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2024

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Studies On Soil Biochemical Activities Of Sub-Coryphile Meadow In Qing-Tibet Plateau, Liu Shigui, Long Zhangfu, Zeng Ying, Wu Yong Oct 2024

Studies On Soil Biochemical Activities Of Sub-Coryphile Meadow In Qing-Tibet Plateau, Liu Shigui, Long Zhangfu, Zeng Ying, Wu Yong

IGC Proceedings (1977-2023)

The micro-organism activities and enzymatic activities were studied in the soil of 3 degenerative grasslands (Kobresia pygmaea meadow, Festuca sinensis meadow and Dasiphora fruticosa shrub) near Ruoergai Grassland Station in Sichuan, China, Main results show that soil biochemical activities have been decreasing as the grassland degenerates, especially cellulose decomposition, nitrogen fixation, phenol decomposition, protease, cellulase and sucrase.

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The New Zealand Fertilizer Industry- A Vital Cog In The Pasture Production Cycle, M J. Hickey, T Johnston Oct 2024

The New Zealand Fertilizer Industry- A Vital Cog In The Pasture Production Cycle, M J. Hickey, T Johnston

IGC Proceedings (1977-2023)

The New Zealand fertiliser industry is geared mainly to meet domestic demand, The main fertiliser applied is single superphosphate supplying both sulphur and phosphorus, These elements are required on most New Zealand soils. White clover (Trifolium repens L.) provides most of the nitrogen requirements by symbiotic production. Fertiliser applications are currently 1.S-1.6 million t, of which 9091, is used for livestock production, supporting SB million sheep, 4.6 million beef cattle and 3.S million dairy stock. Fertiliser sales peaked at 2.S million t in 1979 and have fallen as economic conditions deteriorated in the 1980s, coupled with removal of all …

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Behavior Of Goats And Sheep On An Eroded Hill Country Pasture In Winter, L A. Greaves, M E. Wedderburn Oct 2024

Behavior Of Goats And Sheep On An Eroded Hill Country Pasture In Winter, L A. Greaves, M E. Wedderburn

IGC Proceedings (1977-2023)

The behaviour of cashmere-producing does was compared with that of Romney ewes on an area of surface erosion in pasture-dominated hill country during winter. Five ewes and 5 does were monitored. Each group was observed for 4 days, during June-July, from dawn to dusk. A fixed, remote video camera was used to record the animals' behaviour. Tapes were later analysed, noting animal activity, position and time. Bwes spent 13% of their day on the eroded surfaces compared to 2% for the does, Does were observed on the erosion mainly in the afternoon, whereas the ewes were present at all stages …

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Effects Of Lime And Phosphate Applications On Growth And Nitrogen Fixation Of Alfalfa In Acid Soils, Chun Woo-Bock, Ki-Chun Choi, Jung-Chul Kim, Kwang-Hyun Kim, Dong-Hoo Kim Oct 2024

Effects Of Lime And Phosphate Applications On Growth And Nitrogen Fixation Of Alfalfa In Acid Soils, Chun Woo-Bock, Ki-Chun Choi, Jung-Chul Kim, Kwang-Hyun Kim, Dong-Hoo Kim

IGC Proceedings (1977-2023)

The effects of applications of various levels of lime (0, 250, 500 and 1000 kg/10 a) and phosphate (0, 17, and 34 kg/10 a) on growth and on nitrogen fixation of alfalfa (Medicago sativa L.) were studied. Effects of lime and phosphate applications were significantly different on dry mailer (DM) weight of each part and on acetylene reduction activity (ARA) of alfalfa al 9 weeks after sowing (P<0.05). The effect of lime on DM of shoot and root was not significantly different at 14 weeks after sowing (early bloom) but that of phosphate was significantly greater as levels increased (P<0.0 1). The effects of lime and phosphate on ARA were significantly increased (P<0.05), Nine weeks after sowing, application of lime and phosphate decreased total N content of each part of alfalfa compared with no application (P<0,05). At 14 weeks after sowing lime application increased total N content and phosphate decreased total N content, compared with not application (P<0.05).

