Digital Commons Network^™

Designing With And For Youth: A Participatory Design Research Approach For Critical Machine Learning Education, Golnaz Arastoopour Irgens, Ibrahim Adisa, Cinamon Bailey, Hazel Vega Quesada

Publications

As big data algorithm usage becomes more ubiquitous, it will become critical for all young people, particularly those from historically marginalized populations, to have a deep understanding of data science that empowers them to enact change in their local communities and globally. In this study, we explore the concept of critical machine learning: integrating machine learning knowledge content with social, ethical, and political effects of algorithms. We modified an intergenerational participatory design approach known as cooperative inquiry to co-design a critical machine learning educational program with and for youth ages 9 - 13 in two after-school centers in the southern …

Tutorial: Neuro-Symbolic Ai For Mental Healthcare, Kaushik Roy, Usha Lokala, Manas Gaur, Amit Sheth

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Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …

Meteor Radar Vertical Wind Observation Biases And Mathematical Debiasing Strategies Including The 3dvar+Div Algorithm, Alan Z. Liu, Zishun Qiao, Gunter Stober, Alexander Kozlovsky, Ales Kuchar, Christoph Jacobi, Chris Meek, Diego Janches, Guiping Liu, Masaki Tsutsumi, Njål Gulbrandsen, Satonori Nozawa, Mark Lester, Evgenia Belova, Johan Kero, Nicholas Mitchell

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Meteor radars have become widely used instruments to study atmospheric dynamics, particularly in the 70 to 110 km altitude region. These systems have been proven to provide reliable and continuous measurements of horizontal winds in the mesosphere and lower thermosphere. Recently, there have been many attempts to utilize specular and/or transverse scatter meteor measurements to estimate vertical winds and vertical wind variability. In this study we investigate potential biases in vertical wind estimation that are intrinsic to the meteor radar observation geometry and scattering mechanism, and we introduce a mathematical debiasing process to mitigate them. This process makes use of …

Citational Practices As A Site Of Resistance And Radical Pedagogy: Positioning The Multiply Marginalized And Underrepresented (Mmu) Scholar Database As An Infrastructural Intervention, Cana Uluak Itchuaqiyaq, Jordan Frith

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Discursive infrastructures are forms of writing that remain mostly invisible but shape higher-level practices built upon their base. This article argues that citational practices are a form of discursive infrastructure that are bases that shape our work. Most importantly, we argue that the infrastructural base built through citation practices is in a moment of breakdown as increasing amounts of people call for more just citational practices that surface multiply marginalized and underrepresented (MMU) scholar voices. Consequently, this article both theorizes citations as infrastructure while also focusing on a case study of the MMU scholar database to help build a more …

A Protocol For Coupling Volumetrically Dynamic In Vitro Experiments To Numerical Physiology Simulation For A Hybrid Cardiovascular Model, Abraham Umo, Ethan Kung

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Objective: The Physiology Simulation Coupled Experiment (PSCOPE) is a hybrid modeling framework that enables a physical fluid experiment to operate in the context of a closed-loop computational simulation of cardiovascular physiology. Previous PSCOPE methods coupled rigid experiments to a lumped parameter network (LPN) of physiology but are incompatible with volumetrically dynamic experiments where fluid volume varies periodically. We address this limitation by introducing a method capable of coupling rigid, multi-branch, and volumetrically dynamic in-vitro experiments to an LPN. Methods: Our proposed method utilizes an iterative weighted-averaging algorithm to identify the unique solution waveforms for a given PSCOPE model. We confirm …

Coupled Situational Awareness System To Improve Transportation Infrastructure Performance During Extreme Events, Hatim Sharif, Samer Dessouky, Md Jobair Bin Alam, Raghava Kommalapati, Hongbo Du Ph.D

