technical knowledge as well as account for the social and contextual factors thatboth shape and are shaped by engineering processes and solutions. There are numerous calls(e.g., [1] - [5]) for engineering education to help students develop what we refer to as sociallyengaged engineering skills - which relate to conducting engineering work from a holistic andinclusive perspective by gathering, utilizing, and equitably applying rich and diverse contextualinformation about stakeholders, communities, ethics, the environment, and economic factors.Engineering training, long rooted in technocentric views about the nature of work in the field,has typically stressed the development of technical competencies while underemphasizingsocially engaged aspects of
account for44 more than 60% of greenhouse emissions [1]. ASEE 20244546 Furthermore, while the IPCC and other reports highlight an underlying need for environmental47 conservation and a reduction in consumption patterns worldwide, there are still more than 2 billion48 people around the world without access to safely managed drinking1 water and managed sanitation49 services, around 1.8 billion do not have adequate access to housing, and there are more than 7050 million children engaged in hazardous child labor around the world [2]. Based on these challenges,51 the engineering community has responded with both research and educational initiatives that have52 adopted the language of
environmental stimuli. In this project, he will lead multimodal behavioral data collection, processing, and analyses to assess children’s learning and affective behaviors.Mohammad Faizan Sohail, Northern Illinois University ©American Society for Engineering Education, 2024Integrating Playful Learning: An Augmented Reality Approach to EnhanceComputational Thinking in Young Learners Jaejin Hwang1*, Yanghee Kim2, Sungchul Lee3, Joshua Mosher4, Nikitha Koradala5, and Mohammad Faizan Sohail1 1 Department of Industrial and Systems Engineering, College of Engineering and Engineering Technology, Northern Illinois University, DeKalb, IL 2
, organizational structures,presentation/analysis/interpretation of lab data, use of primary and secondary sources, anddocument style design). We identify the prior writing knowledge and skills of the two distinctfirst-year writing-intensive course sites by investigating obvious points of productive transfer.This study provides a better understanding of how undergraduates use writing knowledge andskills earned from varying first-year writing-intensive contexts when writing their engineeringlabs.1. IntroductionMany engineering programs require students to take writing-intensive courses such as first-yearcomposition (FYC) to establish fundamental academic writing knowledge and skills at thebeginning of their programs of study [1]. Although engineering
were small,negative, and non-significant. The classroom environment results were more favorable foradaptive learning, with four of the seven environmental dimensions having notable positiveeffect sizes. In this article, we present information on the development and implementation ofadaptive lessons in the RealizeIT adaptive platform as well as assessment outcomes by schooland for the schools combined.1. IntroductionFlipped instruction offers the potential for enhanced learning during class by enabling problem-solving and other types of active learning. However, active learning is dependent on sufficientpre-class preparation. This challenge motivated the present research, in which we aimed tosupport pre-class preparation through personalized
loopshowing reinforcing relationships among critical consciousness, values and beliefs,actions, and collective well-being.IntroductionThe Computer Engineering program (CPE) is one of 13 degree programs offered in theCollege of Engineering at California Polytechnic State University. It is the 2024 number onecomputer engineering program at a non-doctorate granting institution according to U.S.News & World Report [1], and is known for its Learn by Doing approach to education. Ourgraduates are highly sought after, and many graduates pursue full-time employment withlarge tech companies. The program is in demand for incoming students. On average, CPEreceives 1500 first-time freshman (FTF) applications, and enrolls 100 FTF students. CPEonly graduates 70
strategy for increasing access to the educational benefits ofresearch for a larger and more diverse student population [1], [2]. Embedded into thecourse curriculum, CUREs provide students with the opportunity to work collaboratively,to use iterative scientific practices, and to conduct research that is relevant to the society atlarge [3]. In spite of a large number of studies reporting the positive impact of CUREs onstudents enrolled in STEM 4-year programs, little is known about the benefits that CUREshave on students attending 2-year institutions [4]. CUREs represent a new paradigm inSTEM education at community colleges. Community colleges have a dual mission; toprepare students for transfer and for entering the workforce. Despite a relatively
-studentinteractions are crucial for retaining students in STEM fields [1] [2]. This paper evaluates theASES program's inaugural year, detailing the operational challenges encountered and the insightsgained from its implementation.2.0 Program DescriptionThe ASES program embodies best practices from existing literature to assist academicallycapable, low-income students in transitioning into the engineering discipline. It aims to foster asense of belonging and develop a strong engineering identity among participants by cultivating acommunity through various activities and events. These gatherings allow students to connect,socialize, and exchange experiences. To further support integration into the field, students areencouraged to enroll in shared math and