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Effects Of Subsoiling On A Northern Podzol Soil, M A. Richardson, C R. Edwards Oct 2024

Effects Of Subsoiling On A Northern Podzol Soil, M A. Richardson, C R. Edwards

IGC Proceedings (1977-2023)

Subsoiling is a method of mechanical loosening that can improve water movement through soil. It has been evaluated on a poorly drained northern podzol soil in paddock scale trials over three years. Subsoiling with a tractor drawn implement at 500 mm depth resulted in consistent reductions in surface water contents and lowered water tables. Pasture production was significantly increased in two of the three years and favourable pasture composition changes occurred, Root distribution in winter was also affected, with significant increases in root density between· JOO and 300 mm depth. Recompaction occurred during winter grazing and paddocks required re-subsoiling each …

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Predicting The Leaching Of Sulphur Fertilizer On Yellow-Brown Pumice Soils, B S. Thorrold, K C. Cameron Oct 2024

Predicting The Leaching Of Sulphur Fertilizer On Yellow-Brown Pumice Soils, B S. Thorrold, K C. Cameron

IGC Proceedings (1977-2023)

Leaching of sulphate can have a major influence on pasture yield and fertiliser efficiency on the yellow-brown pumice soils of New Zealand. This study aimed to measure and predict sulphur (S) leaching on these soils. The Rose model (an approximate analytical method based on the convective-dispersive equation) accurately simulated S leaching data from intact cores when a retardation factor was included to allow for sulphate adsorption, The model was then used to predict the leaching of sulphate or elemental S fertilisers applied in spring or autumn. Predicted amounts leached below 260 mm depth after 12 months were 91, 71, 38 …

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Quantification Of Oxidation Of Elemental Sulphur In Pastoral Soils Of New Zealand, A Ghani, A Lee, J H. Watkinson, C Boswell, B S. Thorrold, J D. Moryon, M P. Upsdell Oct 2024

Quantification Of Oxidation Of Elemental Sulphur In Pastoral Soils Of New Zealand, A Ghani, A Lee, J H. Watkinson, C Boswell, B S. Thorrold, J D. Moryon, M P. Upsdell

IGC Proceedings (1977-2023)

A cubic model to describe elemental sulphur (S) oxidation as proposed by Watkinson (1989) was tested under field conditions. Trials were conducted throughout New Zealand to examine the effects of climate, particle size and frequency of application on the rate of S oxidation. Elemental S (75-1S0 mm size) was added to duplicate plots at a rate of 30 kg/ha. Soil samples (0-38 mm) were collected regularly for determining the amounts of added elemental S remaining in the soil. The results showed that the oxidation of elemental S could be adequately described by the cubic model, Por most sites it explained …

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Effectiveness Of Sulphate And Elemental Sulphur Fertilizers Applied To Pastures In Autumn Or Spring, S F. Ledgard, B S. Thorrold, M S. Sprosen, M F. Hawke Oct 2024

Effectiveness Of Sulphate And Elemental Sulphur Fertilizers Applied To Pastures In Autumn Or Spring, S F. Ledgard, B S. Thorrold, M S. Sprosen, M F. Hawke

IGC Proceedings (1977-2023)

Uptake of elemental sulphur {S, 50% 75-150 µm and 50% 150-250 µm diameter) or sulphate (applied as gypsum) by pasture in the field was examined using 3 rates of application in autumn or spring on 2 low S­retentive soils; u free-draining pumice soil and a slow-draining gley soil. About 90% of the el��mental S was oxidised to plant-available sulphate during I year after application. On the pumice soil, the apparent recovery of added S was greatest from autumn-applied elemental S. Leaching appeared to reduce the effectiveness of sulphate fertiliser. On the gley soil, sulphate was more effective in enhancing pasture …

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Lysimeter Study Of The Fate Of Nitrogen In Animal Urine Applied To Flood-Irrigated Pasture, K C. Cameron, P M. Fraser Oct 2024

Lysimeter Study Of The Fate Of Nitrogen In Animal Urine Applied To Flood-Irrigated Pasture, K C. Cameron, P M. Fraser

IGC Proceedings (1977-2023)

The fate of nitrogen (N) in animal urine returns to flood irrigated pasture was studied using large soil monolith lysimeters (800 nun diameter x 1200 mm deep). Over a period of I year, the largest fraction of applied 15N (44%) was recovered by the pasture plants. The total amount (42 kg N/ha) and average peak concentration of N, in the leachate (42 µgN/ml) were less than values reported for many: other agricultural situations (e.g., ploughed pasture). The amount of N lost by denitrification was high (28% of applied 15N) and attributed to the wet soil conditions which prevailed. The amount …

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Estimating Fertilizer Substitution Values From The Dissolution Rates Of Reactive Phosphate Rocks In New Zealand Pastoral Soils, J H. Watkinson, K W. Perrott Oct 2024

