5917 research outputs found
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Dia de los Muertos Calaveras
No full textThis lesson has students create their own calaveras (sugar skulls) to analyze and produce specific characteristics from Mexican/Latinx cultural artwork.
This resource includes materials for a week worth of classes.
Texas Essential Knowledge and Skills (TEKS)
Historical and cultural relevance. The student demonstrates an understanding of art history and culture by analyzing artistic styles, historical periods, and a variety of cultures. The student develops global awareness and respect for the traditions and contributions of diverse cultures.
Created for Art classes.This lesson has students create their own calaveras (sugar skulls) to analyze and produce specific characteristics from Mexican/Latinx cultural artwork
Evaluation of Spent Grain Biochar for Effluent Remediation
No full textIn recent years, industries have become aware of their impact on the environment and their surrounding communities. The Brewers Association, for example, recently published a manual on the handling of brewery effluent. In this project, we explored the use of Brewers Spent Grain (BSG) to treat model effluent. Biochar was generated from BSG to produce a carbon rich that was used to filter regular tap water and typical brewery effluent. Total Dissolved Solids (TDS) were measured from treated solutions as an indicator of the filter capacity of the biochar. Data obtained from this pilot project seems promising and meaningful in that a decrease of 3.35% and 17.09% for tap water and model effluent was observed. We conclude that use of biochar from BSG in treating effluent can be helpful in reducing TDS. This can help reduce the stress put on the environment from industrial effluents. Further study would involve communicating these results to surrounding industries in addition to analyzing use of their solid wastes to generate biochar for effluent treatment
Central Office Decision-Making About Virtual Learning: A Scholarly Deliverable
No full textThe focus of this research and scholarly delivery is the decision-making of central office administrators regarding K-12 virtual learning. The first scholarly deliverable is a case study article meant for serving as a discussion piece or teaching tool for students in the educational leadership field wanting to obtain their master’s or doctoral degree. This article is titled “Virtually Everything Changes: Remote Learning and Tough Decisions in River Road ISD”. The case explores decision-making while implementing virtual learning amidst a global pandemic. The second scholarly deliverable is an empirical article titled “Central Office Decision-Making: K-12 Virtual Learning During COVID-19”. The article focuses on the decision-making practices of superintendents and central office administrators as they implemented, improved upon, and discontinued virtual learning
Let the Symbols Speak: A Story of Leadership
Get PDFThe data collection methodology used was Qualitative Case Study, Autoethnography, and Narrative Story.Abstract This article purposed to explore how superintendents instill democracy and democratic values in American public schools. This qualitative case study employed autoethnography as a research methodology to better understand in what ways the efficacy and praxis of the superintendents of independent public schools as founding members of the Public Education Visioning Institute of Texas had been influenced by their participation. Study findings resulted in an iconic unity of values, vision, and passion for change among the superintendents to improve not only their schools, but also all public schools. The implications of the study confirmed the need for further development of the Visioning Institute as a moral imperative to sustain democracy and democratic schools. Key words: democracy, Visioning Institute, leadership, autoethnograph
Factors influencing Teacher Recruitment and Retention in the Texas Panhandle
No full textThis study adopted a concurrent multi-strand mixed-method design to identify factors that influence teacher recruitment and retention in the region's rural school districts (Region 16, rural as defined by the National Center for Educational Statistics). The quantitative strand analyzed Region 16 district data obtained from the Texas Education Agency for the 2018-2021 academic years (Texas Academic Performance Reports and Public Education Information Management System data were used). Counts and percentages for more than 20 variables for rural Region 16 districts were obtained (e.g., district-level teacher turnover and achievement, enrollment, student and teacher demographics, teacher salary, class size). The 2020-21 AY TEA data was not made available until October 2022. In addition to descriptive analysis of teacher turnover trends, post-hoc exploratory analysis techniques were performed using Observation Oriented Modeling software (OOM) to ascertain relationships between teacher turnover rates and each variable, and to identify variable clusters. Time-based relationships between identified variable clusters and teacher turnover rates were tested using the Ordinal Pattern Analysis (Concatenated Orderings) function in the OOM software. The qualitative strand involved sending a researcher-developed questionnaire to Region 16 building principals (n = 224) to identify perceptions of the extent and nature of the problem, and factors that may influence teacher recruitment and retention not appearing in state data systems. The survey also aimed to determine the most common strategies used to recruit and retain teachers in the region. Surveys were administered during the months of June and July 2021. The 28-item questionnaire included both fixed and open response items, ending with an invitation to leaders to be interviewed about their experience in recruiting and retaining teachers. While only 14 leaders completed the survey, six leaders volunteered to be interviewed. Semi-structured interviewed were conducted in October and November 2021. Interviews explored leaders' perceptions of the most important factors influencing recruitment and retention, strategies for recruiting and retaining qualified teachers, and if working in rural communities requires specific preparation and support. Interviews also offered insights into how the pandemic affected teacher recruitment and retention. Survey data were analyzed using the OOM software in the fall of 2022. Interviews were transcribed in the spring of 2022. After removing of identifying information, the PI coded transcripts in the fall of 2022. A second round of coding is now being completed by a research assistant.Existing literature does not provide clear findings regarding factors that most influence teacher recruitment and retention in the Texas Panhandle. This concurrent multi-strand mixed-method design explored factors that influence teacher recruitment and retention in the region's rural school districts using four years of Texas Education Agency data, a 28-item questionnaire administered to the region's principals, along with interviews of a subset of surveyed building leaders. No single variable was significantly associated with or predictive of district teacher turnover rates. Questionnaire and interview data suggest improving recruitment and retention in the region requires tailored responses, ones derived from a deep understanding of school and community context
