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Designing a Human-Centred Learning Analytics Dashboard In-Use
Get PDFDespite growing interest in applying human-centred design methods to create learning analytics (LA) systems, most efforts have concentrated on initial design phases, with limited exploration of how LA tools and practices can coevolve during the actual learning and teaching activities. This paper examines how a human-centred LA dashboard can be further refined and adapted by teachers while actively using it in a real-world scenario (i.e., design-in-use), beyond its intended design (i.e., design-for-use). We use instrumental genesis as a theoretical lens to analyze the temporary and permanent instrumentalization of design features and individual and collective instrumentation of the LA dashboard. The analysis of semi-structured individual interviews with five nursing teachers who used an LA dashboard to guide team reflections with 224 students (56 teams) revealed technical and pedagogical changes that occurred in both the system’s features (instrumentalization) and teaching practices (instrumentation). We found that teachers adopted the LA dashboard beyond initially intended ways by (i) providing emotional support with the analytics, (ii) reducing details in AI-powered data visualizations for easier comprehension, (iii) creating data narratives to address data limitations, and (iv) collectively developing new practices to use the LA dashboard for co-teaching. Therefore, teachers’ design-in-use of the LA dashboard highlights the ongoing need for design improvements to address challenges posed by dynamic data and complex algorithms underlying AI and analytics interfaces
Assessing Spatial Distribution and Quantification of Native Trees in Saskatchewan\u27s Prairie Landscape Using Remote Sensing Techniques
Get PDFThe importance of trees in non-forest landscapes has been the focus of only a few studies. However, these trees provide many important ecosystem services. In this study, we mapped and quantified these trees using Sentinel-2 (S2) and very high-resolution (VHR) Google satellite imagery without any field campaigns. We performed a Random Forest (RF) classification to map the spatial distribution of native trees in different scenarios. The optimal model showed an overall accuracy and kappa of 0.99 and 0.98, respectively. We mapped 40,500 km2 of tree cover, including native tree cover (approximately 29,565 km2≈10.5%), excluding plantations, regional and provincial parks, and water bodies in the Canadian prairie region of Saskatchewan. According to our results, the highest numbers of native trees were found in the eastern and northwestern parts of the study area - cluster BLK_1 and the Black soil zone, with total cover of 5,388 and 13,233 km2, respectively. The lowest numbers of native trees were found in the southwest side of the study area - cluster BRN_6 and the Brown soil zone, with total cover of 2.38 and 979.5 km2, respectively. This research is important as detecting and quantifying native trees is an integral part of studies on carbon sequestration, economics, and effective management strategies
Raditation Test Report: Characterization of Fairchild Imaging CIS2521 CMOS Focal Plane Array
Get PDFThis report documents the results of radiation testing of Fairchild CIS2521 CMOS imaging sensor. Proton radiation measurements (both transient and total ionizing dose) were performed at the Crocker Nuclear Laboratory (CNL) of the University of California, Davis (UC Davis). Latchup characterization using Heavy Ion radiation was performed at the Texas A&M University Cyclotron Institute, Radiation Effects Facility
Generalized Linear Targeting for Cislunar Flight
Get PDFAn important element of Artemis and NASA’s campaign to explore the Moon is the autonomous onboard two-level targeter (TLT) used during all cislunar flight phases. The function of the TLT is to autonomously recompute the burn targets for the upcoming burn (or multiple burns) in response to navigation and vehicle dispersion providing a solution that meets all trajectory constraints. Although the TLT has been utilized previously as a ground-based planning tool, and flown onboard during the Artemis I mission, it’s complexity and iterative nature make is difficult to incorporate into and support rapid analyses such as robust optimal trajectory design applications where speed is essential. In this paper, a set of generalized linear targeting algorithms that mimics many of the properties of the TLT is derived. The generalized algorithms can handle single or multiple impulsive maneuvers, with multiple constraints at multiple fixed or variable times. A linear targeting algorithm for finite burn maneuvers is also derived. The generalized linear targeting algorithms are exceptionally fast and easy to implement in Monte Carlo analysis, linear covariance (LinCov) analysis, and robust optimal trajectory design. Several cislunar flight examples are provided
