a 1-credit hour course in the fall focused onintroducing students to university-wide support systems. Minimal engineering content wasdiscussed except the course did introduce engineering ethics and require students to attendengineering-related content on occasion. In the spring, students took a 3-credit introduction totheir engineering major course that was controlled by each department in the college. This coursewould introduce software, tools, or fundamental principles valuable to the majors in thedepartment. All departmental introduction courses “counted” for each other so students whochanged their majors were not delayed in their progress towards the degree, however, studentswho did switch majors often felt left behind because they did
andApplied Science. The participant pool consisted of undergraduate engineering students from bothfirst-year and final-year cohorts across various engineering disciplines. Recruitment wasfacilitated through the distribution of flyers strategically placed throughout the college. Ethicalapproval for conducting this research was obtained from the University’s Institutional ReviewBoard (IRB), ensuring compliance with ethical guidelines for research involving human subjects.Data CollectionOf the 110 participants who completed the task, a subset of 56 participants were selected toparticipate in the verbal protocol component of the study using a non-probabilistic samplingtechnique. This subset included 30 participants from the first-year cohort and 26 from
involves collectingbaseline data from all schools prior to any school receiving the intervention. As each semesterprogresses, a new cluster begins the intervention, allowing continuous data collection fromschools at various stages of intervention exposure. Primary outcomes include changes in studentinterest in healthcare careers and academic performance in science, while secondary outcomesfocus on students' satisfaction and career aspirations. This step-wedge approach offers significant ethical and practical advantages. It ensuresall participants eventually receive the potentially beneficial intervention, thereby meeting ethicalstandards, and accommodates logistical challenges related to resources and programimplementation. Additionally
coursework,and broadening the students’ perspective.IntroductionAlthough the course title might vary, engineering economics is a common component of manyengineering curricula across the United States. The topics in engineering economics aresometimes combined with topics in professional ethics and licensure in a semester-long courseoffering. In the ABET accreditation criteria, two of the seven student outcomes are related toeconomic issues [1]. Furthermore, for a civil engineering program, the curriculum must includebasic concepts in project management and business [1], and engineering economics is typicallythe first course to introduce the principles of microeconomics to civil engineering students if theyhave not taken an introductory course in
additionalfeatures in their platform, such as a calendar and mobile access, which would be ideal forstudents who prefer not to sit at a computer and instead want the convenience of managing tasksand chatting on their phones. Although the students did not voice any concerns regarding ethics or privacy concerns, itis important to keep these two issues in mind at all times. Thus, the recommendations fordevelopers of AI-powered platforms are to keep the needs of the students at the forefront,including helping them understand privacy concerns and how the data is handled in easy terms,continue advertising the program, and share the positive and negative aspects of the usage of theAI-powered counseling services [20].Limitations This study has several
a security measure, 6) the implementation of security defenses, which includessecurity policy, vulnerability assessment, intrusion detection, virus protection, auditing,accounting, and logging, 7) methods to harden an operating system (either Windows or Linux),8) firewalling, and 9) practical experiments that make use of operating system tools for securitypurposes.Information Security: This course emphasizes the integration of information technology aspectspertinent to network and application layer security, while providing students the opportunity toobtain Security+ certification and/or Certified Ethical Hacker (CEH) certification. This revisedcourse encompasses topics included in the Security+ and CEH examinations. Included arenetwork
opportunity to excel. To truly prepare the next generation for success,coding education must also focus on holistic skill development, including communication,critical thinking, and ethical problem-solving. Encouraging diverse representation in codingspaces and offering mentorship to underrepresented groups can create a more inclusive techcommunity. By prioritizing both technical mastery and professional growth, future programmerswill be better equipped to innovate and lead in a rapidly evolving digital world.REFERENCES[1] Rushkoff, D., 2010. Program or be programmed: Ten commands for a digital age. Or Books.[2] Kelleher, C. and Pausch, R., 2005. Lowering the barriers to programming: A taxonomy of programmingenvironments and languages for novice
