Digital Commons Network^™

Impact Of Artificial Intelligence On Medical Education And Cognitive Skill Development At Medical College Imam Mohammad Ibn Saud Islamic University, Anas Bassam Barnawi, Abdulrahman Abdullah Almudawi, Abdullah Mohammed Alrabeah

Health Professions Education

Purpose This study aims to explore the impact of AI on medical education by examining the relationship between AI use and academic performance in medical courses, evaluating the extent of its integration in students' clinical practice and application, and assessing how it enhances medical knowledge and understanding. In addition, the study measures medical students' attitudes toward the use of AI in their education and clinical training, providing a comprehensive overview of both its benefits and challenges.

Methods A cross-sectional survey was conducted between November 2024 and December 2024 with 168 participants, including students and interns from various academic years. The …

Knowledge And Attitudes Of Medical Students About Research Methodology, Statistics, And Statistical Inference: An Assessment For Clinical Research Comprehension Skills, Laith Ashour, Lama Al-Mehaisen, Afnan Rababa, Osama Alrjoob, Moutaz Amayrh, Malak Al-Rabe'e, Qusai Al-Anasweh, Hala Al-Miqdadi, Nada Freihat, Mohammad Al Khreisha, Ala' Al Doaikat, Al-Mo'tasem Bellah Al-Rahamneh, Hamzeh Hatamleh, Fayez Zedat

Health Professions Education

Objectives: Medical students require a solid understanding of statistics in research papers. However, literature lacks sufficient studies on their proficiency, especially on Jordanian aspect. Methods: We performed a cross-sectional study on 361 medical students to evaluate their attitudes toward statistics, their knowledge in research methodology, and their ability to correctly interpret commonly used statistics in medical research. Statistical attitudes were assessed using three scales (value, difficulty, and interest) from the SATS-36 scale. Additionally, a novel author's-validated scale was created to measure students' research methodology knowledge. The scale validity was assessed using Confirmatory Factor Analysis (CFA). Multiple linear regression analysis was …

Beyond Clinical: A Proposed Policy Literacy Pathway In Health Sciences Education, Zarina Syed

Health Professions Education

Purpose: Health sciences graduates require not only clinical competence but also the ability to interpret, engage with, and enact policy. Yet, undergraduate curricula often emphasize technical skills, leaving gaps in policy literacy. Method: This conceptual paper proposes a scaffolded Policy Literacy Pathway to progressively integrate policy understanding across health sciences curricula. Results: Policy is framed as a dynamic, context-dependent process, aligning global ethical frameworks such as the Sustainable Development Goals with regional legislation and professional regulations. The pathway comprises four stages: Encounter, Iterative Engagement, Critical Reflection, and Policy Enactment. These guide students from initial exposure to policy issues through analysis …

Healthcare Students' Perspective On The Clinical Placement Learning Environment: A Cross-Sectional Study Of Third- And Fourth-Year Students At A College Of Health Sciences In The Uae., Wuni Abdul Razak, Fatima Alrayssi, Arwa Alkarbi, Latifa Al Saedi, Suliman Salih, Ajnas Alkatheeri, Mohamed Hassaneen, Mohd Nazmi Nordin, Mbambo Collen, Emne Hammoud, Shaik Balkhis Banu, Monika Sachdeva, Noon Kamil

Health Professions Education

Purpose: This study evaluates the clinical placement learning environment from the standpoint of Year 3 and Year 4 healthcare students in the UAE. Methods: The perspectives of healthcare students on clinical learning environments were studied using the validated Undergraduate Clinical Education Environment Measure (UCEEM). Third- and fourth-year (fifth-year pharmacy students inclusive) undergraduate healthcare students (radiography and medical imaging, emergency health, midwifery, nursing, pharmacy, physiotherapy, and psychology) (n=647) at a United Arab Emirates university were invited to participate in the study. The UCEEM contains 25 items under two overarching aspects, experiential learning and social engagement, with four subscales: learning opportunities at …

