Paper ID #45401Adjusting and Designing Assessments in Reducing the Negative Impact of theArtificial Intelligence: A Proposed Study of ChatGPT Usage in IntroductoryJava Programming CourseDr. Nur Dean, Farmingdale State College, State University of New York Nur Dean is an Assistant Professor in the Computer Systems Department at Farmingdale State College in New York. She obtained her PhD in Computer Science from The Graduate Center, City University of New York and holds an M.S. in Applied Mathematics from Hofstra University in New York. With a primary research focus on Game Theory and Social Networks, Dr. Dean also harbors a keen
awarded competitive campus grants tocreate applied learning courses [16].To incorporate applied learning further into the fabric of the campus, Farmingdale State Collegerevised its Mission of the College statement to include this new graduationrequirement: "Dedicated to student success, Farmingdale State College delivers exceptionalacademic and applied learning outcomes through scholarship, research, and student engagementfor Long Island and beyond. FSC's unwavering commitment to student-centered learning andinclusiveness prepares graduates to be exemplary citizens equipped to excel in a competitive,diverse, and technologically dynamic society.” The institution also integrated applied learninginto its Strategic Vision for Farmingdale State
, students are informed about thenature and intent of the survey, general explanation of the procedure, risks and discomforts,benefits, and confidentiality. The data collected offers valuable insights for engineering educators,helping them identify potential gaps and design targeted training and resources to better preparestudents for industry demands upon graduation. The survey begins with a consent form to ensureparticipants' informed participation. The following questions are asked in the survey. 1. Consent Form [Read] 2. Do you wish to participate in this survey? [Yes / No] 3. What is your age: [Open Ended] 4. What is your major: [Open Ended] 5. What is your year in college: [Open Ended] 6. Have you used generative AI
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
-Konak is a Professor of Management Information Systems and the Director of the Flemming Creativity, Entrepreneurship, and Economic Development (CEED) Center at Penn State Berks. Dr. Kulturel also has a courtesy appointment at Penn State Harold and Inge Marcus Department of Industrial and Manufacturing Engineering. She received her Ph.D. in Industrial and Systems Engineering from Auburn University. Dr. Kulturel’s research focuses on modeling and optimizing complex systems using hybrid approaches combining heuristic methods and exact techniques from probability and operations research. The primary application areas of her research include designing and redesigning facilities to provide significant economic benefits for
ideal of netzero and reduce carbon footprint. The research also examined two other cases in Tianjin, China,and Osceola County, Florida, USA. These cases show that a hybrid approach using the bestelements based on country-specific advantages is possible and highly practical. For example,the Middle East should use photovoltaic systems due to the abundance of solar radiation.Northern Europe could use wind and geothermal to accommodate the lack of sunlight duringwinter. Sustainable city design can design the city for workplaces, shopping plazas, andentertainment centers within walking or biking distance of residential areas, along with masstransit powered by fuel cells or electric vehicles. Also, planners should design buildings to usesunlight
feature allows students to learn at their own p ace, creating amore flexible and responsive learning experience.3 MethodologyThis research introduces a structured, multi-step framework tailored to enhance the learning experience ofundergraduate students studying NLP in Figure 1. The methodology combines theoretical instruction withinteractive tools, interdisciplinary case studies, and targeted applications in low-resource languages. Withdiverse teaching methods and innovative features, the framework addresses both the technical aspects andethical considerations inherent to NLP, aiming to give students a well-rounded understanding of the field.3.1 Research QuestionsA. What combination of theoretical and practical instruction best facilitates
. Lastly, the study seeks to understandstakeholder perceptions, exploring the views of educators and students on the efficiency,fairness, and acceptability of AI-assisted grading and whether these perceptions vary betweenundergraduate and graduate stakeholders.3.3. Broader ImplicationsThe research aims to contribute to the growing literature on AI in education, offering practicalinsights for adopting AI-assisted grading systems. By addressing these objectives andquestions, the study seeks to inform best practices for integrating AI into academic workflowswhile ensuring fairness, consistency, and quality in grading [10].4. MethodologyThis study adopts a mixed-methods approach to evaluate the efficiency, fairness, andperceived usefulness of AI
two innovative teaching methods: • Game-Based Visualization: This method transforms abstract programming concepts into tangible, interactive experiences, helping students understand and retain key material. • Phased Assessment: By breaking the final exam into incremental, low-stakes quizzes, this approach reduces stress and promotes gradual mastery, ensuring sustained engagement and better outcomes. The objective of this research is to demonstrate how these methods enable effective teaching of programming to a large and diverse group of students, ensuring the majority can confidently apply the concepts they’ve learned. This paper outlines the design, implementation, and impact of these
consistent with research on the mission of the two-year degree offering institutionsthat prioritize service and teaching for promotion and tenure [5].Identifying factors that enhance or impede women's abilities to advance is critical to futuregrowth of the engineering-related STEM academic workforce and may inform policy movingforward on best practices to support women who seek to advance. Future research will focus ondocumenting successful strategies implemented at institutions focused on developing a diverserepresentation of academic leaders in the higher education workforce. This includes furtherexploration of core questions surrounding the factors that positively impact female academicprofessionals' advancement and retention in STEM-related
engineering education. A review of fundamentals, best practices and experiences," International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 13, pp. 909-922, 2019.[5] D. Drane, M. Micari and G. Light, "Students as Teachers: Effectiveness of a Peer-led STEM Learning Programme over 10 Years," Educational Research and Evaluation, vol. 20, no. 3, pp. 210-230, 2014.[6] J. R. Reisel, M. R. Jablonski, E. Munson and H. Hosseini, "Peer-led team learning in mathematics courses for freshmen engineering and computer science students," Journal of STEM Education, vol. 15, no. 2, pp. 7-15, 2014.[7] S. B. Wilson and P. Varma-Nelson, "Small Groups, Significant Impact: A Review of Peer- Led Team Learning Research with