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Articles 1141 - 1170 of 30318
Full-Text Articles in Entire DC Network
Fostering Critical Ai Literacy In The Russian Language Classroom, Kit Pribble
Fostering Critical Ai Literacy In The Russian Language Classroom, Kit Pribble
Russian Language Journal
This paper argues for the integration of critical AI literacy into the Russian as a Foreign Language (RFL) classroom, drawing on recent conversations within the emerging field of critical AI studies. It presents two intermediate-level activities that incorporate generative AI and include learning outcomes aimed at promoting critical AI literacy. These learning outcomes include can-do statements such as "I can identify and discuss stereotypes present in an AI-generated image of a Soviet communal apartment" and "I can evaluate an AI chatbot's Russian-language output for cultural authenticity following a roleplay dialogue." These outcomes encourage students to critically analyze AI-generated content in …
"In 50 Words Or Less": Using Ai To Modulate Target Proficiency Levels In The Russian As A Foreign Language Classroom, Alexander M. Groce
"In 50 Words Or Less": Using Ai To Modulate Target Proficiency Levels In The Russian As A Foreign Language Classroom, Alexander M. Groce
Russian Language Journal
This paper proposes to look at methods for integrating artificial intelligence (AI) into the upper-level Russian as a foreign language (RFL) classroom in activities where variable search terms are used to modulate target proficiency levels according to the ACTFL scale. Specifically, this paper relies upon a series of classroom-based activities that employed AI technology to parse the short stories of Anton Chekhov. While employing some simple methods governing AI search terms can help to create a usable database of sample texts at varying proficiency levels, problems of machine language inherent to emerging generative AI still need to be addressed and …
Book Review: Russian Through Film: For Intermediate To Advanced Students; Pro-Dvizhenie: Advanced Russian Through Film And Media , Lynne Debenedette
Book Review: Russian Through Film: For Intermediate To Advanced Students; Pro-Dvizhenie: Advanced Russian Through Film And Media , Lynne Debenedette
Russian Language Journal
Using films as primary texts in third- and fourth-year Russian language classes (where students are likely to be between ACTFL Intermediate Mid and Advanced Low) presents both advantages and challenges for instructors and students. The two publications reviewed here are therefore welcome resources for instructors who seek to incorporate film into their upper-level language classes.
Glitching Mayakovsky: Teaching The Accidental Poetry Of Machine Learning, Carlotta Chenoweth
Glitching Mayakovsky: Teaching The Accidental Poetry Of Machine Learning, Carlotta Chenoweth
Russian Language Journal
In this article, I seek to build on recent scholarship investigating the aesthetic status of AI-generated objects and the creative potential of machine learning by asking how AI glitches can be productive, both poetically and pedagogically. The report outlines an activity I designed for an undergraduate Soviet literature survey course. For this activity, I ask students to work in small groups and generate their own pseudo-Mayakovsky poem using ChatGPT. After sharing the poems, we discuss questions including the following: in what way can Mayakovsky be considered the “author” of these poems? Does this constitute a new literary genre or form? …
Davai: Designing A Custom Chatgpt Bot For Russian Language Learners, Irina Meier
Davai: Designing A Custom Chatgpt Bot For Russian Language Learners, Irina Meier
Russian Language Journal
The article explores the development and application of DavAI, a ChatGPT-based bot designed for beginner and intermediate Russian language learners. It highlights the bot’s capacity to act as a powerful supplementary tool within Russian language education. DavAI features six virtual personalities that represent diverse geographical regions, cultures, dialects, and social backgrounds. The technical customization process of DavAI is detailed, emphasizing content integration and pedagogical strategies that enhance language acquisition. Practical steps for language instructors on developing custom AI chatbots are outlined, including defining the model’s scope and purpose, gathering and segmenting training data, and employing fine-tuning techniques such as Reinforcement …
Mastering Russian Case: Learning Challenges, Current Textbook Approaches, And New Perspectives, Olesya Kisselev, Angelina Rubina
Mastering Russian Case: Learning Challenges, Current Textbook Approaches, And New Perspectives, Olesya Kisselev, Angelina Rubina
Russian Language Journal
Russian case morphology is recognized as a persistent challenge to second (L2) and heritage language (HL) speakers of Russian by researchers and practitioners alike. However, little classroom-based and pedagogy-oriented literature exists on the matter. In this paper, we address this research gap. First, we present a review of the literature that attempts to explain the challenging nature of mastering Russian grammatical cases from the cognitive linguistic, structural, and psycholinguistic perspectives. We then describe the general approaches to teaching and learning Russian cases found in the most commonly used Russian language textbooks in the United States. Finally, we discuss a pedagogical …
Foreign And Heritage Language Learners’ Pragmalinguistic Choices In Russian Imperatives, Marina Tsylina, Anna Mikhaylova
Foreign And Heritage Language Learners’ Pragmalinguistic Choices In Russian Imperatives, Marina Tsylina, Anna Mikhaylova
Russian Language Journal
