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Item Emotional Labor in Archives: Learn and Share(Society of Indiana Archivists, 2025-04-04) Knight Kinley, MikaylaArchivists often delve deeply into records, so how do archivists cope when they spend their time working with collections that hold painful, emotionally heavy or traumatic memories? For those archivists who strive to put into practice the ideas of radical empathy, how do they carry on with this emotional labor every day? Topics covered include the theories of ethics of care, radical empathy, and trauma-informed practices in archives, as well as ideas for support for archivists. This presentation is intended to ignite discussion for attendees during the presentation and going forward in their work.Item Do They Even Care? Measuring Instructor Value of Student Privacy in the Context of Learning Analytics(AIS, 2021) Jones, Kyle; Vanscoy, Amy; Bright, Kawanna; Harding, Alison; Library and Information Science, Luddy School of Informatics, Computing, and EngineeringLearning analytics tools are becoming commonplace in educational technologies, but extant student privacy issues remain largely unresolved. It is unknown whether or not faculty care about student privacy and see privacy as valuable for learning. The research herein addresses findings from a survey of over 500 full-time higher education instructors. The findings detail faculty perspectives of their own privacy, students’ privacy, and the high degree to which they value both. Data indicate that faculty believe that privacy is important to intellectual behaviors and learning. This work reports initial findings of a multi-phase, grant-funded research project that will further uncover instructor views of learning analytics and its student privacy issues.Item Preparing Students for Managing Large-Scale Scientific Data(University of Illinois at Urbana-Champaign Library, 2022) Murillo, Angela; Library and Information Science, Luddy School of Informatics, Computing, and EngineeringThis poster presents preliminary observations and feedback from the pilot year of a student internship program that was created to prepare and train students in managing large-scale scientific data. This student internship program is part of the CI Compass project, which is a National Science Foundation (NSF) funded project to provide support and enhance the data lifecycles of NSF Major Facilities (MFs). MFs are the largest-scale scientific efforts that the NSF supports and can take years to build, cost hundreds of millions of dollars to construct, are highly diverse, have heterogeneous data, and a wide range of cyberinfrastructure for capturing, processing, archiving, and disseminating data. MFs span science domains, including astronomy, climate, ecology, natural hazard, ocean science, physics, and seismology. This poster describes the technical curriculum, research program, project-based learning experiences, and future goals.Item Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals(ACM, 2023-07) Murillo, Angela P.; Brower, Don; Hossain, Sarowar; Kee, Kerk; Mandal, Anirban; Nabrzyski, Jarek; Scott, Erik; Virdone, Nicole; Ewing, Rodney; Deelman, Ewa; Library and Information Science, Luddy School of Informatics, Computing, and EngineeringThe CI Compass Fellowship Program (CICF) was developed to broaden undergraduate student participation in cyberinfrastructure (CI) research, development, and operations. CICF is a distinctive program for undergraduate students pursuing studies in computer science, information science, data science, and other related fields. During year one of the program, CICF had six students participate from two institutions. During year 2 of the program, CICF had fourteen students participate from nine institutions. This poster provides details of the CICF program development and summarizes the impact of the first two years.Item Community Data Curation Competencies Framework(iSchools, 2023-03) Murillo, Angela P.; Yoon, Ayoung; Library and Information Science, Luddy School of Informatics, Computing, and EngineeringLibrary and information science (LIS) professionals and educators have spearheaded data curation, providing services in research data management and scientific data curation, and delivering data curation education for the academic workforce. While public and private sector community organiza-tions, such as local government, non-profit organizations, and community-based organizations have become more data-driven, the specific data cura-tion needs of these organizations are not fully addressed in current data cura-tion research or education. This research aims to bridge this gap in existing data curation education by creating a community data curation competencies framework, developing a pilot curriculum based on this framework, and evaluating and disseminating the developed curriculum. This poster presents the preliminary results of the first phase of this project, where we developed a protocol to review existing data curation competencies to create the initial framework.Item Community Data Curation Curriculum Development(2023-09) Murillo, Angela P.; Yoon, Ayoung; Library and Information Science, Luddy School of Informatics, Computing, and EngineeringThis poster presents the preliminary findings of the two-year project, Community Data Curation Competency, which aims to extend the current understanding of data curation competencies in the context of community data, engage with strategic stakeholders (educators, practitioners, community organizations) in the process of curriculum design, and design a data curation pilot curriculum to fulfill the current gaps in data curation education to include community data curation competencies.Item Examining