Digital Commons Network^™

Studio As Collage: Familiar And Strange, Alison Shields

Artizein: Arts and Teaching Journal

In this visual essay, I present an artistic inquiry I created as I examine the studio as a space to dwell, a space to daydream and a prompt for the imagination. I draw from previous research about artist studios and a visual archive created of objects within the studio as I re-imagine the studio as a collage; it is a place filled with odd juxtapositions of images, artworks, ideas and space that may produce new connections and imaginings. Through presenting the studio as both subject and process, I encourage readers to embrace the strangeness within familiar places.

Dreaming My Ancestors: A Poetic Inquiry Into Longing And Legacy, Maya T. E. Borhani

Artizein: Arts and Teaching Journal

This poetic inquiry traces certain aspects of my identity as the daughter of an Iranian immigrant growing up in the United States. I use autobiographic life writing (Hasebe-Ludt, Chambers, Leggo, 2009) to lay out (some of) the bones of a larger personal and family story, followed by a suite of poems addressing some of the mysteries, wonderments, gifts and reckonings that I am left with—and which are inherent to—my misplaced, scattered family history and lineage. Although my father shared little about his life in Iran before coming to the U.S., with the help of other relatives I have gleaned a …

Skyward, Darlene St.Georges

Artizein: Arts and Teaching Journal

Skyward illustrates the embodiment of creation-centred research (St. Georges, 2018; 2019; 2022b/c; 2023; St. Georges & Bickel, 2022), which relies on creative-experiential-engagement and interaction. Creation-centred research is uniquely rooted in métissage (Hasebe-Ludt et al, 2009), poetic inquiry (Fidyk & St. Georges, 2022; inpress) and storying (Archibald, 2009; 2019), and leans into arts-based practices (Leavy 2015; 2018; Sinner et al., 2018). The term “creation-centred” reflects the ontological and cyclical nature of artistic practices and supports its creative intention and integrity. Situated in an aesthetic and creation-centred paradigm, it resists privileged discourse while generating and weaving threads of our stories through the …

“I Feel Like I’M More Likely To Get Triggered, I Guess?”: A Poetry Cluster About Safety In Rape Culture Research, Amber Moore

Artizein: Arts and Teaching Journal

This paper offers and explores a poetry cluster of found list poems written from data collected in a feminist literacy education research study. The larger project examined secondary English teacher candidates’ responses to teaching and learning about sexual assault narratives from a trauma text set, as well as pedagogy for addressing sexual violence, rape culture, and Tarana Burke’s MeToo movement, in the literature classroom. The selected poems are raw, much like the subject matter they collectively speak to, and function together as micro collection that carry a particular politics: exploring what it means to resist rape culture as a witness …

Silent Interruptions: Democratizing Academic Discourse Through Wordless Narrative Research, Jeff Horwat

Artizein: Arts and Teaching Journal

Emerging in the early twentieth century, wordless novels portrayed stories of working-class laborers, immigrants, and other marginalized groups overlooked and silenced by industrialization. Wordless novels visually operationalize their silence by presenting their narratives without words to call attention to hidden struggles of different social groups exploited under capitalism, colonialism, and other forms of systemic violence. This paper explores how the generative power of visual silence forces a pause in hegemonic discourses to create space for reflection and social change. Drawing from the collectivist ethos of wordless novels, wordless narrative research is introduced as a method of creative inquiry to study, …

In The Imaginal Realm Before She Could Read: A Healing A/R/Tographic Inquiry, Barbara Bickel

Artizein: Arts and Teaching Journal

This healing a/r/tographic inquiry ritually cycles through ancestral time to the present inspired by a recently found small grey book above the author’s dad’s desk—10 years after his death. This article shines light and memory onto spirit infused matrixial borderspace(s) through the co-mingling of text and image; returning to a site where text first met image in the early years of the author’s life. She is both the young dreaming artist-child and the responsible artist/researcher/teacher seeking embodied relational imaginal knowledge through the light of both image and word.

