Digital Commons Network^™

Enhancing Ai Literacy For Ell Instruction: An Intervention With Pre-Service Teachers, Ali Kushki, Anne M. Garcia, Wayne W. Wright, Victoria L. Lowell

Purdue AI in P-12 Education Conference

This study examines pre-service teachers’(PSTs) familiarity with and use of AI tools, specifically ChatGPT, for teaching and assessing English Language Learners (ELLs). 90 PSTs from a Midwest U.S. university completed pre- and post-intervention surveys. The intervention included a lecture on AI and five 10-minute ChatGPT-3 sessions focused on ELL lesson planning. Results showed significant increases in AI familiarity and usage. Effect sizes, however, were small and medium, respectively, suggesting the need for more targeted interventions to enhance PSTs’ skills.

Understanding The Research And Practical Implications Of Artificial Intelligence In Educational Leadership And Policy: A Systematic Review, Melissa G. Mcintire, Francine M. Denecke, Bryan J. Duarte

Purdue AI in P-12 Education Conference

Considerable attention has been paid to artificial intelligence (AI) in the field of education generally; however, much fewer studies address educational leadership and policy studies (ELPS) specifically. Given the increasingly widespread use of AI, there is a growing need to examine the implications for ELPS research and practice. In this systematic literature review, we examine studies related to AI in ELPS to uncover the implications for research and practice in the field. Our results demonstrate the need for more empirical research on AI in ELPS, particularly as it relates to guiding practice in the field.

Textbook Versus Ai-Generated Word Problems, Laura Bofferding, Yi Zhu, Luke Braun, Sezai Kocabas

Purdue AI in P-12 Education Conference

Our project compared textbook and AI-generated word problems. AI-generated word problems were initially simple and boring but became similar to textbook word problems after a series of detailed prompts to focus on standards, real-life contexts, and larger numbers.

Evaluating Llm-Generated Personalized Text Content For Middle School Science Students, Michael Vaccaro Jr., Mikayla Friday, Arash Zaghi

Purdue AI in P-12 Education Conference

Generative artificial intelligence and large language models (LLMs) have proven to be disruptors in education due to their ability to produce human-like text, placing these models under heavy scrutiny. However, LLMs embody a diverse knowledge base and have been shown to be few-shot learners (Brown et al., 2020) that can quickly adapt their output in response to user-provided context. Together, these facets situate LLMs as powerful tools capable of developing personalized learning materials for K-12 students without the need for expansive training data. As this potential has yet to be evaluated in literature, this study aims to investigate the ability …

Artificial Intelligence In Ell Classrooms: A Qualitative Study Of Pre-Service Teachers’ Perspectives, Anne M. Garcia, Ali Kushki, Wayne W. Wright, Victoria L. Lowell

Purdue AI in P-12 Education Conference

This study examines pre-service teachers’(PSTs) perspectives on the use of Artificial Intelligence (AI) in classrooms with English Language Learners (ELLs). Ninety PSTs from a U.S. university completed written journal reflections on the implications of AI for teaching and assessing ELLs, as well as how teacher education programs could prepare them for the integration of AI into future classrooms. Thematic analysis showed positive and negative perspectives about AI and a call for curricular integration of AI-related content and opportunities to experiment with it. Participants also viewed human connection as central to teaching, confirming recent calls that warn against AI as a …

Revealing Students’ Career Interests From Textual Responses: An Application Of Structural Topic Model, Yuxiao Zhang, Tugce Karatas, Nielsen Pereira, Sarah Bright, Hua-Hua Chang

Purdue AI in P-12 Education Conference

This study utilizes the Structural Topic Model (STM; Roberts et al., 2014) to uncover key career interests among secondary school students from their open-ended survey responses. Textual data from students were analyzed to identify five core career interest themes, and covariate analysis revealed gender differences and associations between giftedness scores and career interests. These findings demonstrate the potential of STM as a robust tool for analyzing large-scale textual data, enabling educators to tailor career guidance programs.

Working With Schools And Communities To Construct An Ai Chatbot, Jeremy Price, Sunandan Chakraborty

Purdue AI in P-12 Education Conference

This study details the development of CATpc (Critical Activity Teacher Planning Companion), an AI chatbot designed to support teachers in creating culturally relevant STEM education. Through a community engaged process with family members and teachers, we identified key requirements. These insights guided the modification of a Llama 3 8B model, incorporating culturally relevant education principles. Participants highlight the potential for AI to support more inclusive and culturally responsive STEM education while reducing teachers’ administrative burden.

Editorial: Sustainable Aquaculture Production For Improved Food Security, Kwasi Adu Obirikorang, Kwamena Quagrainie, Jemimah Etornam Kassah, Mathis Von Ahnen

Department of Agricultural Economics Faculty Publications

No abstract provided.

