Digital Commons Network^™

Association Of Insulin Resistance With Radiographic Lung Abnormalities And Incident Lung Disease: The Framingham Offspring Study, Sarath Raju, Paula Sierra, Vickram Tejwani, Kristen A Staggers, Meredith Mccormack, Dennis T Villareal, Ivan O Rosas, Nicola A Hanania, Tianshi David Wu

Faculty, Staff and Students Publications

Objective: Insulin resistance (IR) may be a risk factor for lung disease, but objective evidence is limited. We sought to define the relationship of longitudinal IR with radiographic imaging outcomes and examiner-identified incident lung disease in the Framingham Offspring Study.

Research design and methods: Participants without baseline lung disease underwent repeated measurements of fasting insulin and glucose levels over an average period of 13.6 years, from which time-weighted average HOMA-IR was calculated. Each participant then underwent a cardiac gated whole-lung computed tomography scan, which was analyzed for the presence of emphysema, interstitial lung abnormalities (ILAs), and quantitative airway features. Incident …

Bumble Bee Population Genetics In Iowa And The Impacts Of Repeated Emergency Management On The Conservation Reserve Program, Michael Mellett

Dissertations and Theses @ UNI

No abstract provided.

Id-Gba: Subgraph Extension With Information Distance Guilt By Association In Complex Networks, Predrag Obradovic, Vladimir Kovacevic, Aleksandar Milosavljevic, Varduhi Petrosyan

Faculty, Staff and Students Publications

Here, we introduce the ID-GBA (Information Distance Guilt By Association) method to expand highly connected sets of nodes by deploying a novel algorithm for subgraph extension based on the guilt-by-association principle and information distance. In this study, ID-GBA was utilized to expand disease clusters, and identify novel disease genes. We first validate its ability to expand related disease sets from disease/disease graphs built using Open Targets' gene association scores. We then analyze disease/control gene expression networks and show that ID-GBA recaptures known disease genes in nine disease/control graphs. Compared to existing methods such as Random Walk with Restarts and Personalized …

Folate Receptor Β Performs An Immune Checkpoint Function In Activated Macrophages, Fenghua Zhang, Md Yusuf Al-Amin, Sagar Utturkar, Rina Jiang, Gregory Cresswell, Rami Alfar, Ian Ophaug-Johansen, Gabriel Bachman, Madduri Srinivasarao, Richard Finnell, Amaya Puig-Kröger, Timothy Ratliff, Philip S Low

Faculty, Staff and Students Publications

Monocytes and macrophages are sentinels of the immune system that distinguish themselves from other cells by expressing the beta isoform of the folate receptor (FRβ). Because FRβ does not bind folate until the monocyte/macrophage is exposed to immunosuppressive cytokines, the question naturally arose whether FRβ might also perform an immune-related function. To examine this matter, we compared the properties of wild type (WT) and FRβ knockout mice. We observe that FRβ knockout (KO) mice display autoimmune symptoms that can include alopecia, enlarged spleens, and dermatitis, despite having normal cellular folate levels. We further demonstrate that syngeneic tumors (TRAMP C2, MC38) …

Application Of Additive Manufacturing In The Development Of Polymeric Bioresorbable Cardiovascular Stents: A Review, Farhana Yasmin, Ana Vafadar, Majid Tolouei-Rad

Research outputs 2022 to 2026

Polymeric vascular bioresorbable stents (BRSs) have been widely used for the treatment of coronary artery diseases. While additive manufacturing (AM) is changing the landscape of the healthcare sector by enabling the realization of patient-specific stents with highly complex structures. There are, however, challenges associated with the use of polymeric BRS, particularly in-stent restenosis (ISR), related to its poor mechanical properties. Therefore, the aim of this review is to provide an overview of recent advancements in the development of polymeric BRSs designed to meet both mechanical and biological requirements. First, biopolymers as well as shape memory polymers (SMPs) that are suitable …

Becoming Singular: Musical Identity Construction And Maintenance Through The Lens Of Identity Process Theory, Melissa Forbes, Jason Goopy, Amanda E. Krause

Research outputs 2022 to 2026

This study uses identity process theory to understand the social–psychological processes that motivate individuals to construct an identity in which music, singing, and singing teaching feature prominently. We conducted reflexive thematic analysis of semi-structured interviews with 10 Australian singing teachers (with an average age 60) to understand how they enacted identity principles that motivate identity construction and maintenance. Findings were captured in two themes: (1) ‘It has just been music’: Living a musical life is my destiny; (2) ‘I know my value’: Achieving goals in music and teaching is motivating. Participants’ consistent musical engagement across the lifespan satisfied the identity …

