technicalperformance parameters by assessing the needs of prospective users of their system. Once thoseperformance parameters are established, the students are responsible for creating their own workbreakdown structure, as well as planning and executing the entire design and development effort.The only major milestones the students are required to meet are two formal design reviews forexternal evaluators at the end of the fall and winter quarters, and a public demonstration of thefinished product at an annual campus-wide innovation festival at the end of the academic year.An instructor of record is assigned responsibility for the course but there are no requiredtextbooks or formal lectures. The students jointly construct a common understanding of newconcepts
forth their best effort. These issues will be addressed during the remainder of thisstudy. Future work will involve exploring whether students’ problem solving performance willbe improved by enhancing their spatial thinking abilities or understanding of key concepts inmechanics. In addition, we are planning on extending this research to other areas of application,such as engineering design or other disciplines and recruiting participants at various levels ofacademia (i.e. graduate students, instructors, and faculty members) to examine the impact ofexperience/expertise. Although eye-trackers are becoming more accessible and affordable, theyare not widely used and it requires trained personnel to manage every stage of the study. Inaddition
when they have completed one or both of the surveys,even if they elect to have their data excluded from the study. The initial analysis of the resultshas shown that the two courses have achieved the goals of motivating students’ interest in thefield, supporting learning of the concepts presented in the companion lecture courses, andincreasing students’ self-confidence to design, simulate, construct, and characterize circuits13. Alongitudinal study of the impact of the hands-on laboratory courses is planned.2.3 Mobile StudiosA Mobile Studio is technology-based pedagogy based on inexpensive hardware/software which,when connected to a PC (via USB), provides functionality similar to that of electronic laboratory
choosewhich topic was most interesting and join the team. Timing was such that the first item (theAgreement of Cooperation19) was due at the end of the first week of class so that the teams werestarted quickly with a clear, immediately milestone. Feedback was given on these agreements sothat students had all discussed how to deal with conflict, differing work ethic, and how to bestrespect each other’s ideas. The schedule and plan of progress reports were outlined in thesyllabus on the first day of class for the students. The progress reports were: • Team’s Agreement of Cooperation: Outline goals and guidelines of group participation. • Progress Report 1: Introductory description of proposed, novel analytical
.” Another studentrecommended using a medium other than sticky notes for information exchange and stated,“perhaps find a better method than sticky notes, throw balls with numbers?” We plan to re-visitthe design of our game and our choice of materials in light of these suggestions, though movingaway from sticky nodes—a medium that is useful for quickly generating representations ofcustom messages—would reduce the game’s expressiveness. The second trend is that studentswere disappointed at some of the overhead involved in the initial setup of each style-specificgame; one suggested that participants be “given specific instructions ahead of time” and anotherthat we should “decide participants before starting the activity; this would decrease down time
students attempted more credit hours than non-engineering students in general, the former were more sensitive to scholarship credit-hourrequirements. In Georgia, engineering students became more likely to attempt fewer credits inthe first year, while total students were unaffected by the scholarship.While the number of credit hours represents a convenient continuous variable to measure thecurricular progression of students, it is relevant to discuss student progression with respect to the“full load” threshold, since this threshold determines what fraction of students can graduate ontime or early and which are falling behind the stated curriculum plan. Scholarship effects onfirst-year full load attempted by residents similarly varied based on
also use ALEKS as a self-pacedlearning method to help students improve their knowledge and scores so as to qualify for higherlevel courses20. The ALEKS online learning environment supports students in courses from pre-calculus through calculus II, either for homework and self-testing, or to self-remediate baselineconcepts that enable better understanding of more advanced topics 28,27,26,23.The use of ALEKSshows positive correlations to success in calculus I22. Benefits to using the system include easywebsite access, individualized learning plans, visual feedback of one’s mastery level of topicareas, and the ability to work at one’s own pace 23,29.Math Assessment and Preparation at University of Colorado BoulderThe Applied Math program is
often,"Elevator in El Cortez Hotel in San DieIt was the janitor's idea. The famous El Cortez Hotel in San Diego provides an excellent exampleof the advantage of listening intently to employees at every level. The hotel management decidedto install an additional elevator to better serve their guests. Engineers drew up plans cuttingholes through each floor of the hotel. A janitor, who was concerned with this, made the commentthat this would make a great deal of mess. The janitor was told not to worry because the hotelwould be closed to guests during the construction. The janitor suggested, "You could build theelevator on the outside of the hotel." At the time, this architectural concept had never been donebefore, but after investigation by the
