Conference Session

Innovating Inclusivity: Rethinking Access and Empowerment in STEM Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Udayan Das, Saint Mary's College of California; Christopher Isaac Fulton

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

Paper ID #41267An Experience Report on Reducing Barriers by Removing Prerequisites fora CS 1 Introductory Programming CourseDr. Udayan Das, Saint Mary’s College of California Udayan Das is an associate professor and program director in computer science. Dr. Das’s main area of research is Technical Language Processing (TLP). Current NLP approaches and LLMs are inadequate to dealing with the complexity of technical text that needs to be reasoned on in such a manner that the accuracy of the automated reading can be relied upon and the cross-referentiality of technical documentation can be captured. His current research is

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Aaron W. Johnson, University of Michigan; Corin L. Bowen, California State University, Los Angeles; Elizabeth Ann Strehl, University of Michigan; Sabrina Olson, University of Michigan; Ricardo Elias, California State University, Los Angeles

Tagged Topics

NSF Grantees Poster Session

curricula at many universities is any acknowledgementof macroethics, the ways in which engineering impacts society positively and negatively [1]. Forexample, aviation makes the world a smaller place, but aircraft emissions also contribute toclimate change [2], [3]. Satellite internet megaconstallations provide internet access to placesthat were previously unconnected, but also contribute to light pollution that negatively impactsastronomy [4]–[6]. And, many career pathways in the aerospace industry relate to military andweapons technology design, development, operations or maintenance, resulting in significantmacroethical dilemmas regarding the interconnections between engineering and violence [7], [8].Without putting aerospace engineering in its

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Susan M Lord, University of San Diego; Cynthia J. Finelli, University of Michigan

Tagged Topics

NSF Grantees Poster Session

instructional resources) for theintroduction to circuits course.In year 1, we developed and refined modules on (1) conflict minerals and (2) the circulareconomy and electric vehicle (EV) batteries. We piloted both modules in one of the principalinvestigator’s (PI’s) classes at the University of San Diego (USD) a small private institution withabout 20 students and one module at the other PI’s large public institution (University ofMichigan) with over 150 students. We developed a survey which we administer at the beginningand end of the semester to assess students’ attitudes toward social responsibility and engineering.We will use student feedback to refine the modules and explore the experiences of theengineering instructors and students who engage with

Conference Session

Transformative Learning in STEM: Accessibility, Social Impact, and Inclusivity in Higher Education

Collection

2024 ASEE Annual Conference & Exposition

Authors

D. C. Beardmore, University of Colorado Boulder; Angela R Bielefeldt, University of Colorado Boulder

Tagged Topics

Diversity

Tagged Divisions

Culture & Social Justice in Education Division (EQUITY), Equity

in the Department of Civil, Environmental, and Architectural Engineering (CEAE) and Director of the Integrated Design Engineering (IDE) program. The IDE program hosts a BS degree in IDE accredited by the ABET EAC under the general criteria and a new PhD degree in Engineering Education. Bielefeldt is a Fellow of the ASEE and a licensed P.E. in Colorado. ©American Society for Engineering Education, 2024 The Paint Bucket Model of Dis/ability in STEM Higher Education: Axioms 1-3AbstractDis/ability is a complex, evolving, and nuanced concept. Recognizing the absence of a cleardefinition of dis/ability, the first author proposed a “paint bucket dis/ability

Conference Session

Instructional Showcase

Collection

2024 ASEE Annual Conference & Exposition

Authors

Tiffany Davis; Nea Sann; Mia Dubosarsky, Worcester Polytechnic Institute; Shakhnoza Kayumova, University of Massachusetts Dartmouth; Katherine C. Chen, Worcester Polytechnic Institute

Tagged Topics

Diversity, Professional Interest Council (PIC)

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

Paper ID #42929Rosie’s Walk: A Culturally Responsive Computational Thinking PK-1 Challenge(Resource Exchange)Tiffany DavisNea SannDr. Mia Dubosarsky, Worcester Polytechnic Institute Dr. Mia Dubosarsky has been a science and STEM educator for more than 20 years. Her experience includes founding and managing a science enrichment enterprise, developing informal science curriculum for young children, supporting Native American teachers in the development of culturally responsive science and math lessons, developing and teaching graduate level courses on assessment in science education, and working with thousands of educators