Methylene Blue Adsorption On Y-Zeolite As A Nano-Porous Adsorbent: Equilibrium And Kinetic Studies, Mehdi Narimani, Maryam Gonbadi, Mohammad Mahdi Zerafat

Research outputs 2022 to 2026

The elimination of dye pollutants from industrial wastewaters, notably from sectors such as textiles and dyeing, remains a pivotal aspect of pollution mitigation endeavours. This research introduces an innovative strategy employing Y zeolite as a nano-porous adsorbent for eliminating methylene blue (MB), a prevalent cationic dye. Y zeolite was synthesised via hydrothermal technique. Through methodical experimentation, the impact of temperature, contact time, concentration, pH and adsorbent quantity on removal efficiency were examined with optimal conditions achieving 93.83% MB removal. The synthesised Y zeolite underwent characterisation utilising diverse techniques, including SEM, TEM, XRD, BET, and FTIR, which elucidated the structural and …

Kinetic Model Of Glycolysis And Glutaminolysis Interplay Developed In Matlab Simbiology, Zohreh Mirveis, Hugh J. Byrne, Nitin Patil

Datasets

This dataset contains a kinetic model developed in MATLAB SimBiology to simulate the metabolic dynamics of glycolysis and glutaminolysis and their interconnection. The model was used in the study ‘Experimental and computational investigation of the kinetic evolution of the glutaminolysis pathway and its interplay with the glycolysis pathway’ (Mirveis et al., 2024). The dataset includes the original SimBiology project file together with the experimental data used for model training. These resources enable reproduction of the simulations reported in the publication and provide a reusable framework for further computational exploration of metabolic pathway kinetics.

Bioinspired Gradient Porous Hip Implant Design To Prevent Stress Shielding Using Stress Mapping And Bone Remodeling Theory, Babak Ziaie, Xavier Velay, Waqas Saleem

Research Outputs: 2025-Present

Total Hip Arthroplasty (THA) is a widely performed surgical procedure, with increasing frequency worldwide. Despite its high success rate, many patients require revision surgeries due to complications such as aseptic loosening, primarily resulting from stress shielding, cortical hypertrophy, and micromotion. These issues often stem from a mechanical mismatch between the bone and the solid dense implant, particularly a mismatch in stiffness. A potential solution lies in the use of porous or lattice structures in implant design, which offer lower stiffness and improved biocompatibility by facilitating bone ingrowth, cell seeding, and vascularization. Among these designs, Triply Periodic Minimal Surfaces (TPMS), especially …

Modeling Functional Connectivity With Learning And Memory In A Mouse Model Of Alzheimer’S Disease, Lindsay Fadel, Elizabeth Hipskind, Steen E Pedersen, Jonathan Romero, Caitlyn Ortiz, Eric Shin, Md Abul Hassan Samee, Robia G Pautler

Faculty, Staff and Students Publications

Introduction: Functional connectivity (FC) is a metric of how different brain regions interact with each other. Although there have been some studies correlating learning and memory with FC, there have not yet been, to date, studies that use machine learning (ML) to explain how FC changes can be used to explain behavior not only in healthy mice, but also in mouse models of Alzheimer's Disease (AD). Here, we investigated changes in FC and their relationship to learning and memory in a mouse model of AD across disease progression.

Methods: We assessed the APP/PS1 mouse model of AD and wild-type controls …

Discovering Subtypes With Imaging Signatures In The Motoric Cognitive Risk Syndrome Consortium Using Weakly Supervised Clustering, Bhargav Teja Nallapu, Kellen K Petersen, Et Al.

2020-Current year OA Pubs

INTRODUCTION: Understanding the heterogeneity of brain structure in individuals with the Motoric Cognitive Risk Syndrome (MCR) may improve the current risk assessments of dementia.

METHODS: We used data from six cohorts from the

RESULTS: Three subgroups (Groups A, B, and C) were identified through MRI-based clustering with significant differences in regional brain volumes, gait speeds, and performance on Trail Making (Part-B) and Free and Cued Selective Reminding Tests.

