Cognitive Science Commons^™

Digital Mindset Efficacy For Human-Ai Career Readiness, Frank Lin, Conrad Shayo

Communications of the IIMA

This article develops digital mindset efficacy as a key capability for human-AI career readiness. It argues that success in AI-shaped workplaces requires not only technical tool use but also the confidence and capacity to learn with, evaluate, collaborate with, and responsibly govern digital and AI systems. Drawing on digital mindset, digital intelligence, AI proficiency, self-efficacy, and life-skills literature, the article proposes a theory-based model linking digital mindset efficacy to AI proficiency and life skills through mastery experience, vicarious learning, social persuasion, and affective regulation. It illustrates the model through a General Education course, Leadership for Global Challenges: Exploring the Digital …

Writing Together, Writing Differently: Collective Authorship As Reflective Practice, Thanh Thao Le, Trut Thuy Pham

The Qualitative Report

This article examines collective authorship as a reflective and ethical research practice within a sustained program of co-authored qualitative, post-qualitative, linguistic, and reflective inquiries into teacher reflection, professional learning, language, silence, and recognition. It offers an oral-history-informed reflective methodological account of a writing collective and asks how collective authorship became a methodological practice through our collaborative writing process. The primary materials were shared drafts, margin comments, revisions, silences, version histories, short reflective notes, and remembered writing encounters. Teacher-reflection texts and related professional writing materials from our broader research program formed the secondary materials around which the writing process unfolded. Analytically, …

Repairing Workplace Trust: A Process-Based Classroom Exercise For Management Education, Luke A. Langlinais Ph.D.

Posters

Trust is essential in every workplace, but conflicts, mistakes, and broken promises are inevitable. This project develops an experiential classroom exercise in which students diagnose workplace trust violations, examine the perspectives and emotions of both parties, and practice selecting and communicating evidence-based reparative actions. The exercise translates organizational behavior research into a practical learning experience that develops not only managerial competence but also the character, empathy, and relational wisdom needed to build healthy organizations and promote human flourishing.

I gratefully acknowledge peer review feedback on this project, and I am accountable for writing of this product without generative AI and …

A Poetic Call For And A Reflection And Commentary On Clarity, Understanding, Hope, Courage, And Compassion, Carroy U. Ferguson

Psychology Faculty Publication Series

Finding a published poem I had written as a teenager, titled “The Heavens Weep.” this article uses that poem as the basis for a commentary that reflects on the state of the world today (2026),  As a commentary, the article uses the poetic and metaphoric words in the poem as a relevant "reality check" for what is still going on today.  In essence, the commentary is about a call for Clarity, Understanding, Hope, Courage, and Compassion, or what I call Archetypal Energies, Higher Vibrational Energies that operate deep within our individual and collective psyches to creatively urge us to "see" …

Governing Algorithmic Attention: Attention Safeguard Models And The Cognitive Attentional Standard As System Level Interventions In Human Computer Interaction, Behavioral Economics, And Artificial Intelligence, Delante Clark

Graduate Scholarship and Creative Works

Algorithmic recommendation systems and interface designs shape attention by combining visually salient cues with uncertain reward timing and low friction interaction. These conditions can sustain anticipatory checking, extend time on task, and reduce natural disengagement points through patterns such as infinite scrolling and autoplay. This paper synthesizes research across neuroscience, human computer interaction, behavioral economics, and artificial intelligence to argue that attention capture is a predictable outcome of incentive driven design rather than an individual failure of self regulation. It advances the Attention Safeguard Models and the Cognitive Attentional Standard as system level interventions that regulate exposure conditions, pacing, and …

The Readiness Reset: Sleep, Stress, And Pain Management For Tactical Performance, Lauren Fried

Tactical & Occupational Performance Conference

Tactical professionals operate in high-demand environments where sleep disruption, chronic stress, and persistent pain are often normalized, but these factors significantly affect readiness, resilience, and long-term performance. This session explores how sleep, stress, and pain interact at the physiological and neurological levels to influence decision-making, recovery, injury risk, and operational effectiveness in first responders and military personnel.