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Julie Aldridge, The Ohio State University; Nicole Else-Quest, University of North Carolina at Chapel Hill; So Yoon Yoon, University of Cincinnati; Joe Roy, American Society for Engineering Education

Tagged Topics

Diversity, NSF Grantees Poster Session

,including gender, race/ethnicity, and sexual orientation [1], considered within the context ofengineering doctoral education. Drawing on organizational climate research and intersectionalitytheory, the project aims to use a student-centered approach to shed light on the specificorganizational climate present in doctoral engineering department by engaging with studentsfrom diverse groups. We aim to answer three research questions: 1. What focused climates arepresent in doctoral engineering departments? 2. How do climate perceptions differ byintersecting social categories? 3. How do climate perceptions relate to organizationalcommitment to degree completion? For this project, we intend to reintroduce organizational climate science into

Conference Session

Aerospace Division (AERO) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Yilin Feng, California State University, Los Angeles

Tagged Topics

Diversity

Tagged Divisions

Aerospace Division (AERO)

Paper ID #42470Board 1: Empowering Underrepresented Minority Students in One AviationProgram: Integrating a National Airport Design Competition into the CurriculumDr. Yilin Feng, California State University, Los Angeles Yilin Feng is an assistant professor at California State University, Los Angeles. She received her Ph.D. degree from Purdue University. Her research interest is in airport simulation, operation, and management. ©American Society for Engineering Education, 2024 Empowering Underrepresented Minority Students in One Aviation Program

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ryan Solnosky P.E., Pennsylvania State University; Roy B. Clariana, Pennsylvania State University

Tagged Topics

NSF Grantees Poster Session

(40% vs. 39%) and especially like peers in the other group (72%). These findings show thatwriting-to-learn with GIKS with immediate network feedback improves conceptual knowledgeas expected but at the cost of detail.Keywords: Writing to learn, conceptual knowledge, group networks, architectural engineering,quantify written work.Introduction Conceptual understanding of core engineering fundamentals enables engineers to predicthow a system will behave, to determine appropriate solutions for problems, to choose relevantprocesses for design, and to explain how the world around them works [1]. While conceptualunderstanding is key, newly entering college students and even recent graduates commonlymisperceive significant engineering concepts

Conference Session

Track 4: Technical Session 5: Using a Summer Bridge Program to Develop a Situational Judgment Inventory: From Year 1 to Year 2

Collection

2024 Collaborative Network for Engineering & Computing Diversity (CoNECD)

Authors

Malini Josiam, Virginia Tech Department of Engineering Education; Walter C. Lee, Virginia Polytechnic Institute and State University

Tagged Topics

CoNECD Paper Sessions, Diversity

Paper ID #40700Using a Summer Bridge Program to Develop a Situational JudgmentInventory: From Year 1 to Year 2Ms. Malini Josiam, Virginia Tech Department of Engineering Education Malini Josiam is a Ph.D. candidate in Engineering Education and a M.S. student in Civil Engineering at Virginia Tech. She has a B.S. in Mechanical Engineering from UT Austin (2021). Her research interests include improving equity in engineering and sustainability.Dr. 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

Collection

2024 ASEE Midwest Section Conference

Authors

Jonathan Janecek; Christian Sunderland; Laurel Wagner; Rachael Wagner; Sangjin Ryu; Moeto Nagai; Yong-Joon Choi; Ik-Hyun Kwon; Rifat H. Chowdhury; Ryoma Mibu; Tomoya Ide

2024 ASEE Midwest Section Conference US-Japan NSF IRES Program for Developing Portable Point-of- Care Testing Devices: Research Outcomes of Year 1 Jonathan Janecek1*, Christian Sunderland2*, Laurel Wagner1*, Rachael Wagner1*, Sangjin Ryu1, Moeto Nagai3, Yong-Joon Choi3, Ik-Hyun Kwon3, Rifat Hussain Chowdhury3, Ryoma Mibu3, Tomoya Ide3 1 University of Nebraska-Lincoln / 2Nebraska Wesleyan University / 3Toyohashi University of Technology, Japan / * Co-first authors with equal contributionsAbstractSupported by the International Research Experiences for Students (IRES) program of