Data’S Entanglements: Artmaking As Corresponding Companion During Diffractive Analysis, Kelly Clark/Keefe

Artizein: Arts and Teaching Journal

This essay invites readers into two creative correspondences that emerged during the author’s involvement in a participatory arts-based research project called Life Lines. The Life Lines project aimed at engaging a small group of young adults alongside researchers in their use of multimodal arts practices to inquire into what makes young adult identity work work the way that it does. In Life Lines the phenomenon of identity and the approaches to inquiry used to explore it were conceptualized through a material feminist framework that proposes the co-constituting nature of meaning and matter (i.e., bodies, atmospheres, and objects of …

The Way Of The Crane, Alexandra Fidyk

Artizein: Arts and Teaching Journal

Using pastiche, a dreamscape and reflection upon it, offers entry to a centring practice. In holding both, a new image emerges. The dreamscape—an unexpected scene of cranes in joyous dance—unfolds as actual dream and offers a metaphor for understanding the dreamer’s life. By extension, the dream returns practice as a syn- aesthetic engagement, which she calls expressive arts pedagogy. In this condensed yet nuanced rumination, personal and professional, poetic and haptic, participating and witnessing blur. This practice, the way of the Crane, is timely because it introduces, by embodying its own phenomona, a relational pedogogy for our troubled times—a pedagogy …

Interlude Art And Poetry, Darlene St.Georges

Artizein: Arts and Teaching Journal

Interlude cover page introducing Articles and Essays of this issue.

Introduction: Creative Encounters And Interruptions, Darlene St.Georges, Barbara Bickel

Artizein: Arts and Teaching Journal

Editorial Introduction to the issue 7 volume 1.

Front Matter 2022, Darlene St.Georges, Barbara Bickel

Artizein: Arts and Teaching Journal

Front Matter of Artizein: Arts & Teaching Journal Volume 7 issue 1

Full Issue Artizein 2022, Darlene St.Georges, Barbara Bickel

Artizein: Arts and Teaching Journal

Full issue of Artizein: Arts & Teaching Journal 2022 Volume 7 issue 1

Jaipuria Institute Of Management, Lucknow Organizes Winter School - 2022 On Research Methods

Management Dynamics

Jaipuria Institute of Management, Lucknow organized a five-day Winter School on Research Methods from December 12-16, 2022. The objective of the Winter School-2022 was to provide a platform for doctoral scholars as well as academicians to have a better understanding of research methods and to learn about new software and techniques to help in their research.

“Can A Snowman Have More Than Three Snowballs?” Conducting Project Studies With Young Deaf Children, Christi Batamula, Bobbie Jo Kite Herbold, Julie Mitchiner

Perspectives on Early Childhood Psychology and Education

This study explored conducting project studies with young deaf children in two American Sign Language (ASL) and English bilingual schools for deaf children. Project studies involve teachers’ facilitation of exploration on a topic that interests young children. In projects, children learn by doing, starting with questions based on children’s curiosity about a topic and finding answers to the questions through investigation, field trips, and play. Children then represent their understanding and ideas about the topic in various ways. This study used ethnographic methods by observing specific strategies that teachers used to facilitate deaf children’s learning in multiple early childhood classrooms. …

Assessment Of Co-Occurring Disabilities In Young Children Who Are Deaf And Hard Of Hearing, Brittany A. Dale, Raschelle Neild

Perspectives on Early Childhood Psychology and Education

Overall, the literature is clear that more research is needed on various assessment techniques for identifying co-occurring disabilities in young children who are deaf and hard of hearing (DHH). As individualized, norm-referenced assessment measures are updated to keep up with the changing demographics of the United States, there appears to be more of an effort to include children with various disabilities within the standardization samples; however, the communication barriers and required assessment accommodations remain the most salient with DHH students. Because accommodations are test-specific, psychologists must be cognizant of the accommodation and interpretation procedures of each test they select for …

The Importance Of Early Number Concepts For Learning Mathematics In Deaf And Hard Of Hearing Children, Clifton Langdon, Christopher Kurz, Marie Coppola

Perspectives on Early Childhood Psychology and Education

This chapter discusses important background knowledge and research findings from a variety of disciplines that inform best practices for supporting optimal mathematical achievement in all children. First, discussion will begin with the importance of early numeracy for later academic outcomes, and why prioritization of instruction time and early intervention are needed to increase the likelihood of a strong foundation in numeracy. Second, a brief overview of numeracy development milestones will provide a basis for discussion of our central thesis: language experiences can impact numerical cognition, which then have a significant impact on academic outcomes. Third, given the importance of numeracy …

Educational Strategies For Deaf Children With Autism Spectrum Disorder (Asd), Aaron Shield, Patrick Graham, Raschelle Neild

Perspectives on Early Childhood Psychology and Education

In this paper we highlight some of the difficulties that deaf and hard-of-hearing (DHH) children with autism spectrum disorder (ASD) are likely to exhibit in the classroom, such as echolalia and insistence on sameness, deficits in perspective-taking and theory of mind, difficulty producing and comprehending facial expressions and pronouns, articulation difficulties, and challenges with social interaction. For each challenging area we propose educational strategies that teachers may find useful, including video modeling, visual schedules, Social Stories, Power Cards, and peer support groups. We encourage educators to be flexible and creative in their use of multiple teaching strategies with these children, …

