transfer student and how it influenced Texas institutions,advisors, and students. The authors explained that piece of legislation was largely symbolic andnot enforceable. The legislation was not enforceable because within universities, programs stillhold the authority to decide which credit counts toward their degree requirements [1]. This wasespecially true with programs that require complex pre-requisite structures within their degreerequirements such as engineering. Without transfer credit transparency, the authors of the bookdemonstrated through student case studies that students were forced to triangulate the mostreliable information from advisors and online resources. The burden to navigate the path through community college and a 4
engagement, with projectstailored to students’ lives and interests, and exploratory approaches prompt more critical thinkingthroughout the learning experience, rather than regurgitation.This paper discusses the development and implementation of mastery-based and project-basedcourses at two different institutions. The first course is a required, first-year, 3 credit lecture andlaboratory course using Onshape taught by one faculty member at a mid-sized, private institutionthat transitioned from a traditional grading scheme. The second course is a required, first-year, 1-credit laboratory course using AutoCAD taught by a team of three faculty members at a large,public, majority-minority institution. First, the implementation of the two courses in
aerospace experience in the field of rocketry and launchoperations. This course provides students with the requisite academic knowledge and technicalexperience needed to successfully design and build small rockets, and to train them in safe andeffective launch and recovery operations. The course provides students with the foundationalknowledge and tools needed to chart a career in rocket design and launch operations, and tosuccessfully compete for technical grants involving rocket research and operations.This paper will detail: (1) the course organization and how it has been structured to satisfy studentinterests in gaining hands-on engineering design experience and familiarity with conducting safe andeffective launch operations; (2) how student
inclusion of 3D printing and advanced data analysissoftware in physics labs to enrich educational outcomes.Keywords: Physics Education Research, Educational Innovation, STEM Education, Kinematics,Experimental Physics, 3D Printing Technology, Tracker SoftwareINTRODUCTIONPhysics education research has increasingly highlighted the need for improvements in laboratoryinstruction, particularly in fostering conceptual understanding and experimental design skills [1]and [2]. Holmes and Wieman argue that traditional introductory physics labs often fail toreinforce conceptual learning effectively [3]. Additionally, model-based reasoning has beenidentified as a crucial component in experimental physics learning [4]. This study contributes tothis ongoing
to design a curriculum that incorporates three things:Bloom’s taxonomy, clearly defined outcomes; and diverse instructional methods. Theirconclusions come from a study that found curriculum fell into one of two camps: 1) thetraditional camps that focus on technology and related labs and exercises, and 2) in much smallernumbers, camps that take a pedagogical approach including building both the technical skills and“skills such as attitudes, motivation, and enjoyment of learning” (p. 71). The two campsrepresent the dilemma Nilson (2010) highlighted when she advocated that higher education take 3“a different and rather novel goal: to educate as
software in the courses with the Canvas platform.Chatbot is a software application that can simulate human conversation and enhance teaching.A teacher’s time and his presence in the classroom is limited; however, this application softwareoffers new ways to make a teacher’s presence and his knowledge to be available more often.Chatbot can be used as a tool for teaching and learning. It can be used to answer many students’questions such as: exam date, office hours, searching content of a chapter of the textbook,holidays, and many more.In this paper several features of chatbot and student utilization of the chatbot will be discussed.1- History of chatbotsA. Turing in his 1950 paper, explains that a computer program can simulate human behavior
skills and competencies are highly indemand, and these skills and competencies are mostly found and taught in the science educationdiscipline. And one of these disciplines is physics education, which deals with the fundamentalsof the interaction of energy and matter, as well as engineering and technology. The teaching andlearning mechanisms in physics for engineering students involve innovative approaches aimed atenhancing conceptual understanding and promoting deep learning. Research emphasizes the shiftfrom traditional teaching methods to more interactive and inquiry-based strategies to engagestudents effectively [1]. Interactive simulations play a crucial role in teaching physics, particularlyelectrostatics, as they significantly improve
college and transfer seamlessly to any state public engineering program, and weare seeing success. Even as transfer numbers are stagnant or declining elsewhere across ourcampus, for fall 2024, our college enrolled the largest-ever cohort of in-state community collegestudents and the second-largest overall transfer fall cohort. Since fall 2010, overall engineeringtransfer student enrollment has grown 152% (25% increase in the last 5 years). In-statecommunity college matriculation has grown from less than 20 students in 2010, to over 75 in2024.We are proud to perform this work in support of our college mission, which includes generatingnew knowledge and supporting students to become leaders and citizens who improve our worldand the people in it [1