Collection

2024 ASEE Midwest Section Conference

Authors

Sangjin Ryu; Jessica Deters; Jonathan Janecek; Christian Sunderland; Laurel S. Wagner; Rachael Wagner

2024 ASEE Midwest Section Conference US-Japan NSF IRES Program for Developing Portable Point-of- Care Testing Devices: Preparation and Experiences of Year 1 Sangjin Ryu1, Jessica Deters1, Jonathan Janecek1, Christian Sunderland2, Laurel S. Wagner1, & Rachael Wagner1 University of Nebraska-Lincoln (UNL) / 2Nebraska Wesleyan University 1AbstractThe International Research Experiences for Students (IRES) program of the National ScienceFoundation (NSF) focuses on developing a diverse, globally engaged STEM workforce throughinternational research experiences. This NSF IRES project aims to develop a portable point-of-care

Conference Session

Engineering and Public Policy Division (EPP) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Trina L. Fletcher, Florida International University; Simone Nicholson, Florida International University; Christopher Alexander Carr, George Mason University; Tina Fletcher; Brittany Boyd

Tagged Topics

Diversity

Tagged Divisions

Engineering and Public Policy Division (EPP)

Paper ID #41098Race to R1: An Analysis of Historically Black Colleges or Universities (HBCUs)Potential to Reach Research 1 Carnegie Classification® (R1) StatusDr. Trina L. Fletcher, Florida International University Dr. Trina Fletcher is an Assistant Professor of Engineering and Computing Education at Florida International University and the founder of m3i Journey, a start-up focused on research-based, personalized, holistic, innovative, relevant, and engaging (PHIRE) financial literacy education. She serves as the Director of the READi Lab (readilab.com) where her research portfolio consists of equity, access, and inclusion

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

John Alexander Mendoza-Garcia, University of Florida

Tagged Divisions

Computers in Education Division (COED)

leaders have called for incorporating thedevelopment of professional skills, like problem-solving for open-ended engineering designproblems, across all the different engineering courses. Following such a call, I, the author of thispaper, incorporated an engineering design project into the Computer Programming for Engineerscourse taught at University of Florida for two semesters, hoping that such instructionalintervention positively impacts students' problem-solving skills.2. Frameworks2.1 Conceptual Framework2.1.1 Social Problem-solvingThere are many ways in which literature has defined problem-solving; still, assessment tools formeasuring such skills are scarce. In this study, I used a model developed by D'Zurilla et al. [1] inwhich their team

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mariza Tsakalerou, Nazarbayev University; Michalis N. Xenos, University of Patras; Semira Maria Evangelou, University of Patras

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

, demographic surveys, and three tasks. Descriptive statistics and statistical tests provide insights.Performance discrepancies between IT and non-IT backgrounds are statistically significant. Feedback indicatespositive perceptions of low code. 1. Introduction In recent years, the intersection of technology and education has undergone a profound transformation, withemerging paradigms reshaping traditional approaches to teaching and learning. One such paradigm that hasgarnered increasing attention is low-code development—a revolutionary approach to software creation thatempowers individuals, regardless of their technical background, to design and deploy fully functional applicationswith minimal coding expertise. Low-code platforms provide

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jialiang Tan, Lehigh University; Yu Chen, Independent Researcher; Shuyin Jiao, North Carolina State University

Tagged Divisions

Computers in Education Division (COED)

selecting VS Code and our approach to introducing it to engineering students. To assist students with diverse programming backgrounds, we provide comprehensive guidance with hierarchical indexing. By seamlessly integrating VS Code, known as a rich text editor, with a selection of extensions, our aim is to streamline the learning process for students by enabling it to function as an IDE. We perform an experimental evaluation of students' programming experience of using VS Code and validate the VS Code together with guidance as a promising solution for CS1 programming courses. 1. IntroductionIntegrated Development Environments (IDEs) play an important role in learning a