Participants will gain a deeper understanding of how nervous system regulation, circadian rhythms, and pain perception affect both physical and cognitive performance under stress. Drawing on current research and applied human performance principles, this session highlights practical, field-applicable strategies that tactical professionals and …

Determinants Of Corporal Punishment And Severe Physical Punishment In Egypt: A Mixed-Methods Analysis For Child Protection Policy, Marwa Moustafa Nassef

Theses and Dissertations

Corporal punishment (CP) and severe physical punishment (SPP) remain a major public health, child rights, and child protection policy concern. In Egypt, despite legislative reforms, survey-weighted analysis of the 2021 Egypt Family Health Survey (EFHS) 2021 (CAPMAS, 2022) reveals prevalence rates of 60.5% for CP and 27.4% for SPP among children aged 1–14 (author’s calculations using EFHS-2021, n=7623), yet evidence distinguishing the determinants of routine corporal punishment from escalation to severe physical punishment remains limited in low- and middle-income contexts. Guided by Bronfenbrenner’s ecological framework, this mixed-methods study identifies key drivers of CP and its escalation to SPP among Egyptian …

Generative Ai And Student Engagement, Motivation, And Learning: Exploring The Use Of Generative Ai In Higher Education Online Courses, Jeffrey L. Simmons

Dissertations

ABSTRACT

The rapid emergence of Generative AI (GenAI) large language models (LLMs) such as ChatGPT in higher education has left many institutions unprepared to assess their potential benefits and risks. This mixed-methods study examined how ChatGPT and Google’s NotebookLM were integrated into online course development and delivery at a small private nonprofit university in California, and assessed their perceived impact on student engagement, motivation, and learning.

Data were collected from post-course Likert-scale surveys completed by students across three online master’s-level courses and from pre-course prediction surveys by instructors in the two NotebookLM courses. Quantitative analyses included one-sample t-tests against a …

The Legacy Of Lead: Lead Exposure's Harmful Effects And Its Concentration In Poc Communities, Layla Sophronia Barber

Student Theses 2015-Present

This thesis examines the disproportionate burden of lead exposure carried by low income, POC communities. The systemic nature of this problem is a symptom of a longstanding legacy of environmental injustice in the United States. Decades of federal neglect are reflected in the higher statistics of lead exposure and poisoning in predominantly black communities. While it is understood that lead exposure poses a serious threat to physical health and early cognitive development, there is a discouraging lack of urgency to remove the toxin from non-wealthy communities. The material covered by this thesis aims to identify and correct the discriminatory social …

The Brain And Becoming: Integrating Play And Performance-Based Learning In The Community College Classroom, Hannah M. Green

English

Instruction in the community college classroom is in need of a shift, according to neuroscientific, pedagogical, and demographic data. Primarily, students in today’s community college classrooms are instructed in the form of lectures (Nilson 106), but research has shown that game-based learning would be the way to enhance learning experiences for these adult learners. Game-based learning specifically takes form in student learning through games, interactive reading activities such as performance pedagogy, discussions, and small group work. While research shows that play-based learning at the community college level is neurologically beneficial for students, there is a gap in implementing play-based learning …

Leading The Choreography: Preserving Creative Agency In Ai-Supported Problem-Solving, Mikhaila Ackerbauer

Creativity and Change Leadership Graduate Student Master's Projects

As artificial intelligence tools become increasingly present in creative and problem-solving contexts, a critical question emerges: how can users engage with AI in ways that preserve rather than erode their own creative capacity? This project explores that question through research synthesis, practitioner conversations, coursework, international conference presentations, and the development of custom AI chatbots trained in the Creative Problem-Solving process. The central finding is a theoretical triangle comprising three interdependent capacities: autonomy, creative self-efficacy, and critical thinking. Grounded in Rhodes' (1961) Four P's framework, the triangle sits within the Person dimension. Convergent themes across the literature, practitioner conversations, and direct …

Towards Dementia-Inclusive Digital Text-Based Health Information: A Multi-Method Investigation Of Cognitive And Affective Accessibility, Margi Engineer

All Dissertations

This dissertation examines the accessibility, readability, emotional tone, and trustworthiness of digital, text‑based dementia information and investigates how older adults with and without dementia cognitively and affectively engage with such content. It further explores the potential of generative AI to improve dementia information delivery through the development of a domain‑specific retrieval‑augmented generation (RAG) large language model (LLM) chatbot designed to deliver accessible, stigma‑free information. The dissertation comprises four studies using complementary quantitative and qualitative methods. Study I conducts a large‑scale content analysis of 300 medical articles, 35 websites, and 50 blogs, applying readability metrics, LIWC‑based linguistic and sentiment analysis, and …