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The dense road networks and numerous low water crossings throughout Texas may be contributing to the higher recurrence rates of floods that pose a danger to vehicles. A timely issue that should be addressed by researchers is the compounding of disaster. Flooding can be combined with other life-threatening occurrences such as power loss and interruptions of health and emergency services. During these events, rescue requests from the stranded communities overwhelm the emergency response facilities; impassable roadways and the paucity of reliable information on the affected areas and their accessibility hamper emergency response operations, causing several detours and delays that put …

Overview Of The Clpsych 2022 Shared Task: Capturing Moments Of Change In Longitudinal User Posts, Adam Tsakalidis, Jenny Chim, Iman Munire Bilal, Ayah Zirikly, Dana Atzil-Slonim, Federico Nanni, Philip Resnik, Manas Gaur, Kaushik Roy, Becky Inkster, Jeff Leintz, Maria Liakata

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We provide an overview of the CLPsych 2022 Shared Task, which focusses on the automatic identification of Moments of Change in longitudinal posts by individuals on social media and its connection with information regarding mental health . This year's task introduced the notion of longitudinal modelling of the text generated by an individual online over time, along with appropriate temporally sensitive evaluation metrics. The Shared Task consisted of two subtasks: (a) the main task of capturing changes in an individual's mood (drastic changes-`Switches'- and gradual changes -`Escalations'- on the basis of textual content shared online; and subsequently (b) the sub-task …

The Impact Of Pltl In Four Introductory Engineering Courses: Improving Access And Opportunity For Students Underrepresented In Stem Disciplines, Kimberly Luthi, Mohua Kar, Lisa Macon

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The performance assessment was a major component of the overall National Science Foundation-funded research project, Engagement in Engineering Pathways. The study examined underrepresented and female students’ abilities to translate cognitive knowledge into demonstrable performance-based proficiencies through engagement in Peer-Led Team Learning (PLTL) labs in post-secondary, undergraduate introductory engineering courses. Evidence from the study comes from 518 students enrolled in four engineering courses and PLTL labs. The research protocols, implementation process, and assessment of academic achievement of project participants are discussed. Data are analyzed across student demographics to identify performance indicators within PLTL activities that influenced students’ commitment and retention in …

Learning To Automate Follow-Up Question Generation Using Process Knowledge For Depression Triage On Reddit Posts, Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit Sheth

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Conversational Agents (CAs) powered with deep language models (DLMs) have shown tremendous promise in the domain of mental health. Prominently, the CAs have been used to provide informational or therapeutic services (e.g., cognitive behavioral therapy) to patients. However, the utility of CAs to assist in mental health triaging has not been explored in the existing work as it requires a controlled generation of follow-up questions (FQs), which are often initiated and guided by the mental health professionals (MHPs) in clinical settings. In the context of `depression', our experiments show that DLMs coupled with process knowledge in a mental health questionnaire …

Applying Expansive Framing To An Integrated Mathematics-Computer Science Unit, Kimberly Evagelatos Beck, Jessica F. Shumway

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In this research report for the National Council of Teachers of Mathematics 2022 Research Conference, we discuss the theory of Expansive Framing and its application to an interdisciplinary mathematics-computer science curricular unit.

Where’S The E In Oe? The Mcdonaldization Of Irish Outdoor Education, John Pierce, Simon Beames

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This paper presents key findings from a study that aimed to critically examine the practice of outdoor education in the Republic of Ireland. It consisted of 10 months of fieldwork across four public Outdoor Education and Training Centres (OETCs). Data were generated through participant observation, informal conversation, as well as centre websites. Findings from the thematic analysis are presented in the form of a creative non-fiction story—principally to protect the identities and centres involved. The findings were then interpreted through the theoretical lens of McDonaldization. Considering the dearth of outdoor education research in Ireland, McDonaldization provided a lens through which …

How Education On Climate Change Affects Consumers' Willingness To Participate In Carbon Offsetting Programs?, Leila Halawi, Deanna Demattio

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If airlines could have a better understanding of how to induce sustainable behavior in their customers, they can use these methods when building sustainable initiatives such as voluntary carbon offsetting programs. The purpose of the study was to determine if education on the consequences of climate change affects how consumers behave related to their interaction with carbon offsetting programs. Regional Scenarios were introduced with a natural disaster comparable to the region under review. A multistage sampling technique was utilized in this study. Firstly, using a cluster sample, groups were used rather than individual units of the target population. The results …

