classroom activities in academic courses [6- deeply embedded in industry practices, making them essential7]. for engineering and technology management students. Graduate-level education, particularly in Technology Both courses emphasize structured methodologies and data-Management, emphasizes the development of critical thinking driven decision-making. AI has the potential to transform theseand problem-solving skills. Courses like Project and Process areas by automating certain aspects of project planning, riskManagement also focus on the real-world application of these assessment, and process optimization. For example, AI-skills
decision making tool is an interactive Powerprovides policymakers and universities with the ability to plan BI dashboard that allows policymakers and institutions to usefor anticipated enrollments, react to shifting patterns, and make their data and simulate different scenarios. Users can browseinformed, data-based decisions. three scenarios: baseline scenario, optimistic scenario, and Keywords—Admission Enrollment, Forecasting, ARIMA, pessimistic scenario, and see the influence of each scenarioPowerBI, Scenario Analysis on international students’ enrollment. This architecture gives
Infrastructure (NEVI) program from 2022 to2026. Through qualitative thematic analysis of nationwide state As states implement NEVI funding, varying readinessrepresentatives' perspectives, the study identifies key strategies, levels to train EV technicians emerge, revealing gaps inchallenges, and regional variations in workforce development. strategic planning, budget allocation, and stakeholderThe findings underscore the essential role of skilled technicians engagement. Some states have actively integrated EV-relatedin facilitating the rapid growth of EV adoption and supporting training into community college curricula and partnered withcharging infrastructure. While some states have established industry
to excel in social and emotional aspects, reinforcing thethinking skills. With careful planning and foresight, AI irreplaceable role of human teachers. Secondly, AI-and other digital technologies can play a crucial role in driven interactions with students do not offer the sameadvancing these goals [12]. educational value as real-life human interactions. An essential element of effective education is how teachers motivate and guide students throughout the learningprocess. A teacher must know their students" to provide educators, alongside courses covering
like time of day and weather. The project will creativity, and perseverance can transform an idea into aconclude with a dashboard showcasing real-time predictions successful and impactful initiative. Through this club, studentsand insights, demonstrating the practical applications of data not only gained technical skills, but also discovered a sharedscience and machine learning in urban planning [6-7]. passion for innovation and learning. Students who were initially skeptical of their ability to learn programming have gainedTo further increase interest and expand horizons, I invited the confidence in their skills, and some even plan to
goals of becoming ‘agents of their own learning’ [3]. To facilitate metacognition growth, our monthly student workshops are broadly focused on the following topics: 1) Study Skills and Self-Reflection, 2) Goal Setting and Individual Development Planning, 3) Innovation Fig. 1: BBEST support ecosystem. and Entrepreneurship, 4) Undergraduate Research
these activities to be helpful to team building. The semesters on complex open-ended projects. In Capstone 1,effect of the team-building activities was confounded with many offered in summer and fall terms, teams form, define theirother factors, so the correlations were noisy, and more data is problem, and plan their project. After a break, teams reunite inrequired to establish statistical significance. The intensity of the the spring term for Capstone 2, when the project is carried outteam building activity was found to be strongly affected by the [5]. This paper explores methods used to help bond new teamsemphasis placed on it by
engagement. Some notable examples include: Generative AI specifically focuses on creating new text,audio, video, or other content types using algorithms like • Deep Seek: A cutting-edge AI-powered platform thatGenerative Adversarial Networks (GANs) and Variational leverages deep learning to create dynamic andAutoencoders (VAEs). Unlike traditional AI, which is interactive educational experiences. Deep Seek usesdesigned to mimic human intelligence across various real-time student performance data to adjust lessonapplications, generative AI aims to produce new data that plans, recommend resources, and provide instantresembles real-world examples by learning
CNC machine this part on a vertical mill with an automatic or semi-automatic tool changer. This will allow us Lowest Cost per Part: The 44-inch stock has the lowest to load the machine with the necessary tooling, and allow the cost per part at $0.62. CNC operator to simply fixture the part through its various Highest Cost per Part: The 96-inch stock has the machining stages. highest cost per part at $1.44.” Another well planned LLM prompt will return the cuttingConclusion. Order the 44” piece of stock. Table II shows the tool selection and subsequent
mimic some of the roles of a human tutor— such as hints for improvement [7]. The integration of AI-drivenproviding instant feedback, curriculum planning, content assessment tools also supports competency-based education,recommendation, automated grading and assessment, virtual where evaluations focus on a student’s ability to applyassistance, or creating custom learning materials at an concepts rather than on rote memorization. By continuouslyunprecedented scale, as shown in Fig. 1. monitoring progress and adapting to a learner’s needs, AI helps to create a more holistic picture of student
