Digital Commons Network^™

Novice Teacher Voice Of Preservice Preparation To Support Low-Ses Students, Edna Richardson Richardson Billingsley

Walden Dissertations and Doctoral Studies

The problem that was addressed through this study was that there is a gap in the literature about the preparation of mid to lower elementary novice teachers to teach students with low-socioeconomic status (low-SES) in several districts throughout the Southern United States. Grounded in social justice theory, the purpose of the basic qualitative design was to explore lower to middle elementary teachers' perceptions on their preservice preparation to teach low-SES students. For this basic qualitative design, 12 novice teachers participated in semistructured interviews. Data were analyzed through thematic analysis with the following three top themes emerging: (a) poor preparation towards …

Accuracy Matters: Evaluating The Value Of Ai Tools For Summaries In Metadata, Emily Baldoni, Angela Yon

Faculty and Staff Publications – Milner Library

Since the introduction of ChatGPT in 2022, the potential impact of Artificial Intelligence on library workflows has been a topic of immense interest—and sometimes anxiety—in the library profession. In the area of cataloging and metadata, one frequently cited potential use for AI (particularly Large Language Models (LLMs)) is constructing summaries and abstracts of information resources. However, very little systematic assessment has been done of the characteristics, quality, and utility of AI-generated abstracts for library materials, leaving information professionals with little evidence on which to make data-driven decisions as to how, if at all, to implement AI-assisted workflows for this aspect …

2025 Unm Library Scholarship Day Collcted Abstracts, Unm Health Sciences Library & Informatics Center, Unm Law Library, Unm University Libraries

Scholarship Day 2025

This booklet compiles citations and summaries of recent scholarly works (and works in progress) authored by librarians from all three campus libraries. UNM authors’ names are bolded. It offers readers a snapshot of the ideas, innovations, and collaborations shaping the information science discipline today. Consider it an invitation to connect with colleagues whose work reflects the intellectual vibrancy of UNM’s libraries.

Artificial Intelligence (Ai) And The Anthropic Economic Index In The Mountain West, 2025, Cason Noll, Olivia K. Cheche, William E. Brown Jr.

Economic Development & Workforce

This fact sheet presents 2025 data on the state of artificial intelligence (AI) adoption among the five Mountain West states of Arizona, Colorado, Nevada, New Mexico, and Utah. The data are sourced from the “Anthropic Economic Index,” which provides data on Claude.ai (an AI large language model) and its adoption across all 50 U.S. states and Washington, D.C. This fact sheet focuses on Claude.ai usage, the most common topic Claude.ai has been used for, and augmentation and automation shares for each Mountain West state.

Transforming Public Services For Stem Students And Faculty, Tessa Withorn, Robert Detmering

Faculty and Staff Scholarship

Despite institutional priorities to expand STEM education and research activity, some academic libraries struggle to engage faculty and students in these disciplines with library resources and services. This column shares and reflects on how strategic liaison librarianship can address the needs of STEM programs at a large, public university. Implementing new services around research impact and data management and building fruitful connections with STEM researchers has reinvigorated and increased engagement with the library. In the future, a team-based liaison model shows promise for sustaining relationships and forging new paths that communicate the value and impact of the library.

Data Cleaning With Excel, Rubab Shahzad

Day Family Research Lab Workshop Series

This workshop will delve into the importance of cleaning research data and why clean data is an important part of the larger research data lifecycle. This session will also provide an overview of data cleaning and preprocessing using Microsoft Excel including a hands-on demonstration.

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Cv: Philip Blankenship (Behavioral Neuroscience), Philip Blankenship

Psychology Department Faculty Curricula Vitae

No abstract provided.

Cv: Christie Billups (Theology, Peace And Justice Studies), Christie Billups

Theology Department Faculty Curricula Vitae

No abstract provided.

Access Denied: An Argument Against King’S Propositional Access Principle, Jesse Fitts

Philosophy Faculty Research

Accounts of propositions face a problem that originates in the ontology of numbers: If propositions are abstract and causally isolated, then it’s unclear how agents cognitively access them. Jeff King presents a solution to this problem for his theory of propositions. King’s solution follows from a more general principle of cognitive access, which this paper challenges.

