, collaborative navigation and AI applications. ©American Society for Engineering Education, 2024 Integrating AI in Engineering Education: A Five-Phase Framework for Responsible ChatGPT UseAbstractOne of the challenges as the new technological advancements become part of everyday lives areto be able to incorporate and responsibly use them. The use of generative AI tools such asChatGPT, started to become more common, especially in educational settings. One of thechallenges is to understand how can we support students to be responsible generative AI userswhile highlighting the importance of original work and creativity. Another challenge is also howcan faculty decide on the appropriate amount of
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
• Students’ interest in STEM was slightly improved from 3.8 to 4.•At the same time, it was mentioned by the President’s Council of Advisors on Science and ➢ Example questions for ChatGPT on each ODE model • Students generally agreed that ChatGPT is helpful in facilitating their learning Technology that: “there is a need for the United States to produce approximately 1 million ➢ Example questions for ChatGPT on learning basic Python programming college graduates with STEM backgrounds over the next decade in order to retain its historical ➢ Example questions for ChatGPT on implementing ODE models with Python in Google Colab. preeminence in science and technology
ensuredcomprehensive coverage of the themes emerging from the interviews.Thematic Synthesis: The final phase involved aggregating the identified codes to generateoverarching themes. Two research team members followed the constant comparative method [5],which involved iterative comparison of data, codes, and emerging themes to ensure theoreticalsaturation and conceptual clarity. Figure 2 illustrates the extracted themes from the codes. Figure 1 Frequency of human-generated codesFigure 2 Reference frequency of human-generated themes. Multiple codes can reference a transcript file.AI Analytical ProcessIntegrating Large Language Models (LLMs) like ChatGPT into qualitative text
sensordata. Additionally, programming requirements are kept to a minimum, using simplified code snippets orpre-built models that students can run with minimal modifications. Tools like Google Teachable Machine[3] and open-source computer vision libraries (OpenCV [4]) are used to give students hands-on experiencewithout overwhelming them with coding.We also encourage students to utilize large language model tools like ChatGPT [5] to help them understandcode, draft code, and troubleshoot errors. By focusing on practical tools rather than building models fromscratch, we enable MET students to quickly become familiar with basic AI/ML concepts in a relativelyshort time, equipping them to apply these tools effectively in real-world engineering problems.C
content, such asblogs, posts, advertisements, essays, or reports.Features of different AI Writing ToolsEach writing tool must clearly explain its potential features to help users make the right choicefor their writing needs. Table 2 was generated after evaluating the functional aspects of AIwriting tools. The table includes various features such as "Plagiarism checker," "SentenceExpander," and "Write with AI." Among the tools assessed, ChatGPT, Jasper, Grammarly,Copy.ai, Buffer’s AI Assistant, SEOWind, Writesonic, Rytr, Essay Service AI, and Quill Botstood out as they share more than 10 features in common. These tools offer a wide range offeatures suitable for students and faculty in higher education. Other writing tools are available,but they do
; Antonenko, I., 2024, “Integration of AI into the Distance Learning Environment: Enhancing Soft Skills”, Arab World English Journal (AWEJ) Special Issue on ChatGPT.[17] Qadir, J., 2023, “Engineering education in the era of ChatGPT: Promise and pitfalls of gen- erative AI for education”, Proceeding of 2023 IEEE Global Engineering Education Confer- ence (EDUCON),.Salmiya, Kuwait, May 1 – May 4, 2023.[18] Oladoyinbo, T.O., Olabanji, S.O., Olaniyi, O.O., Adebiyi, O.O., Okunleye, O.J. & Ismaila Alao, A., 2024, “Exploring the challenges of artificial intelligence in data integrity and its in- fluence on social dynamics”, Asian Journal of Advanced Research and Reports, Vol. 18, No. 2, pp. 1-23.[19] Cheong, I., Caliskan, A. & Kohno, T