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Photolysis Of Emerging Agricultural Applications Under Environmental Conditions, Kun-Pu Ho Aug 2025

Photolysis Of Emerging Agricultural Applications Under Environmental Conditions, Kun-Pu Ho

McKelvey School of Engineering Graduate Student Theses & Dissertations

Novel agricultural applications are rapidly emerging to protect crops from weeds or pests in the US and worldwide. Isoxaflutole is a proherbicide considered agriculturally significant because it controls weeds that have developed resistance to other commonly used herbicides. In addition, RNA interference (RNAi) technology is regarded as a next-generation biopesticide because the technology has less toxicity to humans and more specificity to pests than traditional pesticides, which pose risks to the environment and the health of humans and livestock. However, we cannot disregard the possible risks of the emerging proherbicides and biopesticides to humans or non-target organisms. Therefore, the study …

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Combining Code Analysis And Pedagogical Guidance: Automated Tools For Teaching Debugging In Introductory Programming, Yana Malysheva Aug 2025

Combining Code Analysis And Pedagogical Guidance: Automated Tools For Teaching Debugging In Introductory Programming, Yana Malysheva

McKelvey School of Engineering Graduate Student Theses & Dissertations

The ability to debug code is critical to being a programmer and represents a distinct skill from writing code. Yet debugging is rarely explicitly taught in introductory programming and Computer Science courses. Instead, novices typically develop their own debugging habits and strategies when they encounter bugs in their code, which are often less effective than those of expert programmers. When students do seek help with debugging, they traditionally turn to office hours conducted by Teaching Assistants (TAs) or, increasingly, to Large Language Models such as ChatGPT. However, both sources of assistance have limitations. TAs are often students themselves with limited …

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Code Stories For Software Evolution, John Joseph Allen Aug 2025

Code Stories For Software Evolution, John Joseph Allen

McKelvey School of Engineering Graduate Student Theses & Dissertations

Programmers spend more than half of their time comprehending code, and in particular struggle to answer questions about the rationale, intent, and history behind software artifacts. Through this dissertation, I explore how history-aware tools can help programmers understand unfamiliar software artifacts. First, I investigated how providing additional context -- historical code changes grouped by the original developer's stated subgoals and the web foraging activity of the original developer impacted the process of code reuse. I found that programmers utilized these resources to 1) make better analogies between their reuse scenario and what code was already written, and 2) anchor into …

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Multi-Layer Support For Component-Based Cyber-Physical Systems Applications, Oren Bell Aug 2025

Multi-Layer Support For Component-Based Cyber-Physical Systems Applications, Oren Bell

McKelvey School of Engineering Graduate Student Theses & Dissertations

Component-based design is a paradigm meant to aid in development of software applications by modularizing different functionalities of a system. This building-block approach is used extensively in cyber–physical and robotic systems. Common and established solutions to specific problems, such as perception nodes, state estimators, and motion planners, can be developed, verified, and reused as off-the-shelf modules. These modules may be integrated atop today’s heterogeneous hardware platforms, where an application can be distributed across GPUs, FPGAs, and CPU cores. When heterogeneous computational devices share the workload of a collection of components, the very act of integration may inject timing uncertainty. For …

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Applying Machine Learning To Developmental Psychopathology, Robert Jesus Jirsaraie Aug 2025

Applying Machine Learning To Developmental Psychopathology, Robert Jesus Jirsaraie

McKelvey School of Engineering Graduate Student Theses & Dissertations

Psychopathology arises from a combination of many contributing factors, which can include genetic predispositions, family history, environmental stressors, developmental processes, and psychosocial dynamics. Each of these contributing factors has been researched for decades, and their influences on mental health have been well documented. In recent years, there has been a growing enthusiasm for integrating these risk factors using machine learning. However, there are a wide array of data-driven frameworks that have been implemented, and the relative strengthens of each approach is not clear. Through of series of four research studies, we examined each data-driven approach in terms of its potential …

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A Mechanistic Understanding Of Transcutaneous Auricular Vagus Nerve Stimulation, Kara Michelle Donovan Aug 2025