Summer Stevens became doctoral student in Virginia Tech’s Engineering Education program after obtaining a BS in Civil Engineering from the University of Utah. She also looks forward to completing an MS in Structural Engineering at Virginia Tech. Summer’s career goals revolve around becoming a civil engineering or engineering education professor, or conversely, a university outreach program coordinator. Her current research interests include validating crochet as a form of tinkering, K-12 engineering identity, artistic understandings of engineering, family rights for engineers, engineering student mental health, engineering ethics education, and mass timber construction. ©American Society for
innovation and technology whileanalyzing methodologies for agriculture settings. Lastly, students are given an opportunity toobserve policy and ethics in the field of smart agriculture as a means to finalize their courseworkwhile working on the completion of their research.Again, a unique challenge is present with students in that individuals may not come from anagriculture background. Thus, both undergraduate and graduate tracks are designed to help thosewith a non-agriculture background understand the field while catering to those who may alreadyunderstand agricultural core concepts. General theory and broad overview courses are embeddedwithin the program to help students capture any missing knowledge they may lack in terms ofproduction. The
ethical considerations. Theoretical FrameworkOur analysis integrates three complementary theoretical perspectives to understand AI's role inengineering education. Building on Sweller's (1988) Cognitive Load Theory, we examine howAI tools can reduce extraneous cognitive demands in complex engineering tasks. Mayer's (2019)analysis of multimedia learning environments demonstrated that AI-supported cognitivescaffolding reduced cognitive load by an average of 35% while improving problem-solvingaccuracy by 42%. These findings align with Johnson and Smith's (2018) longitudinal study of1,200 engineering students, which found that AI-enhanced mastery experiences led to a 40%increase in student self-efficacy ratings and
lap around the building with minimal humanintervention. This will be accomplished in a cost effective and sustainable way, subject toenvironmental constraints and the longevity of the materials. Additionally, ethical constraintsalong with state and local laws and regulations will be adhered.The long-term production goal for this project is to create a full package autonomous kit that canretrofit any SMV. With a robust control framework and a focus on safety, the autonomousdriving retrofit system could be extended in terms of application to other types of vehicles, suchas tractors, mowers, mobility scooters and more. This entails stricter adherence to accessibilitywith the intent goal of reducing mobility issues on campuses and facilities by
critiques of teaching methods (Q6) and However, several challenges regarding teaching prompt skills assessment performance.engineering have been identified in the literature. In [3], the We used three primary instruments:authors note that while structured training can enhance students'AI literacy, there are concerns about the varying levels of prior 1. Pre- and Post-Intervention Surveys: Six Likert-scaleknowledge among students and the need for discipline-specific questions (1–5 scale) assessed understanding of AIadaptations. The authors in [4] further discuss the ethical (Q1), proficiency in prompt engineering (Q2), problem-implications and potential over-reliance on AI tools, which
University where he teaches courses on ethics/professionalism and water resources. Dr. Carpenter has served as the University Director of Assessment and theAlyssa TaubeLynne Seymour ©American Society for Engineering Education, 2025 Collaborative Outreach to Inspire Interest in Civil and Environmental Engineering Through Stormwater Design using Best Management PracticesAbstractThis paper presents an engaging activity developed for the outreach event Blue Planet Jobs:Careers in Water, hosted by the nonprofit organization Pure Oakland Water (POW).Approximately 250 high school students participating in career readiness programs exploredopportunities in various water
; Inside Higher Ed, 11/22/247. Brendon Lumgair: The Effectiveness of Webinars in Professional Skills and Engineering Ethics Education in Large Online Classes; American Society for Engineering Education, 2018 Conference8. Kimberly Bernadine Catton, Abril Galang and Alexander T Bulk: Disruption in Large Classes during Active Learning Sessions,;American Society for Engineering Education, 2016 Conference9. Tom McCormick, James C. Squire, Gerald Sullivan: Pedagogical Effectiveness of Classroom Demonstrations Devices; American Society for Engineering Education, 2018 Conference
capability. Many universities have industrial advisory boards that IV. DATA COLLECTION provide feedback and support, so universities can betterA. Professor McAdams understand their employment skills needs. They identify gaps that they experience in their workforce. These gaps In Fall 2024, more than 50 students attended UB’s Ethics consistently include lack of communication, critical thinking,and Economics graduate course, in which 80% were from the problem solving