Engaging Students And Alumni Through Executives In Residence, Bryan Austin, Michael Witt

Libraries Faculty and Staff Presentations

Over the course of 10 years, Residential Academic Initiatives at Purdue University has invited 57 prominent alumni to return to live on campus and engage in meaningful interactions with students as a part of its Executive in Residence program. In this session, the director of the program and a faculty member will share their experiences in launching and growing the program, identifying and recruiting alumni to participate, structuring their visits to maximize their impact on students, and collaborating with learning community faculty to integrate the alumni into teaching that results in purposeful and immersive learning opportunities for students. Specific examples …

Dog-Friendly Workplaces: Understanding What Works And Lessons Learned Through Reflexive Thematic Analysis, Eloise Warrilow, Lisbeth Drury, Joanna Yarker, Rachel Lewis

People and Animals: The International Journal of Research and Practice

The demand for pet-friendly practices has increased since the global pandemic, with some employees reporting a preference for working alongside their companion dogs. Despite increased scholarly interest in pet-friendly practices, gaps exist in understanding their real-world impact. This study examines companion-dog-friendly offices postpandemic, focusing on perceived antecedents and outcomes of pet-friendly practices. It aims to identify what works, what does not, and lessons learned. It draws on expertise from the animal welfare and the industrial, work, and organizational psychology sectors. Employing a qualitative approach, this study utilized semistructured, one-hour interviews with 14 participants who had experienced working in a dog-friendly …

Engineering Technology Capstone: Exploring The Current State, Rustin Webster, Matthew Turner

School of Engineering Technology Faculty Publications

The characteristics that make up the general identity of engineering technology (ET) degree programs and their graduates are well known; however, the explicit characteristics of ET capstone nationally is unknown. In other words, there are multiple gaps in the general ET capstone body of knowledge that need to be filled in order to fully understand and describe the current state. The purpose of this short paper is to provide a synopsis of 1) the current known identity of ET education, 2) existing ET capstone research, and 3) ET capstone knowledge gaps (i.e., future research areas). Internal preliminary findings comparing traditional …

Strategies For Land-Grant Universities To Foster Public Trust, John D. Anderson, Trey Malone, Jay Akridge

Department of Agricultural Economics Faculty Publications

This review article explores the role of land-grant Extension amidst an escalating epistemic crisis, where misinformation and the contestation of knowledge severely impact public trust and policymaking. We delve into the historical mission of land-grant institutions to democratize education and extend knowledge through Cooperative Extension Services, highlighting their unique position to address contemporary challenges of information disorder and declining public confidence in higher education. Land-grant universities can reaffirm their relevance and leadership in disseminating reliable information by reasserting their foundational principles of unbiased, objective scholarship and deep engagement with diverse stakeholders. This reaffirmation comes at a critical time when societal …

Compost Comparison In High Tunnels, Elizabeth Maynard, Marian Rodriguez-Soto, Rebecca Koetz

Midwest Vegetable Trial Reports

Compost is frequently used in market garden production systems, both in the field and in high tunnels. This trial was conducted in northern Indiana to evaluate four composts for use in high tunnel tomato production, with primary emphasis on their value as sources of macronutrients. The results reported here document effects of the composts on tomato yield, leaf tissue nutrient concentrations, and soil nutrients at the end of one growing season.

Forage Crops Interseeded In Pumpkins, Elizabeth Maynard, Rebecca Koetz, Marian Rodriguez-Soto

Midwest Vegetable Trial Reports

Pumpkins are grown on more than one-third of Indiana vegetable farms. There is increasing interest in producing grassfed livestock for local sales and integrating livestock into annual cropping systems. Cattle are known to eat unharvested pumpkins that remain in the field after harvest, and success in undersowing cover crops in pumpkins has been reported in the literature and by producers. This trial in northern Indiana evaluated the performance of different forage cover crops in a market pumpkin system. Results showed there is potential for interplanting forage crops or winter cover crops between pumpkin rows in July or August. When planted …

Leapp Scope And Sequence With Resources, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Instructional Toolkit

The LEaPP Scope and Sequence with Resources is a cross-reference between the Purdue LEaPP Scope and Sequence and other commercially available resources to which educators may have access. As educators look for various ways to provide more explicit instruction in letter-sound knowledge and word study, this document helps eliminate the guess work and directs educators to appropriate resources.

Selected Indiana Government Statistical Agencies And Their Data, Bert Chapman

Libraries Faculty and Staff Presentations

Provides coverage of Indiana state government agencies statistics and selected Tippecanoe County, Indiana local government statistical publications. Presentation describes state agencies such as the Indiana Departments of Agriculture, Education, Health, Local Government Finance, and State Budget Agency. Examples of historical and current data are presented.