The Role Of Application Questions In Identifying Underrepresented Applicants In A Doctor Of Physical Therapy Program: A Retrospective Cross-Sectional Study, Michael Bourassa, Allison Bourassa, Saurabh Mehta

Health Professions Education

Purpose: The underrepresentation of U.S minority groups in the physical therapy profession remains a persistent challenge, with student enrollment in U.S doctoral education programs being the main pipeline to increase representation within U.S healthcare fields. This study aims to examine the association between non-academic application questions and applicant diversity in a Doctor of Physical Therapy program. Methods: The main outcomes measured in this study include demographic and cognitive variables, as well as non-academic application questions, for a single DPT program admissions cycle. Demographic variables include race, gender, and age, while cognitive variables include GRE scores and GPA. General non-cognitive question …

Effectiveness Of 3d-Printed Models In Undergraduate Dental Endodontic Education: A Systematic Review., Razi Jalali, Shankargouda Patil, Frank W Licari, Kamran H Awan, Shilpa Bhandi

Health Professions Education

Purpose: With the development of flexible polymers and stereolithography, 3D printed models have been proposed for dental education to overcome the shortcomings of extracted natural teeth and artificial resin blocks. This review aimed to systematically review the literature available for the effectiveness of the use of 3D printed tooth models for undergraduate endodontic education. Methods: Based on the inclusion and exclusion criteria, PubMed, Scopus, Web of Science, and Google Scholar electronic databases were searched. Clinical studies with full-text articles available in the English language were selected. Data extraction, risk of bias assessment using the ROBINS-I tool, and assessment of the …

Factors Influencing Feedback In A Problem-Based Learning Curriculum: A Mixed Methods Study In The Context Of Saudi Arabian Medical Schools, Abdulmohsen M. Alomair, John Sandars, Michelle Marshall, Pirashanthie Vivekananda-Schmidt

Health Professions Education

Purpose Even though there is extensive literature about good practice in feedback, it is currently unclear how to sustain a good quality feedback experience in a problem-based learning (PBL) curriculum. This research aims to explore students’ and tutors’ experiences of the feedback process in a PBL curriculum in the local context of Saudi medical schools, and to identify factors that influence perceived feedback quality. Method A mixed methods approach was adopted. First, 856 students from six medical schools completed a survey, followed by 12 student focus groups and 11 tutor semi-structured interviews across four schools. Results Verbal feedback was reported …

Integration Of Planetary Health In Health Professions Education And Training In Low- And Middle-Income Countries: A Scoping Review, Rayishnee Pillay, Veena S Singaram

Health Professions Education

Purpose: This review explored the integration of planetary health and sustainable healthcare education in health professions education and training in low- and middle income countries (LMICs), by mapping capacity development initiatives, pedagogical approaches and contextual barriers to implementation. Method: A literature search was conducted using the following databases, MEDLINE (PubMed), EBSCOhost (Academic Search Complete), ERIC, ProQuest, Redalyc, Sabinet, Scielo, ScienceDirect, Scopus, Web of Science, and grey literature search on CORE, Google and Google Scholar for publications on the incorporation of planetary health and sustainable healthcare education in health professions education and training in LMICs between 1 January 2014 to 30 …

Assessing The Academic Performance Of Medical Students In Face-To-Face And Online Examinations: A Comparative Study From A Leading Medical College Of Peshawar, Pakistan, Rizwan Faisal, Iftikhar Qayum, Lia Anwar, Usama Afridi, Abdul Rahman, Rehan Ahmad

Health Professions Education

Background: The world of medical education is rapidly replacing the traditional face-to-face assessments of students by switching to online systems, and Pakistan is also undergoing this transition in its medical colleges and universities. It is therefore essential to obtain data on the performance of medical students in this new mode of assessment so that a smooth transition is enabled. Objective: To evaluate the academic performance of medical students in face-to-face and online examinations based on gender and professional year. Methods: A comparative study was performed at Rehman Medical College, Peshawar, Pakistan, from November 2023 to January 2024, on face-to-face and …