Writing As A Process Of Inquiry In Autoethnography For Meaning-Making: Reflections And Some Points For Consideration, Niroj Dahal

The Qualitative Report

This article explores writing as a process of inquiry and meaning-making in the autoethnographic tradition, offering reflections on the recursive, emergent, and dialogical/dialectical nature of writing, along with some points for consideration. Drawing on perspectives from qualitative research and narrative inquiry (Riessman, 2008), I argue that autoethnographic writing serves as a method of inquiry and/or discovery, generating ontological, epistemological, and axiological-driven cultural meaning that functions as a site of reflection, interrogation, and re-storying of lived experiences. This recursive, often messy, and reflexive act allows researchers to excavate, analyze, and interpret their lived experiences. Rather than viewing writing as a final-stage …

The Item Response Warehouse: What It Is, How To Use It, And Targets For Potential Improvements, Savira D. Nadela, Hansol Lee, Nishka Jain, Ayaan Gupta, Xingyi Zhang, Benjamin W. Domingue

Chinese/English Journal of Educational Measurement and Evaluation | 教育测量与评估双语期刊

The Item Response Warehouse (IRW) is a repository of harmonized item response datasets designed to support secondary analysis and methodological research in psychological and educational measurement. This paper serves as a practical guide for researchers interested in using the IRW. We describe the structure of IRW datasets and the quantitative and qualitative metadata available for dataset selection, and we demonstrate how researchers can navigate the IRW website to explore and compare available tables. We further show how the IRW R and Python packages can be used to filter datasets programmatically, download response-level data, and generate standardized citations for reproducible research …

Improving Anesthesia Provider Confidence In The Identification, Management, And Treatment Of Postoperative Delirium, Brittany M. Whistle, Charles Dustin Phelps

Scholars Week

Purpose: Postoperative Delirium (POD) is a potentially devastating complication of anesthesia that is poorly understood by clinical staff leading to poor outcomes for surgical patients. This study is meant to determine if a focused knowledge presentation accompanied by visual aids could increase anesthesia providers confidence in identifying, diagnosing, and treating Postoperative Delirium.

Methodology: Utilizing a statistical model to analyze respondents results on a standardized test administered before and after an informational presentation with visual aids on the topic of Postoperative Delirium.

Results: Results indicated a statistically significant difference between pretest and posttest scores, with a p-value of .002, t(11) = …

Beyond Words: Supporting Nonverbal Autistic Preschoolers With Exceptional Cognitive Abilities, Dawn Timms

Knowledge and Creativity Expo

This project explores how caregivers can support autistic preschoolers who are nonverbal yet demonstrate advanced cognitive abilities. Grounded in communication theory and neurodiversity‑affirming practice, it reframes communication as a shared, relational process that extends beyond spoken language. Drawing from interdisciplinary research, I created a strengths‑based caregiver communication toolkit that translates complex theory into clear, practical strategies families can use in everyday routines. This work honors the intelligence of children whose thinking outpaces their speech and equips caregivers with tools that make communication more accessible, responsive, and affirming.

Numerals And Other Means Of Expressing Plurality In Language And Thought: A Developmental Perspective Across Cultures., Giovanni Giuseppe G.G. Nicosia Prof.

Numeracy

Several ancient languages use linguistic structures to differentiate between singular, dual, and plural forms that are used when one, two, or many objects are referenced. (Some languages go further, adding a trial form to differentiate two from three.) In many modern languages, numerals are used to convey precise number. After reviewing a range of ways languages express number (including the interesting case of Pirahã which does not express precise number), the paper concludes with a proposed developmental path for the expression of quantity in languages.