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Wenhai Li, Farmingdale State College; Yue Hung, Farmingdale State College; Reiss Guttman, Farmingdale State College; Sen Zhang, State University of New York, Oneonta; Ning Yu, State University of New York, Brockport

Tagged Topics

Professional Papers

curriculum presents several unique challenges. These challenges arisefrom both the structure of the current MET program and the specific learning needs of MET students.Firstly, the existing MET catalog is already packed with essential courses, making it difficult to introducenew AI/ML courses. Teaching the full spectrum of AI/ML, from theory to coding, typically requires 1 Fall 2024 ASEE Middle Atlantic Section Conferencemultiple courses. However, with limited space in the program, adding one or more dedicated AI/ML coursesis a significant challenge. This would require a complete curriculum overhaul, which may not be feasiblegiven the current structure.Secondly, most

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Abdullah Konak, Pennsylvania State University, Berks Campus; Sadan Kulturel-Konak, Pennsylvania State University, Berks Campus

Tagged Topics

Diversity, Professional Papers

, have emerged as critical platforms for fostering creativity, problem-solving, andentrepreneurial skills among engineering students. These events not only provide participantswith opportunities to apply their technical knowledge and collaborative abilities but also exposethem to real-world challenges that mirror those faced by professionals [1]. A recent study alsofound that ICPs improved students self-awareness and open mindedness [2]. However, despitetheir potential benefits, ICPs are often accompanied by significant barriers that may hinder thebroad participation of all student groups, especially underrepresented students in STEM.Addressing these barriers is crucial for creating inclusive and effective learning environmentsthat address the

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Zhou Zhang, SUNY Farmingdale State College; Yizhe Chang, California State Polytechnic University, Pomona

Tagged Topics

Professional Papers

) 1 has emerged as a revolutionary force, reshaping industriesand societies across the globe. At its core, Generative AI refers to a class of AI algorithms capableof generating new content, ideas, or solutions autonomously, often mimicking human creativityand ingenuity 2. This transformative technology has found applications in a myriad of sectors,including entertainment, healthcare, finance, and education 3, 4, 5, 6, 7 refer to Figure 1., Beyondthese examples, Generative AI continues to permeate various other sectors, from manufacturingand agriculture to transportation. Its ability to generate realistic simulations, optimize complexprocesses, and augment human capabilities holds immense promise for the future of work andsociety at large

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Heather Louise Lai, State University of New York at New Paltz

Tagged Topics

Diversity, Professional Papers

four-bar mechanism often involves multiple objectives and constraints, such asminimizing mechanical stress while maximizing motion efficiency or achieving a specificmotion trajectory. ML algorithms, particularly optimization techniques like Genetic Algorithms(GA), along with more advanced AI methods such as deep learning, can automate and improvethis process by efficiently searching through a large space of design possibilities. [1, 2, 3] GAsmimic natural selection processes, evolving better designs through iterations. In four-barmechanism synthesis, GAs can optimize the estimation of parameters related to link lengths andjoint positions to achieve desired motion profiles (e.g., coupler curve shape or motion path)without manually solving

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Gonca Altuger-Genc, State University of New York, College of Technology at Farmingdale; Akin Tatoglu, University of Hartford

Tagged Topics

Professional Papers

procedures for the examples along withassessment tools faculty can use to assess the examples.Introduction:The integration of Artificial Intelligence (AI) in education has been a growing trend in recent years,with early applications focusing on providing more efficient and effective ways to support thelearning process, such as automated grading and personalized learning [1]. As the incorporationof AI into education progressed, it also became a widely debated topic given the concerns oforiginality and plagiarism [2]. As the access to AI platforms such as ChatGPT is free and easilyaccessible and it is not possible to deny AI’s potential use by students to complete theircoursework. While these concerns are valid, it is crucial for educators to guide

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College; Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College; Fazil T. Najafi, University of Florida

