challenge is coordinating and synchronizing teachingapproaches and strategies between co-teachers to ensure cohesive and consistent instructionaldelivery [6]. This requires effective communication, planning, and flexibility among co-teachers.Moreover, assessing and providing timely feedback to many students can be overwhelming andmay require additional resources and strategies to accurately gauge individual progress.In Fall 2020, the course underwent a transformation to better serve neurodivergent students andencourage inclusive teaching
female mentors, and female engineeringprofessors. Given each survey question resulted in strong positive statistical significance, theresearchers are encouraged to continue and expand this effort.It should be noted that the researchers recognize the sample size is small, and thus, it is notpossible to draw definitive conclusions based on these results. Further analysis is planned tomeasure the impact of this activity on academic performance and retention. Additionally, self-efficacy surveys were given in the engineering course and during the INSPIRE workshop. Thisdata will provide more depth to the analysis of the impact of the workshop experience.References[1] National Center for Science and Engineering Statistics (NCSES). 2023. Diversity and
education focusDr. David B Knight, Virginia Polytechnic Institute and State University David Knight is a Professor in the Department of Engineering Education at Virginia Tech and also serves as Special Assistant to the Dean for Strategic Plan Implementation in the College of Engineering. His research tends to be at the macro-scale, focused on a systems-level perspective of how engineering education can become more effective, efficient, and inclusive, and considers the intersection between policy and organizational contexts. Knight currently serves as the co-Editor-in-Chief of the Journal of Engineering Education.Ms. Isil Anakok, Virginia Polytechnic Institute and State University Ms.Anakok is Ph.D. candidate in the
Materials Science and Engineering Theater Electrical & Computer Engineering 3 pre-tenure Energy 3 Civil Engineering Clinical Psychology City and Regional Planning 1 tenured Mechanical Engineering 3 pre-tenure Movement 4 Music STEM Education Agricultural Education 1 tenured Astronomy 4 pre
a summer program. Christopher actively seeks professional experiences to improve skills for engineering roles in sectors like manufacturing, automotive, aerospace, or energy. ©American Society for Engineering Education, 2024 Paper ID #45298Tenmetey Tetteh-Nartey, State University of New York at New Paltz Tenmetey Tetteh-Nartey is a current senior at SUNY New Paltz pursing a BS in Mechanical Engineering. He plans on graduating this upcoming Spring and hopes to continue his learning of 3D-Printing and Additive Manufacturing alongside renewable energy ©American Society for
international, national, and local professional meetings and conferences. Lastly, Najafi attends courses, seminars, and workshops and has developed courses, videos, and software packages during his career. Najafi has more than 300 refereed articles. His areas of specialization include transportation planning and management, legal aspects, construction contract administration, public works, and Renewable Energy.Vani Ruchika Pabba, University of Florida Vani Ruchika Pabba holds a Master of Science in Computer Science from the Herbert Wertheim College of Engineering at the University of Florida, where she served as a Graduate Research Assistant. Her research focuses on artificial intelligence in education, including natural
, Maryland: ASEE Conferences, Jun. 2023.[2] L. Espinosa, “Pipelines and pathways: Women of color in undergraduate STEM majors and the college experiences that contribute to persistence.” Accessed: Aug. 26, 2024. [Online]. Available: https://psycnet.apa.org/record/2011-13330-004[3] L. Foltz, S. Gannon, and S. Kirschmann, “Factors That Contribute to the Persistence of Minority Students in STEM Fields,” Plan. High. Educ. J., vol. 42, pp. 1–13, Sep. 2014.[4] S. Deitz and R. Henke, “Higher Education in Science and Engineering,” NSF - National Science Foundation. [Online]. Available: https://ncses.nsf.gov/pubs/nsb202332/characteristics-of-s-e-degree-recipients#s-e-degrees-by -race-and-ethnicity[5] E. Lichtenberger and C. George
ModelsPersonalized learning tailors educational experiences to individual student needs through AI-driven platforms, adaptive technologies, and differentiated instruction [16]. This approachenhances engagement, comprehension, and retention by integrating real-time feedback,customized lesson plans, and interactive content. AI-powered systems assess progress and adjustinstructional materials accordingly, ensuring a more adaptive learning experience [17].Key Technologies Enabling Personalized Learning: • Artificial Intelligence (AI) and Machine Learning (ML): AI-driven tutoring systems, such as Khan Academy, modify difficulty levels based on student performance and provide real-time guidance. • Adaptive Learning Platforms: Tools like Smart
prevention, employee engagement, strategic planning, andteam relationships [3, 4, 5, 6, 7, 8]. Kolko [9] argues that “There’s a shift under way in largeorganizations, one that puts design much closer to the center of the enterprise. But the shift isn’tabout aesthetics. It’s about applying the principles of design to the way people work” (p. 1). DTand human-centered design work because of empathy, learning to embrace failure whileprototyping many different ideas, and sharing and co-designing with clients, project partners, andco-workers [10, 11].Although much as been written about the phases and exercises involved in DT [12] and relatedhuman-, empathic-, and culture-centered design models [13], less is known about how thesesessions are facilitated