100039 research outputs found
Sort by
29. An AI Workshop for the Overwhelmed and Uninterested
Get PDFThe impact of ChatGPT and other Generative Al technologies on the role of an Instructional Designer prompted a quest to understand the pros and cons of Al for course development. Despite initial enthusiasm from some educators, many instructors resisted Al, expressing concerns about assignments, academic integrity, and Al-induced hallucinations. The workshop is designed for faculty members who may feel overwhelmed by the myriad uses of Al in education or simply lack interest in Al tools. It offers nuanced approaches to assignments, emphasizes fostering digital literacy for academic integrity, and explores turning Al-induced hallucinations into teaching tools. The workshop also underscores GenAl\u27s potential to reduce instructor workload by serving as an assistant in tutoring, brainstorming, and planning. To facilitate first steps with GenAl, two user-friendly tools, Teaching Tools and Perplexity, were featured. Positive responses indicate a growing interest in integrating Al into course design with ongoing efforts to address concerns and explore its potential
33. ChatGPT Assistance in Creating Chemistry Practice Problems: Pitfalls, Positives, and Possibilities
Get PDFChatGPT, a relatively new Large Language Model (LLM) artificial intelligence (Al) chatbot, has gained significant attention as the most downloaded software app, accruing over 100 million users within two months of its release. This software can generate quick, articulate responses to virtually any textual query. Many educators are concerned about its potential for enabling student cheating. However, it currently suffers significant limitations in solving chemistry problems-documented through peer-reviewed articles and from the author\u27s experience suggesting that chemistry students will perform far better, on average, by studying than by relying on ChatGPT. This is particularly true of math-centric problems, which the current chatbot frequently gets wrong. Although ChatGPT cannot yet replace human intelligence especially when heavy math or technical expertise are needed—it can be useful when coupled with enough subject knowledge to recognize and fix errors. In this article, the author summarizes his own experience with ChatGPT and highlights its potential benefits and limitations in chemistry education, as well as its ability to quickly generate practice questions for students. Such mass-question databases are of particular benefit for enabling students to reap the rewards of repeated practice, also known as the practice effect and testing effect
5. Navigating Benefits and Concerns When Discussing GenAI Tools With Faculty and Staff
Get PDFThe author works as a Digital Initiatives Librarian and is earning a second Master\u27s Degree in Instructional Design and Technology. He viewed ChatGPT immediately as yet another potentially useful technology. When educators at his institution promoted differing viewpoints regarding ChatGPT and other Al tools, he set out to demonstrate a method of Al integration similar to that of other technological tools. Using the Technology Consumer or Producer model and his own experience, he presented, discussed, and wrote about ChatGPT, its ethical issues, and its uses and impact on education. Reed shares his insights regarding creating instruction and training for educators. He also offers recommendations as to how educators can utilize Al in their courses
8. AI and Writing Classrooms: A Study of Purposeful Use and Student Responses to the Technology
Get PDFGiven that Al is here for the foreseeable future, I revamped my spring 2023 English courses to include using Al in purposeful ways. I submitted an IRB to test different approaches to integrating Al into my classrooms. The study asked students in three different English courses to complete pre- and post-reflections about their understanding of Al and its uses.
