be graded as low (less than -1 total factor score),moderate (between -1 and 1 total factor score), or high (more than 1 total factor score). The idealmodel level will be a reflection of how a model compares to other proposed ideas and keyconcepts.Coauthors collaborated in order to determine how particular models and model categories rate oneach scale. In addition, qualities emphasized by Atman, Haik, and other researchers1, 3, 5, 17 weretaken into consideration before rating a particular design model. Overall, particular ratings areobjectively based on experience.The evaluated models come from various engineering journals and books. These process modelsare often seen in engineering courses and have applications in a real world environment
future generations, scenario analysis, forecasting, backcastingUnbalances equity, fair distribution of goods, fair use of resources, needs of developing countriesTechnology best available technologies, industry, efficiency, clean-technologies, impact of technology, technological efficiencyEconomy role of economy, fair trade, consumption, economic efficiencyEducation role of education, rise of awareness, educational institutionsActors and role of governments, rules, laws, international agreements, politics,Stakeholders individuals and societyTable 3. Categorical metrics used to score cmaps
pilot.Theoretical BackgroundIn the 21st century, change and reformation to policies and instructional methods are a necessityfor the field of education.1 21st century students require major change to traditional methods ofteaching; engagement is promoted through instructional strategies of visual stimulation,experiential/authentic learning, technology integration, and community-based learning.2 In 21stcentury education, constructivist, constructionist, and studio-based learning provide the keypedagogical foundation for successful instruction and student learning.3 In these settings, anenvironment of techniques including problem-solving, critical thinking, experiential activities,inquiry, and collaboration foster learning.4One of the more influential
component allowsstudents the opportunity to start developing certain aspects of engineering “habits of mind”,based on the grade and developmental level of the specific unit. Engineering “habits of mind”refers to the values, attitudes, and thinking skills associated with engineering and includessystems thinking, creativity, optimism, collaboration, communication, and an attention to ethical Page 23.1226.4considerations3.Using Literacy to Support STEM LearningThe literacy component builds upon the idea of integrating across disciplines by using high-quality science and mathematics trade books to enhance and extend instruction, which helpsstudents to
degree in engineering. To help students complete college,Tinto tells us that there are four conditions for student success: high expectations; academic,social, and often financial support; assessment and feedback; and involvement or engagement.3For the past 10 years, the author and colleagues have been collaborating with CCs, working withtheir students, and helping them to transfer. We visit the CCs and speak with their students in themathematics and science classes, make high school visits with CC representatives to encouragemore students to consider engineering and attend their local CC, help provide scholarships bothat the CC and the university for transfer students, smooth the transfer process, and work to meetTinto’s four conditions for
outcome related to conductingexperiments and analyzing and interpreting data. Their new experiments included aspects oflinear regression and validating theoretical models with experimental data.Linear regression was repeatedly identified as a topic of emphasis when redesigning ameasurement or statistics course. Chitikeshi et al. [15] integrated descriptive statistics andlinear regression into an industrial instrumentation class for an engineering technologyprogram. They chose to focus on the use of software for this analysis and deemphasizedmanual mathematical calculations. Burns and Hammond [16] described the multi-yearredesign of a multidisciplinary statistics course, and they too decided to further prioritizelinear regression—including
fusion,which combines data from multiple sensor modalities such as LiDAR, radar, and cameras, isanother critical area [7]. This approach enhances perception accuracy and reliability byleveraging the strengths of each sensor type to overcome individual limitations.Edge and cloud computing are also expected to play a significant role in the future ofautonomous driving [13]. Edge computing allows data to be processed locally on the vehicle,reducing latency and ensuring faster decision-making in real-time scenarios. Simultaneously,cloud computing enables more complex computations and data storage, providing a balancebetween efficiency and computational power. Collaboration with infrastructure is anotherpromising avenue [25]. Developing intelligent