. As a capstone, teachers developed research projects synthesizing this interdisciplinarycontent with their own interests and background. As a result, the teachers have submitted severalposters with abstracts to the 2024 ACM SIGCSE and IEEE ISEC conferences and will bedelivering grant-related lessons in their classes during the current academic year.1 Introduction and MotivationDeveloping and understanding data fluency is increasingly important given the rapid changesrelated to living, learning, and working in the knowledge society of the 21st century. Meeting thiscommitment requires well-prepared teachers with proper support, including tools and resources,and yet, professional development and teacher preparation around data fluency is spotty
of belonging [1] [2]. Sense of belonging generally relates to self-perceptions of fit within a given context and has been well established as a theoretical constructthroughout the literature [3] [4]. The context in question can be formal, such as an educationalsetting or STEM discipline, or informal, such as friendships or affinity groups. The positiveimpacts of a strong sense of belonging on academic achievement and persistence in STEMmajors are well documented [5] [6] [7]. When students interact in positive ways with diversepeers, sense of belonging improves [8]. The term student engagement refers to the extent towhich students invest, value, and participate in their educational experience in a meaningful way[8] [9]. The positive outcomes
a pathway to recruit students to robotics and engineering careers.IntroductionPre-college robotics programs are common precursors to majoring in engineering [1]. However,gender disparities persist across engineering disciplines. The fact that girls do not participate inpre-college robotics at the same rate as boys has been proposed as a bottleneck for girls enrollingin engineering majors [2]. When girls are not part of extracurricular robotics programs, they missvital opportunities to develop tinkering self-efficacy and join engineering majors includingmechanical and electrical engineering [3]. Alternatively, bioengineering and biomedicalengineering (BME) programs graduate ~40% women students each year [4]. Diversity in BME iswell studied
Professor (Educational Psychology) in the College of Applied Human Sciences at West Virginia University. He teaches courses related to quantitative methods, applied statistical analysis, and self-regulated learning. His research examines methods of promoting learning strategy use and success among students traditionally underrepresented in postsecondary education. ©American Society for Engineering Education, 2024 1 Work in Progress: Metacognitive Intervention to Improve Problem Solving Skills in First-Year Engineering StudentsIntroductionEngineers are trained to solve problems with different levels
. Sunghwan Lee1, and Dr. Daniel Leon-Salas1 1 Purdue University (West Lafayette, IN, USA) * Corresponding Author (lbosman@purdue.edu)1. IntroductionThe NSF REU Site program context was entrepreneurial development and applied energy researchwhere participants were introduced to a graduate school like experience by simultaneously gainingentrepreneurial training via customer discovery interviews, market analysis, and patent research,and at the same time conducting lab research within the energy field.Data collection methods included weekly photovoice reflections, retrospective surveys, and focusgroups. The focus of data collection was to assess student
conditions, is an important factor in engineeringstudent success and persistence. Undergraduates in transportation engineering face exceptionallydifficult technical courses comprising sophisticated mathematics, complex physics, and appliedcivil engineering mechanics, which can weaken confidence and self-belief. According to studies,learners who lack confidence in their skills to understand key ideas, use analytical toolseffectively, and apply information to real-world systems are more likely to struggle academicallyor drop out of programs before graduation [1]. As a result, developing instructional approachesthat promote self-efficacy is crucial for transportation engineering student retention andworkforce development.Self-efficacy has been found to
activities are not typically offered to students outside thescholarship program. In this paper, we will report on past graduates’ perceptions of those“personal and professional development” activities, gathered via a survey of alumni. We seek tounderstand which activities the past students feel have been advantageous to them, and whichmight be less so. The goal of the paper is to provide thinking points for other scholarshipadministrators who might wish to consider inclusion of similar activities.IntroductionThe SEECS (Scholars of Excellence in Engineering and Computing Studies) scholarshipprogram, as approved and funded by the National Science Foundation (Award No., 1107015,1153250, 1643869, and 2221052). [1-3], has four project goals. These four