A Mechanistic Understanding Of Transcutaneous Auricular Vagus Nerve Stimulation, Kara Michelle Donovan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Transcutaneous auricular vagus nerve stimulation (taVNS) offers great potential as a noninvasive neuromodulation technique with expanding therapeutic potential across a range of neurological and systemic indications. Yet despite strong clinical interest, the mechanistic foundations of taVNS remain incompletely understood. In contrast to the invasive form of vagus nerve stimulation (VNS), taVNS has seen more limited parametric characterization, with many studies relying on parameters adopted from invasive protocols without systematic validation at the noninvasive level. This dissertation focuses on developing a more comprehensive understanding of the underlying mechanisms of taVNS. It extends existing literature by leveraging intracranial electrophysiology to directly quantify …

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Harnessing Metabolic Modeling And Artificial Intelligence For Next-Generation Bioproduction, Zhengyang Xiao Aug 2025

Harnessing Metabolic Modeling And Artificial Intelligence For Next-Generation Bioproduction, Zhengyang Xiao

McKelvey School of Engineering Graduate Student Theses & Dissertations

Bioproduction in microbial hosts faces two main challenges: (1) unique metabolism of each species is difficult to generalize, and it requires precise quantification before metabolic engineering. (2) Past experiment data are fragmented in different studies, making it difficult to combine these non-standardized data for future experiment design. These challenges lead to high costs and risks in scaling up biomanufacturing processes, where R&D requires substantial budgets and iterative experiments are expensive. This thesis addresses both challenges through two research pillars. Part I uses 13C metabolic flux analysis (MFA) and genome-scale model (GSM) to investigate metabolic limitations in bioproduction hosts. In Escherichia …

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Moment Ensemble Approaches For Estimation And Robust Quantum Control, Andre Luiz Paes De Lima Aug 2025

Moment Ensemble Approaches For Estimation And Robust Quantum Control, Andre Luiz Paes De Lima

McKelvey School of Engineering Graduate Student Theses & Dissertations

Large-scale population dynamics governed by ensemble systems present significant challenges due to their inherently high dimensionality. Recent advances have demonstrated the effectiveness of moment-based methods (particularly those employing polynomial bases such as Legendre and Chebyshev polynomials) when integrated with optimization techniques for control design in ensemble systems. However, these methods have not been extensively explored for enhancing robustness against systematic noise, nor have they been widely applied to complex quantum systems involving multi-parameter configurations and entanglement phenomena. In this work, we extend the application of moment methods in ensemble systems through two projects. Initially by developing a Kalman filter analogue, …

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Towards Graph Foundation Models: Few-Shot And Zero-Shot Learning On Graphs, Hao Liu Aug 2025

Towards Graph Foundation Models: Few-Shot And Zero-Shot Learning On Graphs, Hao Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Graphs naturally model complex relationships and interactions across various domains, including social networks, biological systems, and recommender platforms. Graph Neural Networks (GNNs) have emerged as powerful tools for learning effective graph representations through iterative message passing, significantly improving performance in tasks such as node classification, link prediction, and graph classification. However, the success of GNNs largely depends on abundant labeled data, posing challenges in practical scenarios where labeled data is scarce or unavailable. This dissertation addresses these challenges by exploring few-shot and zero-shot learning within the graph domain. We first propose COLA, a self-supervised few-shot node classification method that exploits …

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Spatial Patterns In Electronic Health Record Data-Based Predictive Modeling: A Case Study Of Prenatal Care And Preeclampsia, Abigail Lewis Aug 2025

Spatial Patterns In Electronic Health Record Data-Based Predictive Modeling: A Case Study Of Prenatal Care And Preeclampsia, Abigail Lewis

McKelvey School of Engineering Graduate Student Theses & Dissertations

The electronic health record (EHR) documents interactions between patients and healthcare systems and is widely used for secondary research on health outcomes due to broad adoption. While EHR data support efficient clinical informatics research, they are subject to biases stemming from healthcare seeking behavior, health system attributes, and individual or environmental characteristics. Place-based characteristics, in particular, strongly influence when and how patients access care and shape health outcomes. These biases in EHR data can affect predictive modeling pipelines which leverage them, contributing to variation in model performance across groups. In healthcare, where predictive models are increasingly used to guide care, …

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Developing Aerosol Representation In Atmospheric Modeling, Inderjeet Singh Aug 2025