Estimating Fertilizer Substitution Values From The Dissolution Rates Of Reactive Phosphate Rocks In New Zealand Pastoral Soils, J H. Watkinson, K W. Perrott

IGC Proceedings (1977-2023)

A relationship is developed between the substitution value of reactive phosphate rock (RPR) relative to triple superphosphate (TSP), both applied annually to pasture, and the dissolution rate of the RPR. The residual effect of dissolved phosphate is included. Residual RPR is calculated from the dissolution rate of the RPR in the soil, while residual phosphate from TSP or dissolved RPR is taken as a constant fraction of the value in the previous year. Calculations including the residual effect of dissolved fertiliser produce smaller substitution values and longer lag times for RPR than when the effect is omitted. The relationship derived …

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Field Evaluation Of Perennial Ryegrass Selected For Aluminum Tolerance On Fertile Soils, D M. Wheeler, D R. Smith, D C. Edmeades Oct 2024

Field Evaluation Of Perennial Ryegrass Selected For Aluminum Tolerance On Fertile Soils, D M. Wheeler, D R. Smith, D C. Edmeades

IGC Proceedings (1977-2023)

The progeny from 23 perennial ryegrass (Lolium perenne L.) plants which were selected for aluminium (Al) tolerance using a low ionic strength nutrient culture technique, were grown in nursery and field trial, to evaluate the agronomic performance in a fertile soil (i.e., in the absence of stress), There were no differences between the progeny from the Al-tolerant selected plan1s in the lines with low Argentine stem weevil (Listronotus bonariensis) damage and commercial cultivars in the nursery trial. There were also no differences in dry matter yield between an Al selection line consisting of seed bulked from 2 …

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Use Of Ld (Linz-Donawitz) Slag As A Liming Material In The Basque Country (Spain): Effect On Chemical Composition Of Pastures, M Pinto, M Rodriguez, C Trueba Oct 2024

Use Of Ld (Linz-Donawitz) Slag As A Liming Material In The Basque Country (Spain): Effect On Chemical Composition Of Pastures, M Pinto, M Rodriguez, C Trueba

IGC Proceedings (1977-2023)

LD (Lintz-Donawit:i:) slag is an iron industry by-product generated at a rate of 10 million I/year in Europe. Its chemical composition (45% Cao and 8% Mg2O) seemed to indicate that a good way of re­utilisation of this waste would be Its use as a corrector of pH for acid soils. The slag effect on chemical composition and yield has been studied in grasslands in the Basque Country during a 2-year field trial. Two different pastures have been considered, Derio (pH 4.75), a resown loliwn pere1me-Trifoli11m repens pasture, and Abadiano (pH 5.45), a natural prairie. Previous studies have shown that slag …

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Effect Of Inorganic Nitrogen And Cow Slurry On Yield And Nitrogen Losses In A Natural Pasture In The Basque Country (Spain), J M. Esta Villo, C Gonzalez-Murua, M Rodriguez Oct 2024

Effect Of Inorganic Nitrogen And Cow Slurry On Yield And Nitrogen Losses In A Natural Pasture In The Basque Country (Spain), J M. Esta Villo, C Gonzalez-Murua, M Rodriguez

IGC Proceedings (1977-2023)

Inappropriate use of fertilisers can cause large losses of nitrogen (N) from the system with different ecological consequences. This study tried to make a first approach to N cycling by comparing N inputs and outputs in an imperfectly drained natural grassland soil receiving different rates of N fertiliser as ammonium nitrate or cow slurry, The acetylene inhibition technique· is used for measuring denitrification, Fertiliser response and decrease in white clover (Trifolium repens) content was greater for the inorganic treatment. The highest rates of denitrification occurred when nitrate and soil water were high. Losses in the inorganic treatment were …

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Statistical Downscaling Of Climate Datasets With Deep Generative Model And Bayesian Inference, Guiye Li, Guofeng Cao Oct 2024

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 …

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The Impact Student Engagement Has On Academic Achievement, Kara Weiland Oct 2024

The Impact Student Engagement Has On Academic Achievement, Kara Weiland

Graduate Teacher Education

This paper reviewed how student engagement impacts academic achievement in a classroom setting. The concept of engagement is complex and includes the student’s focus, interest, and active involvement in their learning. The research examined fifteen peer-reviewed quantitative, qualitative, and mixed-method studies. Three common themes were identified throughout the study's investigation. The first theme uncovered was the importance of the student-teacher relationship and its role in developing student engagement in a classroom setting. The next theme investigated was how the parents’ engagement influenced students' engagement in their learning, thus leading to academic achievement. The third theme found in the research examined …

