with low education achievement according to U.S. Census data[1]. As a result, students entering STEM programs have a low-level mathematical preparationand a low awareness of the relationship between mathematics and their respective STEMdisciplines. The four-course sequence of precalculus and single variable calculus is a serioushurdle for students to succeed in their respective STEM majors. Pre-grant assessment datashowed consistent low grades in this course sequence. Additionally, many students enteringCSUB place at the precalculus level and many students repeat one or more courses in thesequence, which delays their progress in their STEM majors.The majority of students taking the precalculus and calculus courses are STEM majors ratherthan
, one of the highest in thedepartment, where failure is defined as a student receiving a final grade of less than C-. Failurealso includes ‘unauthorized withdrawal’, which is designated on the transcript as ‘WU’. (A gradeof WU is usually given when a student stops coming to class and turning in assignments). Figure1 below shows the percentage of students who received D, F, or WU grades since 2008: Figure 1. Historical failure rates in ME 30. The average failure rate from fall 2008 to spring 2018 was 19.1%. Data for spring 2017 was not available. Prior to spring 2018, C was the language used to teach procedural programming concepts in ME 30. From fall 2018 to the present, Python is the language used. The boxed numbers correspond to
engineering applications is no exception. Someundergraduate engineering students struggle with early course work typically entrenched inlearning underlying mathematics. Students are often able to understand engineering principles,but are unable to understand the mathematics behind the principles. This is due to studentsfinding it difficult to make connections and apply mathematics outside of routine computationalcalculations. [1]Traditional instruction of mathematics has relied predominantly on teacher-centered pedagogiesor passive learning (e.g lecture). [2] Active learning differs in that it includes student-centeredapproaches that are “any instructional method that engages students in the learning process. Inshort, active learning requires
the power of AI to innovateand retrain its workforce? From an industry perspective, how should degree programs evolve tomeet the needs of the “real world”? Findings from this workshop can serve as a guide toresearchers and decision makers in academia, government and industry on how AI will transformboth STEM education and the workforce.IntroductionGiven today’s advanced technologies and the integration of evidence-based instructionalapproaches, an educational transformation is underway. These changes are also fueled by therecognition of the myriad of challenges facing education and in particular, issues in science,technology, engineering and math (STEM) 1. What and how we teach will directly impact ournation’s success, bringing into question
transformation, which presentsus with challenges of a new dimension, scale and scope. The environment for engineeringpractice is changing fast and irreversibly, impelled by the impact of rapidly expandinginformation technology, the globalization of markets and manufacturing, and the imperativesof environmental protection and sustainable development. The complexity inherent in thenewest technologies and their interaction with society has created the demand for a newapproach to undergraduate engineering education. At the end of the past century, the NationalScience Foundation issued a program announcement for an action agenda for a systemicengineering education reform [1]. The program pursued the strategy of a paradigmatic shift inengineering education
racial/ethnic majority group, while these differences were not as stronglyexpressed among underrepresented minorities. We also saw differences in how well women andmen think their courses are preparing them to engage in these design activities. The studycontributes new insights by examining the link between design confidence and courseexperience, as well as the relevance of other factors. IntroductionDespite years of research and intervention, women and some racial/ethnic minority studentscontinue to be underrepresented in engineering [1]. For instance, women earned less than onefifth of the Bachelor’s degrees in engineering and engineering technologies granted in the U.S. in2004 [2]. While
of thecontent.!Introduction!Davis, et al. point out in their extensive review of literature on the Challenges New ScienceTeachers Face,1 that there are appreciably high expectations when it comes to teaching science.Science teachers are expected to help students to develop “deep conceptual understanding … byengaging students in authentic scientific inquiry…” As a result, “Teachers must deviseexperiences that will help students construct understandings of natural phenomena…” Davis andco-workers document, often the instructors have limited background or time to prepare theseexperiences for their students, which in turn can adversely impact student interest.1 Davis, et al.suggest a number of supportive strategies and programs to assist science
problems, to work effectively in multidisciplinary teams, and to consider non-technical perspectives, long before the characteristics of the “Engineer of 2020”1 was everdefined.This paper discusses the EPP program over its four decades and how the program integrates withthe traditional engineering programs. We discuss the curriculum over time, the course selectionsstudents make, and the benefits our alumni receive from the program. We will give an overviewof our capstone EPP Projects course, a truly interdisciplinary teamwork situation addressingcurrent technology issues. Finally we reflect on how the program achieves the ABET (a) through(k) outcomes and work in the ABET system, and how the program has been successful these past40 years.We do not