Clcweb Special Issue: The Peripheral Jameson

CLCWeb Calls for Papers

CLCWeb Special Issue: The Peripheral Jameson

“Always Totalize,” as Clint Burnham notes, could be one of the mottos of Fredric Jameson’s work: a commitment to drawing—always partial—connections between seemingly disparate fragments of reality into a contradictory unity, one that is never fully present. But how are we to make sense of totalization in the periphery of capitalism? This periphery is where the totality of global capitalism is more readily intuited, to draw on another argument by Jameson. Thus, one could argue that peripheral contexts are where the act of totalization more directly confronts totality itself.

This issue seeks to interrogate …

Determining User Implementation Needs For Pharmacist-Prescribed Contraception Using Concept Mapping: A Participatory, Multiple Stakeholder Approach, Jenny L. Newlon, Jennifer A. Campi, Sally Rafie, Ashley H. Meredith

Purdue University Libraries Open Access Publishing Fund

Background

As of October 2024, 29 states and the District of Columbia allow community pharmacists to prescribe hormonal contraceptives. Pharmacists have reported many challenges and barriers to service implementation.

Methods

Concept mapping was used to gather insights from diverse stakeholders to identify resources to facilitate implementation of pharmacist-prescribed contraceptive services. Stakeholders included end-users (pharmacy managers, staff pharmacists) and decision-makers (pharmacy owners/executives). Participants' ideas for resources were collected via multi-stakeholder focus groups. Participants then rated each idea (i.e. statement) in terms of importance and feasibility (1 = not at all important/feasible, 4 = extremely important/feasible) and sorted ideas into groups based …

Journal Of The Arts And Special Education: Volume 3, Issue 1

Journal of the Arts and Special Education

Volume 3, Issue 1

Leapp Reference List, Chenell Loudermill, Tamar Greenwell

References

No abstract provided.

Mucho Morpho By Leapp Deck 1, Chenell Loudermill, Tamar Greenwell

Purdue-LEaPP Instructional Toolkit

Mucho Morpho by LEaPP is a fun, interactive activity that can be used to improve morphological knowledge of commonly used affixes (prefixes and suffixes). This activity addresses several aspects of language and literacy to include vocabulary (semantics), syntax, morphology, decoding, and written expression. The Mucho Morpho deck includes option for multilingual learners and extension activities to make the activity more challenging. This deck contains 160 cards for use within a group setting. Affixes included are as follows: mis-, un-, pre-, -less, -ful, -able/-ible.

Tunable Blended Collagen I/Ii And Collagen I/Iii Hydrogels As Tissue Mimics, Paulina M. Babiak, Carly M. Battistoni, Leonard Cahya, Rithika Athreya, Jason Minnich Ii, Alyssa Panitch, Julie C. Liu

School of Chemical Engineering Faculty Publications

Collagen (Col) is commonly used as a natural biomaterial for biomedical applications. Although Col I is the most prevalent col type employed, many collagen types work together in vivo to confer function and biological activity. Thus, blending collagen types can better recapitulate many native environments. This work investigates how hydrogel properties can be tuned through blending collagen types (col I/II and col I/III) and by varying polymerization temperatures. Col I/II results in poorly developed fibril networks, which softened the gels, especially at lower polymerization temperatures. Conversely, col I/III hydrogels exhibit well-connected fibril networks with localized areas of fine fibrils and …

Transition Of Buoyancy-Driven Flow From An Axisymmetric To Non-Axisymmetric Vortex Inside An Evaporating Sessile Droplet, Jialing Yu, Zhenhai Pan, Justin A. Weibel

CTRC Research Publications

The internal flow within an evaporating sessile droplet has intriguing fluid mechanics important to various microfluidics applications. In the present study, a phenomenon is observed through numerical methods wherein the buoyancy-driven flow structure inside a droplet on a non-wetting substrate transitions from an axisymmetric toroidal vortex flow to a non-axisymmetric single vortex flow with increase in the substrate temperature. As the axisymmetric nature of the droplet flow field and evaporation characteristics are broken, the internal velocity accelerates significantly. The transition, which is attributed to a flow instability inside the droplet, is more prone to occur as the droplet volume or …

Explainable Artificial Intelligence To Interpret Spatially-Explicit Impacts Of Future Climate Change On Species Distribution, Lei Song, Amy E. Frazier, Peter Kedron, Diogo S. A. Araujo, Diyang Cui, Brian J. Enquist, Brian Maitner, Cory Merow, Gabriel M. Moulatlet, Efthymios I. Nikolopoulos, Patrick R. Roehrdanz