artificial intelligence generates artworks similar to aexpression. Walter Benjamin (1936) argued that mechanical training dataset, a challenge to the definition of art arises. If areproduction transformed the art world, altering notions of generative algorithm is trained on Van Gogh paintings andoriginality and authorship. Similar discussions arise with AI- generates a new painting, Van Gogh is the creator, even thoughgenerated art, as artists navigate new ethical and creative dead.challenges. Similarly, input data denotes authorship for an AI-modelThe democratization of artistic tools, fueled by AI, allows trained on human-generated
clearly emphasize that student involvement has no impact on scholarship status.To ensure the ethical integrity of the study, participants are provided informed consent beforechoosing to participate, with the right to withdraw at any time without penalty.Data Analysis Methods and ManagementData analysis includes statistical quantitative analysis applied to survey responses and thematiccoding of interviews and vlogs to identify trends, patterns, and themes related to studentexperiences and program effectiveness. A mixed-methods integration approach will be applied tocompare data types, allowing for the identification of correlations between qualitative insightsand quantitative findings and providing a more comprehensive evaluation of program
problems. 2. Demonstrate proficiency in implementing an engineering design process: o Collect, analyze, and interpret data. o Use systematic methods to develop solutions for problems, and o Identify all relevant stakeholders, constraints, and needs. 3. Communicate engineering decisions to technical personnel. 4. Contribute effectively to an engineering team. 5. Evaluate the ethical implications of engineering decisions.Our students begin their academic journeys as general engineering students, regardless ofwhether they are first-time in college or transfer students; these students comprise the populationin this course. The course is primarily project-based, in contrast to the mostly high structurecourses from
, faculty, and industry professionals foster meaningfulconnections and promote skills like discipline, self-esteem, ethical behavior [12], and resilience[13]. Undergraduate research deepens understanding of academic content, offers mentorship, andstrengthens ties to the chosen field. Undergraduate research experiences foster a sense ofbelonging and reinforce academic commitment [14],[15]. Tinto’s model of social integrationsuggests such connections improve student retention and graduation rates [16].This paper outlines the ACCESS program’s goals and approach, provides a five-year overviewof recruitment, scholarship, and enrollment trends, details co-curricular activities supportingstudent success and career development, and concludes with scholars
. Valdiviezo-Díaz, G. Riofrio, Y.-M. Sun, and R. Barba, “Integration of Virtual Labs into Science E-learning,” Procedia Computer Science, vol. 75, pp. 95–102, Jan. 2015, doi: 10.1016/j.procs.2015.12.224.[11] laurashalvey, Parts of the eye. 2020. [Online]. Available: https://www.tinkercad.com/things/kAFGm4qxwZG-parts-of-the-eye[12] F. Wallace-Tarry, Al the parts of the eye. 2018. [Online]. Available: https://www.tinkercad.com/things/bl8qRQVVp1t-al-the-parts-of-the-eye[13] T. Foltynek et al., “ENAI Recommendations on the ethical use of Artificial Intelligence in Education,” Int J Educ Integr, vol. 19, no. 1, Art. no. 1, Dec. 2023, doi: 10.1007/s40979-023- 00133-4.[14] B. Balamuralithara and P. C. Woods
circuits.Additionally, the course covers a range of essential electrical and electronic components,including resistors, capacitors, batteries, diodes, and servo motors, exploring their operation andapplications.To complement the technical content, the course integrates elements of engineering educationand accreditation, emphasizing the importance of ethical practices and professional standards.Students are also exposed to engineering design concepts, learning to approach problem-solvingsystematically and creatively. The course culminates in training students in effective engineeringsolution presentation and data presentation and reporting, equipping them with essentialcommunication skills for future academic and professional endeavors.Employed teaching
their peers will be held to, fostering a senseof accountability and transparency. At the end of the semester, students self-assess theirown and their peers' performance using these rubrics. This process encouragesreflection on their own work and contributions, as well as those of their classmates.Finally, students complete an anonymous survey to assess the effectiveness and successof the rubrics. This survey is designed to gather detailed feedback on various aspects ofthe rubrics, including clarity, fairness, and their impact on learning and engagement.The rubrics were implemented across two semesters. 29 students participated in thestudy during the first semester and another 22 students participated during the secondsemester. Ethics approval