This experimental study examines the pragmalinguistic knowledge of both heritage and foreign language learners of Russian. Specifically, it focuses on how learners interpret the appropriateness of aspectual forms of Russian imperatives in given contexts. Due to limited exposure to authentic input, foreign language learners (FLLs) often face challenges in using pragmatically appropriate language. This study demonstrates that although heritage language learners (HLLs) are exposed to the language from birth, their knowledge of Russian imperatives may not fully align with that of monolinguals. The study participants included FLLs (n = 30), HLLs (n = 10), and monolingual speakers of Russian (n …
Multidisciplinary Collaboration For The Integration Of Ai In Slavic Languages And Literatures: The Learning Lab Model, Anna Ivanov
Multidisciplinary Collaboration For The Integration Of Ai In Slavic Languages And Literatures: The Learning Lab Model, Anna Ivanov
Russian Language Journal
The Learning Lab at Harvard University's Derek Bok Center for Teaching and Learning employs graduate students as Media and Design Fellows (MDFs) to support innovative pedagogy in their departments. Over the last few years and in its Summer of AI, the Learning Lab has explored AI and its applications and implications in education. As such, the Lab, its staff, and its MDFs have developed and run well-structured, intellectually rigorous learning opportunities for many departments. For the Department of Slavic Languages and Literatures, the Learning Lab used AI in language and literature workshops. This paper presents a few case studies of …
Spotlight: Tako Lako, Diverse Russian, & Professional Russian, Margaret Godwin-Jones
Spotlight: Tako Lako, Diverse Russian, & Professional Russian, Margaret Godwin-Jones
Russian Language Journal
The Digital Resources Corner (DRC) offers reviews of new digital resources that could be beneficial in the teaching and/or learning of Slavic languages. It is intended for instructors looking for or evaluating different materials to use in the classroom.
Ai Chatbot As A Companion In Writing Travel Notes, Maria Sulimova, Daria Dornicheva
Ai Chatbot As A Companion In Writing Travel Notes, Maria Sulimova, Daria Dornicheva
Russian Language Journal
This article explores the teaching potential of using generative artificial intelligence (AI) to enhance the writing skills of Russian heritage language (HL) speakers and advanced Russian as a foreign language (L2) learners. It is based on a learning scenario that was developed for university Russian classes and implemented in 2024 in an upper-intermediate course with a heterogeneous group (B2-level HL and L2 learners) at a German university. We focused on improving writing competency and fostering awareness in text work using a genre-based approach, working in five steps of a genre cycle in the travel note genre. Students engaged with a …
Developing Bosnian/Croatian/Serbian Conversational Chatbots Using Myai Builder, Danko Šipka
Developing Bosnian/Croatian/Serbian Conversational Chatbots Using Myai Builder, Danko Šipka
Russian Language Journal
The present paper reports on the development of Bosnian/Croatian/Serbian Novice and Intermediate Chatbots at Arizona State University. The principal AI platform used for this course is MyAI Builder, an open AI development tool. In the initial phase of this project, from the summer of 2000 to the Fall of 2022, materials to be used as the input for the platform were gathered. Various lexical lists and other materials were gathered along with developing an interactive platform. Next, numerous materials were selected by student researchers supported by ASU Melikian Center Research Grants. This is of particular importance given that it is …
Ai-Powered Genre-Based Writing Assignments For Intermediate And Advanced Russian Learners, Natalia Petrova, Iuliia Rychkova
Ai-Powered Genre-Based Writing Assignments For Intermediate And Advanced Russian Learners, Natalia Petrova, Iuliia Rychkova
Russian Language Journal
The integration of AI into language education has been a subject of growing interest among researchers and educators, but the adoption of even basic AI tools in the classroom has been slow and cautious (Vogt & Flindt, 2023). Most available research on integrating AI tools to improve L2 writing proficiency focuses on services that provide automated written corrective feedback (e.g., Tran, 2024; Wiboolyasarin et al., 2024). In contrast, this report explores the possible implementation of AI tools as teacher-facing systems (Baker & Smith, 2019), that is, how language instructors can use ChatGPT and Gemini to lower their workload in class …
Introduction To The First Thematic Issue: Artificial Intelligence (Ai) & Machine Translation In The Teaching Of Slavic Languages And Literatures, Liudmila Klimanova
Introduction To The First Thematic Issue: Artificial Intelligence (Ai) & Machine Translation In The Teaching Of Slavic Languages And Literatures, Liudmila Klimanova
Russian Language Journal
This editorial introduction frames Russian Language Journal’s first thematic issue on artificial intelligence (AI) and machine translation in the teaching of Russian and other Slavic languages, literatures, and cultures. It argues that the rapid spread of large language models makes AI impossible to treat as an optional add-on, pushing educators to revisit authorship, genre, literacy, and assessment while avoiding both moral panic and “quick-fix” approaches. The article synthesizes contributions that (1) integrate chatbots into genre-based writing and conversational practice while emphasizing critical AI literacy; (2) design context-aware conversational agents for Russian and Bosnian/Croatian/Serbian, noting pedagogical benefits alongside risks such …
Nonprofit Spotlight: Choice Humanitarian, Erica Jensen
Nonprofit Spotlight: Choice Humanitarian, Erica Jensen
Journal of Nonprofit Innovation
No abstract provided.