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Undergraduate Data Literacy In Engineering: A Collaborative Approach, Amber Gruszeczka, Nicole Galloway Oct 2024

Undergraduate Data Literacy In Engineering: A Collaborative Approach, Amber Gruszeczka, Nicole Galloway

Libraries Faculty & Staff Presentations

Data literacy is increasingly crucial to research across disciplines, and librarians are diversifying their skills to encourage students’ self-reliance when interacting with data. Two librarians discuss a collaboration across library departments to design instruction and materials to bring the fundamentals of data literacy to a freshman engineering course.

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Exploring Teachers' Perception And Use Of Whole Brain Teaching: A Hermeneutic Phenomenological Study, Tiffany Amber Jay-Claycomb Oct 2024

Exploring Teachers' Perception And Use Of Whole Brain Teaching: A Hermeneutic Phenomenological Study, Tiffany Amber Jay-Claycomb

Doctoral Dissertations and Projects

The purpose of this hermeneutic phenomenology study was to understand Whole Brain Teaching (WBT) through the experiences and perceptions of teachers who utilize this system in the United States. The theory guiding this study was George Miller’s information processing theory, which identified how information is attained, stored, and retrieved, a foundation of the WBT system. This study attempted to answer the central research question: What are the perceptions of classroom success for teachers who use WBT systems? This qualitative hermeneutic phenomenology research focused on WBT teachers across the United States, contacted through an online platform. Data collection consisted of interviews, …

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Banks Shareholder Net Worth And Blockchain Technology, O'Neal Lawrance Barnett Oct 2024

Banks Shareholder Net Worth And Blockchain Technology, O'Neal Lawrance Barnett

Doctoral Dissertations and Projects

This study examined how blockchain technology affects the banking industry, specifically lending. It provided insights into how blockchain technology changes traditional banking operations and its potential to transform the industry. The research emphasized changes in banking and the effects of technological advances, particularly in digitalization. It outlined the research objectives to provide perspectives on how blockchain technology could lower costs and improve shareholders' equity in the banking sector. The study used a mixed-method design for the analysis. It outlined various strategies for banks to use blockchain technology, highlighting its potential benefits, such as improved transparency, faster settlements, increased trust, and …

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Rootzone Soil Moisture Dynamics Using Terrestrial Water-Energy Coupling, Vinit Sehgal, Binayak P. Mohanty, Rolf H. Reichle Oct 2024

Rootzone Soil Moisture Dynamics Using Terrestrial Water-Energy Coupling, Vinit Sehgal, Binayak P. Mohanty, Rolf H. Reichle

Faculty Publications

A lack of high-density rootzone soil moisture (θRZ) observations limits the estimation of continental-scale, space-time contiguous θRZ dynamics. We derive a proxy of daily θRZ dynamics — active rootzone degree of saturation (SRZ) — by recursive low-pass (LP) filtering of surface soil moisture (θS) within a terrestrial water-energy coupling (WEC) framework. We estimate the LP filter parameters and WEC thresholds for the piecewise-linear coupling between SRZ and evaporative fraction (EF) at remote sensing and field scale over the Contiguous U.S. We use θS from the Soil Moisture Active-Passive (SMAP) satellite and 218 in-situ stations, with EF from the Moderate Resolution …

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A Phenomenological Study Examining Lived Experiences Of Persistent Non-Traditional Students With Learning Disabilities At Community College, Mary Elizabeth Regis Oct 2024

A Phenomenological Study Examining Lived Experiences Of Persistent Non-Traditional Students With Learning Disabilities At Community College, Mary Elizabeth Regis

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to understand the lived experiences of persistent non-traditional community college students with learning disabilities at community colleges in the Midwest United States. For this study, persistent, non-traditional community college students are defined as students who completed their first year of college, were currently enrolled in their second year of college or earned more than 30 credits, and were 25 or older, with commitments in addition to their academics, College students with learning disabilities were defined as students who had a documented learning disability rather than self-identified diagnoses. Ryan and Deci’s self-determination theory …