This chapter will discuss how my students responded to the use of Al in the writing classroom, how student attitudes toward Al shifted over the course of the semester, ideas for how to use Al in writing classrooms, and the main takeaways from the study
FlashTags: Evaluating a Novel Deterrent to Reduce Livestock Depredation
Get PDFSocial tolerance of carnivores can be improved by preventing conflicts through nonlethal predator deterrents (e.g., livestock protection dogs [Canis lupus familiaris] and human presence) that have been used for centuries. However, many livestock producers feel the existing preventative methods are inadequate for extensive production systems where livestock can be spread widely and have less human supervision. To address this issue, we developed and tested a new nonlethal tool called FlashTags to reduce livestock predation. FlashTags are ear tags worn by livestock that flash a random-light pattern at night when motion-triggered. In the first year, we tested the devices on domestic ewes (Ovis aries) and found no effect on sheep behavior. In the second year, we fit FlashTags on livestock at 13 operations in North America to test their efficacy at reducing domestic livestock predation to determine if further development of the FlashTags was warranted. All sites were previously affected by chronic predation by coyotes (C. latrans), gray wolves (C. lupus), and/or grizzly bears (Ursus arctos). We observed a significant reduction in reported predation by coyotes and wolves at 2 operations where rigorous data were collected, and at all but 1 site, livestock producers reported lower or no livestock depredation with FlashTags. However, we encountered a design flaw in our prototype that resulted in the majority of FlashTags breaking before the grazing season ended. These results suggest FlashTags offer a novel, low-maintenance, low-cost, nonlethal deterrent that producers would use if design improvements are made
Satellite Cluster Flight Using Guidance Trajectory and Model Predictive Control
Get PDFThis paper presents a model predictive control based framework that is used in conjunction with a polytope boundary constraint and the Hill- Clohessy-wiltshire equations to maintain a desired formation of a cluster of spacecraft while also allowing freedom to maneuver within the allowable bounds. A fuel optimal guidance trajectory is generated and the model predictive control framework controls to this desired trajectory. The operational polytope boundaries enable the predictive framework of the model predictive control to be used to make small maneuvers to correct perturbations from its desired trajectory. The boundaries are designed such that no two agents have overlapping regions, allowing the vehicles to execute avoidance strategies without continually maintaining the trajectories of other agents. The model predictive control frame- work combined with the convex polytope boundary enables a scalable method that can support clusters of satellites in safely achieving mission objectives while minimizing fuel usage. As part of the implementation of this control scheme, this paper compares the fuel usage for a three spacecraft system. This work also compares the computation and fuel requirements for L1, L2, and L∞ norm formulations of the framework
“\u3ci\u3eIt is Luring You to Click on the Link with False Advertising\u3c/i\u3e” - Mental Models of Clickbait and its Impact on User’s Perceptions and Behavior Towards Clickbait Warnings
Get PDFClickbait, a social engineering attack performed through social media, tricks users through sensationalized or misleading posts into clicking on links that direct them to malicious websites. With the recent boom in social media, clickbait has become a substantial security concern, necessitating efforts from platforms and academia to control it. Despite these attempts, clickbait is effective due to the lack of users’ knowledge. Therefore, we explore user mental models (thought processes about how something works) about clickbait to analyze their deficiencies and their influences on users’ behavior towards clickbait warnings. To this end, we conducted an online study with 770 participants over MTurk to generate user mental models about clickbait and to evaluate the clickbait warnings conveying harm. Our findings suggest that a large portion of users have a simple mental model that fails to comprehend the dangers of clickbait, indicating the importance of warnings in supporting and educating users. Overall, our studies provide valuable insights into understanding the impact of clickbait mental models on users’ online security behavior in social media and offer guidelines for future research in these directions
The Utah Statesman, July 29, 2024
Get PDFWeekly student newspaper of Utah State University in Logan.https://digitalcommons.usu.edu/newspapers/2869/thumbnail.jp
The Status of Women Leaders in Utah Business: A 2024 Update
Get PDFIn 2014, the Utah Women & Leadership Project (UWLP) released a research and policy brief titled “The Status of Women Leaders in Utah Business.”1 The brief was updated in 2018 to determine what, if any, progress had been made in women’s leadership within Utah’s business sector.2 Unfortunately, in most areas, instead of making progress, the percentage had decreased. Now, six years later, we are providing yet another update. In each brief, we compare Utah data with national data and review the applicable literature addressing women in the highest levels of business leadership, including C-level positions and presence on executive corporate boards. Decades of research have found that companies benefit significantly when women hold top leadership roles.3 Measuring the progress (or lack of) is important for change to occur