DISCUSSION: Based on structural MRI, our results reflect heterogeneity in the population with moderate and slow gait, including those with MCR. Such a data-driven approach could help pave new pathways toward dementia …

System Readiness And The Patient Care Pathway For Alzheimer's Disease Diagnosis And Treatment, B Joy Snider, Et Al.

2020-Current year OA Pubs

Promising therapeutic interventions that target the underlying pathophysiology are changing the landscape of Alzheimer's disease (AD) research. The AD care pathway must be transformed to meet the challenge of bringing these new therapies to the increasing number of people living with AD within the existing healthcare framework. Challenges include identifying patients who may benefit from treatment interventions early in the course of the disease, ensuring that diagnostic tools are accessible and accurate, and developing capabilities to monitor the effectiveness of interventions over time. These challenges must be addressed at all levels, from primary care settings to tertiary treatment centers; this …

Psychosocial Behavioral Phenotypes Of Racially/Ethnically Minoritized Older Adults Enrolled In Habs-Hd Differ On Neuroimaging Measures Of Brain Age Gap, Hippocampal Volume, And Cortical Thickness, Alexandra L Clark, Makenna B Mcgill, Alexandra J Weigand, Julie K Wisch, Kalen Petersen, Beau Ances, Meredith N Braskie, Sid O'Bryant, Kelsey R Thomas, Habs‐Hd Study Team

2020-Current year OA Pubs

INTRODUCTION: This study examined whether previously identified psychosocial behavioral phenotypes differed on structural neuroimaging markers.

METHODS: Latent profile analysis (LPA) employed in a sample of 1820 community-dwelling older adults (1118 Hispanic and 702 Black) replicated previous Low Resource/Low Distress, High Resource/Low Distress, and Low Resource/High Distress phenotype classifications. Analyses of covariance (ANCOVAs) adjusting for relevant factors examined phenotype differences on neuroimaging outcomes of predicted brain age gap (BAG) (DeepBrainNet

RESULTS: The Low Resource/Low Distress and Low Resource/High Distress phenotypes had significantly higher predicted BAGs relative to the High Resource/Low Distress phenotype, and the Low Resource/High Distress group displayed significantly lower …

Proceedings Of The 12th Annual Deep Brain Stimulation Think Tank: Cutting Edge Technology Meets Novel Applications, Alfonso Enrique Martinez-Nunez, Nico U F Dosenbach, Evan M Gordon, Et Al.

2020-Current year OA Pubs

The Deep Brain Stimulation (DBS) Think Tank XII was held on August 21st to 23rd. This year we showcased groundbreaking advancements in neuromodulation technology, focusing heavily on the novel uses of existing technology as well as next-generation technology. Our keynote speaker shared the vision of using neuro artificial intelligence to predict depression using brain electrophysiology. Innovative applications are currently being explored in stroke, disorders of consciousness, and sleep, while established treatments for movement disorders like Parkinson's disease are being refined with adaptive stimulation. Neuromodulation is solidifying its role in treating psychiatric disorders such as depression and obsessive-compulsive disorder, particularly for …

The Inward Gaze: White Faculty's Self-Perceptions Of Racial Identity, Privilege, And Its Impact On Pedagogy, David E. Houle

Antioch University Dissertations & Theses

This dissertation examines the evolving self-perceptions of racial consciousness among White faculty in higher education and its impact on pedagogical practices for fostering diversity, equity, and inclusion. This study is guided by Mezirow’s transformative learning theory and Rowe et al.’s White racial consciousness model and uses interpretative phenomenological analysis (IPA) to explore participants’ narratives of White racial identity, disorientating dilemmas, critical self-reflection, and pedagogical transformation. The research highlights key moments of self-reflection and transformation that influence inclusive teaching strategies, such as prioritizing marginalized voices in course content and rethinking classroom dynamics to respond to systemic inequities. The findings reveal how …

The Role Of Floodplain Complexity In Wood Turtle Habitat Use, Laura S. Deming

Antioch University Dissertations & Theses

Wood turtles occupy cold, low-gradient riverine habitat throughout the northeastern United State and southeastern Canada. Stream alterations, such as dams, channel straightening, and floodplain development have diminished the natural hydrologic and sedimentation regimes that result in complex channel and floodplain geomorphology. Studies throughout the species’ range have quantified many aspects of their habitat, but none have quantified components of geomorphology of wood turtle sites. The goal of this study was to explore the role of stream channel and floodplain geomorphology in wood turtle habitat use, with specific objectives to (1) quantify components of stream channel and floodplain geomorphic complexity, (2) …