Tagged Topics

Professional Papers

theirdevelopment as skilled communicators. Relying solely on AI can lead to a decline in criticalthinking and creativity. It is important to carefully consider the ethical implications of using AI-generated content, particularly in academic and professional settings, where the boundarybetween AI assistance and plagiarism could become less clear. Additionally, the potential misuseof personal information and data security concerns related to AI writing tools should bethoroughly examined. It's worth noting that AI tools may encounter challenges in understandingcomplex contexts, cultural references, and emotional subtleties, potentially leading tomisinterpretations in the generated content.The ”AI Writing Tools” used for the analysis are listed in Table 1

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sunjae Park, Wentworth Institute of Technology

Tagged Divisions

Computers in Education Division (COED)

programming language has long been a staple in college computing education. AlthoughJava and Python are popular languages, C is still a top programming language of instruction [1], [2].Even if the introductory courses are taught in other languages, many programs still provide coursesthat teach the languages, typically in systems programming courses or operating systemcourses [3]–[5].However, unlike Java or Python where there is a single authorative compiler, C programming issupported by many compilers, editors, and other tools. In addition, installing a C developmentenvironment has traditionally been challenging for Windows systems. As a result, some institutionsopt for installing the C development environment in a server and have the students

Conference Session

Technical Sessions 1

Collection

2024 Fall ASEE Mid-Atlantic Section Conference

Authors

Xiaojin Ye, State University of New York, College of Technology at Farmingdale; Nur Dean, Farmingdale State College, State University of New York

Tagged Topics

Professional Papers

, students will complete a labassignment (Lab 1) without any AI assistance to establish a baseline understanding. They willthen engage with ChatGPT to review Lab 1 questions, asking clarifying questions to facilitatetheir learning. Following this AI-assisted learning phase, students will complete a second labassignment (Lab 2), featuring similar questions but without AI support.The proposed study will analyze performance and behaviors associated with ChatGPT usage,aiming to illuminate the educational implications of AI integration. Ultimately, it seeks tounderstand AI's impact on computational thinking and overall learning efficacy while identifyingchallenges such as potential cheating and diminished learning outcomes. Additionally, it willexplore

Conference Session

Programming Education 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Chi Yan Daniel Leung, zyBooks, A Wiley Brand; Joe Mazzone, zyBooks, A Wiley Brand; Efthymia Kazakou, zyBooks, A Wiley Brand; Chelsea Gordon, zyBooks, A Wiley Brand; Alex Daniel Edgcomb, zyBooks, A Wiley Brand; Yamuna Rajasekhar, zyBooks, A Wiley Brand

Tagged Divisions

Computers in Education Division (COED)

instructor. However, often, a student would not complete the assignment during‬ ‭lab hours, so would have to wait for office hours to get an instructor's help. To submit, a student would‬ ‭upload the developed program files, then wait a week or more for grading to be completed and feedback‬ ‭to be provided.‬I‭ n the last decade, many auto-graded programming assignment systems have been developed, both in‬ ‭academia and commercially [1–4]. Such systems are often web-based, save instructor's time with grading,‬ ‭and provide students more rapid feedback. Such systems have enabled instructors to switch from‬ ‭assigning one-large-program to many-small-programming assignments each week, wherein each‬ ‭assignment was more focused on a

Conference Session

DSA Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Betul Bilgin, The University of Illinois at Chicago; Naomi Groza, The University of Illinois at Chicago

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

learning, and data visualization [1]. Thisintegration is crucial for handling the increasing complexity and size of data sets in chemicalengineering research and practice [2]. Data science has particularly impacted molecular sciencein chemical engineering, with applications in molecular discovery and property optimization [3].The development of a cyberinfrastructure for data-driven design and exploration of chemicalspace further underscores the potential of data science in transforming chemical research [4].The alignment of data analytics and strategy is transforming the chemical industry, with dataplaying a crucial role in production, research, marketing, and customer service strategies [5]. Theuse of big data and analytics in chemical

Conference Session

DSA Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmad Slim, The University of Arizona; Gregory L. Heileman, The University of Arizona; Husain Al Yusuf, The University of Arizona; Yiming Zhang, The University of Arizona; Asma Wasfi; Mohammad Hayajneh; Bisni Fahad Mon, United Arab Emirates University; Ameer Slim, University of New Mexico