of excellence in science, technology, engineering, and mathematics (STEM) requiresstudents’ sustained enthusiasm and commitment. However, the high rate of dropouts andtransitions to other majors implies that students struggle with maintaining motivation in STEMdisciplines. Indeed, longitudinal research suggests that motivation tends to decline over time inSTEM fields, particularly in introductory courses that serve as gateways to graduation. Thisdecline in motivation can, in turn, result in decreased academic performance and hinderedprogress toward degree attainment [1]-[2]. This motivation loss may be even more substantial forBlack, Latine, Native American, and first-generation students (i.e., marginalized students).Despite starting STEM
taken hold in the UnitedStates. The authors suggest that youth, particularly ones belonging to under-represented groupssuch as students of color, young women, and low-income students are in particular need oflearning on computer science education as they often lack less access and support (Salmon,2023). The findings of work by Ryoo (2019) reveal that: “(1) demystifying CS by showing itsconnections to everyday life; (2) addressing social issues impacting both CS and students’communities; and (3) valuing students’ voices and perspectives” (p. 1) are useful in motivatingand engaging youth in CS education.Implementing culturally relevant professional development opportunities through research-practice partnerships seems a useful approach to gaining
approach can be used to highlight barriers to pursuing awider array of curricular pathways.IntroductionThe National Science Foundation RED grant program was designed to make revolutionarychanges at the department level in engineering programs. When talking about change, peopleoften consider changes on a spectrum from "revolutionary" to "evolutionary", depending on thedegree of change they introduce and its impact on existing paradigms, systems, or knowledge.On the revolutionary end of the spectrum, changes are broadly agreed to have several commoncharacteristics. First, revolutionary ideas often result in a paradigm shift, fundamentallychanging the prevailing systems, theories, or beliefs in a field [1]. Second, revolutionary ideashave the
-university partnerships and understanding the contextualnature of rural education in Southwest Virginia. Although necessary, creating engineering andtechnical career pathways for Appalachian youth on a large scale is difficult in the context ofbroader systemic issues. Previous research shows that sparking interest in engineering is notenough to inspire individuals to explore engineering as a career option. Recent efforts havehoned in on meeting teachers’ needs related to integrating engineering into their K-12classrooms. The following areas of research have emerged as the primary focus of grant work inthe past year: 1. Understanding teacher needs related to integrating engineering into their classrooms through relationship-building and
[1], it is paramountfor engineering education to grow into a more inclusive and innovative practice to fulfill societalneeds. While some progress has been made in introducing innovation during the first and fourthyears of undergraduate education, the middle two years, burdened with core engineering courses,have seen limited change [2]. As we re-develop these courses, integrating “innovativeentrepreneurship” in parallel with social ethics and EDI could be a great catalyst for positivechange. Literature has shown its inclusive impact on the job market [3] and the economies ofnations [4]. Education based on an entrepreneurial mindset relies on collaborations acrossdisciplines, effective group work and productive communication [5], all pillars
graduates, many from traditionally underrepresented groups, who were preparedto be innovators and managers in industry. An intrapreneur is someone who is entrepreneurialwithin an existing organization. The combination of faculty and industry mentorship, workforcedevelopment seminars, an industrial internship, entrepreneurship programs, and scholarshipsproduced graduates who were sought after by various engineering sectors. Industrial partnersprovided mentorship, funding, and employment to the scholars.The project incorporated evidence-based practices and previous research that had shown that: 1. Mentoring is vital to foster underrepresented groups’ retention in undergrad courses, graduate school, and the professional workforce [1]. [2] 2
and Challenges in the First Year of ImplementationThe Nassau Community College and Hofstra University Integrated Achievement and Mentoring(iAM) Program is an NSF Scholarships in STEM (S-STEM) Track 3 (multi-institution) fundedprogram built on the theoretical framework of legitimate peripheral participation [1] with anemphasis on inclusivity, community, and belonging [2]. The iAM Program has increased Scholarretention, academic performance, and engagement with student support services relative to peers.The program received NSF funding in 2022 to include a collaboration between NassauCommunity College (NCC), a local two-year community college, and Hofstra University (HU)to create a seamless pathway for students from local
abilities, simulation, problem-solving, andcomprehensive perception.Keywords: Mixed Reality, HoloLens, Spatial Visualization, Engineering, Learning1. IntroductionSpatial visualization, also known as spatial-visual ability, is a complex process that combinesvisual perception and mental imagery, enabling individuals to mentally visualize and manipulatethree-dimensional (3D) objects [1]. Developing spatial-visual ability is crucial in STEMeducation, particularly in conceptualization processes involving cognitive thinking andunderstanding abstract concepts [2]–[4]. Among various scientific fields, engineering disciplines 2024 ASEE Annual Conferencespecifically demand a high level of spatial visualization proficiency