Phase Space Analysis of Two-Wavelength Interferometry
Get PDFMultiple wavelength phase shifting interferometry is widely used to extend the unambiguous range ( UR ) beyond that of a single wavelength. Towards this end, many algorithms have been developed to calculate the optical path difference (OPD) from the phase measurements of multiple wavelengths. These algorithms fail when phase error exceeds a specific threshold. In this paper, we examine this failure condition. We introduce a “phase-space” view of multi-wavelength algorithms and demonstrate how this view may be used to understand an algorithm’s robustness to phase measurement error. In particular, we show that the robustness of the synthetic wavelength algorithm deteriorates near the edges of its UR . We show that the robustness of de Groot’s extended range algorithm [Appl. Opt. 33, 5948 (1994)] depends on both wavelength and OPD in a non-trivial manner. Further, we demonstrate that the algorithm developed by Houairi & Cassaing (HC) [J. Opt. Soc. Am. 26, 2503 (2009)] results in uniform robustness across the entire UR . Finally, we explore the effect that wavelength error has on the robustness of the HC algorithm
The Burden Mothers Bear: Using the Health Belief Model to Understand How U.S. Mothers’ Intersectional Identities Shape Health Decision-Making During COVID-19
No full textThe disproportionate impact of COVID-19 on people of color and the burden placed on mothers created a need to better understand how mothers of color made health decisions for their families and communicated these decisions with others during the pandemic. This study investigated how this populations’ intersectional identities played a role in their health decision-making processes and overall experiences during COVID-19. Using the health belief model as a sensitizing concept, we conducted qualitative in-depth interviews with mothers of color across the United States about their lived experiences during the pandemic. Our findings suggest a need for health communicators to address the overburdening of mothers of color during crises, with special attention to self-efficacy messages that aim to reduce this burden and recognizing the role that intersectional identities play in the health decision-making process
Experiences of Families Bereaved by Opioid-Related Death
No full textFamily members bereaved by a drug-related death are underserved. In-depth semi-structured interviews were conducted with 12 people bereaved by a close family member’s opioid-related death. Reflexive thematic analysis was used to identify themes in four areas: emotional responses (e.g. anticipatory grief), communication about the death (i.e. open or closed), supports (e.g. social or formal), and advice for others who lost a family member to opioid-related death. Findings highlight the need to support and reduce stigma toward people who use drugs and their families. This study guides social work practice by identifying the needs of families bereaved by opioid-related death
Time and Habitat Structure Shape Insect Acoustic Activity in the Amazon
No full textInsects are the most diverse animal taxon on Earth and play a key role in ecosystem functioning. However, they are often neglected by ecological surveys owing to the difficulties involved in monitoring this small and hyper-diverse taxon. With technological advances in biomonitoring and analytical methods, these shortcomings may finally be addressed. Here, we performed passive acoustic monitoring at 141 sites (eight habitats) to investigate insect acoustic activity in the Viruá National Park, Brazil. We first describe the frequency range occupied by three soniferous insect groups (cicadas, crickets and katydids) to calculate the acoustic evenness index (AEI). Then, we assess how AEI varies spatially and temporally among habitat types, and finally we investigate the relationship between vegetation structure variables and AEI for each insect category. Overall, crickets occupied lower and narrower frequency bands than cicadas and katydids. AEI values varied among insect categories and across space and time. The highest acoustic activity occurred before sunrise and the lowest acoustic activity was recorded in pastures. Canopy cover was positively associated with cricket acoustic activity but not with katydids. Our findings contribute to a better understanding of the role of time, habitat and vegetation structure in shaping insect activity within diverse Amazonian ecosystems
The Utah Statesman, February 19, 2024
No full textWeekly student newspaper of Utah State University in Logan.https://digitalcommons.usu.edu/newspapers/2858/thumbnail.jp
The Utah Statesman, October 28, 2024
No full textWeekly student newspaper of Utah State University in Logan.https://digitalcommons.usu.edu/newspapers/2879/thumbnail.jp