. Dinse 1 and Vahid Motevalli 2,3 Penn State HarrisburgAbstractAt Penn State Harrisburg, veterans and military personnel constitute between 3-6% of studentenrollment. About 26% of these students are enrolled in engineering majors and another 8% areenrolled in other STEM fields. To serve this population with intentionality and purpose, as wellas enhance student success, we find it essential to explore the social and academic gaps for ourstudents, and what types of programming could best address those needs. Past and currentsurveys of this student body have proven to be effective due to a higher than usual response rate.Questions assessed a range of topics, including recruitment pathways, experiences with a
, Computer Science Education, Machine Learning, PersonalizedLearning, Ethical AI, Research, Graduate Programs, Undergraduate Programs.INTRODUCTIONThe technological innovations of the 21st century have fundamentally transformed how the worldoperates [1], creating entirely new areas of expertise and workforce demands [2,3,4,5]. Theinterdisciplinary interest from scholars in linguistics, psychology, education, and neuroscience aswell as other disciplines, who examine AI through the lens of their respective fields, such as itsnomenclature, perceptions, and knowledge poses challenges in defining AI [6]. This hasnecessitated the development of AI categories within specific disciplinary contexts.There is a pressing need for widespread education across all
Students' Skills and Cognitive DevelopmentAbstractSpatial visualization skills are essential for success in STEM fields, yet many first-yearengineering students struggle to develop proficiency in these critical abilities. This studyinvestigates the impact of an innovative online freehand sketching and spatial visualization tool,Spatial Vis™, on students' spatial reasoning and cognitive skills in a first-year engineeringdesign course. Using a mixed-methods approach, the research examines the effects of the toolthrough pre-and post-assessments, surveys, and qualitative interviews. The study addresses threekey research questions: (1) How does the tool influence students' spatial visualization skills overthe semester? (2
successfully demonstrates improvement in ocean industryawareness, ocean engineering mission planning and ocean hardware operation and electronics.IntroductionMaine’s Changing Aquaculture LandscapeMaine’s aquaculture industries are internationally recognized for quality attributed to its uniquegeography, ocean currents and climate. The Gulf of Maine is one of the richest marineecosystems in the world and boasts harvests of Atlantic salmon, sea vegetables (kelp, algae, etc.)and shellfish (mussels, oysters, etc.), among others, and yields over $137 million of annualeconomic output to Maine’s economy.[1] Aquaculture is also the fastest growing foodproduction sector globally, expected to increase by 5.5% annually through 2032.[2]Maine’s aquaculture harvest
learning environments. One approach thatresonates with students is gamification in education, which applies game-like elements to routinetasks [1, 2]. Game-based learning provides an interactive and engaging method for students toexplore topics that might otherwise seem mundane. By leveraging gamification, faculty canspark interest and motivate students to solve problems, acquire knowledge, and develop bothtechnical and social skills through gameplay [3-5]. Research by Subhash and Cudney highlightsthe benefits of this approach, including improved academic performance and increased studentparticipation [5]. Integrating game-based strategies enables faculty to create more impactful andmeaningful learning experiences for college students.The term
the transition to higher education. According to the National Center for Education Statistics [1], nearly one-third of undergraduate students in the United States are first-generation college students. Those with a family history of higher education typically enter college with a clearer understanding of academic demands and social integration, which enhances their confidence and adaptability [2]. In contrast, first-generation students may find themselves navigating college life with limited support, impacting their engagement and performance. Research indicates that these students often experience feelings of isolation and uncertainty, hindering their academic success [3]. They may struggle to access resources and
departments to look at engineering issues from a non-technical perspective. Thispaper focuses on the first series of courses: sustainability – both as an environmental principleand as a philosophy for social responsibility.This course sequence will be developed in part by utilizing strategies from the Engineering forOne Planet initiative to discuss how all engineers can bring sustainable principles into theirwork, such as how engineering decisions and actions can unintentionally or disproportionatelycause negative environmental consequences for communities that have historically beenmarginalized or negatively impacted [1]. However, instead of solely attempting to address thisfrom an engineering perspective, this work leans on the campus experts in