Bisexuality: An Individual's Direction Is Society's Detour, Madisyn J. Roberts

Antioch University Dissertations & Theses

This dissertation explores the lived experiences of self-identified bisexual adults through a qualitative, narrative inquiry approach that centers how folx construct their story of sexuality and individual meaning making capacities based on held intersections of identity. Using Queer theory and intersectionality as a theoretical framework, this study investigates and advocates that sexual orientation is not validated or invalidated by its fluidity but aims to understand how bisexuality is an integrative part of an individual’s identity. This dissertation explores how society’s tendency to view sexuality as divided between heterosexuality and homosexuality erases the complexity and spectrum of sexual orientations that exist …

Geriatric Care In Corrections: An Exploratory Study Of Cross-Disciplinary Perspectives On The Needs Of An Aging Prison Population, Cynthia A. Scheiderer

Antioch University Dissertations & Theses

The incarcerated population in the United States is aging. The proportion of adults 55 or older in prison rose from 3% in 1993 to 16% at year-end 2022 (Carson & Sabol, 2016; Carson & Kluckow, 2024). Researchers have consistently found evidence that the prevalence of disabilities and functional impairment is higher among older adults who are incarcerated than among those in the community. As the incarcerated population ages, corrections professionals responsible for providing safety, housing, and health care must respond to the needs of the population. In this qualitative study, 21 corrections professionals from the disciplines of custody, classification, medical, …

My Body My Choice: A Qualitative Study Of Volitional Female Sterilization In The U. S. Latina And Hispanic Female Population, Heather Morris Tuip

Antioch University Dissertations & Theses

This qualitative study, utilizing an interpretative phenomenological analysis methodology, elucidates the experience of Latina and Hispanic women living in the United States who have volitionally undergone sterilization or have sought the procedure out for birth control. Understanding the rich, contextual, lived experience of Latina and Hispanic women through an intersectional framework highlights how cultural influences and contemporary policies on reproductive rights informed their personal choice to undergo a female sterilization procedure. The participants of this study shared how they made meaning of their experiences. Within a homogenous sampling of study participants who share ethnicities and genders, six group experiential themes …

21st-Century Stewardship: Infusing Environmental Education With Global Citizenship, Ava Y. Goodale

Antioch University Dissertations & Theses

In today's interconnected world, where socioecological issues transcend political borders, integrating environmental stewardship education with global citizenship education offers valuable opportunities for student empowerment. The goal of this multi-article dissertation was to conceptualize and operationalize 21st-century stewardship in educational settings. Twenty-first-century stewardship is a pedagogical approach that recognizes the limitations of environmental stewardship education as it is traditionally taught and is defined in Chapter II as an updated stewardship model that is infused with global citizenship’s multiscalar perspectives, global compacts, and layered identities to achieve its maximum impact in our interconnected world. This goal was first accomplished in Chapter II …

Embracing The Both/And: Learning From The Lived Experiences Of White Facilitators Of Racial Equity Workshops, Alicia M. Wargo

Antioch University Dissertations & Theses

This study focuses on the lived experiences of seasoned White facilitators of racial equity workshops to understand how they navigate the complexity of occupying a White racial identity while working to challenge the belief systems of white supremacy ingrained in themselves and others. Through applying Critical Race Theory as a framework to grounded theory methodology, this study examined whiteness as a sensitizing concept in micro, meso, and macro levels of analysis, situating this dissertation in the theoretical exploration of the multifaceted and pervasive nature of whiteness. Much of the research on racial equity work examines White participants in nascent stages …

Exploring Subjective Cognitive Decline And Ageism: At-Risk Older Adults' Lived Experience, Randal L. Williams

Antioch University Dissertations & Theses

Subjective Cognitive Decline (SCD), the self-perceived decline in cognitive abilities, is recognized as a preclinical marker for neurocognitive disorders (Jessen et al., 2014). Understanding the contextual factors informing SCD experience remains a research priority in this domain. At-risk older adults have heritable markers associated with dementia. Chronic exposure to embedded ageism burdens allostatic load (AL) and exacerbates epigenetic risk for cognitive decline (Levy, 2022; McEwen, 2020; Miller et al., 2021). The current qualitative study explored how ageism shapes the lived experience of SCD among at-risk older adults. Semi-structured interviews were conducted with 12 participants, all doctoral level clinical practitioners, aged …