of Multidisciplinary Engineering, Texas A and M University, College Station. She received her Ph.D. in Engineering Education from the School of Engineering Education, Purdue University, USA. The Department of Energy, National Science Foundation, and industry sponsors fund her research. Her research potential and the implication of her work are recognized through national and international awards, including the 2023 NSTA/NARST Research Worth Reading award for her publication in the Journal of Research in Science Teaching, 2023 New Faculty Fellow award by IEEE ASEE Frontiers in Education Conference, 2022 Apprentice Faculty Grant award by the ERM Division, ASEE, and 2020 outstanding researcher award by the School of
professors’ time and ∼ 60 TA hours to gradeeffectively. Although such assignments could imbibe higher-order thinking in students, humangrading is not scalable. The development of the autograder tool in this paper is targeted at address-ing this grading and assessment gap.The growth of the educational technology industry has come up with autograders, which are widelyused in CS1/2 settings around the world. Some of the common products are: zyBooks [6], Pe-rusall [7], CodeGrade [8], CodePost [9], Codio [10], Crowdmark [11], and Gradescope [12]. Mostof the above-mentioned advanced tools come with modern user interfaces and smoothly integratewith learning management platforms allowing automatic creation of gradebooks. These tools fun-damentally use unit
tocompare results, where disagreements were noted for each theme description and corresponding quotes. When disagreementsarose, through the process of negotiated agreement the team collaboratively refined their themes – ultimately reaching a 4 TABLE I: CodeHelp Enrollment and Usage Rates for NNES and NES Students NNES NES Total Total Class Makeup 61 109 170 CodeHelp Enrolled 37 69 106
, and educatio ©American Society for Engineering Education, 2025 Gendered Impacts of Code Critiquers on Self-Efficacy in First-Year Engineering StudentsIntroductionThe demand for skilled programmers in industry continues to grow. However, research hasshown that women often face challenges in developing programming skills, primarily due tolower levels of programming self-efficacy [1], [2]. This discrepancy has contributed to persistentgender gaps in technology-related fields. There remains a critical research gap regarding thedifferential impact of educational interventions on programming self-efficacy across genders,particularly in engineering. Addressing this gap is essential to
of experience in creating data collection tools, analysis methodologies, and effectively presenting results, she dedicates herself to promoting Hispanic excellence in STEM. She joined SHPE’s staff in 2021, after serving as a faculty member at Northeastern University and a post-doctoral fellow at the James A. Hailey Veterans Hospital and the HSyE Institute. Holding a PhD in Industrial Engineering from the University of South Florida and a certificate in Diversity, Equity, and Inclusion from Cornell University, Dayna is deeply passionate about increasing Hispanic representation and success in STEM. Leveraging her analytical skills and data-driven approach, she is committed to creating and evaluating impactful
%); publishing scholarly work (67%);consulting and/or collaborating with government, industry, and non-profits (63%); and editingand reviewing manuscripts for publishers (59%). In contrast, the survey suggested that thebarriers to engaging in teacher-scholar activities were significant. Respondents identified thelack of sufficient resources for: travel and conference funding (61%); student research orteaching support (58%); release time (58%); administrative support for accounting, logistics,clerical (48%); lab or studio space (48%); and technical lab, shop, computer support (44%). In consultation with the literature and a faculty task force, Conn and Giberti6 proposed that theteacher-scholar is a faculty member who actively participates in both
scientists and engineers for 10 hours per week throughout theentire school year. In the classroom fellows present their research, conduct research-relatedactivities, talk about their college experience, and assist the teacher through lectures and otheractivities. The students also visit the Cal State LA campus during the IMPACT LA Open Housewhere they are able to visit their fellow’s research lab, see other fellows’ labs, learn aboutpathways to college, participate in a fun engineering challenge, and hear about differentengineering and science careers from industry representatives.In this paper, we present the classroom activities developed for a middle school math classroomthat are related to a mechanical engineering fellow’s research on carbon
had previouslybeen formally enrolled in a STEM major but had transferred to another major program of study).We used the UCLA HERI definition for STEM majors [21]. The majors represented in theSTEM focus groups included: Mechanical Engineering, Health Sciences, Discover Engineering,Chemical Engineering, Industrial Engineering Technology, Dietetics, Computer Engineering,Electrical Engineering, Discover Sciences, Civil Engineering, Environmental Biology,Mechanical Engineering Technology, Geology, Electrical and Computer EngineeringTechnology, Psychology, Aerospace Engineering, Pre-Medicine, Sustainability, and Biology. Thenew majors represented by former STEM majors included: Marketing, Sociology, and Women’sand Gender Studies.For current and