practical application for math and science conceptsenhanced student learning. Teacher candidates and cooperating teachers were surveyed to assesstheir familiarity with the professions, the application of science and math to the professions andtheir perceptions surrounding their students’ abilities and interests. The paper describes theprogram, lessons learned and the assessment data.IntroductionThe Sandcastle Project was conceived as a means of introducing the design and constructionprofessions (architects, engineers, contractors) into local elementary school classrooms withoverall goals that were two-fold – 1) to provide elementary school teachers with real worldexamples of math and science to reinforce standard curricula and 2) to motivate
, 1920 Establishment of FCC Radio Act of 1912 Communication Act of 1927Figure 1. Time line of radio regulation history. Page 24.712.3III. Spectrum EfficiencyFrequency spectrum is a limited resource and the available spectrum needs efficient usage15.Efficient use is possible through careful allocating frequency bands without any waste of thespectrum. All of the available radio frequency bands have been assigned by the FCC to differentapplications such as public, commercial, and military services.To help the researches and growth of new wireless technologies, a few frequency bands areassigned as
challenges, this study amplifies the clarioncall for fostering participation and inclusivity in engineering doctoral programs.IntroductionPromoting diversity within the engineering workforce is a critical national priority, underscoringthe need for broader participation and the cultivation of inclusivity [1]. The infusion of diversityinto the field of civil engineering in the United States yields numerous advantages, including amultifaceted project perspective, heightened project value, the enrichment of knowledge, talent,and ideas, access to expansive networks, and the production of superior final products necessaryfor global competitiveness in infrastructure [2]. Consequently, achieving this imperative requiresa comprehensive examination of the
mastery experiences are not enough to build general computing self-concept. Sincea lack of computing confidence in women can cause negative attitudes towards the field ofcomputer science, future work should focus on ways in which this confidence can be increasedso as to try and minimize the number of women avoiding or leaving the field of computerscience.1. IntroductionThe gender gap in computer science is not a new problem. For over two and a half decades,women have earned less than 25% of bachelors degrees in computer science [1]. Diversityinequities such as this are a problem because they lead to computer science based innovationsthat are biased, like voice recognition software that cannot recognize female voices [2]. Theyalso take power away
AbstractFarmingdale State College (FSC) has taken a multi-faceted approach to tackle the issue of thelow number of women students enrolled in its computing degree programs. FSC has only 8-16%women enrolled in its computing degree programs over the past decade despite doublingenrollment in these programs during the same time. Recognizing the gender disparity incomputing is well-documented as a global and national issue, the three women in computinginitiatives (support programs) instigated at FSC from 2020 are as follows: 1) maintaining awomen in computing student club, 2) hosting summer orientation programs for womencomputing students, and 3) attending women in computing conferences. This study utilizes endof semester surveys as a quantitative tool and aims
performance.A student entering an engineering college in the 1980s may have heard the phrase, “Look to theleft, look to the right, only one of you will become an engineer.” While some of us may haveheard that phrase when entering college, today the aspirational objective should be, “Look to theleft, look to the right, all three of you have the opportunity to graduate as an engineer.”Several factors are creating challenges in meeting this aspirational objective: student preparation,student demographics, and student to college adaptation [1][2][3][4][5].Student preparation is one of the most challenging elements a college can face. Incoming studentpopulation preparation is changing. Over the last 5 years, students that are entering engineeringare less
impacted women students’ SoB and ASC.1. Introduction and BackgroundGender imbalance in computing programs is a persisting issue not only at Farmingdale StateCollege (FSC), but also at the national and international level. The authors have taken a multi-faceted approach to balance the gender gap by running multiple support programs at FSC moreconsistently since fall 2019 [1]. This paper focuses on the intervention of providing womenstudents with an opportunity to attend an overnight, women in computing conference. Preliminaryresults from the first in-person overnight mixed-gender field trip in spring 2022 were positive [2].This paper evaluates the impact of the second in-person overnight trip, that was limited to womenonly in spring 2023.Enrollment