Patterns Of Inpatient Antibiotic Utilization By Race And Ethnicity At Us Children’S Hospitals, Bethany A. Wattles, Jeffrey I. Campbell, Theresa Kluthe, Yana B. Feygin, Kahir Jawad, Michelle D. Stevenson, Deborah Winders Davis, Jennifer Porter, V. Faye Jones, Matt Hall, Michael J. Smith

Biostatistics Faculty Publications

Background and Objectives: Racial and ethnic variations in antibiotic utilization are well-reported in outpatient settings but little is known about inpatient settings. Our objective was to describe national inpatient antibiotic utilization among children by race and ethnicity. Methods: This study included hospital visit data from the Pediatric Health Information System between 01/01/2022 and 12/31/2022 for patients <20 years. Primary outcomes were the percentage of hospitalization encounters that received an antibiotic and antibiotic days of therapy (DOT) per 1000 patient days. Mixed-effect regression models were used to determine the association of race-ethnicity with outcomes, adjusting for covariates. Results: There were 846,530 hospitalizations. 45.2% of children were Non-Hispanic (NH) White, 27.1% were Hispanic, 19.2% were NH Black, 4.5% were NH Other, 3.5% were NH Asian, 0.3% were NH Native Hawaiian/Other Pacific Islander (NHPI) and 0.2% were NH American Indian. Adjusting for covariates, NH Black children had lower odds of receiving antibiotics compared to NH White children (aOR 0.96, 95%CI 0.94–0.97), while NH NHPI had higher odds of receiving antibiotics (aOR 1.16, 95%CI 1.05–1.29). Children who were Hispanic, NH Asian, NH American Indian, and children who were NH Other received antibiotic DOT compared to NH White children, while NH NHPI children received more antibiotic DOT. Conclusions: Antibiotic utilization in children’s hospitals differs by race and ethnicity. Hospitals should assess policies and practices that may contribute to disparities in treatment; antibiotic stewardship programs may play an important role in promoting inpatient pharmacoequity. Additional research is needed to examine individual diagnoses, clinical outcomes, and drivers of variation.

Leveraging Machine Learning Models To Explore Disparities In Prostate Cancer Diagnosis, Treatment, And Survival, Reuben Adatorwovor, Rasaq Oladapo, Parisa Ghasemi, Gaurav Kumar, Daniel J. Morton, Motolani E. Ogunsanya, Olufunmilola Abraham

Biostatistics Faculty Publications

Introduction: Prostate cancer (CaP) is the second most common cancer in men globally and a leading cause of cancer-related mortality, particularly among older men. In the United States, disparities in incidence, stage at diagnosis, and outcomes persist across racial, socioeconomic, and geographic lines. Men in medically underserved regions like Appalachia experience higher mortality due to limited access to timely screening and treatment. Given the complex interplay of clinical, behavioral, and sociodemographic factors, machine learning (ML) offers promise in identifying survival predictors that traditional models may overlook. This study applies ML models to assess the impact of age at diagnosis, treatment …

Clinical Criteria For Limbic-Predominant Age-Related Tdp-43 Encephalopathy, David A. Wolk, Peter T. Nelson, Liana Apostolova, Konstantinos Arfanakis, Patricia A. Boyle, Cynthia M. Carlsson, Nick Corriveau-Lecavalier, Penny Dacks, Bradford C. Dickerson, Kimiko Domoto-Reilly, Brittany N. Dugger, Rebecca Edelmayer, David W. Fardo, Michel J. Grothe, Timothy J. Hohman, David J. Irwin, Gregory A. Jicha, David T. Jones, Claudia H. Kawas, Edward B. Lee, Karen Lincoln, Gladys E. Maestre, Elizabeth C. Mormino, Chiadi U. Onyike, Ronald C. Petersen, Gil D. Rabinovici, Rosa Rademakers, Rema Raman

Biostatistics Faculty Publications

Limbic predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC) is highly prevalent in late life and a common co-pathology with Alzheimer's disease neuropathologic change (ADNC). LATE-NC is a slowly progressive, amnestic clinical syndrome. Alternatively, when present with ADNC, LATE-NC is associated with a more rapid course. With the emergence of anti-amyloid therapeutics, discrimination of LATE-NC from ADNC is critical and will lead to greater clinical recognition of amnestic patients without ADNC. Furthermore, co-pathology with LATE-NC may influence outcomes of these therapeutics. Thus there is a need to identify patients during life with likely LATE-NC. We propose criteria for clinical diagnosis of …