Boston University. As a Lecturer in BME, Kavon teaches and mentors students in courses on biomedical measurements, analysis, and instrumentation. As Manager of BTEC, Kavon provides guidance, training, and mentorship of student projects that use BTEC ranging from student-initiated projects to senior design projects in the areas of biosensors and instrumentation, molecular/cellular/tissue engineering, and digital and predicative medicine. Kavon received his PhD in Biomedical Engineering with focus in biomedical optics from Boston University under the mentorship of Darren Roblyer. In addition to his research activities in biomedical optics, Kavon is working on collaborative research efforts at the intersection of
engineering technology. Theuniversity has admitted 650-750 incoming first-year students in engineering and 350-500 inengineering technology over the last few years. The public M1 university (referred to as“Medium Public University” in the paper) offers undergraduate degrees in engineering. Duringrecent years, it has admitted 650-750 incoming first-year engineering students. Both universitiesoffer degrees in a range of engineering disciplines including biomedical, chemical, civil,computer, electrical, engineering science, industrial, and mechanical.3.2 Data collection As the goal of this study is to explore faculty perception of engineering students’ mathreadiness, all engineering (including engineering technology) faculty members
Constructivism and Mental Models theory, he examines collaborative approaches to systems thinking. As part of his research assistantship, he contributes to projects aimed at improving doctoral engineering student retention, advisor relationships, and laboratory transitions, enhancing graduate student success and academic experiences.Dr. Matthew Bahnson, Purdue University at West Lafayette (COE) Matthew Bahnson completed his Ph.D. in the Applied Social and Community Psychology program in at North Carolina State University. His previous training includes a B.A. in Psychology from the University of Northern Iowa and an M.A. in Social Sciences from the University of Chicago. Matthew’s research focuses on sociocultural inequality
Paper ID #48324Data-Driven Insights into AI-Powered Learning: Analyzing Student Interactionswith AI-bot in Engineering EducationAbdulrahman AlRabah, University of Illinois at Urbana - Champaign Abdulrahman AlRabah holds a Master of Science (M.S.) in Computer Science from the University of Illinois at Urbana-Champaign and a Bachelor of Science in Mechanical Engineering from California State University, Northridge. With experience across various industries, including oil and gas and co-founding a food & beverage company, his research focuses on optimizing AI feedback through customized large language models (LLMs) and
. In 2018, a Sankey Diagram analysis revealed that about half of the 1st- and 2nd-year students whose major was CE or EnvE were transferring to other majors. During the 2021- 22 academic year, the school underwent a comprehensive academic program review by a team of academic and industry leaders. One of the key recommendations by the team reflected a deep concern about undergraduate enrollment and retention, stating the following: “The weak student enrollments at the undergraduate level are a serious, existential threat that requires immediate and bold action by all the program leadership.” Such a statement from an external panel of experts, coupled with internal data-driven discussions, helped to convince the faculty of the
one study showing nearly 90% of students falling into thiscategory of us [1]-[4]. Studies show that nearly 90% of college students and instructors todayrefer to video platforms as an educational resource [5]. Although it may be seen as a temporarytrend, the reality is that video references are becoming increasingly commonplace creating aneed for more educators to participate in video development. From the perspective of contentcreation, demonstrating the use of a tool or the reaction of two chemicals are straightforwardconcepts that can be easily filmed. However, engineering educators are faced with the additionalchallenge of presenting more abstract materials that are loaded with industry specific jargon andknowledge prerequisites. Although
not merely about technical expertise; it is also about developing a sense of belongingto the engineering community and aligning oneself with its norms, values, and practices.Recent literature highlights the importance of academic experiences in the formation ofengineering identity. These experiences can include problem-solving tasks, group collaborations,and mentorship, which contribute to the development of both technical and personalcompetencies [8, 11, 12]. For many students, engineering identity is closely tied to theirengagement in authentic engineering practices that enable them to see themselves as part of thelarger engineering community. This process is often facilitated by experiential learning, hands-onprojects, internships, and