resultsobtained from point of view of students, offer a positive view on the potential of this pilotscheme to support the autonomous learning and facilitating the understanding of the theoreticalconcepts, from of e-learning. Additional modules, experiments, simulations and significant Page 23.1305.15improvements in the user interfaces, front panels, simulation and lab manuals are planned in thenear future.References1. N.K. Swain, R. Korrapati, J.A. Anderson, J. A, Revitalizing Undergraduate Engineering, Technology,and Science Education through Virtual Instrumentation, NI Week Conference, Austin, TX, 1999.2. G.T. Heydt and V. Vittal, Feeding Our
who completed the previous version of thecourse. We will recruit students from eight additional engineering courses to pilot the updatedCS1 assessment in Spring 2025, anticipating at least 500 participants. Over the next two years,we will continue data collection as part of our longitudinal study to measure the long-term effectsof the CS1 redesign on engineering students’ ability to apply computational tools in theirrespective fields.We plan to revise the existing labs and incorporate group activities using the Process-OrientedGuided Inquiry Learning (POGIL) framework [50, 51]. POGIL is an instructional approach inwhich students work in structured groups with assigned roles, actively exploring concepts andconstructing their own understanding
, I will be able to get a job as a chemical engineer.a3 Noneb I know the type of work that chemical engineers do.a4 Outcome Expectation If I learn a lot about chemical engineering, I will be able to do lots of different types of careers.a5 Outcome Expectation Carnegie Mellon University’s chemical engineering courses will prepare me to succeed after I graduate.a6 Choice Goal I plan to be a chemical engineer in the future.a7
offering moresmall-group interactions, “low risk” activities, and online options. Libraries may need to adjusthow they plan orientations to create a positive and welcoming experience for cautious students.We learned that students primarily use the library as a solo study space, but also see it as a safespace to gather for group work and networking. Given all these considerations, our survey did tell us more about the lived experiences ofwomen identified students within our consortia. We learned that women identified students are atrisk of gender-based discrimination, but impacts aren’t reported until the third and fourth years ofa program. Most students work, and this influences their participation in extracurriculars. Welearned that
education coincides with the evolution of data science as a field, whosemeaning has shifted significantly since its inception. While the term ”Data Science” has existedsince the 1990s, its meaning has changed substantially over time. While the original definition ofdata science focused on the storage and management of data, the term is used currently inreference to the process of turning data into insights and new knowledge.Understanding the data science life cycle is essential to designing effective education frameworksfor K-12 learners. The data science life cycle involves several main steps: problem definition,getting domain knowledge and designing research, data planning and collection, data cleaningand wrangling, feature engineering and
create inclusive environments that allow students to form chosenfamilies. Potential methods for educators to act upon this could include allowing studentsextra time in class to get to know each other and creating an inclusive classroom culture inwhich students feel comfortable approaching the educator for various kinds of support.Chosen families provide students an ability to be their authentic self with others. Chosenfamilies also help students find solutions to their problems with others who are likeminded.The sense of belonging resulting from Chosen Family support likely supports students’persistence.In future research, we plan to deepen our understanding of how support networks impactundergraduate engineering students' success and well-being
appendix.Table 1: Engineering Practices Codebook Engineering Practice Code Practice DescriptionBusiness and Financial Account for financial or economic considerationsCoding or Programming Engage in computer coding or programmingData Analysis Engage in data analysis, processing, and interpretationData Collection Collect data following proper proceduresEthics Weigh (often complex) ethical responsibilitiesExperiment Design Design or develop plans and procedures for experimentsFoundational Technical KnowledgeLearn or study fundamental engineering principles or technical knowledgeFuture Impacts Consider or account
(not replace) teachers.”These recommendations highlight a strong desire to instill ethical awareness and critical thinkingas part of AI use in education, ensuring that AI tools are pedagogically supportive and not misused.2. Customization and PersonalizationParticipants suggested that AI tools should be better tailored to meet the diverse learning needsof students and the instructional preferences of educators. Recommendations in this themeincluded: “Offer personalized learning based on student pace and style.” “Let educators customize AI outputs, lesson plans, and prompts.” “Provide multimodal support (e.g., visuals, audio, interactive tools).”These responses reflect a call for
, Voorburg: International Statistical Institute, 2005, pp. 1–4.[15] T. G. Giese, M. Wende, S. Bulut, and R. Anderl, “Introduction of Data Literacy in the Undergraduate Engineering Curriculum,” in Proceedings of the 2020 IEEE Global Engineering Education Conference (EDUCON), Porto: IEEE, Apr. 2020.[16] Association of College and Research Libraries, Framework for information literacy for higher education. Chicago: Association of College and Research Libraries, 2016. Accessed: Mar. 07, 2016. [Online]. Available: www.ala.org/acrl/sites/ala.org.acrl/files/content/issues/infolit/Framework_ILHE.pdf[17] J. E. Pasek, “Historical Development and Key Issues of Data Management Plan Requirements for National
