integrated into ScribeAR butother integration projects are possible. For example, ESPnet [21] is also a common speech to textplatform that is an end-to-end speech processing toolkit. It includes various applications such asspeech recognition, text-to-speech, speech translation, and speech enhancement.Recent advances in Large Language Models will also provide new opportunities for inclusiveconversational approaches. For example, a student project might use the new ChatGPT API thatas of May 2023 is now available as part of Microsoft Azure cloud services, to providesummarization or other textual transformation of a transcript [24]t.8. AcknowledgmentsWe thank the VR@Illinois program and the Department of Physics Graduate Office at theUniversity of
become whistleblowers be taken seriously, or not [7]; • Is the Amazon machine-learning algorithm used for recruiting discriminatory against women, or not [8]; • Should controversial public people be banned from Twitter and other social media platforms, or should the First Amendment protect them [9]; and • Should ChatGPT be embraced in school settings, or should it be banned [10], [11]. Acknowledging the relevance of ethics in CS education is not a novelty. In 1972, ACMreleased and adopted the first Code of Professional Conduct [12], with its last revision releasedin 2018 [13]. Discussions of professional and social responsibility in CS education have beenpart of professional forums for decades [14]. The 2017-2018
receive instant feedback about their score but do not have access to thequestion or their answer after they submit it. Students can re-attempt these exam topics infinitetimes; getting a (hopefully) different question each time.Students are free to access their notes and course materials while answering these questions andare encouraged to write and run test code as well. They are allowed to access the Internet ingeneral, however, they are forbidden from using Internet chat sites such as stackoverflow.com orquestion answering sites such as Chegg, CourseHero, or ChatGPT or from communicating withother people using any medium.Exam questions give the students 30 minutes to do problems that would typically take them 5-10minutes on a standard exam
not a definitive and exhaustive list, it is a good starting point andcan be modified to suit the specific needs and context of the partnership. (Note that the rubricwas constructed with the assistance of ChatGPT. Putting a collection of related ideas into astandard format, like a rubric, is one of the tasks that AI seems to do well. We share thisinformation when we share the rubric as an incentive for potential collaborators to improve it.)Workshop PlanThe IEC has developed a broad and very challenging vision of enabling MSIs and their students,staff and faculty to more fully become part of and contribute to the ECE enterprise. To realizethis vision, this workshop brought together IEC Core MSI members with the heads of other ECEdepartments
lives. Thisis especially true now, since the world is in the midst of a number of controversies dealing withbiased data sets for training of neural networks, ChatGPT unfair uses, or the Elon Musk’s call fora moratorium on AI development. Results from this research will be used as preliminary findings while planning large-scale regionalresearch activities related to AI that could be supported by NSF, Amazon Machine LearningUniversity or the Department of Education. A collaborative network consisting of localschoolteachers interested in AI and AI-active university professors will be created to furtherpromote and implement AI in the K-12 curriculum. Partnership modalities with the AI4K12organization will be investigated to improve AI literacy
to the question “Was there anything that you would take away fromthis experience and apply to future projects or group work? If so what?” in the survey wasanalyzed and validated in two ways. Salient themes were identified by the authors and thefrequency of those themes were tabulated to count the number of occurrences specific featureswere identified from students. Responses were coded into the following 8 themes:Communication, assigned roles, motivation, lab skills/course content, collaboration/teamwork,leadership, enjoyment, and delegation/group organization. In addition, the responses were inputinto an artificial intelligence natural language processing tool (ChatGPT, OpenAI) to identifythemes from responses in an unbiased manner. This
learning community of the course? Ex. Engage students with personal knowledge that can enhance class activities like students from various origins or countries who can discuss how climate change is affecting their homes YES or NO Are students required to demonstrate self-reflective processes in evaluating engineering in society? Ex. Require students to express and defend opinions on engineering issues in the news on a regular basis, like the effects of ChatGPT on education YES or NO Are there opportunities for students to demonstrate their ability to integrate multiple values into evaluation and decision making in an engineering context? Ex
students might help to gainmeaningful insight from students’ viewpoints to improve the AI certificate program. Finally, thelow number of student samples and institutional and regional effects may also be considered fora complete study in the future.6. AcknowledgmentThis work was funded and supported by the National Science Foundation (#2051113) andUSDOT Transportation Consortium of the South-Central States (TRAN-SET) (# 21-034, and#21-049) to YFJ.References[1] B. D. Lund and T. Wang, "Chatting about ChatGPT: how may AI and GPT impact academia and libraries?," Library Hi Tech News, 2023.[2] R. R. Murphy, Introduction to AI robotics. MIT press, 2019.[3] K. Siau and W. Wang, "Building trust in artificial intelligence, machine learning, and
Improving Decisions in Engineering Education Agents and Systems (IDEEAS) Lab, a group that uses multi-modal data to characterize, understand, a ©American Society for Engineering Education, 2023 Pushing Ethics Assessment Forward in Engineering: NLP-Assisted Qualitative Coding of Student ResponsesAbstractRecent headlines have featured large language models (LLMs), like ChatGPT, for their potentialimpacts throughout society. These headlines often focus on educational impacts and policies. Weposit that LLMs have the potential to improve instructional approaches in engineering education.Thus, we argue that as an engineering education community, we should aim to leverage LLMs tohelp resolve
more learner-centered and focusedon formative feedback rather than summative evaluation [1].As the world of technology continues to advance, a shift and embracement of new assessmentmethods is appropriate and necessary. For example, as of early 2022, the New York Timesreported that universities are now having to change the way they are teaching and assessingstudents because of the widespread availability of A.I. Chatbots such as ChatGPT [12]. WithinIE at Minnesota State University, Mankato, differential methods of assessment have beenemployed for over a decade and we want to share our experiences with oral exams to supportothers in embracing the changing world, better preparing engineering students for their futurepositions.Overview of