Educators' Reflections On Competency-Based Learning: Reflecting 5 Years Of Nep 2020, Gaurav Agarwal, Anannya Chakraborty, Dimple Sood, Priyanka Sharma, Aditi Malviya, Shreevarshini K, Abha Bhagat

ACER India

The National Education Policy (NEP) 2020 brought a significant transformation in India’s education system by promoting a more holistic, adaptable, and skills-focused approach to learning, moving beyond rote learning. At the core of this shift is Competency-Based Learning (CBL), which encourages the development of essential skills like critical thinking, creativity, and application of what students learn in real life. To make this shift meaningful, understanding the thought process and perspectives of teachers who operationalise CBL principles is crucial. Their experience and insights can help identify the systemic supports that are necessary to build a strong foundation for teacher and student …

Framework-Based Mathematics Intervention: A Practice Guide For School Psychologists, Shaalein C. Lopez

Journal of Applied Disciplines

School psychologists are charged with providing guidance related to the implementation of evidence-based interventions across academic subjects including mathematics. Despite recent advances in the availability of empirically supported intervention and instructional strategies in math, finding appropriate math-related interventions that go beyond fluency building and metacognitive techniques into the realm of math understanding and concept building remains difficult for school psychologists. The adaptation of a framework-based approach to mathematics intervention, such as one developed by the National Center on Intensive Intervention, provides school psychologists with an evidence-based approach that overcomes numerous barriers to providing support for students struggling with mathematics learning.

When Blatant Stereotype Threat Manipulations Fail: Participant Skepticism, Perceptions Of Experimenter Bias, And Anticipation Of Performance Used For Evaluation, Allison Seitchik, Emily J. Hangen

Psychology Faculty Publications

Past research has found a lack of stereotype threat effects with various explanations. Across four studies, we investigated participant skepticism toward blatant stereotype threat (vs. control) materials by measuring women’s personal beliefs and perceptions of the experimenter’s beliefs about gender differences existing on an upcoming math test. The results supported personal skepticism: participants perceived the experimenter as holding stereotyped beliefs on the task to a greater degree than the participants did themselves, regardless of stereotype threat materials. Although participants’ beliefs and their perceptions of the experimenter’s beliefs did not explain performance, anticipation of their data being used to test for …

11.10.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Sherilyn Hulugalla winds Biosafety and Biosecurity Month Challenge

An Integrated Ca–Markov Modeling Framework For Forecasting Land Use And Land Cover Dynamics In Arkansas, Usa, Rasool Vahid, Mohamed H. Aly

Environmental Dynamics Faculty Publications and Presentations

Land use and land cover (LULC) changes significantly shape urban environments and directly impact ecological and socioeconomic systems. This study aims to explore these interconnections by employing the Cellular Automata–Markov (CA–Markov) model to assess and predict LULC dynamics in Arkansas. Historical LULC datasets from 2001 to 2021, obtained from the National Land Cover Database, were simplified from 11 into 5 classes to facilitate analysis and effectively map transitions. The model was validated by predicting LULC for 2016 and 2021 and comparing the predictions with the real maps, achieving an overall accuracy of approximately 91.9%, using model validation metrics, including precision, …

Shape: Spatial Health And Population Estimator, Emma M. Von Hoene, Aanya Gupta, Hamdi Kavak, Amira Roess, Taylor Anderson

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Culture Mediates Climate Opinion Change: A System Dynamics Model, Louis (Lou) Gross, Yoon Ah Shin, Sara M. Constantino, Ann Kinzig, Katherine Lacasse, Brian Beckage

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Reev] Describing Social Movement Evolutionary Pathways Through The Conviction-Moderated Adaptive Voter Model, Arturo F. Serrano Borrero, Dylan Green, Olivia J. Chu

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Social Isolation: A Data-Driven Index Function Design And Implementation, Jeremis N. Morales Morales, Carmen Caiseda, Phyllis Muniu, Joshua Atsu, Folashade B. Agusto

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

[Project Insight] Spatio-Temporal Analysis Of Domestic Violence In Puerto Rico, Phyllis Muniu

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling Self-Organizing Networks In Life Sciences And Beyond, Nina H. Fefferman

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Reforming Military Curriculum In The Era Of Big Data: Case Study Of The Albanian Armed Forces Academy, Etleva Smaci Assoc Prof

Journal of Peace, Conflict, and Security Studies

The digital revolution and the emergence of Big Data have profoundly impacted modern military operations. As data becomes a strategic asset, military education must evolve to prepare officers not only for traditional combat but also for data driven decision-making.

This case study explores how the Albanian Armed Forces Academy can reform its military curriculum to meet the demands of the Big Data era. The analysis is based on a review of contemporary literature and a survey conducted among students enrolled in the technology program at the Faculty of Defense and Security.

Findings indicate that students perceive the integration of big …

Itegration Of Emerging Technologies In Cybersecurity Education, Dimitar Bogatinov, Nevena Serafimova, Aleksandar Petrovski, Andrej Iliev, Biljana Karovska

Journal of Peace, Conflict, and Security Studies

Emerging technologies such as Artificial Intelligence (AI), Virtual Reality (VR) are revolutionizing cybersecurity education by offering immersive, interactive learning experiences tailored to the tech-savvy Generation Z and Alpha learners. Traditional educational methods are increasingly inadequate for preparing students to navigate the rapidly evolving cyber threat landscape.