special attention to the impact thatsituating modeling in engineering education within public policy brings to the discourse on thetopic. Our findings will advocate for a future that is safer for the public. 1. IntroductionThe primary reason for test dummies in crash testing is to measure human injury under differentconditions. Test dummies play a crucial role as part of testing programs that provide valuabledata to both automative manufacturers and customers. Automotive manufacturers gain insightinto the simulated behavior of the human body in their designs during crash under regulatedconditions. They are, therefore, required to meet certain standards as regulated by the NationalHighway Traffic Safety Administration (NHTSA), a federal agency
integratesinnovative technologies, such as sensors, automated controls, and data-driven algorithms. Thissystem monitors vital environmental variables, including moisture levels, temperature, andnutrient concentrations [1]. By allowing precise control over these parameters, the innovativeirrigation system aims to create an optimized plant growth environment, promoting waterconservation and healthy plant development. The ability to remotely control and adjust thesevariables in real-time adds the technological sophistication essential for modern, sustainableteaching.Collaboration with the Biology Department has been instrumental in identifying and addressingthe unique biological needs of plants within this system. For the biology team, participation wasvoluntary
support is provided by a team of teaching assistants who leverage varioustools and processes to minimize response times, provide feedback, and optimize the overallquality of the services.We discuss how students embraced and adapted to the tools and processes taught in theclassroom, and how some university engineering design build clubs voluntarily implementedthem in their workflows. We also describe the challenges faced over the years during theimplementation, and our strategies to overcome these obstacles. Our goal is to provide a roadmapfor other institutions and curriculums to replicate our initiative.IntroductionModern engineering education emphasizes computer aided techniques to digitize manufacturing– a concept coined as “Industry 4.0” [1
lifetime compared to individuals without adegree [1], [2]. Two-year colleges serve as a gateway to bachelor’s degrees for a substantialnumber of students, particularly those from historically underserved populations such as low-income students and ethnic minorities. Approximately 40% of all undergraduate studentscommence their academic journey at a two-year college. Notably, 44% of Hispanic and 36% ofBlack undergraduate students enroll in two-year colleges, which is significantly higher than theenrollment rates at four-year baccalaureate institutions and the overall U.S. population [3]. Thiscan be attributed to the fact that compared to 4-year baccalaureate institutions, 2-year collegesadopt an open-access mission, incur lower costs, and often are
a weather conditions experiment, a decision tree could be usedto predict whether certain weather conditions indicate the feasibility of outdoor activitiesor not.Figure 1: Example of weather conditions´ decision tree to decide whether stay home ornotSource: Chat GptLinear Regression: This technique is essential for predicting continuous values fromindependent variables. In Physics experiments, such as studying the relationship betweenspeed and time, linear regression can be used to fit a function to experimental data andpredict future behaviors, such as the speed of an object at a specific moment.Figure 2: Velocity of Honda WR-V car as function of timeSource: the authorsClustering: Clustering groups similar data together, facilitating the
Covering Major-specific Concepts1 Emre Tokgoz, 2Joel Joseph, 3Julissa Molina, 4Tanvir Ahmed, 5Alyssa Xiang, 6Sergio Duarte 1 Emre.Tokgoz@farmingdale.edu; 2josej18@farmingdale.edu; 3molij17@farmingdale.edu; 4 ahmet9@farmingdale.edu; 5xiana21@farmingdale.edu; 6duarsp@farmingdale.edu1-6 Department of Computer Security, State University of New York, Farmingdale, New York, 11375Cybersecurity degree program offerings started to increase in the United States as internet-basedtechnologies are advancing. These technological and educational advancements and offerings raisecritical pedagogical research questions towards identifying which teaching methods can be themost affective on students’ cybersecurity
-meterwingspan. Similar design challenges have been addressed in other SAE competitions, such as thehigh-performance designs of WPI UAV teams [1], and the use of lightweight yet durable materialsby previous SAE Aero Design participants [2]. The capstone project is designed to emphasizesystems thinking, interdisciplinary collaboration, and practical application of engineeringknowledge. This project will serve as an educational tool for students to learn professionalengineering processes and provide practical insights into weight distribution, structural integrity,and power constraints. However, the team will not participate in the official competition due totime constraints. The capstone project emphasizes systems thinking, interdisciplinary
address the foodcrisis in rapidly urbanizing societies [1]. However, in contemporary educational settings,opportunities for students to engage with agriculture and biotechnology are insufficient andlimited due to urbanization. At the same time, there is a growing need for an integratededucational approach in schools to prepare future generations. In this context, the SMART farmkit was developed in response to the increasing demand for future global issues. From aneducational perspective, the SMART farm kit can be an excellent educational tool that bridgesthe STEM disciplines, literally integrating science, technology, engineering, and mathematics toprovide holistic and authentic learning experiences. By focusing on agriculture, the SMARTfarm