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

widespread practice of publishing these curricula on public platforms. This trans-parency allows academic programs to benchmark their curricula against those offered by compa-rable institutions. For example, as depicted in Figure 1, we examine the undergraduate electricalengineering curricula of two major public U.S. institutions, both accredited by ABET 22 . Thesecurricula are structured into four-year (eight-term) plans, guiding students through their degreecompletion. We represent these curricula as graphical models, with vertices symbolizing coursesand directed edges indicating prerequisite requirements. Specifically, a directed edge from onecourse (vertex) to another mandates that the former, as a prerequisite, must be completed beforethe

Conference Session

DSA Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gregory L. Heileman, The University of Arizona; Yiming Zhang, The University of Arizona

Tagged Topics

Data Science & Analytics Constituent Committee (DSA)

know, un-derstand and be able to demonstrate at the end of some learning experience. For instance, ABETstipulates a minimal set of student learning outcomes that describe what learners should knowand be able to by the time they graduate from an ABET-accredited engineering program.1 It isalso now common practice to articulate course-level learning outcomes for each of the coursesoffered by a college or university; these indicate what a learner is expected to know and be ableto do after successfully completing a course. A common approach used by curriculum design-ers, known as backwards design, involves designing a curriculum from the bottom up by startingfrom the program learning outcomes, and then creating course-level objectives that would

Conference Session

DSA Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ahmad Slim, The University of Arizona; Gregory L. Heileman, The University of Arizona; Melika Akbarsharifi, The University of Arizona; Kristina A Manasil, The University of Arizona; Ameer Slim, University of New Mexico

Tagged Topics

Data Science & Analytics Constituent Committee (DSA), Diversity

thisstudy is crucial in understanding how these advanced techniques are applied to real-world data.The dataset employed in this study comprises a rich and diverse collection of student data from 30different universities. This data set includes several covariates or variables integral to understand-ing the educational landscape and student outcomes.3.1 Data DescriptionThe dataset features a range of variables designed to capture the multifaceted nature of studentexperiences and outcomes across various universities. These variables include: 1. Program Complexity: This is a discrete variable reflecting the complexity of each program that students attend at a given university. The complexity metric could encompass factors like the

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Rea Lavi, Massachusetts Institute of Technology; Aikaterini Bagiati, Massachusetts Institute of Technology; Gregory L Long PhD, Massachusetts Institute of Technology; M. Mehdi Salek; Amitava 'Babi' Mitra, Massachusetts Institute of Technology

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

. ©American Society for Engineering Education, 2024 Work-in-Progress: The Impact of an Interdisciplinary Experiential Learning Program on Undergraduate STEM Students’ Career Readiness1. Introduction1.1. Theoretical background1.1.1. 21st century skillsThe current era is marked by an increasing need for a new set of skills, often named genericskills or 21st century skills. Education researchers have recognized this need [1], as haveeducational bodies [2] and economic bodies [3]. However, fostering 21st century skills inundergraduate science, technology, engineering, and mathematics (STEM) students remains achallenge [4], with STEM graduates at times underprepared for what present-day STEMprofessions require [5]. An indication for

Conference Session

Multidisciplinary Engineering Division (MULTI) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sreyoshi Bhaduri, Amazon ; KENNETH OHNEMUS, Amazon; Jessica Blackburn; Anshul Mittal, Amazon; Yan Dong, Amazon; Savannah LaFerriere; Robert Pulvermacher; Marina Dias, Amazon; Alexander Gil; Shahriar Sadighi; Neerav Kumar, Amazon

Tagged Divisions

Multidisciplinary Engineering Division (MULTI)

exposure to the field through their college experience [1]. However, research suggeststhat engineering graduates may not be adequately prepared for the workplace due to thecomplexities of engineering work [2]. Engineering work involves complexity, ambiguity, andcontradictions [3], and developing innovation skills requires analyzing real-world problems thatare often ill-defined and multifaceted [4]. Therefore, it is essential for engineering students to haveopportunities to work in multi-disciplinary teams to develop their skills in problem-solving andinnovation. This emphasis on the need for exposure to multi-disciplinary problem solving holdstrue not only for undergraduate engineers in training, but also for graduate students focused