Virtual labs, AI-driven tutors, and cyber training environments create dynamic learning opportunities where students can engage in realistic simulations to develop critical skills in threat detection, response, and mitigation. However, challenges such as high implementation costs, rapid technological advancements, and a shortage of qualified instructors complicate the integration of these technologies.

Despite these challenges, …

‘Reflective Learning’ – Teaching The South African Military Academy Way, Jean Pierre Scherman Dr

Journal of Peace, Conflict, and Security Studies

Professional military education for young officers within the South African National Defence Force (SANDF) has since 1950 been vested within the South African Military Academy (SAMA), Faculty of Military Science, Stellenbosch University. As an all services academy, the SAMA houses student from all four arms of service that constitute the SANDF, namely the South African Army, Navy, Air Force and Medical Health Services. With such a vastly different student body, the five schools within the SAMA correspondingly cover an extremely varied field of study ranging from military law and military management to military psychology all the way to more traditional …

Teachers’ Perceptions Of The National Professional Development Policies And Mathematics Performance In Guyana, Nicola Marcia Johnson

Walden Dissertations and Doctoral Studies

The Ministry of Education in Guyana has focused on improving primary students’ performance in mathematics; however, low student performance persists. The problem addressed in this study was the limited understanding of how Guyanese primary teachers used the national professional development policies (NPDP) to address the low performance of students on the Math National Grade 6 Assessment (MNGSA). Grounded in Bandura’s social cognitive theory and Senge’s systems thinking theory, the purpose of this study was to explore Guyanese primary teachers’ perceptions of their successes and challenges using the NPDP to address the low performance of students on the MNGSA. For this …

Detecting Burned Vegetation Areas By Merging Spectral And Texture Features In A Resnet Deep Learning Architecture, Jiahui Fan, Yunjun Yao, Yajie Li, Xueyi Zhang, Jiquan Chen, Joshua B. Fisher, Xiaotong Zhang, Bo Jiang, Lu Liu, Zijing Xie, Luna Zhang, Fei Qiu

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Timely and accurate detection of burned areas is crucial for assessing fire damage and contributing to ecosystem recovery efforts. In this study, we propose a framework for detecting fire-affected vegetation anomalies on the basis of a ResNet deep learning (DL) algorithm by merging spectral and textural features (ResNet-IST) and the vegetation abnormal spectral texture index (VASTI). To train the ResNet-IST, a vegetation anomaly dataset was constructed on high-resolution 30 m fire-affected remote sensing images selected from the Global Fire Atlas (GFA) to extract the spectral and textural features. We tested the model to detect fire-affected vegetation in ten study areas …

Geographic Patterns Of Educational Achievement: A Methodological Case Study Of Regression Modeling Approaches, Leokadia Lipien

USF Tampa Graduate Theses and Dissertations

This methodological case study introduces a novel approach to investigate the impact of student, teacher, and geographic factors on the academic achievement of virtual school students in Florida. Traditional linear regression models, and even multilevel models, often overlook spatial dependencies, which can lead to biased estimates and incomplete inferences. This research addresses this limitation by comparing a cross-classified multilevel model (CCMM) with a novel cross-classified spatial model (CCSM) that incorporates coefficients from geographically weighted regression (GWR). Utilizing secondary data from a statewide virtual school, including student demographics, teacher characteristics, and standardized test scores, along with U.S. Census Bureau data, the …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Research Experiences For Students At Njit & Nsf Fall 2025, Cristo Leon

STEM for Success Resources

No abstract provided.

Engaging With Ai In A Technical Writing Course: A Collaboration Between A Writing Instructor And A Librarian, Isabel Baca, Joy Urbina

HIIT 2025

After describing our collaboration (a Technical Writing Instructor and a Librarian) on teaching students how to use artificial intelligence (AI) to strengthen their writing, we will engage attendees by having them reflect and practice with AI. For our workshop presentation, attendees will:

• Learn how a librarian and a writing instructor collaborated to teach students to use AI effectively and ethically in their writing.
• Reflect on how they can incorporate AI in their classroom or workplace.
• Learn how a librarian can help them incorporate AI into their courses.
• Practice using AI and developing their prompt engineering skills.

Our workshop presentation will …

The Chinese Research Library In Transition: Yuan Tongli: A Chronicle, Mindi Zhang

Journal of East Asian Libraries

No abstract provided.