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A New Ecosystem Model For Arctic Phytoplankton Phenology From Ice-Covered To Open-Water Periods: Implications For Future Sea Ice Retreat Scenarios, Jang Geun Choi, Atsushi Matsuoka, Manfredi Manizza, Dustin Carroll, Stephanie Dutkiewicz, Thomas Lippmann Oct 2024

A New Ecosystem Model For Arctic Phytoplankton Phenology From Ice-Covered To Open-Water Periods: Implications For Future Sea Ice Retreat Scenarios, Jang Geun Choi, Atsushi Matsuoka, Manfredi Manizza, Dustin Carroll, Stephanie Dutkiewicz, Thomas Lippmann

Faculty Research, Scholarly, and Creative Activity

To predict ecosystem change in the Arctic Ocean, understanding Arctic phytoplankton phenology is essential. We develop a marine ecosystem model focusing on phytoplankton dynamics and the competition for multiple resources based on knowledge from in situ data obtained in the Chukchi Sea. The model is designed to include the unique ecological characteristics of the Arctic Ocean. To the best of our knowledge, this is the first model successfully simulating the current paradigm for Arctic phytoplankton phenology, including both under-ice blooms and succession of phytoplankton groups. Sensitivity experiments show that the dominance of diatoms can be sustained by lateral transport of …

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Predictability Limit Of The 2021 Pacific Northwest Heatwave From Deep‐Learning Sensitivity Analysis, P. Trent Vonich, Gregory J. Hakim Oct 2024

Predictability Limit Of The 2021 Pacific Northwest Heatwave From Deep‐Learning Sensitivity Analysis, P. Trent Vonich, Gregory J. Hakim

Faculty Publications

The traditional method for estimating weather forecast sensitivity to initial conditions uses adjoint models, which are limited to short lead times due to linearization around a control forecast. The advent of deep‐learning frameworks enables a new approach using backpropagation and gradient descent to iteratively optimize initial conditions, minimizing forecast errors. We apply this approach to the June 2021 Pacific Northwest heatwave using the GraphCast model, yielding over 90% reduction in 10‐day forecast errors over the Pacific Northwest. Similar improvements are found for Pangu‐Weather model forecasts initialized with the GraphCast‐derived optimal, suggesting that model error is an unimportant part of the …

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Numerically Efficient Coherent Mode Representations For Partially Coherent Beams With Separable Phases, Milo W. Hyde, Carolina Rickenstorff Oct 2024

Numerically Efficient Coherent Mode Representations For Partially Coherent Beams With Separable Phases, Milo W. Hyde, Carolina Rickenstorff

Faculty Publications

We present a method to numerically compute the coherent mode representations (CMRs) for partially coherent beams with separable phases. This special class of random light field has the ability to self-focus and is resistant to turbulence-induced degradation, making it potentially useful in applications such as optical communications. We validate our method by generating (in simulation) two such sources from the literature using their computed CMRs. Lastly, we conclude with a summary of our approach and a discussion of potential applications.

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Teacher Experience With Ai In Middle School Education: A Qualitative Research Study, Aimee Lintner Oct 2024

Teacher Experience With Ai In Middle School Education: A Qualitative Research Study, Aimee Lintner

Doctoral Dissertations and Projects

The purpose of the case study was to understand the use of technology, particularly AI, for public middle school teachers in Michigan. The theory that guided this study is Albert Bandura's social cognitive theory. Self-efficacy is relevant in that it relates to self-achievement and the belief in the desired goal —Bandura's view of social cognition keys to self-efficacy, incorporating self-evaluation and focusing on goal orientation. Consistent with the case study, the focus was on teachers' structure for teaching, the potential to use AI in the classroom, and the increased use of technology. The central question is to determine if AI …

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Tackling Selfish Clients In Federated Learning, Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K. Das Oct 2024

Tackling Selfish Clients In Federated Learning, Andrea Augello, Ashish Gupta, Giuseppe Lo Re, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL) is a distributed machine learning paradigm facilitating participants to collaboratively train a model without revealing their local data. However, when FL is deployed into the wild, some intelligent clients can deliberately deviate from the standard training process to make the global model inclined toward their local model, thereby prioritizing their local data distribution. We refer to this novel category of misbehaving clients as selfish. in this paper, we propose a Robust aggregation strategy for the FL server to mitigate the effect of Selfishness (in short RFL-Self). RFL-Self incorporates an innovative method to recover (or estimate) the true …

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The Need For Accurate [And Respectful] Depictions Of Mental Illness In Fiction, Jacequlyn L. Mills Oct 2024