students' perception of AI powered image recognition can monitor decision patterns,intelligence, and their ability to adapt to AI strategies. learning curves, and adaptive strategies. This allows teachers to customize lesson plans based on individual learning trajectories [26][27]. What begins as a simple AI-driven game II. LITERATURE REVIEW transforms into a powerful tool for cognitive skill assessment Tic-Tac-Toe, a classic two-player game, is widely used in and personalized learning.education to introduce logic
logically and syntactically Education is one of the fields where AI has a great impact. correct. It can add comments to each line of code. TheEducation tends to adopt various modern practices to improve provided explanatory tutorial statements are great forthe overall educational experience, student engagement, and understanding the material. We may notice that a commentlesson planning. Various services and tools based on artificial error was discovered on a simple program of adding twointelligence are already used in the educational process. Some numbers and slightly different outputs based on the wording ofbenefits from the use of AI in education are: the input question. Although the example used is
, theresa@creus.com jjhu@bridgeport.edu, abhilash@bridgeport.edu, aelsayed@bridgeport.edu Abstract—The University of Bridgeport (UB) received Achieve) is an NSF IUSE: HSI project funded under thefunding from the National Science Foundation's Division of Planning or Pilot Projects (PPP) track for the purposes ofUndergraduate Education through its IUSE: HSI Initiative in thesummer of 2022 to increase retention, persistence, preparedness, planning a process for building capacity and enhancingand graduation rates of students majoring in Computer, undergraduate STEM education at less-resourced institutionsElectrical, Mechanical Engineering, and Computer Science (CS) as a means of increasing
Science 1 The most frequently applied theory was the Theory of Planned American Economic Review 1 Cogent Engineering 1 Behavior (TPB), which appeared in numerous studies, Economics of Transportation 1 indicating its relevance in understanding consumer intentions Renewable Energy: An International Journal 1 and decision-making [32], [33], [34]. These theories provided SAE International Journal of Sustainable frameworks for understanding the psychological and social Transportation, Energy, Environment
them. The projects of Things (IoT) startup company for their final project. Theyalso include a report out to the class so both the student and the were required to present a progress update and project plan atteam can demonstrate their learning in a peer review process. midterm and showcase their results during the final presentation. Corporate culture project: Cross disciplinary teams areformed with both business and engineering students included The startup company, Foot Traffic Stats, offers an IoTon each team. The team goal is to analyze several device that tracks foot traffic in specific locations. This
integration tools, including ETL (Extract,management. From figure 2, good governance begins with the Transform, Load) processes and cloud-based tools, offersestablishment of a well-structured plan that allocates specific scalability and adaptability to support the increase in theroles to the data stewardship to have responsibility to uphold demand for data [7]. Figure 3 showed that automatedthe integrity of the data and protection of the data. To provide pipelines increase efficiency, eliminate the errors associatedaccessibility and usability, the organization must have with manual intervention, and provide smooth transmissionstandard formats of the data that can easily integrate into other between the different
. be transformed using information pedagogy. The numeracy of The AI assisted tools for pedagogy are endorsed by CUNY “height controls time” being quadratic (height distance =Graduate Center with the massive deployment planned for 0.5*9.8*t*t) and “speed controls range” being linear (distance2026. The CUNY AI pedagogy activities have been supported = v0*t) is straight forward when the “simultaneously” isby a Google Grant at One million dollars. Currently our captured as data columns side by side, namely, time column,height column, and range column. With a student’s private can be used as well (Brief Electricity and Magnetismsubscription fee to AI, graphic output is included as well. Our
stronger computational focus, demonstrated supports data analysis, design simulations, and decision-higher confidence in applying prompt engineering to database- making. Prompt engineering fosters critical engagement with AIrelated tasks, with many planning to use these skills for tools even in humanities-oriented contexts, encouraging users toautomating tasks, optimizing queries, and generating sample data. interrogate biases and limitations. However, teaching this skillIn contrast, EEM students, while also showing improvement, were presents challenges: students’ prior
, and is discussed in the body of this paper. The presentations, and other compositions, which is the subject ofassignment allowing the most extensive use of AI was called the much ongoing discussion and debate [1, 2, 3].Expert Seminar for which students were commissioned to create Generative AI has been simultaneously transformative anda scholarly research-based presentation on a human-systems disruptive in the educational domain. Along with AI’sintegration topic and deliver it to the class with a planned emergence
be modified while adopting a lens related to technology the integration of structured technology in the high schools ofmanagement. This can also help in ensuring the benefits of all Saudi Arabia while focusing on student engagement, lessonthe approaches related to strategic decision-making within all planning, and the strategies of assessments?the policymakers and educational institutions of Saudi Arabia.However, without the involvement of proper evidence on the H02: There is no presence of significance among thelong-term benefits of all the operations investment within the participants of OPD and the inclusion of structural technologytraining programs for the online teacher can further remain