The Illusion Of Causality In Llms: A Developmentally Grounded Analysis Of Semantic Scaffolding And Benchmark–Capability Mismatches, Daisuke Akiba

Publications and Research

Recent benchmarks increasingly report that large language models (LLMs) exhibit human-like causal reasoning abilities, including counterfactual inference and intervention planning. However, many such evaluations rely on domains that are heavily represented in training data and embed strong semantic cues, raising the possibility that apparent causal competence may reflect semantic pattern recombination rather than structure-sensitive causal reasoning. Drawing on human developmental theories of causal induction, this perspective argues that genuine causal understanding requires robustness to novelty and reliance on conditional structure rather than semantic familiarity. To illustrate the testability of this claim, the paper includes a pilot demonstration using synthetic causal …

Diet: Another Piece Of The Crime Puzzle?, Jerrod Brown, Jeremiah Schimp, Leanne Skehan, Amanda Fenrich, Janina Cich

Nutritional Neurocriminology Today

An expanding body of research suggests that diet and nutrition may play an influential yet underrecognized role in problematic and criminal behaviors. This article synthesizes research linking excessive consumption of sugar and ultra-processed foods to adverse neurobehavioral outcomes, impaired impulse control, aggression, mood dysregulation, and sleep problems. Integrating research suggests that metabolic disruption, neuroinflammation, and gut–brain axis dysfunction may influence cognitive and emotional regulation. While criminal behavior is complex and multifactorial, this article emphasizes nutrition as a modifiable factor to inform forensic mental health practice, correctional policy, and rehabilitative strategies.

The Impact Of Flight Instructor Feedback On Subsequent Instructor Evaluations Of Student Performance, Ayhan Rozyyev, Jennifer E. Thropp

Journal of Aviation/Aerospace Education & Research

This study examines the impact of feedback tone and feedback order on flight instructors’ evaluations of student performance in an aviation training context. Using a 2×2 mixed factorial design, 40 certified flight instructors reviewed fictitious training records and rated students based on feedback that varied in tone (positive vs. negative) and order (positive-first vs. negative-first). Results showed that positive feedback significantly influenced evaluations across all measured dimensions, while feedback order had no significant effect, challenging assumptions about primacy and recency effects. These findings highlight the role of positive reinforcement in shaping instructor evaluations and suggest that structured training environments can …

From Fog To Function: An Occupational Therapist's Guide To Evaluating And Treating Cancer-Related Cognitive Impairments, Lauren E. Toner

Entry-Level Occupational Therapy Doctorate - Doctoral Capstone Symposium

Cancer – related cognitive impairment (CRCI) is a common side effect of cancer treatment that interferes with cancer survivors’ occupational performance, independence, and quality of life. Despite its high prevalence, CRCI remains under recognized and inconsistently addressed within oncology care. About 70% of individuals diagnosed with cancer report cognitive changes during or after treatment, yet many do not receive treatment. Occupational therapists are clinically trained to evaluate and treat functional cognition, activities of daily activities, instrumental activities of daily living, and client centered goals, positioning them as key providers in addressing CRCI. However, limited occupational therapy specific resources have hindered …

School-Based Mental And Emotional Support For Urban Students Experiencing Traumatic Loss, Britney Daniel-Harris

West Chester University Graduate Theses, Dissertations, and Final Projects

This study explores the perception of educational staff members on school-based mental and emotional resources for urban students experiencing traumatic loss. With increased levels of research centered on enhancing training protocols to educate teachers on identifying, supporting, and guiding traumatic care through evidence-based resources, there is an opportunity to understand their experiences by hearing their voices through a narrative inquiry qualitative research design. The Substance Abuse and Mental Health Services Administration (SAMHSA) has six principles of a trauma-informed environment, which were utilized to analyze participant stories. Five teachers, one social worker, and one special education leader participated in one-on-one interviews …

Statistical Analysis Of Evidence In Criminal Cases, Giuliana Leon Carrillo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ideally, the evaluation of relevant forensic evidence must corroborate the hypotheses that the prosecution and/or the defense holds regarding the commitment of a crime. Therefore, optimal forensic evidence would be the one that can be found all the time under the same circumstances, and cannot be found otherwise, making the forensic scientist able to evaluate this evidence given the hypotheses provided. Nevertheless, this is hard to find, as ideal evidence being only a concept.