]. Additionally, thedominance of authoritative publications equating EdTech with material tools like computers mayreinforce a narrow view of EdTech [4].One of the most widely adopted EdTech definitions is the 2008 definition offered by AECTdescribing EdTech as “the study and ethical practice of facilitating learning and improvingperformance by creating, using, and managing appropriate technological processes andresources” [8], incorporating both hard and soft technologies. A review of the literature indicatesthat while some studies adopt this definition (e.g., [9]), others elaborate on it (e.g., [10]) orpropose their own definitions of EdTech (e.g., [11], [12]).In this research, EdTech is defined as tools, technologies, and resources [13] that are
, DOI: 10. 1080/105112506008661663. Fask, A., Englander, F., & Wang, Z. (2014). Do online Exams Facilitate Cheating? An Experiment Designed to Separate Possible Cheating from the Effect of the Online Test Taking Environment. J Acad Ethic, 12:101–112 DOI 10.1007/s10805-014-9207-14. Charlesworth, P., Charlesworth, D.D., & Vician, C. (2006) Students’ Perspectives of the influence of Web- Enhanced Coursework on Incidences of Cheating, Journal of Chemical Education, vol. 83 No.9.5. Chegg Inc., website https://www.chegg.com, accessed on November 4th, 2024.6. ChatGPT 4o, https://chat.openai.com, accessed on November 4th, 2024.7. Coure Hero, website www.coursehero.com, accessed on November 4th, 2024.8. Nader, M
lecture-only approach) and Spring 2024 (teacher-guided approach). The exams for both semesters were identical, ensuring consistency in assess-ment, and the data was downloaded from Canvas without any personally identifiable information,thus avoiding ethical concerns.3.3.1 Data Selection and MetricsExam questions related to the LinkedSet project were manually identified based on their alignmentwith the concepts taught during the project. These questions assessed students’ understanding ofcore Java topics such as: • Interfaces and generics. • Iterators and data structures. • Polymorphism and object-oriented principles. • Set operations and structural manipulation in collections.The following metrics were analyzed for each
following the six-phase processoutlined by Braun and Clarke [6]. This involved familiarization with the data, generating initialcodes, searching for themes, reviewing themes, defining and naming themes, and producing thefinal report. The analysis focused on identifying recurring patterns in students’ experiences,particularly regarding their use of external online courses and their perceptions of institutionalsupport. To ensure reliability and validity, multiple researchers independently coded the databefore reaching a consensus on the identified themes. This triangulation of data helped minimizebias and ensured the findings accurately represented participants' experiences [7].Ethical ConsiderationsEthical approval for this study was obtained prior
the ethical work practices, teamwork, communication, safetyawareness, professional interaction and financial literacy skills can all be taught. Figure 15. Ranked Bar Chart of Desired Professional Curriculum Topics for CandidatesIn addition to the word cloud of Figure 16, some important opinions were also drawn.Respondents wanted to add “Time Management skills”, “Speaking up if something is not rightranked 3”. A detailed comment requires an answer: “Is it not assumed that curricula topics aredirectly targeted at developing both technical and professional skills?” The answer is no,professional skills are not part of classic training manuals and curriculum syllabi. Figure 16. Word Cloud of “other” Professional CurriculumInstead
, safety,and welfare, as well as global, cultural, social, environmental, and economic factors.” StudentOutcome 4 requires “an ability to recognize ethical and professional responsibilities inengineering situations and make informed judgments, which must consider the impact ofengineering solutions in global, economic, environmental, and societal contexts.” Attainment ofthese two outcomes were usually included and assessed as part of our ME curriculum in variouscourses. One advantage gained by our students working in the six collaborative capstone projectsis that that they experienced these attributes first hand and are better prepared to enter thepractice of engineering after graduation. Further, these students are prepared to work for multi
difference.Measuring the EffectivenessAnonymous surveys were administered to assess students' perceptions of the integratedapproach, its impact on their learning, and overall satisfaction. Ethical approval for this studywas obtained from the University of Toronto under protocol number RIS Protocol Number46956. A mixed-methods research design was employed, combining quantitative survey datawith qualitative feedback from open-ended questions.The goal of the survey was to ask the students on their experience to answer our researchquestions. For our first research question, “Does incorporating cross-disciplinary content inprogramming labs improve students’ perceptions of real-world applications of programming?”,we asked students to what extent related-to-other