The Need For Accurate [And Respectful] Depictions Of Mental Illness In Fiction, Jacequlyn L. Mills

Masters Theses

This thesis seeks to address the ongoing misrepresentation of mental illness in popular media, specifically within film, television, and literature. The power of the media is instrumental in public perception, and the ongoing negative misinformation and inaccuracy of mental illness those who are affected by it in media is instrumental in spreading harmful stereotypes and stigma. This affects not only the way that the general public views mental illness but also the way those with mental illness view themselves as well as their desire to seek help. I use these forms of media to showcase both the negative and positive …

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Real-Time Detection Of Sea Turtles Using Uav And Neural Networks On Edge Devices, Jose A. Gonzalez Nunez, Jose G. Gonzalez Nunez, Mustafa I. Akbas, Patrick Currier, Nickolas D. Macchiarella Oct 2024

Real-Time Detection Of Sea Turtles Using Uav And Neural Networks On Edge Devices, Jose A. Gonzalez Nunez, Jose G. Gonzalez Nunez, Mustafa I. Akbas, Patrick Currier, Nickolas D. Macchiarella

Journal of Aviation/Aerospace Education & Research

Sea turtle populations continue to diminish around the globe for various reasons. Therefore, the need for innovative solutions to monitor sea turtles has been increasing. This research paper focuses on an innovative application of artificial intelligence (AI) and machine learning (ML) together with unmanned aerial vehicles (UAV) to improve sea turtle conservation efforts. We outline the design, implementation, and evaluation of a system that deploys UAVs equipped with high-resolution cameras, coupled with a purpose-built neural network to recognize, classify, and monitor sea turtles. This project thus serves as a platform for understanding the wider applicability and limitations of this technology …

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Enhanced Lithological Mapping In Arid Crystalline Regions Using Explainable Ai And Multi-Spectral Remote Sensing Data, Hesham Morgan, Ali Elgendy, Amir Said, Mostafa Hashem, Wenzhao Li, Surendra Maharjan, Hesham El-Askary Oct 2024

Enhanced Lithological Mapping In Arid Crystalline Regions Using Explainable Ai And Multi-Spectral Remote Sensing Data, Hesham Morgan, Ali Elgendy, Amir Said, Mostafa Hashem, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Lithological classification is essential for understanding the spatial distribution of rocks, especially in arid crystalline areas. Artificial intelligence (AI) recent advancements with multi-spectral satellite imagery have been utilized to enhance lithological mapping in these areas. Here we employed different AI models namely, Support Vector Machine (SVM), Random Forest Classification (RFC), Logistic Regression, XGBoost, and K-nearest neighbors (KNN) for lithological mapping. This was followed by the application of explainable AI (XAI) for lithological discrimination (LD) which is still not widely explored. Based on the highest accuracy and F1 score of the previously mentioned models, RFC model outperformed all of them, and …

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Educators' Perceptions For Low Performance On Mathematics State Assessment Among High School Algebra Students With Learning Disabilities In An Alternative Education Program In California: An Explanatory Case Study, D. Sung Choe Oct 2024

Educators' Perceptions For Low Performance On Mathematics State Assessment Among High School Algebra Students With Learning Disabilities In An Alternative Education Program In California: An Explanatory Case Study, D. Sung Choe

Doctoral Dissertations and Projects

This case study addressed educators' perceptions regarding the low performance on state mathematics assessments among high school algebra students with learning disabilities in an alternative education program in a California school district. Vygotsky's theory on the zone of proximal development served as the overarching framework for mathematics content that students with learning disabilities in the alternative education environment should learn at various stages of chronological age. The central research question was: What are educators' perceptions of low performance on mathematics state assessments among high school algebra students with learning disabilities in an alternative education program in California? The methodology used …

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Blended Learning Usage Within High School Gifted And Talented Chemistry Classrooms: A Transcendental Phenomenological Study, Hena Shami Oct 2024

Blended Learning Usage Within High School Gifted And Talented Chemistry Classrooms: A Transcendental Phenomenological Study, Hena Shami

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to understand gifted and talented homeschooled high school level students' experiences with engagement, motivation, and academic achievement in a blended learning chemistry course in the East coast of the United States. Technology can be a wonderful addition to the education world, but often the problem is that GT chemistry students learning through a blended learning model are struggling to maintain effective student engagement, motivation, and academic achievement. The theory that guided this study was Bandura’s social learning theory as it identifies the roles that social factors play on the thought processes involved …

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