Developing Aerosol Representation In Atmospheric Modeling, Inderjeet Singh

McKelvey School of Engineering Graduate Student Theses & Dissertations

Ambient aerosols affect climate and air quality in the Earth system. Global chemical transport models used to study these impacts require an accurate representation of aerosols in terms of shape, composition, and vertical distribution. For example, despite having a complex morphology, mineral dust is often treated as spherical particles in these models. This can lead to errors in optical properties calculations, trace gas retrievals, and heterogeneous chemistry. Similarly, inaccurate representation of the vertical distribution of smoke particles in these models can lead to uncertainties in air quality assessments. Aerosol composition also plays a critical role in determining radiative forcing and …

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Computational Imaging Under Incomplete Information, Weijie Gan Aug 2025

Computational Imaging Under Incomplete Information, Weijie Gan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Computational imaging is a pivotal field that synergizes physical measurement principles with advanced algorithms to generate visual information. An important task in this field is solving imaging inverse problems that aim to reconstruct high-quality images from observed measurements. Model-based deep learning (MBDL) has emerged as a particularly powerful tool for tackling these inverse problems by integrating machine learning (ML)-driven priors with knowledge of the imaging physics. This dissertation focuses on the pervasive challenge of informational incompleteness in computational imaging, arising from various practical and physical limitations, that hinder the widespread adoption of ML-driven computational imaging algorithms in practice. This includes: …

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Intravital Optical Imaging Of Peripheral Nerve Injury Response, Igor Luzhansky Aug 2025

Intravital Optical Imaging Of Peripheral Nerve Injury Response, Igor Luzhansky

McKelvey School of Engineering Graduate Student Theses & Dissertations

Peripheral nerve injuries in animal models require imaging approaches that can reveal the dynamic, multiscale process of regeneration over time without disrupting repair mechanisms. Traditional methods lack the ability to visualize cellular behavior and matrix remodeling continuously. We present an imaging technique based on an implantable nerve window and fluorescent labeling, enabling high-resolution, longitudinal cellular-scale observation of peripheral nerve regeneration in living mice. We first evaluated near-infrared fluorophore-conjugated fibrin as a transient marker for early regenerative tissue within nerve guidance conduits. Imaging performed upon surgical re-exposure of the nerve revealed the incorporation of fibrin into early-stage regenerative cables, with gradual …

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Large-Scale Modeling And Inference Of Non-Stationary Brain Dynamics, Addison Schwamb Aug 2025

Large-Scale Modeling And Inference Of Non-Stationary Brain Dynamics, Addison Schwamb

McKelvey School of Engineering Graduate Student Theses & Dissertations

Neural modeling has long been a tool for understanding the brain's function, in both healthy subjects and those experiencing neural pathologies. These models have captured structures in the brain ranging in spatial scale from the subcellular level to the whole-brain level, and processes ranging in temporal scale from milliseconds to multiple hours. Currently, however, there are very few dynamical systems models of whole-brain activity, and the modeling methodologies that do exist rely on neural data modalities which are impractical for use in clinical settings. At the same time, a wealth of data is being generated by patients undergoing clinical monitoring. …

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Spectral Mixture Analyses Of Hematite-Rich And Clay-Bearing Terrains In Meridiani And Oxia Planum, Mars, Thomas Jake Condus Aug 2025

Spectral Mixture Analyses Of Hematite-Rich And Clay-Bearing Terrains In Meridiani And Oxia Planum, Mars, Thomas Jake Condus

Arts & Sciences Graduate Student Theses and Dissertations

Minerals have characteristic absorption features in the visible and near-infrared wavelength range, which can be detected in remotely sensed observations using methods such as spectral parameter maps or modeled via spectral mixtures. My dissertation uses both methods on orbital and ground-based single-scattering albedo data to assess the surface compositions of Meridiani Planum and Oxia Planum, regions of Mars that are rich in secondary minerals. A probabilistic approach to spectral unmixing was adopted to account for the nonuniqueness of model solutions, with endmember abundance and grain size maps being produced for Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) orbital images. For …

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Development, Numerical Simulation, And Optimization Of Quiet Supersonic Transport Aircraft And Extension Of The Wray-Agarwal Algebraic Transition Model To Include Compressibility And Crossflow Effects, Dean Ryan-Simmons Aug 2025

Development, Numerical Simulation, And Optimization Of Quiet Supersonic Transport Aircraft And Extension Of The Wray-Agarwal Algebraic Transition Model To Include Compressibility And Crossflow Effects, Dean Ryan-Simmons