Height Information Aided 3d Real-Time Large-Scale Underground User Positioning, Houbing Song, Chengkai Tang, Cunle Zhang, Lingling Zhang, Yi Zhang

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Due to the cost of inertial navigation and visual navigation equipment and lake of satellite navigation signals, they cannot be used in large‐scale underground mining environment. To solve this problem, this study proposes large‐scale underground 3D real‐time positioning method with seam height assistance. This method uses the ultrawide band positioning base station as the core and is combined with seam height information to build a factor graph confidence transfer model to realise3D positioning. The simulation results show that the proposed real‐time method is superior to the existing algorithms in positioning accuracy and can meet the needs of large‐scale underground users.

Ionospheric Feedback And Ulf Quarter-Waves, Anatoly Streltsov, Evgeny V. Mishin

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This paper presents results from the numerical investigation of nonlinear feedback interactions between ULF field-aligned currents (FACs) and the ionospheric plasma in the global magnetospheric resonator with a non-symmetrical distribution of the plasma density in the conjugate hemispheres. The density asymmetry is enhanced by the introduction of the ionospheric valley in the hemisphere where the plasma density is already lower. The main result from this study is that in the non-symmetrical resonator, the ionospheric feedback mechanism, driven by the electric field with the maximum amplitude of 50 mV/m, develops nonlinear, intense, small-scale upward currents with a characteristic quarter-wavelength structure along …

Geographic Proximity To Primary Care Providers As A Risk-Assessment Criterion For Quality Performance Measures, Nathaniel Bell, Ana Lopez-De Fede Ph.D., Bo Cai Ph.D., John Brooks Ph.D.

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Importance Previous studies have found a mixed association between Patient-Centered Medical Home (PCMH) designation and improvements in primary care quality indicators, including avoidable pediatric emergency department (ED) encounters. Whether these associations persist after accounting for the geographic locations of providers relative to where patients reside is unknown. Objective To examine the association between geographic proximity to primary care providers versus hospitals and risk of avoidable and potentially avoidable ED visits among children with pre-existing diagnosis of attention-deficit/hyperactivity disorder or asthma. Methods Retrospective cohort study of a panel of pediatric Medicaid claims data from the South Carolina from 2016–2018 for 2,959 …

A Case Study Of Community Of Inquiry Presences And Cognitive Load In Asynchronous Online Stem Courses, Emily Faulconer, Darryl Chamberlain, Beverly Wood

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The design and facilitation of asynchronous online courses can have notable impacts on students related to persistence, performance, and perspectives. This case study presents current conditions for cognitive load and Community of Inquiry (CoI) presences in an asynchronous online introductory undergraduate STEM course. Researchers present the novel use of Python script to clean and organize data and a simplification of the instructional efficiency calculation for use of anonymous data. Key relationships between cognitive load and CoI presences are found through validated use of NASA-TLX instrument and transcript analysis of discussion posts. The data show that student presences are not consistent …

A Case Study Of Community Of Inquiry Presences And Cognitive Load In Asynchronous Online Stem Courses, Emily K. Faulconer, Darryl J. Chamberlain Jr.

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The design and facilitation of asynchronous online courses can have notable impacts on students related to persistence, performance, and perspectives. This case study presents current conditions for cognitive load and Community of Inquiry (CoI) presences in an asynchronous online introductory undergraduate STEM course. Researchers present the novel use of Python script to clean and organize data and a simplification of the instructional efficiency calculation for use of anonymous data. Key relationships between cognitive load and CoI presences are found through validated use of NASA-TLX instrument and transcript analysis of discussion posts. The data show that student presences are not consistent …

Rocket Measurements Of Electron Energy Spectra From Earth’S Photoelectron Production Layer, Glyn A. Collinson, Alex Glocer, Dennis Chornay, Robert Mitchell, Rob Pfaff, Tim Cameron, Et. Al.