Paper ID #49070Motivation and Learning Strategies - What can university engineering designcourses do to help students and what must students do?Prof. David Knox, University of Ottawa David Knox is an Associate professor and a founding member of the new school of engineering design and teaching innovation at the university of Ottawa. An experienced designer and design manager in the Telecom industry, David is now dedicated to engineering design education and curriculum development. David’s current research interests include security, privacy, engineering design and education.Mr. Vignesh Kumar Karuppasamy, University of Ottawa
experiments. Upon completion of his Ph.D. he began working in the Aerospace Industry where he spent over 10 years as a Stress Analyst/Consultant. At present he enjoys working on Distributed Electric Propulsion (DEP) with his students, designing, analyzing, constructing and flying Unmanned Aerial Vehicles. Dr. Nader won a few awards in the past few years, among these are the College of Engineering Award of Excellence in Undergraduate Teaching (2023), Excellence in Faculty Academic Advising for the Department of Mechanical Engineering (2020). In addition, he is also a Co-PI on the NSF-supported HSI Implementation and Evaluation Project: Enhancing Student Success in Engineering Curriculum through Active e-Learning and High
activities. Thestudents should keep the same safety standards in mind during their free time, too. Incidents that deviatefrom these goals will cause negative consequences to varying extents, risking defeating the purpose of thetrip. The group dynamic is cultivated by the faculty’s guidance and fostered by the whole group. It isexpected that the faculty prepare emergency action plans before the trip and be mindful about potentiallyadapt the action plans when needed. The consequences of behavior issues should be clarified to thestudents from the very beginning so that the students will avoid causing such issues.Risk Management and Risk MitigationThe hierarchy of risk control in industrial processes, such as the framework proposed by OSHA [6
Engineer (TIER-1) and Program Management Engineer (OEM) in the automotive industry, he returned to academia in 2013, receiving his BSc (2017) and MSc (2023) in Business Psychology from H-BRS.Gesche Neusel, Bonn-Rhein-Sieg University of Applied Sciences Gesche Neusel studied Organismic Biology, Evolutionary Biology, and Palaeobiology (OEP-Biology) at the University of Bonn, specializing in Behavioral Biology. She now works at the Gender Equality Office of Hochschule Bonn-Rhein-Sieg, where she is dedicated to promoting and supporting girls in the fields of technology and computer science.Steven McAlpine, University of Maryland Baltimore County Steven McAlpine is an assistant teaching professor in the Entrepreneurship
. This report identifies critical skills, experiences, and bestpractices for nurturing innovative capacity. Of the six environmental factors mentioned in thereport as having a key role in innovation, our incubators supported three factors, includingexplicitly encouraging innovation, having physical spaces for free/informal discussions, andproviding the freedom to tinker.Several other activities besides the incubators expanded the breadth of learning during our REUprogram. For example, students toured an on-campus art museum and a commercialmanufacturing facility. They also learned about the scale of the chemicals industry withinteractive prompts. While these activities were key components of the program, they are not thefocus of this paper
over the past two decades and equallyimpressive achievements in gender equality. Indeed, in 2005, the government of Kazakhstanenacted a 10-year strategy to improve gender equality in the country [2]. At that time, coregender issues were related to a lack of awareness about the importance of gender equality anda strong belief in traditional gender roles. However, from the government side, there was alsoa lack of legislation protecting gender equality, and a lack of collaboration withnongovernmental organizations that promote women's rights [2]. In line with this strategy,the government has begun to incorporate gender-related concerns into the development ofnew policies.Equal career prospects are not only a moral but mostly an economic necessity
Communication with Michael Alley 2021 Career Preparation NSF Career & Personal Statements 2021 Career Preparation Career Opportunities in Community Science Center with 2021 Career Preparation Ismaiel Szink, Discovery Space Career Panel: “Oh the places you’ll go with a STEM degree” 2021 Career Preparation LinkedIn, Resumes, and CVs, Oh my! Both Career Preparation Industry opportunities as a graduate student: Co-ops & Network Building 2021 Internships
pathways to equity. The program culminates with an optional online competition with studentsubmissions judged by industry professionals. This program has been ongoing since the 2019-2020 school year, and program evaluation efforts have been undertaken since the program’sinception. Participatory evaluation framework principles were followed, including a process toobtain input from program leaders and staff to create program goals and a logic model that mapsout the program’s activities and how these link to the goals. The evaluation includes thecollection of data from all program participants (i.e., teachers, students, and judges) via onlinesurveys conducted immediately after the conclusion of the online competition. In these onlinesurveys