University (HBCU); Experiment-Centric Pedagogy (ECP); Science, Technology, Engineering, Arts and Mathematics (STEAM). 1IntroductionThe overall goal of our project is to identify existing and future gaps in our country’s nuclear energyworkforce and to bring to the pool a trained workforce of minority students graduating from our HBCUs.This is important because the Board on Higher Education and Workforce (BHEW) at the USA NationalAcademies of Sciences Medicine and Engineering (NASEM) continues to provide the academiccommunity, policymakers, and businesses with insights and recommendations on critical highereducation and workforce issues facing our nation [1]. Secondly, BHEW previously identified that
,making education more accessible, efficient, and effective for students, like the introduction ofthe calculator. However, there are concerns that generative AI tools can also be misused and leadto unethical behavior. For example, students could use these tools to plagiarize essays, cheat onassignments and exams, and thereby devalue the learning experience for themselves and others.A mixed-method survey was developed to answer the following research questions:1. How many first-year ME students use generative artificial intelligence tools?2. How do first-year mechanical engineering students utilize generative artificial intelligencetools?3. What are the perceptions of first-year mechanical engineering students about the utilization ofgenerative
decades or so since the TELPhE division was founded from workshops held by theNational Academy of Engineering it seems, I would not wish to be dogmatic about this, tohave gone through three phases [1]. The first, was in the provision of engineering courses fornon-engineering students, and in particular as ‘minors’ [2]. This lasted, although excellentpapers continue to be submitted in this area of technology, until about 2014 when theDivision published a monograph on “Philosophical Perspectives on Engineering andTechnological Literacy” following the inclusion of ‘philosophy’ into its activities in 2013 [3].There was then a flurry of activity in the philosophy of engineering education, and three morevolumes were produced. Subsequently, while papers
, sustainability, resilience, the role ofhumans in ecosystems, and system-scale impacts and benefits to both humans and environment.The theoretical basis of ecological engineering is largely credited to Howard T. Odum, a systemsecologist who, in the early 1960s, began publishing his ideas on applications of ecosystem scienceto design systems that do useful work for people while at the same time benefiting the environmentunder the name of “ecological engineering” [1, 2]. The definition and practice of ecologicalengineering have since expanded to encompass a variety of systems that benefit people and naturalsystems, including constructed marshes to regulate water quantity and quality while providinghabitat functions, biologically diverse and hydraulically
conceptualized from a longitudinal study of a scholar’s program atthree different universities in the state of Nebraska. A department faculty member was part of amulti-year institutional professional learning community (PLC) that explored the scale-up andscale-out of this model. Based on their experience from the PLC, this model was used in thedevelopment of the department’s overall student services ethos and in the specificimplementation of two initiatives: 1) hybrid advising/mentoring model, and 2) peer-mentoringprogram. This practice paper provides an overview of the ecological validation model andpresents our approach to implementing these initiatives. We also reflect on challenges and futureopportunities including long-term sustainability and
ESS now pilot the "Cohort internship model" or "Cohort Pipeline to EngineeringWorkforce." Most interns received return offers while working towards associate and bachelor'sdegree completion. Most importantly, students who completed the ESS increased theirbelonging, self-efficacy to the engineering profession, and confidence in their goals.II. INTRODUCTIONRegardless of academic preparation, many students enroll in college without the strong skills andstrategies to navigate higher education effectively [1]. To streamline transitions and bridge theskills gap, first-year experience (FYE) courses, often referred to as college success seminars orfreshman seminars, are designed for first-year students in 2-year and 4-year institutions. First-year
(RAG) and model fine-tuning are part of this training, equippingstudents with the necessary skills to enter the final application stage. In this stage, studentsparticipate in designing and developing generative AI-based solutions to address real-worldproblems. Our partnerships extend to the law and social science faculties, where we buildcustomized chatbot solutions.The framework was implemented and evaluated at the Tam Wing Fan Innovation Wing(a.k.a. HKU Inno Wing) [1], a facility within the Faculty of Engineering at the University ofHong Kong dedicated to improving students' practical abilities. Students demonstrateincreased awareness of ethical, responsible, and lawful practices in generative AItechnologies under the careful guidance of
highlights the curriculum's adaptability to various educational contexts and forstudents with diverse backgrounds and educational needs. However, challenges such as ensuringclarity of complex concepts and evaluating long-term behavioral change are acknowledged.Continuous refinement, based on stakeholder feedback, is essential for long-term success. Thestudy underscores the curriculum's role as a catalyst for change in combating antimicrobialresistance, emphasizing the importance of embedding sustainability planning and adopting adynamic, evidence-based approach for maximizing student engagement and impact.IntroductionAntimicrobial resistance (AMR) poses a major threat to global health, necessitating creativesolutions to lessen its effects [1]. In