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Photoelectrons are crucial to atmospheric physics. They heat the atmosphere, strengthen 28 planetary ambipolar electric fields, and enhance the outflow of ions to space. However, 29 there exist only a handful of measurements of their energy spectrum near the peak of 30 photoproduction. We present calibrated energy spectra of pristine photoelectrons at their 31 source by a prototype Dual Electrostatic Analyzer (DESA) instrument flown on July 11 32 2021 aboard the Dynamo-2 sounding rocket (NASA № 36.357). Photopeaks arising from 33 30.4nm He-II spectral line were observed throughout the flight above 120km. DESA also 34 successfully resolved the rarely observed …

Stability Characteristics Of The Mesopause Region Above The Andes, Fan Yang, Alan Z. Liu

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We report a detailed analysis of atmospheric stabilities in the mesopause region (85–100 km) based on over 2,000 hr of high-resolution temperature and horizontal wind measurements made with a Na lidar at the Andes Lidar Observatory, located in Cerro Pachón, Chile (30.25°S, 70.74°W). The square of Brunt–Väisälä frequency and the Richardson number are calculated, and occurrence probabilities of convective and dynamic instabilities are derived. An approach to assess the biases due to measurement uncertainties is used to obtain more accurate occurrence probabilities. The overall occurrence probabilities of convective and dynamic instabilities are 2.7% and 6.7%, respectively. High-, medium-, and low- …

Technology-Enabled Active Learning In Gen Ed Courses, Emily Faulconer

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Asynchronous online courses tend to lack a true “lecture”. In STEM, when communication of content engages students, learning is more effective.

Science At The Center: Meaningful Science Learning In A Preschool Classroom, Sara Raven, Julianne Wenner

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Even though children are natural scientists, many preschools isolate and limit science, which can cause children to miss out on valuable learning experiences and school readiness skills. Additionally, minimizing science at the preschool level fails to set a solid foundation for K-12 science education. In this single case study, we focused on the experiences and daily work of one constructivist-oriented preschool teacher who utilized science-based guided play and emergent curriculum as vehicles for important aspects of preschool learning. Findings demonstrate that with careful planning and intention, science can be utilized as a context for nonscience preschool learning objectives outlined by …

Podcasts In Science Classrooms: Storytelling For All Ears!, Sumeet Kulkarni, Brooke A. Whitworth

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Podcasts offer a unique tool in making science learning informative, engaging, and entertaining. They provide an excellent way to incorporate storytelling in science instruction. Podcasts can be accessed easily and free of cost on any internet-enabled device. Recording podcasts is also easy and inexpensive, making them useful to record lesson summaries and other content for revision. This article outlines different ways of using podcasts in the teaching and learning process. To support informal learning, podcasts typically cover cross-disciplinary issues that are relevant to present times as well as those important to local communities. They also feature interviews with researchers who …

Metrics In Group Work, Emily Faulconer

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Collaborative Learning, asynchronously online

• Critical Thinking
• Tech Literacy
• Communication
• Ethics
• Cultural Literacy
• Info Literacy

A Deep Learning Tool For The Assessment Of Pavement Smoothness And Aggregate Segregation During Construction, Mostafa Elseifi, Ramchandra Paudel, Md Tanvir Ahmed Sarkar, Hossam Abohamer, Nirmal Dhakal

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Pavement construction monitoring and quality assurance (QA) practices are mostly based on costly, discrete, and destructive methods. Most quality assurance programs are based on pavement construction procedures encompassing in-situ coring for layer thickness determination, density measurements, laboratory testing to measure volumetric properties, and smoothness measurements in case of the availability of a profiler. The main objective of this study was to develop a machine learning-based classifier for predicting pavement roughness and aggregate segregation based on digital image analysis, image recognition, and deep learning machine models. The developed Convolution Neural Networks (CNN) models were trained, tested, and validated using 600-pavement surface …