engineers remains significantly low [1, 2] . This CISTEME365 NSF I-TEST Strategies initiative seeks to improve the rates of female, minority, and/or low-incomestudents entering STEM majors and careers. Over the past five years, we have been building anetwork of school-based teams called IDEA (Inclusion, Diversity, Equity, and Access) teams,made up of teachers, counselors, and administrators, who share a common focus of addressingSTEM inequities at the school level. Key components of this initiative include year-roundprofessional development focused on creating equitable and inclusive STEM advising andlearning environments through non-competitive STEM clubs, access to materials and training inproject-based electrical and computer engineering
experiencing, that are preventing them from implementing or institutionalizing someimportant elements of their RED projects. The obstacles were identified and analyzed from fourperspectives, informed by Bolman and Deal’s (2008) four frame model for understandingorganizational challenges. In Bolman and Deal’s model, the four cognitive frames include: (1)the structural frame, which is focused on rules, goals, policies, and technologies of anorganization; (2) the human resources frame, which is focused on the needs and skills of thepeople in the organization, as well as the relationships between them; (3) the political frame,which is focused on the sources of power, conflict, and competition, as well as on allocation ofscarce resources; and (4) the
lectures, lab experiments,and/or design projects. Practical course projects can motivate students’ interests in vibrations andhelp reinforce the lessons learned in class. However, due to the complexity of vibrating systems,numerous steps are taken to simplify these projects, making them achievable in a typical 16-weeksemester. There are instances where instructors have created vibrations projects utilizingsimulation software such as Simulink, MATLAB, Python, Ansys, etc. [1-3]. While simulationshelp students analyze vibrations systems, faculty in the Mechanical & Industrial Engineering(MEIE) Department at the University of Wisconsin-Platteville wanted to promote further in-depthstudent learning by incorporating projects that built off the
three sections that: (1) asks students to write apaper on a treatment plan including an orthopedic implant for a provided patient profile, (2) createa presentation presenting this plan to the stakeholders, and (3) determine the biomechanicalproperties that the implant and any selected materials need to satisfy. Using a pre- and post-projectsurvey from two cohorts of students, we determined the effectiveness of the assignment andgauged the extent to which students believed that their demographics influenced their motivation.Demographic-based influences are defined here as whether students believe that they are moremotivated to be successful in their major based on their race, gender, community, etc. Our datademonstrate that EML scores, which is
States Military Academy take CE450, Construction Management,typically during their junior or senior year (of note, less than 1% of the students in the course areenrolled as sophomores). The distribution of academic majors among the students in the courseis a mix between civil engineering, other STEM, and a variety of non-engineering majors. Thismixture of academic major representation in the course is a result of an institutional graduationrequirement that all non-engineering major students take a 3-course engineering sequence ofclasses. CE450, Construction Management, is one of the courses in the infrastructureengineering sequence of classes for the other STEM and non-engineering major students, and itis a required course for the civil
in Higher Education While artificial intelligence (AI) has existed in some form since the 1930s, the pace ofadvancements has accelerated significantly in the last decade. Modern AI is rooted in AlanTuring’s theory of computation, which defined the “Turing machine” as a set of logical rules thatcould, generally, be used to compute solutions to nearly any problem [1]. The set of logical rulesknown as the Turing machine later developed into the concept of neural networks, the backboneof most AI technologies today. Many major AI tools today are pre-trained to use a neuralnetwork to decipher a specified dataset; this automated process is called machine learning. Thispaper will centers on application of a subset of machine learning AI
the social model ofdisability, we are conducting three sequential studies. Study 1 analyzes the relationships betweenpre-college factors, college experiences, and academic success. Findings reveal that academicadjustment partially mediates the relationship between an ADHD diagnosis and first-year grades,suggesting instructors recognize and support first-year students’ differences in academicadjustment. Study 2 is a scoping literature review of the college experiences of students withADHD. It examines 2,589 articles, resulting in 40 fully examined and coded articles. Analysis isunderway, but preliminary findings of the 40 articles indicate a wide range of definitions andstudy types, limited application of theory, and considerable