provided more accurate and detailed explanations than ChatGPT in some cases.This has prompted us to consider integrating these tools into future iterations of the study.Moving forward, we plan to develop more structured and clearly defined activities for students,with the aim of repeating the study in the following year. By then, we anticipate that universitieswill have clearer instructions and policies regarding the use of AI in classroom settings, whichwill help us refine the design and execution of the study.References[1] R. Subramanian and S. M. Vidalis, “Artificial Intelligence tools: Boon to Engineering Education or a threat?,” in 2023 Fall Mid Atlantic Conference: Meeting our students where they are and getting them where they
an authentic human feel to it.” (Arya) ● “I think generative AI lacks what, in my mind, is the crucial portion of writing; its human aspect. Originality is all but removed from any text generated by AI in my mind, and as a result reads clunky. Plus, I don't think it can consider the aspect of readability; that is, generative AI has no concept of how its output may be understood.” (Dara) ● “What's important to me is how to revise writing I already made without losing the central voice or choice conventions.” (Bartholomew) ● “Generative AI may be useful as a way to plan out the writing of certain documents; however, it is important that AI does not replace the actual writing of the document
effectively coordinate the different interestmotives of the multiple subjects, the IURCs have adopted a joint working meeting system.This system serves as a mechanism for collaborative decision-making and implementation. Itmay ensure that the voices and needs of all parties are adequately taken into account. Itpromotes the formation of goals of common interest. Additionally, it helps build outreachrelationships between the university and all types of subjects. Representatives of the variousparticipating parties come together to discuss, plan, and implement relevant initiatives.In addition to the governance mechanism, the realization mechanism of each function is keyto ensuring the sustainable operation of the IURC, as it is a multi-functional
surveyed institutionsalready used Artificial Intelligence (AI) in their admissions process, and an additional 30%planned to do so in 2024. AI gives universities the advantage of increased efficiency, allowingthem to focus their limited resources on other critical tasks like selecting students for financialaid and scholarships [5]. Therefore, it is essential to innovate AI systems that assist in theadmissions process while still minimizing the possibility of biased outcomes.The rapid development of the technology industry led to an increased number of graduate degreeholders yet the diversity among these graduates has not shown comparable growth. For instance,the male-to-female ratio among master's graduates has remained nearly constant in the
targets, a vision born out of a strategic plan of Japan’s then Prime Minister Shinzo Abe, tointegrate science, technology, political initiative, and society, to increase individual and collective welfare [22, 27, 30,45, 47]. Society 5.0 is uniquely characterized by the Internet of Things (IoT), AI, Big Data, and sophisticatedmachine/robot interaction with humans [45], and is also viewed as a panacea that reduces the global socio-economicgap [22]. But attempts to realize the E.D. 5.0 vision also pose several challenges, such as a need for reform andalignment of the education system with national digital transformation goals for Costa Rica [9], the reluctance ofeducational systems in countries like Afghanistan to adapt towards E.D. 5.0 goals [46
International Organization for Standardization (ISO), “standards are thedistilled wisdom of people with expertise in their subject matter and who know the needs of theorganizations they represent—people such as manufacturers, sellers, buyers, customers, tradeassociations, users, or regulators” [1]. Similarly, Thompson defines standards as an agreed wayof doing something consistently to ensure safety and quality [2]. Codes, on the other hand, aresets of guidelines that define standards for the planning, construction, and maintenance ofstructures. These are typically categorized into safety standards and product standards [3].Specifications provide detailed requirements for components, products, systems, and services,ensuring they meet the necessary
engineering design. Similarly, Gasiewski et al. [40] gathered quantitative datafrom over 2,500 students and conducted focus groups with 41 students to investigate therelationship between student engagement and introductory science instruction.InstrumentationThe Engineering Profession in Mathematics (EPM) questionnaire was developed to assess thetypes of mathematics used in engineering practice. The questionnaire provides a commonstructure for evaluating engineering problems based on their alignment with mathematicalcontent standards. The 24 engineering problems in the questionnaire were derived from pre-service teachers' lesson plans for grades 7-12, and these problems were categorized into eightmathematical content areas. The problems were selected
demonstratesthe effectiveness of project-based learning in developing practical engineering solutions andenhancing student engagement in energy systems design.We have some initial, generally positive, anecdotal data about students’ perceptions of theproject. However, we are planning on constructing a more formal and detailed survey to obtainmore detailed information from students. In addition, we are also looking to investigate theimpact of the project on students’ satisfaction of the course learning outcomes.BackgroundThere is considerable evidence to the benefits of students working through open-ended complexprojects in engineering education [1]. Projects allow students to engage with real-worldproblems, work collaboratively in teams, synthesize