identitiesIntroductionIntroductionDespite the steady increase of minoritized populations in the United States in the past few years[1], the field of engineering continues to struggle with a lack of diversity among bothpractitioners and students [2, 3]. This homogeneity has resulted in significantunderrepresentation in thought and epistemology within engineering practice [4].Because engineering has traditionally prioritized problem-solving, without critical awareness ofits possible consequences, engineering solutions often continue to fail to adequately meet theneeds of underrepresented populations and create projects that disproportionately and negativelyimpact marginalized communities [5-7]. For example, the design of pulse oximeters has notworked as well in people with darker
Discovery program was initially developed by Purdue University College ofEngineering to broaden participation of minority students pursuing Ph.Ds. and faculty careers.Since its creation in 2016, Early Discovery has evolved - changing names, modality, and focus,however the goal of the program has always remained the same: to support freshman andsophomore level undergraduate students from different backgrounds in preparation for graduateschool and research.While there are many programs that exist to help prepare upper-level undergraduate students forgraduate school, few institutions have an intentional focus to attract students early at thefreshman and sophomore levels. The Early Discovery Program has existed in three differentformats in the past: 1
adaptability [1]. In these settings, students frequentlyturn to teaching assistants (TAs) for assistance with lab procedures, equipment setup, andtroubleshooting. This dynamic creates a dependency that, while helpful in the moment, can leadto challenges for both students and TAs. The repetitive nature of these inquiries significantlyburdens TAs, who usually cannot answer everyone’s questions throughout the laboratory classtimes. Furthermore, certain student questions need consistent answers that the lead instructorproves correct. Another challenge is establishing a structured support diagnostic meant to answerstudent problems in a way that guides students to their answers rather than revealing themimmediately. This allows students to engage in
, whereas personal computers have taken on asupporting part, and this trend is aligned with expectations of the digital future [1].The number of undergraduates who possess computers, however, is surprisingly much lower thanexpected when compared to smartphone possession which was more than 80 percents of collegestudents [2], [3]. Unquestionably, a smartphone is a handheld personal device that is utilized fortasks that a desktop computer can perform. However, computer desktops come with applicationsoftware that is essential in the workplace, and education sector. Usually, the application softwareincludes word processing, presentation, spreadsheet, email, and personal informationmanagement, among others. In contrast, mobile devices, including
- Specific Conceptual Learning1 Emre Tokgoz, 2Tanvir Ahmed, 3Sergio Duarte, 4Joel Joseph, 5Alyssa Xiang, 6Julissa Molina 1 Emre.Tokgoz@farmingdale.edu; 2ahmet9@farmingdale.edu; 3duarsp@farmingdale.edu; 4 josej18@farmingdale.edu; 5xiana21@farmingdale.edu; 6molij17@farmingdale.edu 1-6 Department of Computer Security, State University of New York, Farmingdale, New York, 11375Abstract. In this research, the aim is to investigate environmental factors impacting cybersecuritystudents’ learning of cybersecurity major related concepts. The research is conducted in one of thepublic universities in the Northeastern region of the United States to obtain the results presentedin this work. IRB approval
women's participation in scientific and technologicaloccupations. The ARROWS pipeline is an institutional initiative award that introducesacademically outstanding female high school and undergraduate students to majors and jobs inscience, technology, engineering, and mathematics (STEM). This project includes an annualsummer research effort that aims to attract and develop the next generation of female scientists,mathematicians, and technologists. When combined with partner programs such as DevelopingAdvanced Research Through STEM (DARTS) and STEM Pathways for Success, these projectscreate a three-stage student success pipeline: (1) secondary education exposure, (2) college-levelengagement, and (3) transition to graduate school or the technical
, personalized online learning experiences. We evaluate the effectiveness of this methodthrough a series of case studies and provide guidelines for instructors to leverage these technologiesin their courses.1 IntroductionLarge Language Models (LLMs) and their emerging skills provide educators with new capabilitiesto improve our teaching and save time. LLMs like ChatGPT have emerged as powerful tools thatcan assist in creating educational content and interactive learning experiences [1].For digital system design and computer architecture, traditional education often relies on expen-sive hardware, specialized software, and physical laboratory spaces. These requirements can limitaccess to hands-on learning experiences, particularly for students in