implications of the mini-courseapproach are discussed.Literature ReviewThis paper touches on two themes that have received considerable attention in the literature:redesign of the first-year engineering experience and student success/retention within engineeringmajors. The literature presents various motivations and methodologies for redesigning thefirst-year engineering experience. The goals of a first-year engineering experience are typicallymultifaceted and vary based on context. There is value in helping students understand whatengineering is – exposing them to the breadth of majors available – and what it takes to besuccessful in the rigorous engineering coursework [1, 2]. It is not clear to what extent prospectivestudents come in knowing which
incorporating materials thatencourage students to gain confidence and understanding in sustainable energy-related topics. Atthe conclusion of the project, the materials that were developed were placed in STEM lendinglibraries maintained at the two universities so that the materials will be accessible to futuregenerations of middle and high school students. Any educational organization in the state mayborrow the classroom sets of lab activities at no cost. The goals of the project were: 1) Through their engagement in the project, the fourundergraduate students will gain an improved understanding of energy topics, allowing them tomatriculate into STEM and sustainable energy-related career fields, as well as gaining anappreciation for how access to
answer four research questions to help guidestakeholders: 1) To what extent do current research articles address the spectrum of AI literacy,and how thoroughly do they cover the AI4K12 concepts? 2) What ethical considerations areaddressed? 3) How inclusive is the current body of research concerning all stakeholders involvedin developing, implementing, conducting, and evaluating AI education? 4) What arestakeholders’ perceptions toward AI?The preference for hands-on learning in AI education suggests an impactful approach toengaging students. Integrating such methodologies into instructional design can significantlyenhance student interaction and comprehension of AI concepts. For stakeholders, this implies aneed to develop curricular resources
development (including nuclear energy) demonstrates that theprocess of designing, developing, and using energy technologies creates significant inequities –extractive and waste management facilities are typically sited around communities of color andlow-income communities whereas the power-producing facilities are sited around affluent(predominantly white) communities.[1] In neither case do communities actually have a say in thetype of facility being built in their community and seldom have a say in the decision to even sitethat facility. If we are to equitably develop our energy systems of the future, there is an urgentneed to reverse this worrying trend. To that end, we aspire to train future developers of nuclearenergy technologies – fission and
industry, like choosing the right product or process.Experienced teachers and students have tried this game and given their opinions. Based on theirfeedback, the game can be easily added to current teaching programs.Keywords: Virtual reality; Hydrogen; Life cycle assessment; Techno-economic evaluation;sustainability.1. Introduction Hydrogen holds immense promise as an energy carrier, offering diverse applications.Hydrogen’s unique properties, such as being colorless and odorless, coupled with itsenvironmentally friendly combustion byproduct (water vapor), make it an attractive option forvarious sectors. Figure 1 highlights some of the most notable hydrogen uses. However, about 96% of the hydrogen used today is
solutions, EES1.0 IntroductionEcological Engineering is relatively new field that has rapidly developed over the past 20 years.It applies fundamental knowledge gained in ecological science into engineering practice toperform a two-fold function: i) to restore already degraded ecosystems and ii) to design newecosystems to provide ecological services and support sustainability [1], [2]. As fossil fuel-basedenergy sources deplete, environmental problems increase and the need for nature’s ecosystemservices increases. Ecological engineering is the key to solving these pollution issues, reduceresource problems, assist recovery from disturbance, and benefit humankind without destroyingecosystems [2]. Ecological engineering finds a “generic approach that
declare their major on the entrance to theirfirst year.I. IntroductionThe experiences accumulated by students during their first year in college have a lastingimpact on the rest of their academic lives [1]. The sense of career and institutional belonging,as well as the self-efficacy beliefs of students, have been identified as crucial factors for theirpersistence and success [2] [3]. We argue that both these factors are affected by the awarenessfirst-year students have about their chosen field of study. This is particularly true forinstitutions admitting students into a specific major since their first college year.An assessment of the reasons reported by first- and second-year students in the host institutionfor choosing an engineering major