In this project, the probabilistic interpretation of relevant forensic evidence investigated in criminal cases with the aid of Wigmore charts and Bayesian networks was proposed. Using …

Environmental Load In Technology-Rich Classrooms: A Practitioner Reflection On Student Attention, Cognitive Fatigue, And Instructional Design, Christopher Morales

Essays in Education

This practitioner essay examines student disengagement in technology-rich classrooms through the lens of cognitive load and environmental demand. Rather than interpreting all off-task behavior as laziness, avoidance, or lack of motivation, the essay argues that some students may be responding to cumulative overload created by screens, transitions, digital platforms, visual clutter, noise, lighting, and fragmented instructional routines. Drawing from classroom observation and cognitive load theory, the essay introduces environmental load as a practical concept for educators seeking to preserve student attention without lowering academic expectations. The essay offers reflective questions and instructional adjustments that can help teachers and school leaders …

Ctrl + Alt + Inner Speech: A Verbal–Cognitive Scaffold (Vcs) Model Of Pathways To Computational Thinking, Daisuke Akiba

Publications and Research

This theoretical paper introduces the Verbal–Cognitive Scaffold (VCS) Model, a cognitively inclusive framework which proposes the cognitive architectures underlying computational thinking (CT). Moving beyond monolithic theories of cognition (e.g., executive-function and metacognitive control models), the VCS Model posits inner speech (InSp) as the predominant cognitive pathway supporting CT operations in neurotypical populations. Synthesizing interdisciplinary scholarship across cognitive science, computational theory, neurodiversity research, and others, this framework articulates distinct mechanisms through which InSp supports CT. The model specifies four primary pathways linking InSp to CT components: verbal working memory supporting decomposition, symbolic representation facilitating pattern recognition and abstraction, sequential processing enabling …

Understanding Social And Cognitive Influences In Medical Students' Learning Processes For Step 1: An Interpretivist Case Study., Ashley Elaine Triplett

Electronic Theses and Dissertations

This qualitative interpretivist case study explores, at a singular institution, medical students’ perspectives on the social and cognitive factors influencing the learning process as students prepare for the Step 1 examination. While prior research regarding medical students Step 1 preparation have focused primarily on wellness, stress, and career outcomes, limited studies have examined medical students' lived experiences to navigate what occurs during the learning process while they prepare for this critical exam. Utilizing a qualitative case study approach, this dissertation draws on fourteen student interviews, seven that passed Step 1 on their first attempt, and seven that failed. Findings reveal …

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

Journal of Humanities and Social Sciences

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

Supporting Digital Accessibility In Community College Libraries, Jessica Tipton

Sabbatical Projects

Original Sabbatical Proposal: As part of my dissertation on removing accessibility barriers to library services and resources, I will evaluate materials our library creates, purchases, and shares, focusing on WCAG 2.1 AA compliance.  I will earn a Certified Professional in Accessibility Core Competencies (CPACC) certification and create a guide for academic librarians on developing accessible learning materials and evaluating purchased content to ensure equitable access for all students.

Learning In Virtual Environments With Varying Levels Of Sensory Information, Maryam Derayati Far

Psychology Theses and Dissertations

The sensory environment plays a critical role in shaping learners’ attention, engagement, and retention. This thesis investigates how varying levels of sensory input in virtual reality (VR) classrooms influence learning for two age groups—children and young adults—and explores how individual differences in sensory processing moderate these effects. Using immersive VR technology to simulate classroom settings, two experimental studies were conducted. Study One involved 60 children aged 6–15 years, recruited primarily through a university-run summer camp. Study Two included 57 undergraduate students aged 18–36 years, recruited through a research participation pool. In both studies, participants were randomly assigned to either a …

Using Machine Learning Methods To Evaluate Undergraduates’ Executive Function In The Context Of Game-Based Measurement, Ming Chen

Dissertations, Theses, and Capstone Projects

Traditional performance-based measurements have faced criticism due to their potential to induce test fatigue and their limited ecological validity. In contrast, game-based assessments have demonstrated the capacity to engage participants effectively in tests and enhance ecological validity by replicating real-world scenarios. Nevertheless, conventional statistical approaches may prove insufficient in capturing the intricate, non-linear associations between participants' gaming performance and their cognitive capabilities. Leveraging the potential of machine learning (ML) techniques, which can model complex problems, offers a promising avenue for estimating students' performance in video games. This dissertation aims to explore various ML methods for the validation of three game-based …