Research Summaries: Access To Education, Erica Jensen
Research Summaries: Access To Education, Erica Jensen
Journal of Nonprofit Innovation
No abstract provided.
Full Issue: Access To Education, Angie Holzer
Full Issue: Access To Education, Angie Holzer
Journal of Nonprofit Innovation
No abstract provided.
Landscapes Of Learning: How Nonprofits Are Bridging Educational Divides, Erica Jensen
Landscapes Of Learning: How Nonprofits Are Bridging Educational Divides, Erica Jensen
Journal of Nonprofit Innovation
No abstract provided.
Lack Of Women In Federal Level Politics In The United States, Ellie E. Romans Draper
Lack Of Women In Federal Level Politics In The United States, Ellie E. Romans Draper
Journal of Nonprofit Innovation
This paper explores the enduring underrepresentation of women in U.S. federal politics, analyzing historical exclusions and contemporary challenges. It identifies that, despite women constituting 50.5% of the population, they held only 28% of Congressional seats in 2023. The study assesses barriers such as the scarcity of female role models, inadequate support, and entrenched societal expectations that discourage political participation. Key findings suggest that these factors not only restrict women's entry and progression in politics but also affect democratic integrity and policy inclusivity. It highlights the organization She Should Run, which encourages women from diverse backgrounds to pursue political office, providing …
The Collective: Elevating Care For Children Through Collaboration, Cameron Outlaw
The Collective: Elevating Care For Children Through Collaboration, Cameron Outlaw
Journal of Nonprofit Innovation
A Child’s Hope Foundation fosters connection in the orphan care space through The Collective, an association composed of NGOs, care providers, and government agencies. The focus of The Collective is to eliminate isolation in orphan care by connecting everyone in the space to the support they need. A Child’s Hope Foundation fulfills these needs through connecting caregivers to needed resources, building partnerships with governments and nonprofit agencies, and supporting family placement for children.
Enhancing Data-Driven Decisions By Improving Nonprofit Transparency And Collaboration: A Study Of The Accessibility Of Nonprofit Data In The Global Landscape, Angie Holzer, Beverli Dewalt, Louis Ye
Enhancing Data-Driven Decisions By Improving Nonprofit Transparency And Collaboration: A Study Of The Accessibility Of Nonprofit Data In The Global Landscape, Angie Holzer, Beverli Dewalt, Louis Ye
Journal of Nonprofit Innovation
This paper addresses the pressing need for enhanced transparency of nonprofit data to improve nonprofit collaboration, emphasizing the development of a global nonprofit database. Globally, there is a lack of transparency and accessibility to nonprofit data, which reduces the ability to make better decisions 1) between nonprofits as they work to collaborate and improve outcomes, 2) with nonprofit resource providers (foundations, volunteers, donors, company CSR programs, governments, grantees, etc.) when making decisions about who to support, and 3) with nonprofits as they attempt to reach those who need their services. By analyzing 34 nonprofit databases from the European Union, the …
Narrative Engineering: Tools, Computational Structure, And Impact Of Stories, Michael A. Debuse
Narrative Engineering: Tools, Computational Structure, And Impact Of Stories, Michael A. Debuse
Theses and Dissertations
Computational Linguistics has a long history of applying mathematics to the grammatical and syntactic structure of language; however, applying math to the more complex aspects of language, such as narrative, plot, scenes, character relations, causation, etc. remains a difficult topic. The goal of my research is to bridge the narrative humanities with mathematics, to computationally grasp at these difficult topic, and help develop the field of Narrative Engineering. I view narrative and story with the same mathematical scrutiny as other engineering fields, to take the creativity and fluidity of story and encode it in mathematical representations that have meaning beyond …
A Comparison Of Polymers By Layer Deposition And Open Molding Additive Processes Through Fused Granulate Fabrication, Alexander Ray Gibson
A Comparison Of Polymers By Layer Deposition And Open Molding Additive Processes Through Fused Granulate Fabrication, Alexander Ray Gibson
Theses and Dissertations