McKelvey School of Engineering Graduate Student Theses & Dissertations

In the first part of this thesis, the goal of the research is to implement and extend multi fidelity methods for conceptual design and optimization of a commercial supersonic transport (SST). Most modern commercial aircraft operate at a cruise condition between Mach 0.7 and 0.9, as this is the optimal trade-off of flight efficiency, operational cost, and adherence of noise regulations for overland travel. Advancements in aviation propulsion fuel efficiency and design materials suggests a primary restraint on commercial supersonic transport is noise regulations. At speeds above Mach 1, the shock waves generated by the airframe are strong enough to …

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The Psychology Of Sharing Experiences, Hyebin Kim Aug 2025

The Psychology Of Sharing Experiences, Hyebin Kim

Olin Business School Graduate Student Theses and Dissertations

From dinners with family to parties with friends, consumers frequently spend time with and share experiences with other people. Sharing consumption with other people can uniquely shape people’s decisions and experiences, often in ways that differ from when individuals are on their own. In my research, I examine what kinds of experiences consumers like to share with other people, and how being the one who organizes gatherings for other people influences consumers’ decisions and experiences during shared consumption. In Chapter One, “When Sharing Experiences with Others, People Prefer Novel Experiences,” I examine how the social context of an experience, in …

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2025-08-18 Revisal Of Pac-22 - Draft, Morehead State University. Faculty Senate. Aug 2025

2025-08-18 Revisal Of Pac-22 - Draft, Morehead State University. Faculty Senate.

Faculty Senate Records

Draft of the revisal for PAc-22 submitted to the Faculty Senate on August 18, 2025.

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Cardiac And Coronary Hemodynamics: Using An Integrated Ex-Vivo Beating Heart Experiments And Computational Modeling, Chenghan Cai Aug 2025

Cardiac And Coronary Hemodynamics: Using An Integrated Ex-Vivo Beating Heart Experiments And Computational Modeling, Chenghan Cai

Master's Theses (2009 -)

Cardiovascular function arises from the complex interactions among the heart, the arterial system, and the coronary circulation. Questions such as how variations in left ventricular (LV) loading conditions affect LV and aortic functions through LV–aorta interactions; and how coronary artery diseases, such as stenosis, impact cardiac function and myocardial perfusion including left and right coronary perfusion via LV–coronary interactions, remain understudied. To answer these questions, this thesis focuses on two core objectives: (1) investigate the effects of LV loading conditions on LV and aortic functions through LV–aortic interactions by performing ex-vivo beating rat heart experiments, and (2) elucidate the impact …

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Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities: A Multidimensional Sustainability Assessment, Janna Brown, Robert Handler, Eric Seagren, Jennifer Becker Aug 2025

Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities: A Multidimensional Sustainability Assessment, Janna Brown, Robert Handler, Eric Seagren, Jennifer Becker

Michigan Tech Publications

Producing Class A biosolids is a beneficial way to reuse wastewater treatment solids, but most conventional processes are energy-intensive and expensive. There is growing interest in the use of low-cost, low-tech (LCLT) Class A biosolids treatment processes, especially at small water resource recovery facilities (WRRFs). This study used a holistic sustainability assessment to examine the environmental, economic, and social sustainability of conventional and LCLT processes at small WRRFs. The technologies studied were Direct Heat Drying, Composting, Lagoon Storage, Air Drying, and Temperature-Phased Anaerobic Digestion (TPAD). Environmental impacts were determined by conducting life-cycle assessments for all technologies, which is described in …

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The Impact Of Mental Health Courts On Public Attitudes Held Toward Justice-Involved Individuals With Mental Illness, Maeve Porter Aug 2025

The Impact Of Mental Health Courts On Public Attitudes Held Toward Justice-Involved Individuals With Mental Illness, Maeve Porter

Student Theses

Prior research has established that mental health court programs play an important role in reducing recidivism and mental health symptoms of defendants. However, there is a lack of understanding of the stigma that justice-involved individuals may encounter upon release from mental health court into the community, and the extent to which the general public is aware of mental health court programs. The present study sought to address public perceptions regarding mental health courts, their efficacy, and their participants based on the awareness and availability of these specialized courts in two similar states (New York and New Jersey), one in which …