“Will You Help Me With My Homework?”: A Case Use Of Visual Methodologies In Research With (Deaf) Children, Jennifer S. Hensley

Perspectives on Early Childhood Psychology and Education

This is an analysis of a qualitative study and the visually compelling methodology that aimed to create child-friendly/child-inclusive research conducted with deaf children. The researcher engaged in one-on-one and focus group interviews with young deaf children, ages 6 to 12 years old, in signing, deaf schools around the United States. The methodology employed a combination of videos, pictures, and modeling to portray the abstract concept of “research” and participation in research as a means to informed consent and to engage children in the task of considering personal reflections compared to others’ experiences. This article reviews techniques applied and the resulting …

Universal Design For Learning: Promoting Access In Early Childhood Education For Deaf And Hard Of Hearing Children, Katie Taylor, Raschelle Neild, Michael Fitzpatrick

Perspectives on Early Childhood Psychology and Education

The following article is a literature review of the guiding principles for universal design for learning (UDL) specifically for early childhood education with implications for children who are deaf and hard of hearing (DHH). In recent years, early childhood education has become more inclusive for all children with and without disabilities. Given that educators need to plan lessons and design their classrooms with every child in mind prior to meeting them, guidance on the UDL framework is warranted. DHH children present unique barriers in the classroom. This article walks through the three guiding principles, engagement, representation, and expression along with …

Asl Rhyme, Rhythm, And Phonological Awareness For Deaf Children, Leala Holcomb

Perspectives on Early Childhood Psychology and Education

The author, who is of multigenerational Deaf heritage, provides a review of the literature on spoken and signed rhyme, rhythm, and phonological awareness used with young children. While a foundation of knowledge has been built with early language approaches in spoken language, little is known about parallel forms of these approaches in American Sign Language (ASL). ASL rhyme, rhythm, and phonological awareness have historically been absent from early childhood classrooms that serve Deaf children. The author explores why this is the case and draws upon historical events to provide answers. An autoethnographic account of the author’s experience with early language …

An In-Depth Analysis Of Topics In Deaf Education In Early Childhood Education, Raschelle Neild, Patrick Graham, Katie Taylor

Perspectives on Early Childhood Psychology and Education

Despite federal mandates of the services and inclusion of students who are deaf and hard of hearing in early childhood there is more discussion and research to be done to support educators and students who are deaf and hard of hearing and their families that they serve in early education. This article is an overview of a collection of eight articles housed within the special issue covering a range of topics related to critical issues in deaf education and early childhood education. These include: literacy and language development; developing and implementing universal design for learning; autonomy, self-advocacy, and self-determination skills; …

Preparing Practitioners To Work With Deaf And Hard Of Hearing Infants, Toddlers, And Their Families: Professional Competencies That Result In Positive Outcomes, Marilyn Sass-Lehrer, Jodee Crace, Raschelle Neild

Perspectives on Early Childhood Psychology and Education

Infants and toddlers who are deaf and hard of hearing (DHH) are unique in their physical and individual abilities and resources. Their diversity extends beyond hearing levels and involves physical, cognitive, social-emotional, and communicative attributes. Families with newly identified children have a wide range of backgrounds and experiences that influence how they respond to learning that their child is DHH and what they need from professionals in the first few days and months after their baby has been identified. While knowledge and skills generic to the field of early childhood special education provide a foundation for working with these children …

Session 12: Active Learning To Minimize The Possible Risk From Future Epidemics, Kc Santosh

SDSU Data Science Symposium

In medical imaging informatics, for any future epidemics (e.g., Covid-19), deep learning (DL) models are of no use as they require a large dataset as they take months and even years to collect enough data (with annotations). In such a context, active learning (or human/expert-in-the-loop) is the must, where a machine can learn from the first day with minimum possible labeled data. In unsupervised learning, we propose to build pre-trained DL models that iteratively learn independently over time, where human/expert intervenes only when it makes mistakes and for only a limited data. In our work, deep features are used to …

Session11: Skip-Gcn : A Framework For Hierarchical Graph Representation Learning, Jackson Cates, Justin Lewis, Randy Hoover, Kyle Caudle

