Digital Commons Network^™

From Automation To Autonomy: Human Machine Relations In The Age Of Artificial Intelligence, Caja Thimm, Gabriele Gramelsberger, Maximilian Mayer, Frank T. Piller

Human-Machine Communication

The shift from automation to autonomy marks a new chapter in human-machine relations, especially in the context of the expanding and diversifying applications of Artificial Intelligence (AI). As machines gain capabilities that resemble autonomous agency, the boundary between human and machine autonomy blurs, challenging traditional concepts of agency, control, and independence. This special issue examines the multidisciplinary perspectives on autonomy in the digital age, addressing the complexities of attributing autonomy to machines and AI systems. Philosophical, sociological, and technical approaches converge to explore how emerging forms of machine autonomy impacts human agency, freedom, and decision-making, with applications spanning from autonomous …

Experiencing Ai: Learning Through Exploration, Nicole Mishnick, Dana Wise

Teaching Repository of AI-Infused Learning

The strategy of experiencing AI is centered around AI exploration and reflection in a doctoral-level technology course. Throughout the course, students were encouraged to use AI to complete assignments. However, they were also asked to critically reflect on the impact of AI use on their academic development and understanding of the coursework. Through discussion, reflection, and exploration, students learned to navigate the complexities of AI in a way that aligns with academic values and professional expectations.

Helen V. Stelle And The Tampa Public Library: A Case Study In The Development Of Florida Public Libraries During The 1920s, Rachel E. Trnka

Faculty Scholarship and Creative Works

Presentation at the Florida Historical Society Annual Meeting and Symposium.

As has been discussed by many historians, the nineteen twenties were a complex period in Florida, marked by the promise of the great land boom and increased migration to the state, which was countered by the challenges of the land bust, two major hurricanes, and the subsequent depression. The career of Helen V. Stelle, who served as the director of the Tampa Public Library from 1917 to 1949 and helped to establish the Florida Library Association (FLA) in 1922, provides one example of how Florida libraries were affected by these …

A Literature Overview: Ai, Oer, And Implications For Scaling Innovation, Rebecca Mcnulty, Lily Dubach, Sarah A. Norris, Amanda Major

Faculty Scholarship and Creative Works

Conference Presentation for the 2024 Open Education Conference.

The intersection of artificial intelligence (AI) and open educational resources (OER) holds significant potential for transforming education and scaling innovation. This presentation will offer an overview of the existing scholarly literature to describe the current landscape, including the opinions, opportunities, challenges, risks, and emerging trends. AI can play a pivotal role in enhancing the adoption, adaption, and authorship of OER, both through small experiments and larger theoretical discussions. However, AI also presents challenges and risks, including data privacy concerns, algorithmic bias, and ethical implications, in addition to a broader potential impact on …

Rethinking Digital Scholarship: Integrating Innovation, Ai, And Evolving Research Practices, Sarah A. Norris, Rachel Vacek

Faculty Scholarship and Creative Works

Presentation from the Library 2035 Mini-Conference.

As we approach the next decade, libraries are poised to undergo significant transformations driven by evolving research practices, emerging technologies, and shifting societal needs. Given this, advocating for the library's engagement in the research enterprise becomes increasingly critical. This session will explore how we can design forward-thinking digital scholarship services and models from the ground up, leveraging the lessons learned by others while envisioning novel solutions to help us rethink and innovate our approach to enhancing research encompassing digital publishing, data visualization, the digital humanities, data science, and data analysis.

The presenters will highlight …

Two Academic Libraries, One Study: Using Project Outcome For Assessment And Advocacy Across Partner Institutions, Katy Miller, Karen Kaufmann, Rachel E. Trnka

Faculty Scholarship and Creative Works

Slides from a webinar presentation hosted by ACRL Project Outcome promoting the publication of the book, Assessment and Advocacy: Using Project Outcome for Academic Libraries. The book collects case studies demonstrating how a variety of libraries have used Project Outcome to make improvements in their practice and highlighting the value the toolkit has brought to institutions and the academic library profession.

Video Spotlight - Using Search Limiters, Diamond R. Williams

Libraries' Documents

No abstract provided.

Ucf Libraries Programming Report, 2023-2024, Kasey Bennett, Ucf Libraries

Libraries' Documents

No abstract provided.