Additive manufacturing (AM) continues to offer new possibilities in both production and economics. Various industries have quickly adopted AM to rapidly produce parts that would be difficult or cost prohibitive otherwise. Despite ongoing innovations that expand the technology's capabilities, significant limitations persist. Most AM processes are restricted by materials available, an inability to produce large parts, or by not achieving material deposition speeds and volumes to allow for certain products feasible. In addition, tight tolerances for features and surfaces cannot be produced without substantial post processing. Some of the post-processing techniques can even affect the material properties of the finished …
The Ghostly Angel In The Haunted Home: The Haunted House As A Metaphor For A Woman's Body In Crimson Peak, Andrea I. Amado-Fajardo
The Ghostly Angel In The Haunted Home: The Haunted House As A Metaphor For A Woman's Body In Crimson Peak, Andrea I. Amado-Fajardo
Theses and Dissertations
Crimson Peak (2015, dir. Guillermo del Toro), often overshadowed by del Toro's more critically acclaimed filmography, deserves to be acknowledged for its central trauma metaphor and its nuanced approach to gender. Far from being merely a horror movie fueled by disturbing sequences such as those found in contemporary supernatural horror films, Crimson Peak slowly unravels how Allerdale Hall parallels the film's female leads as they house and live with ghosts, revenants of a traumatic past. This essay explores the personification of the haunted house as a metaphor for the personified trauma that resides in a woman's body using Crimson Peak …
Contributions Of Glacier Meltwater To Water Resources And Water Quality Below The Ablating Coropuna Ice Cap In The Arid Peruvian Andes, Alexis Rowley
Contributions Of Glacier Meltwater To Water Resources And Water Quality Below The Ablating Coropuna Ice Cap In The Arid Peruvian Andes, Alexis Rowley
Theses and Dissertations
Rapidly retreating glaciers in the arid tropics are an invaluable resource for communities that depend on meltwater to support drinking water, agriculture, hydropower production, and mining. There is limited understanding of how glacier loss will impact regional water resources, groundwater flow paths, and water quality, especially during the dry season. The Nevado Coropuna volcano in Southern Peru has one of the largest remaining ice caps in the tropics, but has experienced rapid ice loss in the past few decades and is projected to disappear in the next century due to climate change. Located in the northern Atacama Desert, the arid …
Quality And Sensory Characteristics Of Selected Freeze-Dried Foods After 50 Years Storage, Prithiviraj Jegannathan
Quality And Sensory Characteristics Of Selected Freeze-Dried Foods After 50 Years Storage, Prithiviraj Jegannathan
Theses and Dissertations
Freeze-drying is a dehydration process that uses low temperature and pressure to remove moisture from food. With an annual market value of over $35 billion in 2023, freeze-dried foods are widely used in various situations requiring long-term storage such as military rations, emergency food supplies, and space exploration. Freeze-dried foods are becoming more popular for their quality, light weight, easy storage at room temperature, and quick rehydration. Moreover, many freeze-dried food manufacturers claim that their freeze-dried food products can last for 25 years or more. However, there are currently no published studies supporting such claims. Chemical, physical, and sensory properties …
Time Reversal Delivery Of Long Duration Noise To A Targeted Location: Achieving Higher Amplitude While Maintaining A Desired Spectral Shape And Maximizing The Spatial Extent, Rylee Scott Russell
Time Reversal Delivery Of Long Duration Noise To A Targeted Location: Achieving Higher Amplitude While Maintaining A Desired Spectral Shape And Maximizing The Spatial Extent, Rylee Scott Russell
Theses and Dissertations
Time Reversal (TR) is a signal processing technique that can be used to focus acoustic waves to a specific location in space, with most applications aiming to create an impulsive focus. This study instead aims to focus long-duration noise signals using TR. This thesis seeks to generate higher amplitude noise at a desired location over an existing method of broadcasting equalized noise. Additionally, this thesis explores various characteristics associated with focusing long duration noise using TR. The dependence of the focal amplitude on the duration of the focused signal is explored as well as the implications of using multiple sources …
The Influence Of Heat Therapy On Redox Signaling In Skeletal Muscle, Kimberly Miriam Richard
The Influence Of Heat Therapy On Redox Signaling In Skeletal Muscle, Kimberly Miriam Richard
Theses and Dissertations
