Paper ID #41786Examining ChatGPT in Educational Settings: Ethics, Challenges, and OpportunitiesDr. Mudasser Fraz Wyne, National University I hold a Ph.D. in Computer Science, an M.Sc. in Engineering, and a B.Sc. in Electrical Engineering. Currently, I am honored to serve as a Professor of Computer Science and as the Chair for the Department of Computer Science and Information Systems at the School of Technology and Engineering, National University, San Diego, USA. Additionally, I am entrusted with the role of Academic Program Director for the MS in Computer Science. Over the years, I have played key leadership roles
adoption in theirworkplace, address its ethical implications, and enable better communication about AI initiativeswithin the organization. It also demystifies the technology, and ensures leaders can responsiblynavigate AI-driven changes.Most AI-related courses mainly focus on teaching programming languages and handling big data.A closer look at AI adult education reveals gaps and limitations in content suitable forprofessional adults – e.g in leadership, decision-making, ethics, governance and cultural aspectsof organizational change. Furthermore, AI education pedagogy for adult learners,is stillunderstudied. Literature suggests that adults are self-directed, experience-based learners.Therefore, their learning should involve self-planning
early introduction to the softwaredesign process and a consideration of ethical issues that are inherent in technology. A widevariety of projects that inevitably result from this process, also give students in class exposure toa wide range of possibilities when it comes to programming and where programming can beapplied, even at their early programmer level. Although this process is intensive and requiressignificant instructor time and was primarily done in classes of up to 43 students, the approachdescribed can be scaled to larger classes through trained teaching assistants and how to approachthis is discussed. The value of increased engagement, continued engagement and learning afterthe end of the course, and, confidence boost overall makes
important feature of a COVML which is crucial toaccommodate the increasing number of students and evolving educational needs[7].It is essential to teach students about ethical cybersecurity practices. This will provide them with thenecessary skills to responsibly test and secure computer systems. By emphasizing the importance ofethical behavior in cybersecurity, we can help to create a culture of trust, integrity, and responsibility inthe field. This will benefit individual students and contribute to a more secure and stable digitallandscape for all users[7, 26].2. COVML Safe Environment for Learning and Testing:Cybersecurity refers to the practice of protecting computer systems, networks, and data fromunauthorized access, damage, or theft. VM
computer ethics have evolved in the CS discipline over the past 50 years and found thatinterest in the topic only spiked around 2017-2018, despite the topics being explored to someextent in the mid-1970s, 1980s, 1990s, and 2000s [7].Researchers have addressed the issue of academic misconduct in the CS discipline in a variety ofways. One approach is the creation of CS specific policies to address the unique nature of work inthe discipline, which is often not covered by institution level policies for student conduct. Forexample, a study proposed a model for developing and implementing an academic ethics policy(which encompasses academic integrity) that specifically addresses the challenges imposed byinformation technology, through evidence-based
, 5. Network security, 6. Operating systems security, 7. Cloud security, 8. Software security, 9. Vulnerability analysis, 10. Penetration testing/ethical hacking, 11. Risk management, 12. Digital forensics, 13. Cybersecurity law and policy.BiometricsBiometrics information is playing a significant role in the field of cybersecurity. Three majorareas of biometric information processing in cybersecurity are listed below. 1. Access control: Biometric information is used to verify and authenticate any individual requesting access to confidential information and/or a secure facility. 2. Forensics: Biometric information can be analyzed to identify the person responsible for a malicious activity. 3. Biometric
. LaFerriere, “Enabling Meaningful Labor: Narratives of Participation in a Grading Contract,” J. Writ. Assess., vol. 13, no. 2, p. 1, 2020, doi: 10.35360/njes.316.[12] A. M. Shubert, “Contracts for a Time of Crisis : What I Learned from Grading in a Pandemic,” vol. 1, no. 17, 2021.[13] T. S. Harding, M. J. Mayhew, C. J. Finelli, and D. D. Carpenter, “The Theory of Planned Behavior as a Model of Academic Dishonesty in Engineering and Humanities Undergraduates,” Ethics Behav., vol. 17, no. 3, pp. 255–279, Sep. 2007, doi: 10.1080/10508420701519239.[14] T. VanDeGrift, H. Dillon, and L. Camp, “Changing the Engineering Student Culture with Respect to Academic Integrity and Ethics,” Sci. Eng. Ethics, pp. 1–24, Nov. 2016, doi:10.1007
[Machine Organization and Assembly Language] (n = 13) ● remove, CS[Introduction to Systems Programming] (n = 2) ● remove, same [Data Structures and Introduction to Algorithms] (n = 1) ● remove, CS[Computers, Ethics, and
, focusingparticularly on manifestations of algorithmic thinking. Our work was guided by the followingresearch question:1. How are students’ algorithmic thinking skills manifested in their approaches to solving problems using programming? MethodsResearch SettingIn this research, we focus on one section of an introductory computer science course for first-year engineering students at a private, highly selective research university in the northeasternUnited States. Because the course is for engineering students, there is a heavy emphasis onmodeling, data analysis, and statistics. The course is also a testbed for the inclusion of ethics andsociotechnical thinking within engineering classrooms. The section in this study
three attack vectors (4.4% of all theknowledge in the NICE Framework) TKSA Num- TKSA Description Phishing/Social Malware Web- ber Engineering Based Attacks K0003 Knowledge of laws, regulations, poli- * * * cies, and ethics as they relate to cyber- security and privacy. K0006 Knowledge of specific operational im- * * * pacts of cybersecurity lapses. K0066 Knowledge of Privacy
needed. When students post and reply to messages, and read the messages of their peers and give them feedback, this improves the quality of the learning environment dynamics and the richness of the content delivery.• Community Policies: These specify rules and standards of ethical behavior that must be followed. These should be shared with teachers and students at the start of the program. This helps to avoid confusion and inappropriate behavior. Web-based learning requires more internal self-regulation and external supervision. Community policies can provide a schema to help keep specific learning groups engaged in their online courses from beginning to end.In an educational context, the Activity model is a reminder that
them keep up with the technological changes. Overallmore African American teachers participated over four years. The teachers who participated inthe surveys reported that the program had increased their confidence in research andincorporated STEM in their classrooms. In addition, the program has provided flexibility to theteachers as they start their research two weeks after the students (REUs), which required theteachers to work more at developing their teams.ConfidenceMost of the effects were seen in the teachers' confidence in producing research articles forpublication, understanding research literature, and understanding the ethical issues surroundingresearch. Teachers' confidence levels barely changed between 2019 and 2020 but increased
student-centered approach to teaching and learning. [33].ITL aligns to guidelines provided by the Accreditation Board for Engineering and Technology (ABET)[34] to establish that students should be learning engineering in ways that look like the work engineers do([4], [35]). To meet ABET learning objectives and teaching through Inquiry, students work on teams toidentify, design, and solve complex problems and to create ways to test their ideas that meet specificneeds and constraints of health, culture, environment and economics, while communicating effectively todifferent stakeholders and exercising ethical and professional judgments. ABET learning objectives arerepresentative of Inquiry and not Transmission teaching ([4], [14]). Even