Virtual Reality as an alternative to in-person and online learning environments(Springer Nature, 2023) Shinde, Pranali; Murillo, Angela P.; Wood, Zebulun M.The continuous advances in virtual reality (VR) technology have increased its potential for tasks that require hands-on learning. One potential target for VR is its use as an alternative to online learning when a physical lab cannot be accessed due to learner’s financial, travel, or pandemic-related constraints. We enrolled 15 participants to assess VR’s feasibility as a modality to teach A+ certification skills. Each participant was randomly assigned to three groups (in-person lab, online lab, virtual reality lab). Participants completed System Usability Scale (SUS) and User Burden Scale (UBS) surveys and interviewed about their lab experience. In addition, VR participants completed a Technology Acceptance Model (TAM) survey. Participants reported the VR experience with lower system usability and higher user burden than other learning modalities. Virtual Reality participants in the study scored VR highly in its perceived usefulness, average for its perceived use, and high in perceived usefulness for learning and engagement. Learner adoption and onboarding of VR is a challenge worth surmounting. VR retains attention, increases learner retention, and incentivizes failure recovery. This study provides preliminary evidence supporting that further development of VR for training in spatial tasks holds promise over traditional learning modalities.Item Broadening Student Participation in Cyberinfrastructure Research and Development(Association for Computing Machinery, 2022) Murillo, Angela P.; Deelman, Ewa; Nabrzyski, Jarek; Pottier, LoïcThis poster presents preliminary observations from the pilot year of a CI Compass Fellowship Program (CICF) that was created to broaden student participation in cyberinfrastructure research and development. CICF is part of the CI Compass project, which is the National Science Foundation (NSF) Cyberinfrastructure Center of Excellence, created to provide support and enhance the data lifecycle of NSF Major Facilities (MFs) [1]. MFs are the largest-scale scientific efforts that the NSF supports and are highly diverse, have heterogeneous data, and a wide range of cyberinfrastructure for capturing, processing, archiving, and disseminating data, as well as providing access to sophisticated instruments and computational capabilities. MFs span many science domains, including astronomy, climate, ecology, natural hazard, ocean science, physics, and seismology [2]. Due to the complexity of the cyberinfrastructure and data that supports MFs, it is critical that we create educational opportunities for students interested in pursuing a career in this specialized cyberinfrastructure that supports large-scale science. The CICF program aims to provide students the opportunity to learn about cyberinfrastructure development and MFs, develop cyberinfrastructure-related skill sets important to the work of MFs, and engage directly with the MF CI professionals.Item Broadening student engagement to build the next generation of cyberinfrastructure professionals(Association for Computing Machinery, 2023) Murillo, Angela P.; Brower, Don; Hossain, Sarowar; Kee, Kerk; Mandel, Anirban; Nabrzyski, Jarek; Scott, Erik; Ewing, Rodney; Deelman, EwaThe CI Compass Fellowship Program (CICF) was developed to broaden undergraduate student participation in cyberinfrastructure (CI) research, development, and operations. CICF is a distinctive program for undergraduate students pursuing studies in computer science, information science, data science, and other related fields. During year one of the program, CICF had six students participate from two institutions. During year 2 of the program, CICF had fourteen students participate from nine institutions. This poster provides details of the CICF program development and summarizes the impact of the first two years.Item Data Curation Education: Cross-Disciplinary Analysis of Master’s Programs(University of Toronto Press, 2023) Yoon, Ayoung; Murillo, Angela P.; Jettpace, Thomas; Library and Information Science, Luddy School of Informatics, Computing, and EngineeringWith growing emphasis on data curation practice in both science and industry, there has been a call for information professionals to take on a substantial role in data curation. Library and information science (LIS) education has been responding to this call by offering various training opportunities from Master’s education to professional development. The most recent effort to systematically review a data curation curriculum offered by ALA-accredited LIS schools was in 2012, so it is time to revisit the progress and evolution of data curation education. The main goal of this study is to analyze the course content from the syllabi of various programs to understand what is being taught in LIS schools throughout graduate-level education. Further, because the need for data curation is apparent across different disciplines, and thus not only LIS but also other disciplines have been offering data curation courses, this study also analyzed syllabi from other disciplines. A total of 80 syllabi were analyzed in this study: 15 syllabi from 9 ALA-accredited institutions and 65 syllabi from 53 institutions of Carnegie Classification (CC). Our findings suggest a notable growth in LIS education in data curation since 2012, but LIS education still provides less training in technical skills. There was also a distinctive difference in educational approach to teach data curation between LIS (user- and service-oriented) and other disciplines (technical skills−focused), which brought different strengths and weaknesses in curriculum.