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Multimodal Emotion Detection And Analysis From Conversational Data, Abhinay Jatoth, Faranak Abri, Tien Nguyen Aug 2025

Multimodal Emotion Detection And Analysis From Conversational Data, Abhinay Jatoth, Faranak Abri, Tien Nguyen

Faculty Research, Scholarly, and Creative Activity

—Emotion recognition in conversations has become increasingly relevant due to its potential applications across various fields such as customer service, social media, and mental health. In this work, we explore multimodal emotion detection using both textual and audio data. Our models leverage deep learning architectures, including Transformer-based models such as Bidirectional Encoder Representations from Transformers (BERT), Robustly optimized BERT approach (RoBERTa), Audio Spectrogram Transformer (AST), Wav2Vec2), Bidirectional Long Short-Term Memory (BiL-STM), and four fusion strategies that combine features from multiple modalities. We evaluate our approaches using two widely used emotion datasets, IEMOCAP and EMOV. Experimental results show that fusion models …

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A Potential New Sea Surface Temperature Proxy Based On Isomeric Highly Branched Isoprenoid Lipid Biomarkers: Ez25, Simon T. Belt, Lukas Smik, Katrine Husum, Jochen Knies Aug 2025

A Potential New Sea Surface Temperature Proxy Based On Isomeric Highly Branched Isoprenoid Lipid Biomarkers: Ez25, Simon T. Belt, Lukas Smik, Katrine Husum, Jochen Knies

School of Geography, Earth and Environmental Sciences

Two tri-unsaturated and isomeric (E/Z) highly branched isoprenoid (HBI) diatom lipid biomarkers were quantified in 228 water column samples collected from the English Channel, West Svalbard (Arctic), the Scotia Sea (Southern Ocean) and East Antarctica. We found that the relative amounts of the two HBIs correlate well with water temperatures taken at the time of sampling. Based on these findings and some other HBI data reported previously, we suggest that the proportion of the HBI E-isomer (termed EZ25) may serve as a new proxy for palaeo sea surface temperatures, including in the polar regions. Next steps will involve determination of …

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The Implications Of Insecure Use Of Fonts Against Pdf Documents And Web Pages, Junjie Xiong, Mingkui Wei, Xiao Han, Zhuo Lu, Yao Liu Aug 2025

The Implications Of Insecure Use Of Fonts Against Pdf Documents And Web Pages, Junjie Xiong, Mingkui Wei, Xiao Han, Zhuo Lu, Yao Liu

Computer Science Faculty Research & Creative Works

This paper identifies the importance of the safe use of fonts in web and document security. We find multiple attack surfaces that can be exploited by an adversary using malicious fonts. We conduct a comprehensive evaluation of Portable Document Format (PDF) documents collected from the real world to investigate how an attacker can bypass PDF signatures. We further evaluate the potential security threats that an attacker can bring to web-based emails. Our study shows that various security issues may be caused by the inappropriate use of fonts, which are nevertheless overlooked in the past years. As such, guidelines promoting the …

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Assessing University Students’ Self-Reported Vocabulary Learning Strategy Use, Yirgalem Girma Aug 2025

Assessing University Students’ Self-Reported Vocabulary Learning Strategy Use, Yirgalem Girma

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Learning vocabulary is certainly a vital component of language learning and without this integral component of language communication becomes hardly meaningful. Thus, students are expected to have rich vocabulary power that enables them to communicate successfully via listening, speaking, reading, and writing; it assists students in expressing a range of meanings in various communicative situations for various purposes. This demands students to learn vocabulary using diverse vocabulary learning strategies that assist them in learning (internalizing, storing, recalling, and using) words properly. However, several students barely manage vocabulary learning tasks and/or use appropriate and diverse vocabulary in English classes. Consequently, this …

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Transition And Instability Characteristics Of The Separated Shear Layer Formed At Low Reynolds Number Over Three-Dimensional Irregular Rough Surface, Ganesh Kt Mr Aug 2025

Transition And Instability Characteristics Of The Separated Shear Layer Formed At Low Reynolds Number Over Three-Dimensional Irregular Rough Surface, Ganesh Kt Mr