I-GUIDE Forum

Biodiversity is essential for maintaining ecosystem balance and functionality, providing vital services such as climate regulation. The rapid decline in biodiversity, driven by habitat loss, habitat fragmentation, and climate change, poses significant threats to ecosystems. Climate change, in particular, is fundamentally altering habitats, leading to shifts in species distributions. However, existing research often lacks decomposed contribution analyses, particularly spatially, for a changing individual environmental attributes when modeling species distribution as an aggregate result of all factors and their interactions. Such analyses are crucial for identifying climate refugia and prioritizing conservation efforts. Taking endangered mammal species as an example, this study …

Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao

I-GUIDE Forum

Facing the challenges of global climate change, precise and high spatial resolution climate data are crucial and in pressing need for scientific research and analysis. However, most existing datasets are only available with very coarse spatial resolution and demand large-scale resolution enhancement. Meanwhile, climate datasets own much more intricate textures than natural images. Statistical downscaling or super-resolution (SR) with the deep-learning-based generative model might be a promising approach to address these challenges. It is worth noting that a learned Bayesian reconstruction with generative models (L-BRGM) method was proposed recently. The proposed Bayesian deep learning framework employs a single pre-trained generative …

Identifying Invasive Species Sightings From Geoai-Validated Social Media Posts, Nathan Fox, Derek Van Berkel

I-GUIDE Forum

The spread of invasive species requires scalable monitoring techniques to help guide management and conservation strategies. Here, we explore the potential of GeoAI for the rapid validation of invasive species sightings through social media data. We utilized the Flickr API to retrieve 23,000 images from posts that contained the names of 72 invasive species across various taxonomic categories within the contiguous USA. Then using BioCLIP, a computer vision model capable of identifying over 450,000 species, we assessed whether these posts genuinely contained the species that the user tagged. Results varied, with some species like the European Starling showing high match …

Effect Of In-Row Spacing On Weed Suppression And Yield Of ‘Covington’ And ‘Monaco’ Sweetpotato, Emmanuel G. Cooper, Stephen L. Meyers, Katherine Jennings, Ashley Adair, Kevin D. Gibson, William G. Johnson

Department of Horticulture & Landscape Architecture Faculty Publications

Organic sweetpotato growers have limited effective weed management options, and most rely on in-season between-row cultivation and hand weeding, which are time consuming, are costly, and deteriorate soil quality. Studies were conducted at the Samuel G. Meigs Horticulture Research Farm, Lafayette, IN, and at the Southwest Purdue Agricultural Center, Vincennes, IN, in 2022 and 2023 to determine the effects of in-row plant spacing and cultivar selection on weed suppression and organic sweetpotato yield. The experiment was a split-split plot design, with in-row spacings of 20, 30, and 40 cm as the main plot factor, weeding frequency (critical weed-free period and …

Typology Of Atmospheric Conditions Leading To Dam Overtopping In The Eastern Us, Hodo I. Orok, Deanna Hence

I-GUIDE Forum

Statistical characterization of reanalysis datasets during over 300 hydrologic dam incidents between 2003 and 2022 will create a detailed typology of weather systems associated with dam overtopping in the eastern United States. Dam overtopping poses significant risks to infrastructure and public safety, necessitating a comprehensive understanding of the multi-scale atmospheric conditions that lead to such events. To better account for the natural flow of water to the affected dams, we will adopt a watershed-focused Principal Component Analysis (PCA) on regional atmospheric data collected from ERA5 alongside USGS streamflow and Stage IV precipitation observations to enhance understanding of high-risk weather conditions. …

Understanding Complex Socio-Environmental Systems With Spatial Agent-Based Models, Rebecca C. Vandewalle, Alexander Michels, Furqan Baig, Shaowen Wang

I-GUIDE Forum

Our increasingly connected world is faced with complex socio-environmental problems (e.g., biodiversity loss, climate change, and food insecurity). Tackling these problems requires cross- disciplinary approaches that examine the problems based on synergistic spatial and system thinking. Spatial Agent-Based Models (SABMs) represent a powerful approach to understanding complex socio-environmental systems. However, research on SABMs and associated complex problem solving face grand challenges that must be overcome to effectively unleash the power of SABMs enabled by cyber-based geographic information science and systems (cyberGIS). This paper describes four such grand challenges —reproducibility, scalability, communication, and accessibility. Resolving these challenges will enable new spatial …

Communicating Uncertainty And Cataloging Bias In Spatial Data Science Education, Peter Kedron, Jiahua Chen

I-GUIDE Forum

Uncertainty is an unavoidable part of any spatial analysis, which makes quantifying and communicating uncertainty a requirement of any spatial data science study. However, current curricula leave students understanding the importance of uncertainty and concerned about potential bias, but without an actionable framework to improve their workflows or inferences. We propose a framework rooted in Bloom’s Taxonomy for introducing these concepts to spatial data science students.