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
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
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
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
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
,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
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
(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
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
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
, 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
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
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
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
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
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
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
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
. ©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
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
bridge the gap between theoretical knowl-edge and hands-on experience within the confines of the classroom. VR has the power to immerseusers in interactive environments and provide them with unparalleled opportunities for learning, asevidenced by its success in several university courses [1]. In the field of aerospace engineering–where spatial thinking and three-dimensional visualization are essential skills– the potential forVR to enhance pedagogical methodologies is promising [2]. Recognizing this potential, this paperdetails the design, development, execution, and analysis of an experimental course on aerospaceengineering fundamentals taught using VR technologies. This study seeks to determine the impactof VR on student learning outcomes and
undergraduate architectural engineering programs beingdeveloped. By focusing on the accreditation programs provided by ABET (the AccreditationBoard for Engineering and Technology) and CEAB (the Canadian Engineering AccreditationBoard). In the U.S., the original accrediting body was the Engineers Council for ProfessionalDevelopment, which was founded in 1932. In 1980, the name was changed to the AccreditationBoard for Engineering and Technology and in 2005, the name was changed to the acronymABET [1], which is advised or sponsored by the Architectural Engineering Institute (AEI).CEAB was founded in 1965 as a subcommittee of Engineers Canada to ensure the quality of theengineering undergraduate programs delivered in the country [2].Based on the programs
understanding the material and solving engineering problems as well as on theirdesire to become an engineer. Finally, students were asked how often they felt specific emotionswhile using the zyBook, such as interested, distressed, excited, and ashamed. The student surveydata showed that the majority of students reported that the interactive elements contributed totheir success in the course and the zyBook increased their understanding of the course contentand increased their confidence in solving engineering problems.IntroductionSelf-efficacy is grounded in a large theoretical framework known as social cognitive theory,which states that human achievement depends on interactions between one's behaviors, personalfactors, and environmental conditions [1
students to learn about real-world problemsthat can be solved by engineering design [1] – [5]. These programs are variable depending on theresources of the University: some programs have developed summer internships to provide aclinical immersion experience, while others have sought to bring the immersion during a moreconventional classroom setting [6]. Literature has reported that these programs which provideeffective immersion experiences result in an increase in students’ self-reported knowledge andskills, in addition to general confidence. These experiences often extend beyond needsidentification, as students connect with potential users and witness the community impact. It alsocreates room for interdisciplinary involvement, such as the
individual, empowerment”(Ladson-Billings, 1995, p. 160). Critical consciousness is the third tenet of Ladson-Billings’s(1995) CRP extends “a student’s efficacy in identifying STEM norms and practices that formvisible and invisible exclusionary barriers in STEM programs and STEM fields” (Castaneda,2019, p. 1). Unlike Freire’s initial focus on developing the critical consciousness of men,Ladson-Billings (1995) focused on students, specifically their challenging the status quo. Theseworks have facilitated the development of more contemporary frameworks for measuring andengaging in critical consciousness, especially in K-12 student development and research.Three Elements of Critical Consciousness Other contemporary formulations of critical
Integration, TechnicalAssessmentIntroduction Architectural engineering (AE) undergraduate programs, and more broadly, all engineeringprograms, provide authentic engineering design experiences through capstone courses [1-3]. Whenstructured properly [4], capstones provide excellent opportunities for assessing student knowledge [5],developing new leaders [6], bridging fundamental knowledge with practical settings [7], showcasinginnovative technologies and design approaches [8], and more. Compounding factors for AE capstones existacross the 27 ABET accredited programs in the United States, such as the types of courses offered, the levelof industry connection, the size of the program, the duration of the degree, and where the AE program issituated
students working onsoftware development projects?ParticipantsDuring Fall 2022, all participants went through a competitive application process to ensure themost productive learning environment. A total of 107 students applied to participate and 33students were interviewed. In the end, ten upper-level students majoring in computer sciencewere selected for the program (as shown in Table 1), and each student received a $2,500fellowship to lessen financial burdens. A technology company provided student fellowships.Students were required to participate during Spring 2023 (16 weeks) and commit approximately8-10 hours a week. Student teams were mentored by two faculty members to ensure that studentsreceived a quality learning experience.Table 1
, enabling them to save a significant amount oftime by benefiting from the insights presented in this paper.In this paper, the examined methods were divided into two broad categories: (1) pedagogicalmethods focusing on specified linear algebra contents such as “span”, “linearly independence”,“linear transformation”, etc., and (2) general instructional pedagogical methods focusing on thecourse instead of specific topics, such as “flipped classroom”, “active learning”, “technologyintegration” etc. We read more than 70 literatures and only included those methods that areapplicable for teaching engineering students in this paper. For instance, we excluded theliterature that investigated different approaches to master proofs of some linear algebra
: reflection, metacognitionIntroductionReflection is highly beneficial for both students and instructors in the engineering classroom [1].For students, reflection promotes self-directed learning and enhances their self-awareness of theirstrengths, weaknesses, and overall progress in achieving the learning objectives. Research hasshown that students who were trained to reflect on their work outperformed those who did nothave a similar opportunity [2]. For instructors, reflection allows for valuable insight intostudents’ learning processes, the identification of students’ needs, and the opportunity to makenecessary adjustments to their teaching methods for improved student outcomes.Based on Boud et al.[3], we define reflection as follows: "reflection is
grading for students with thelowest diagnostic scores going into Calculus I. The final exam itself was structured to containboth straightforward, single-concept “Level 1” questions and more challenging, multi-stepquestions that blended multiple topics, “Level 2” questions. There was no significant differencein the performance between students with traditional grading vs. mastery grading for either levelof questions.IntroductionThe vast majority of students entering the school of engineering at our university take Calculus IIor III in their first semester. However, the number of Calculus I students rose sharply during thepandemic, ultimately reaching 23% in Fall 2023. Students who do take Calculus I enter with awide range of high school math