Reactive oxygen species (ROS) have been identified as crucial signaling molecules in skeletal muscle adaptations to exercise and signal for protective pathways within the myofiber. Pathological heat stress studies in animals demonstrate the ability of heat to increase ROS production in skeletal muscle. Limited data on the influence of therapeutic heat on ROS production and redox signaling in human skeletal muscle exists in the literature. The purpose of this study was to assess ROS production and redox signaling in human skeletal muscle following an acute, therapeutic bout of heat treatment. We hypothesized that heat would create an oxidized environment within …
Phosphorus Adsorption Capacity Of Volcanic Scoria, Easton Jeffrey Perkins
Phosphorus Adsorption Capacity Of Volcanic Scoria, Easton Jeffrey Perkins
Theses and Dissertations
Phosphorus (P) pollution in stormwater runoff poses a significant threat to water quality, contributing to eutrophication and ecosystem degradation. This research evaluates the potential of volcanic scoria (VSco), an abundant and cost-effective resource in Utah, USA, to influence P concentrations in urban stormwater systems. Batch adsorption experiments examined the behavior of VSco across three particle sizes—fine (<0.841 mm), medium (0.841–2 mm), and granular (2.38–9.5 mm)—under conditions mimicking stormwater scenarios. The results reveal that fine VSco exhibited higher adsorption efficiency than medium and granular sizes, achieving notable P removal at higher concentrations. However, at lower concentrations, fine VSco showed potential for P release due to desorption of pre-existing P. Medium and granular VSco showed minimal adsorption capacity and, in some cases, acted as P sources, highlighting a dual potential depending on stormwater conditions. Adsorption isotherms indicate that the adsorption behavior of fine VSco aligns with the Langmuir model, with a finite and relatively low adsorption capacity. Calculated distribution coefficient (Kd) values for fine VSco ranged from 0.04 to 0.005 L/g, indicating weak adsorption efficiency compared to materials like activated carbon (1–10 L/g) or soils with moderate adsorption capacity (0.1–0.5 L/g). Loss-on-ignition tests confirmed that VSco’s performance is driven by its physical and chemical properties, particularly its calcium content, rather than organic matter. The study emphasizes caution in applying fine VSco for stormwater remediation due to its potential to release P under typical runoff conditions. However, fine VSco may still be viable in specific scenarios where P levels are higher, such as in stormwater hotspots or localized areas with elevated concentrations, allowing for targeted remediation. The research underscores the need for further testing to refine VSco’s applications, particularly in low-impact development (LID) practices, such as infiltration basins and rain gardens, to effectively manage P levels while supporting ecological and aesthetic goals. These findings contribute to understanding the complex role of VSco in urban stormwater systems, offering insights for sustainable water quality management and nutrient cycling in urban landscapes.
Performance Prediction For Hub-Based Swarms, Puneet Jain
Performance Prediction For Hub-Based Swarms, Puneet Jain
Theses and Dissertations
Optimization problems lie at the core of improving performance in various tasks, ranging from day-to-day work scheduling to coordinating robots in a warehouse fulfillment center. Distributed swarm systems provide a robust and adaptive solution approach to many optimization problems. Instead of using one really sophisticated agent, multiple smaller less sophisticated agents can provide the flexibility to evaluate more options and still provide a "good" answer. This dissertation uses graphs to model, analyze, and simulate swarm behavior, primarily to predict the time-to-converge (TTC) and success probability. First, we use a bipartite model for the distributed best-of-N problem, and show how the …
Assessing Coincidence Of Satellite Acquisitions And Flood Events To Predict Suitability For Flood Map Synthesis, Lyle Dale Prince
Assessing Coincidence Of Satellite Acquisitions And Flood Events To Predict Suitability For Flood Map Synthesis, Lyle Dale Prince
Theses and Dissertations
Flooding is a global problem that impacts people, communities, and governments every year. Better understanding of flooding in an area can enable improved emergency response before a flood hits. Flood maps are a crucial tool to translate what for most is an abstract flow, into a more understandable and actionable representation of who and what are at risk. Satellite based flood maps are a useful tool that has potentially global applications. We developed methods to determine which areas are suitable for generating satellite-based synthetic flood maps. For our processes we used Forecasting Inundation Extents using REOF analysis (FIER): a data-driven …