SDSU Data Science Symposium

Recently there has been high demand for the representation learning of graphs. Graphs are a complex data structure that contains both topology and features. There are first several domains for graphs, such as infectious disease contact tracing and social media network communications interactions. The literature describes several methods developed that work to represent nodes in an embedding space, allowing for classical techniques to perform node classification and prediction. One such method is the graph convolutional neural network that aggregates the node neighbor’s features to create the embedding. Another method, Walklets, takes advantage of the topological information stored in a graph …

Session 12: Analysis Of State And Parameter Estimation Techniques Using Dynamic Perturbation Signals, Timothy M. Hansen

SDSU Data Science Symposium

The trend in electric power systems is the displacement of traditional synchronous generation (e.g., coal, natural gas) with renewable energy resources (e.g., wind, solar photovoltaic) and battery energy storage. These energy resources require power electronic converters (PECs) to interconnect to the grid and have different response characteristics and dynamic stability issues compared to conventional synchronous generators. As a result, there is a need for validated models to study and mitigate PEC-based stability issues, especially for converter dominated power systems (e.g., island power systems, remote microgrids).

This presentation will introduce methods related to dynamic state and parameter estimation via the design …

Session 11: Can Machine Learning Predict Particle Deposition At Specific Intranasal Regions Based On Computational Fluid Dynamics Inputs/Outputs And Nasal Geometry Measurements?, Mohammad Mehedi Hasan Akash, Zachary Silfen, Diane Joseph-Mccarthy, Arijit Chakravarty, Saikat Basu

SDSU Data Science Symposium

Along with machine learning modeling, numerical simulations of respiratory airflow and particle transport can be used to improve targeted deposition at the upper respiratory infection site of numerous airborne diseases. Given the need for more patient data from varied demographics, we propose a machine learning-enabled protocol for determining optimal formulation design parameters that may match nasal spray device settings for successful drug delivery. We measured 11 anatomical parameters (including nasopharyngeal volume, nostril heights, and mid-nasal cavity volume) for 10 CT-based nasal geometries representative of the population for this aim. We also ran 160 computational fluid dynamics simulations of drug delivery …

2d Respiratory Sound Analysis To Detect Lung Abnormalities, Rafia Sharmin Alice, Kc Santosh

SDSU Data Science Symposium

Abstract. In this paper, we analyze deep visual features from 2D data representation(s) of the respiratory sound to detect evidence of lung abnormalities. The primary motivation behind this is that visual cues are more important in decision-making than raw data (lung sound). Early detection and prompt treatments are essential for any future possible respiratory disorders, and respiratory sound is proven to be one of the biomarkers. In contrast to state-of-the-art approaches, we aim at understanding/analyzing visual features using our Convolutional Neural Networks (CNN) tailored Deep Learning Models, where we consider all possible 2D data such as Spectrogram, Mel-frequency Cepstral Coefficients …

Finite Mixture Modeling For Hierarchically Structured Data With Application To Keystroke Dynamics, Andrew Simpson, Semhar Michael

SDSU Data Science Symposium

Keystroke dynamics has been used to both authenticate users of computer systems and detect unauthorized users who attempt to access the system. Monitoring keystroke dynamics adds another level to computer security as passwords are often compromised. Keystrokes can also be continuously monitored long after a password has been entered and the user is accessing the system for added security. Many of the current methods that have been proposed are supervised methods in that they assume that the true user of each keystroke is known apriori. This is not always true for example with businesses and government agencies which have internal …

Covariance-Based Clustering For Classification, Theophilus Anim Bediak, Andrew Simpson, Semhar Michael

SDSU Data Science Symposium

Classification involves assigning observations to known classes based on some common features. Commonly known methods for solving classification problems include linear and quadratic discriminant analysis. Both methods assume each class follows a multivariate normal distribution with common covariance matrix for LDA and with class specific covariances for QDA. The equal covariance assumption in LDA is often described as almost unrealistic and simplistic in real-life applications, resulting in less flexibility and high bias. Estimating class-specific covariance matrices becomes a problem when there are large number of classes. This work proposes a method which is a compromise between LDA and QDA. Here …

Two-Stage Approach For Forensic Handwriting Analysis, Ashlan J. Simpson, Danica M. Ommen

SDSU Data Science Symposium

Trained experts currently perform the handwriting analysis required in the criminal justice field, but this can create biases, delays, and expenses, leaving room for improvement. Prior research has sought to address this by analyzing handwriting through feature-based and score-based likelihood ratios for assessing evidence within a probabilistic framework. However, error rates are not well defined within this framework, making it difficult to evaluate the method and can lead to making a greater-than-expected number of errors when applying the approach. This research explores a method for assessing handwriting within the Two-Stage framework, which allows for quantifying error rates as recommended by …