A Myostatin Inhibitory Antibody Combined With Insulin, Partially Rescues The Musculoskeletal Phenotype Of Female Insulin-Deficient Diabetic Mice, R. Clay Bunn, Reuben Adatorwovor, Philip D. Ray, Alexander R. Keeble, Christopher S. Fry, Sasidhar Uppuganti, Jeffry S. Nyman, John L. Fowlkes, Evangelia Kalaitzoglou

Biostatistics Faculty Publications

Introduction: Type 1 diabetes is associated with deficits in both skeletal muscle and bone. Inhibition of myostatin, a negative regulator of muscle mass, was explored as a druggable target to improve the musculoskeletal phenotype associated with insulin-deficient diabetes in female mice. Methods: We investigated whether administration of an inhibitory myostatin antibody (MyoAb) in streptozotocin-induced diabetes in female mice is protective for skeletal muscle and bone. DBA/2J female mice were injected with low-dose streptozotocin or with citrate buffer (vehicle). Subsequently, mice were implanted with insulin-containing or vehicle pellets, with groups being randomized to myostatin or control antibody for 8 weeks. At …

Diagnosing Statistical Education Needs Of Health Science Learners, Amy S. Nowacki, Ann M. Brearley, Robert A. Oster, Emily Slade, Katrina L. Devick, Matthew J. Hayat, Sally W. Thurston

Biostatistics Faculty Publications

Many types of health science learners, including clinical and translational scientists, students, researchers, and clinicians, seek to increase their knowledge of biostatistics. These learners are heterogeneous in their field, career stage and career focus. Based on the collective experience of an expert panel with over 115 years teaching statistics to health science learners, we propose a framework for considering the needs of health science learners motivated by their career goals. This framework defines four types of health science learners seeking statistical training: (a) consumers, (b) “milestone makers”, (c) biomedical researchers with statistical support, and (d) biomedical researchers without statistical support. …

The Inevitable Rise And Liberation Of Bipoc Community At Cal Poly Humboldt: A Historical Storytelling Timeline, Fernando Paz

Humboldt Journal of Social Relations

"The Historical Storytelling Timeline (HST) emerged as a central initiative in Cal Poly Humboldt's efforts to support and inform the Institutional Anti-Racism Call to Action Plan (IARCAP). Guided by the Office of Diversity, Equity, and Inclusion (ODEI), the HST not only chronicles the university's history of activism but also digitizes these efforts to ensure accessibility for future generations. This timeline is a commitment to honoring past struggles and successes..."

Finite Element Simulation Of Interstitial–Lymphatic Fluid Flow And Nanodrug Transport In A Solid Tumor: An Intratumoral Injection Approach, Gobinda Debnath, Buddakkagari Vasu, Rama Subba Reddy Gorla

Faculty Publications

Objective: This study presents a mathematical model and finite element simulations to investigate interstitial fluid flow and nanodrug transport in a solid tumor, incorporating transvascular exchange, convection–diffusion–reaction dynamics, and intratumoral injection mechanisms. Impact Statement: Optimizing nanodrug distribution remains a critical challenge in cancer therapy. The proposed model advances nanomedicine by enhancing the mechanistic understanding of nanodrug transport in a solid tumor. Introduction: Cancer, a global threat, often manifests as solid tumors driven by uncontrolled cell growth. The heterogeneous microenvironment, lymphatic drainage, nano-bio interactions, and elevated interstitial fluid pressure (IFP) hinder effective nanodrug delivery. Nanoparticle (NP)-based drug delivery systems offer a …

The Impacts Of A Problem-Based Learning Unit On Computational Thinking Skills In A 7th Grade Lego Robotics Classroom, Madison Beeler

Graduate Research Papers

The primary focus of this study was to determine what impact problem-based learning (PBL) has on developing computational thinking skills, self-efficacy, and earth science understanding in a middle school robotics classroom. Twenty-eight students took part in a 36-day instructional unit based on the 5E Learning Cycle. Students explored Martian geology, analyzing rock data collected by the Perseverance rover mission to make connections between landforms, integrating Earth science with computational thinking tasks. Pre and post-test data assessed growth of computational thinking and self-efficacy. Statistical analysis showed significant growth in student self-efficacy, while gains in computational thinking were not statistically significant. Students …