THE ROLE OF EDUCATIONAL DIAGNOSTICIANS IN PREPARING AND COMMUNICATING WITH PARENTS IN TEXAS PANHANDLE RURAL SCHOOLS
No full textBackground: Individual Education Plan (IEP) meetings can bring various feelings for everyone involved, and communication is crucial to a successful meeting. Literature about communication in these meetings is limited. This article explores the role of the educational diagnostician in communicating with parents for IEP meetings. Purpose: This research aimed to examine how educational diagnosticians communicate with families and determine if families understand the outcomes of the IEP meetings. Research Design: A thematic analysis was utilized in this qualitative study to understand the phenomenon, communication, the educational diagnosticians in the Region 16 service area serving rural schools. Findings: Educational diagnosticians adhere to state standards and communicate with families; however, parents still have difficulty understanding the special education process and their student’s IEP goals. Conclusion: Educational diagnosticians in rural Texas panhandle schools use best practices when communicating with families. Those best practices include required documents given to families promptly, timelines followed by federal laws, and preparing families for IEP meetings by having conversations
Leadership Practices of Trust, Charisma and Motivation that Influence Teacher Retention in Texas Region 19 Rural Public Schools
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The focus of this research and scholarly delivery are the leadership practices of trust, charisma and motivation that influence teacher retention in Texas region 19 rural public schools. The first scholarly delivery serves as a teaching tool for students in the educational leadership field seeking to obtain a master’s or doctoral degree. This article is titled “Is it the right thing to do?” “Examining Issues of Moral and Ethical Decisions in the School Setting” and it explores the moral and ethical decision making to transform an organization. The second scholarly delivery is an empirical article titled “Leadership Practices of Trust, Charisma and Motivation that Influence Teacher Retention in Texas Region 19 Rural Public Schools.” The article discovers interrelationships among trust, charisma, and motivation as related to school leadership and its role in teacher retention in rural schools
Entrevista a Luz Juarez
Get PDFInterview with Leticia Arpero conducted by Sanjuana Juarez as part of the Oral History Project "Forgotten Frontera."
Entrevista a Leticia Arpero realizada por Sanjuana Juarez como parte del Proyecto de Historia Oral "Forgotten Frontera."Center for the Study of the American Wes
“THE POWER OF A MAN TO DO WORK DEPENDS UPON HIS NUTRITION”: FOOD, ECONOMY, AND MORALITY IN THE UNITED STATES, 1893-1918
No full textThe history of federal dietary advice in America is over a century long, and many historians have evaluated its transformation as it relates to the economy, war, and agriculture. Academics such as Marion Nestle and Harvey Levenstein have made long careers out of analyzing the connections between food and politics over the last half-century, dissecting how profit-driven corporate food producers have influenced federally sponsored dietary tracts going all the way back to World War II. However, there is a dearth of analysis regarding these tracts in the context of ongoing cultural discourses prior to World War II. This thesis ventures farther back in time to the decades leading up to World War I, and it intends to examine some of the foundations of modern dietary advice using United States Department of Agriculture pamphlets published between 1894 and 1918. More specifically, it attempts to discern what this advice reveals about food’s popular perception and how both industry and government attempted to utilize powers of bureaucracy to moderate not only food production but also its consumption
A Multimodal Facial Emotion Recognition Framework through the Fusion of Speech with Visible and Infrared Images
Get PDFVery few infrared (IR) emotional databases are available for use, and most of them did not meet the framework requirements we were working on. To address this, we developed our own visible and IR image database called the VIRI database. This new database was created at The University of Toledo and was designed to overcome the limitations of existing IR databases and includes facial expressions captured in both visible and IR format in uncontrolled wild backgrounds. The database was created using pictures from on-campus students who consented to be included in the study. The VIRI database includes five different expressions (happy, sad, angry, surprised, and neutral) captured from 110 subjects (70 males and 40 females), resulting in 550 images in a radiometric JPEG format. The format constitutes visible, infrared, and MSX images and VIRI DB contains all three forms.The exigency of emotion recognition is pushing the envelope for meticulous strategies of discerning actual emotions through the use of superior multimodal techniques. This work presents a multimodal automatic emotion recognition (AER) framework capable of differentiating between expressed emotions with high accuracy. The contribution involves implementing an ensemble-based approach for the AER through the fusion of visible images and infrared (IR) images with speech. The framework is implemented in two layers, where the first layer detects emotions using single modalities while the second layer combines the modalities and classifies emotions. Convolutional Neural Networks (CNN) have been used for feature extraction and classification. A hybrid fusion approach comprising early (feature-level) and late (decision-level) fusion, was applied to combine the features and the decisions at different stages. The output of the CNN trained with voice samples of the RAVDESS database was combined with the image classifier's output using decision-level fusion to obtain the final decision. An accuracy of 86.36% and similar recall (0.86), precision (0.88), and f-measure (0.87) scores were obtained. A comparison with contemporary work endorsed the competitiveness of the framework with the rationale for exclusivity in attaining this accuracy in wild backgrounds and light-invariant conditions