Saudi women entrepreneurs in NSPs. Achieving gender further obstacles [39]. Many women hesitate to enter theequality in entrepreneurship could significantly boost the sector due to difficulty obtaining financing, complexglobal economy, reinforcing the importance of addressing government regulations, and financial instability [1]. Poorbarriers to women’s startup success. financial planning and inadequate preparation contribute to
around May 2 [7, 8, 9]. The analysisrequire budget planning in the business world. The fact that a of the 13664 driven 2024 Mother’s Day Solar Storm based oncollege budget would cover the expenses of student skill the Solar Dynamics Observatory SDO images showed alearning projects and student research projects with tuitions threshold process on May 6, shown in Fig. 4.and fees is a proof that activities usually have some monetaryFig. 4. Solar Dynamics Observatory 9.4 nm image entropy (y-axis in unit ofbits) versus calendar date (x-axis). The studied period spanned from May 2, Fig. 6. Python Skimage.measure.shannon
goals and the collaborative nature of two Career Readiness modules were integrated into the coursethe planned activities. Since engineering problems often as extra-credit opportunities on the Blackboard site. Theserequire collective problem-solving and clear communication modules, developed by our institution’s Center for Careeramong team members, integrating these skills into the Readiness and Life Skills, include the Career & Self-curriculum helps students develop essential professional Development module and the Networking and Elevator Pitchbehaviors early in their education. The course structure, which module. Upon completing both modules, students earn oneincludes weekly team-based problem
execution. for agility and precision; implement waypoint mission planning software and GPS. Control & Control platforms and communication links Select redundant and robust communication links (e.g., digital transmission with Communication rigorously tested and verified for safe and reliable backup frequencies); implement failsafe mechanisms; conduct extensive ground Reliability operation. and flight testing.Safety & Predictability Design prioritized for safety and predictability to
cybersecurity awareness can prevent devastating financial losses.Assessment & • Case Study Analysis: Assign students a real or hypothetical scam case to analyze and report on.Follow-Up Activities • Fake Investment Test: Present students with a mix of real and fake investment opportunities and challenge them to spot the scams. • Role-Playing Exercise: One group plays the scammer, the other the victim. Can the victims resist the manipulation?Fig. 2. Example structured lesson plan for pig butchering scam Bloom’s Taxonomy SCANS Session
droughts, and altered of AI-based early warning systems, enhancing response timesprecipitation patterns have resulted in arid environments, and assisting policymakers and emergency responders inrendering trees extremely combustible. Intense winds, executing more efficient wildfire management methods. Theparticularly in areas susceptible to wildfires such as California, remaining tasks have been planned out as follows. The literatureexpedite the propagation of fires by transporting embers over is summarized in section 2; the proposed methodology fordetecting wildfire is explained in depth in section 3, the findings deep-learning architectures. The test results showed that theand
, University ofConnecticut, and the Faculty Pilot Grant Program, Penn Nursing, Universityof Pennsylvania. (a) (b) Fig. 1. Experimental view of the AIHT platform during experiments (a) Instance of a scenario illustrated with vignettes b) Trainee Nurse using the AIHT platform. of concept rather than definitive evidence. The planned expansion to 40 participants will provide a more robustEDA peaks compared to the trust-building phase, potentially evaluation of the
resolution,” in Proceedings of the IEEE Internationalimage models. We plan to investigate more sophisticated aug- Conference on Computer Vision, 2015, pp. 1823–1831.mentation techniques, such as generative adversarial networks [12] R. Timofte, V. De Smet, and L. Van Gool, “A+: Ad-[19] and adaptive transformations [20], with the goal of ap- justed anchored neighborhood regression for fast super-plying these methods to underwater super-resolution systems resolution,” in Computer Vision–ACCV 2014: 12thacross various aquatic environments. Asian Conference on Computer Vision, Singapore, Sin- gapore, November 1-5
. (2006). Student employment and higher education: Empiricism andinformation. contradiction. Review of Educational Research, 76(1), 63-92. [5] Lavelle, J. P., & Stimpson, M. T. (2018, June), A Strategic Plan to The sending of external scholarships at the departmental Improve Engineering Student Success: Development, Implementation,level allows the department to remain connected to both and Outcomes Paper presented at 2018 ASEE Annual Conference &students and stakeholders, including faculty, alumni, and Exposition, Salt Lake City, Utah. 10.18260/1-2—29724
]. In a traditional sense, the creation of sketching or rendering techniques. This early success hassketches started with the use of tracing paper which allows us provided a strong foundation for proposing an IRB form toto work in iterations. In this stage only a few sketches are initiate Human Subject Research in the upcoming academicconsidered for the next phase, “Figs. 1 & 2”. year, with plans to involve a broader student base. The preliminary implementation of AI in concept development for textile-based wearable healthcare devices has