Beyond Gaming: Using Discord To Increase Communication In Your Courses, Christine I. Kugelmann, Carolyn Glasshoff

Faculty Scholarship and Creative Works

Discord is a versatile, free communication platform that supports text, voice, and video interactions within customizable servers. This tutorial shows how to integrate Discord into educational settings, highlighting its ability to facilitate instantaneous communication and secure information sharing. By organizing course-related discussions into distinct channels, educators can enhance student engagement and collaboration. The platform’s compatibility with various devices, including mobile phones, tablets, laptops, and desktops, ensures accessibility for all users. Additionally, Discord’s web-based option provides flexibility for those who prefer not to download the app. To comply with FERPA regulations, educators can set clear guidelines on the appropriate use of …

Ucf Pegasus Plan - Kindergarten - Importance Of Rules And Laws, Angelica F. Bryan, Juanita White

Pegasus Plans: Social Studies Unit Plans for Florida Teachers

During this unit, students will compare rules and laws, explore rules at school and home through role playing activities, and explore laws made for the community. Students will learn about the roles that individuals play in making or following rules and laws at school, home and in the community.

Two Academic Libraries, One Study: Using Project Outcome For Assessment And Advocacy Across Partner Institutions, Rachel E. Trnka, Karen F. Kaufmann, Katy Miller

Faculty Scholarship and Creative Works

Assessment and Advocacy: Using Project Outcome for Academic Libraries is a collection of case studies to mark the fifth’s anniversary of Project Outcome and share how various institutions have utilized the toolkit to improve their services. This chapter provides details on a cross-institutional study conducted at the University of Central Florida (UCF) and Seminole State College of Florida, the second largest feeder school of transfer students to UCF. During the Spring 2022 semester, students in English composition II courses are both institutions completed the Project Outcome immediate instruction survey. The chapter details the results of the surveys and discusses how …

University Of Central Florida Undergraduate Catalog, 2024 - 2025, University Of Central Florida

UCF Catalogs

No abstract provided.

Transforming Libraries Through Engagement: Lessons From A Library Ai Interest Group, Lily Dubach, Rachel Vacek

Faculty Scholarship and Creative Works

Learn how one academic library is engaging with its employees to explore the latest trends, tools, and topics in AI through an interest group (IG). Through stimulating discussions, webinars, guest speakers, demos, and sharing of experiences with AI, the IG empowers its library community to explore and become more comfortable with AI. This session caters to varying levels of AI expertise. Challenges, successes, and valuable insights for deeper engagement will be shared so you can learn how to establish a similar initiative in your library.

Ucf Libraries 2024 Faculty Research Showcase, Michael Furlong, David Benjamin, Renee Cole Montgomery, Chereeka Garner, Andy Todd, Peggy L. Nuhn, Jeanne Piascik, Tina H. Buck, Sara Duff, Sai Deng

Faculty Scholarship and Creative Works

The University of Central Florida (UCF) Libraries’ Faculty Research Showcase has been a tradition of the library to highlight the publications, research projects, and scholarly accomplishments of library faculty members. The 2024 Showcase features seven presentations: "Alas, Babylon Afterword, Centipede Press (1959/2024)", "Throwback to Throwback Thinking: Integrating Archives into Student Engagement Activities", "Recent Research Activity: A Tale of Two Studies", "I Think I Can… I Think I Can…: Lessons in Persistence and Relationships from The Little Engine that Could", "A Hybrid Approach to Library Deaccessioning: A Case Study from the University of Central Florida", "KBART Automation vs Manual …

Ucf Wsi Batch 34, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 06, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Lung Patch Batch, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 01, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 16, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 15, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 42, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 39, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 38, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 40, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 41, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 43, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 36, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 23, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 37, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …

Ucf Wsi Batch 02, Md Sanzid Bin Hossain, Yelena Piazza, Mujtaba Husain, Dexter Hadley

UCF Necropsy WSI

Pathologists diagnose biopsy samples with a stained specimen on the glass slide through a microscope. The entire specimen can be stored as a Whole Slide Image (WSI) for further analysis. However, managing and manually diagnosing hundreds of images is time-consuming and requires specific expertise. As a result, there is extensive ongoing research for computer-aided diagnosis of these digitally acquired pathology images. Deep learning has gained significant attention for its effectiveness with disease classification and segmentation of cancer cells from pathology images. For deep learning, a large number of annotated images are needed to build a robust and accurate model. However, …