Theses and Dissertations

The present experimental work investigates the effects of irregularly roughened surfaces and imposed streamwise pressure gradients on the topological, transitional, and instability characteristics of the laminar separated shear layer (SSL). Experiments are conducted in the low-speed wind tunnel for 𝑅𝑒𝑡=30000, based on the thickness of the airfoil model, t, and freestream turbulence intensity, fst = 0.8%. The airfoil model used in this study features a semicircular leading edge followed by a constant-thickness flat portion and a pitchable trailing-edge flap. Test conditions include two rough surfaces: sandblasted (SB) and sand-deposited (SD), and flap deflections: 𝛽=−30° and 𝛽=+30°, imposing adverse (APG) and …

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Buddhism For Thinkers, Chang-Seong Hong, Sun Kyeong Yu Aug 2025

Buddhism For Thinkers, Chang-Seong Hong, Sun Kyeong Yu

MSU Authors Collection

This book is an introduction to Buddhist philosophy. It uses the methods of analytic philosophy to approach the major topics of Buddhism.

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An Exploration Of Factors That Influence A Clinical Supervisor's Decision To Address The Personal Development And Dispositions Of Supervisees, Kirsten K. Hagen Aug 2025

An Exploration Of Factors That Influence A Clinical Supervisor's Decision To Address The Personal Development And Dispositions Of Supervisees, Kirsten K. Hagen

Psychology

Research suggests that addressing a supervisee’s personal factors in clinical supervision is critical to developing their therapeutic capacities (Aponte, 1994; Krug and Schneider, 2016; Southern, 2007; Zorga et al., 2001). However, little is known about the factors contributing to clinical supervisors’ decisions to address supervisees’ personal development and dispositions in clinical supervision, despite their importance in supervisees’ professional development. The purpose of this grounded theory study was to discern the nuanced narratives of clinical supervisors and construct a theory of factors related to their decisions regarding whether to address or not address the personal development and dispositions of supervisees in …

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Ligand Substitution Versus Dna-Binding Affinity : ǂB Syntheses, Structures, And In Vitro Anticancer Activities Of Pt(Ch₃)₂I₂{2,2'-Bipy-N,N'-(Ch₃)₂} (N,N' = 4,4'; 5,5'; 6,6'), Shadrach Stitz Aug 2025

Ligand Substitution Versus Dna-Binding Affinity : ǂB Syntheses, Structures, And In Vitro Anticancer Activities Of Pt(Ch₃)₂I₂{2,2'-Bipy-N,N'-(Ch₃)₂} (N,N' = 4,4'; 5,5'; 6,6'), Shadrach Stitz

Chemistry and Biochemistry

In chemotherapeutic treatment for leukemia, the drug cisplatin is highly effective. However, there is an immense need for cisplatin analogues that are more clinically viable. Cancer cell assay studies have shown that the platinum(IV) complex Pt(CH₃)₂I₂{2,2'-bipyridine} exhibits significant anticancer activity against the human breast cancer cell line ZR-75-1, with an EC50 (effective concentration 50%) concentration of 6.1 μM— substantially lower than that of cisplatin (16.4 μM). To explore the unknown structure-activity relationship between DNA binding and anti-cancer activity, three isomers — Pt(CH₃)₂I₂{2,2'-bipy-n,n'-(CH₃)₂} where n,n’ = 4,4’; 5,5’; 6,6’— were synthesized. The intent was to demonstrate decreased cytotoxicity as complex-DNA steric …

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The Transformational Learning By Web-Conferencing Circuit Board: A Conceptual Model Outlining The Conditions That Facilitate Transformation In Synchronous Spaces, Rachel L. Reilly Aug 2025

The Transformational Learning By Web-Conferencing Circuit Board: A Conceptual Model Outlining The Conditions That Facilitate Transformation In Synchronous Spaces, Rachel L. Reilly

Communication

As synchronous technologies and high-speed internet have become more accessible, opportunities for learning in web-conferencing settings have also increased. Despite the ubiquity of learning experiences taking place over web-conferencing, there is a lack of research on what makes for effective adult learning in synchronous settings from learners’ perspectives. Moreover, there are few studies examining how transformational learning—learning that changes an adult’s mindset, beliefs, or perceptions—occurs in web-conferencing settings. This qualitative study explores the conditions through which transformational learning occurs in web-conferencing settings. It includes the perspectives of adult learners (all at least eighteen years old) who have participated in a …

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