"Design For Co-Design" In A Computer Science Curriculum Research-Practice Partnership, Victor R. Lee, Jody Clarke-Midura, Jessica F. Shumway, Mimi Recker

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This paper reports on a study of the dynamics of a Research-Practice Partnership (RPP) oriented around design, specifically the co-design model. The RPP is focused on supporting elementary school computer science (CS) instruction by involving paraprofessional educators and teachers in curricular co-design. A problem of practice addressed is that few elementary educators have backgrounds in teaching CS and have limited available instructional time and budget for CS. The co-design strategy entailed highlighting CS concepts in the mathematics curriculum during classroom instruction and designing computer lab lessons that explored related ideas through programming. Analyses focused on tensions within RPP interaction dynamics …

Revisit Of Open Clusters Upk 39, Upk 41 And Phoc 39 : A New Binary Open Cluster Found, Xianhao Ye, Terry D. Oswalt, Jingkun Zhao, Yong Yang, Gang Zhao

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We investigate the three open clusters near Aquila Rift cloud, named as UPK 39 (c1 hereafter), UPK 41 (c2 hereafter) in Sim et al. (2019) and PHOC 39 (c3 hereafter) in Hunt & Reffert (2021), respectively. Using photometric passpands, reddening, and extinction from Gaia DR3, we construct the color-absolute-magnitude diagram (CAMD). Using isochrone fits their ages are estimated as 6.3 ± 0.9, 8.1 ± 1.4 and 21.8 ± 2.2 Myr, respectively. Their proper motions and radial velocities, estimated using data from Gaia and LAMOST are very similar. From their orbits, relative distances among them at different times, kinematics, ages, and …

Women’S Perceptions Of Problem-Solving In A Virtual Learning Environment, Kimberly Luthi, Ernie Friend, Angelique Tucker-Blackmon

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Virtual learning opportunities in computing and information technology courses are designed to facilitate the development of critical thinking skills, positive learning outcomes and increased problem-solving abilities. However, before engaging students in activities to increase their problem-solving skills, researchers need to understand the influence of virtual courses on students’ problem-solving perceptions since perceptions influence performance. This study is an analysis of women’s perceptions of their problem solving confidence, style and personal control before and after their participation in online courses within the Network Enterprise Administration Certificate program that was embedded as a specialized track leading towards the Networking Systems Technology Associate …

Adapting To Low Colorado River Flows And Storage: Lessons From 3 Computer Exercises, David E. Rosenberg

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As Colorado River flows and reservoir levels decline, discussion is ramping up about adapting operations to low flow and storage because existing operations adapt only to storage. This post reviews three recent computer exercises that adapted Colorado River operations to low flow and low storage. Three final paragraphs synthesize lessons to build towards more equitable and sustainable operations.

Advancement Experiences Of Women In Academic Senior Leadership Positions In Stem Disciplines: A Delphi Analysis, Kimberly Luthi, Mickey Kosloski

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This article explores structural support systems that lead to women's advancement and hindrance factors that either catalyze or delay women's career acceleration in higher education, specifically within STEM-related and workforce education disciplines. Through a consensus building approach, a four-round Delphi analysis explored the experiences and perceptions of 17 panelists who currently or formerly served in a senior-ranked position within a higher education setting at five institutions in the Southeast United States. The panel included women who met the eligibility criteria as subject matter experts and held positions as deans in a STEM discipline, principal investigators over federally funded STEM and …

Particulate Matters - Water Filtration And Solar Disinfection, Shelby A. Watson, Brooke A. Whitworth

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Those of us in the United States often take for granted that the water coming out of our faucets will be safe for drinking, cleaning, or brushing our teeth. Despite this, each year nearly half a million people visit emergency rooms because of waterborne diseases, resulting in over 100,000 hospital stays and thousands of deaths (Centers for Disease Control and Prevention [CDC] 2020). In fact, the CDC estimated that in 2017 people in the United States spent $3.8 billion on emergency room visits for waterborne illnesses.