Exploring Job Stressors And Burnout Among Core Faculty In Entry-Level Physical Therapist Education Programs: A Convergent Mixed Methods Study, Jj Ferguson, Adam Fritsch, Jodi L. Young

Health Professions Education

Purpose This study explored burnout among core faculty in Doctor of Physical Therapy (DPT) programs, identifying its most prevalent aspects and key organizational correlations. Methods A convergent parallel mixed-methods design integrated quantitative data from the Maslach Burnout Inventory–Educators Survey and the Areas of Worklife Survey with qualitative data from semi-structured interviews. Data were collected concurrently, analyzed independently, and merged during interpretation. Quantitative analyses used multiple linear regression, while qualitative data underwent thematic analysis. Results Eighty-one faculty completed the survey and 20 participated in interviews. Emotional exhaustion emerged as the most prevalent burnout dimension, with 51.9% reporting moderate to high levels. …

Professional Identity Development Among Nursing Students: The Impact Of Structured Reflective Practice, Abdelmonim El Fadely, Kamal Takhdat, Charaf-Eddine Ahraiba, Rahma Bouali, Sabah Selmaoui, Boujemaa Agorram

Health Professions Education

Purpose This study aimed to assess the impact of a structured reflective practice intervention on the development of professional identity among nursing students. Method A mixed-methods design was adopted. The intervention, based on guided reflective practice, was implemented with a voluntary sample of 58 participants. The evaluation relied on a quasi-experimental quantitative approach using the Macleod Clark Professional Identity Scale, with a comparison group and both pre-test and post-test measurements. A qualitative component was also included to explore the dimensions of the studied concept in greater depth. Results Quantitative findings showed a statistically significant difference between the post-test means (p < 0.001), indicating that the reflective practice intervention had a positive effect on the experimental group compared to the control group. The qualitative results further illuminated students’ reflections, which were organized into ten themes corresponding to the study’s conceptual framework: professional knowledge and skills, values and ethics, the nursing role, leadership, professional self-image, social image of the profession, sense of belonging, identification with role models, theory–practice integration, and career choice. These dimensions provided a comprehensive and nuanced understanding of professional identity, capturing the complexity of the concept. Conclusion These results support the integration of reflective practice as a pedagogical approach to fostering the construction and development of a positive professional identity. Professional identity, as a rich and multidimensional concept, goes beyond the process of professionalization—it represents its ultimate achievement.

Developing A Framework To Enhance Medical Student Well-Being: A Cross-Sectional Study Exploring The Interplay Between Stress, Resilience, And Quality Of Life, Omayma Hamed, Elshaimaa Ahmed, Lamiaa Mohsen, Patricia S. Sexton

Health Professions Education

Purpose: Medical training imposes significant stress on students, often leading to burnout, anxiety, and/or diminished quality of life (QoL). Resilience has been identified as a critical factor in mitigating these challenges. However, there is limited research examining how stress and resilience interact to shape QoL in undergraduate medical students. This study expands upon Lazarus and Folkman’s Transactional Model of Stress and Coping by introducing a synthesized framework that integrates resilience as both a mediator and moderator of stress, advancing the understanding of these relationships.

Methods: A cross-sectional study was conducted among 194 first- and second-year medical students at a private …

Undergraduate Research Experiences Toward Student Success: Challenges And Opportunities For Medical Science Students At A University Of Technology, Ziningi Nobuhle Jaya

Health Professions Education

Purpose: The study aimed to evaluate the research experiences of undergraduate medical science students at a university of technology to identify challenges and opportunities and determine the affordances of research participation for student success.

Method: The study population comprised all third-year medical science students (n=30) enrolled in the research methods module, which is the only such module offered as part of the medical science academic program. Participation was voluntary and so the final sample represents a self-selected subset of fourteen individual from the full cohort. The data collection tool comprised closed and open-ended questions evaluating challenges, lessons learned, skills developed, …

Beyond The Numbers: A Mixed-Method Evaluation Of Faculty, Peer, And Self-Assessment Using Rubrics In Blood Pressure Determination Among Phase 1 Mbbs Students, Abeetha S, Chitra M, Suba A, B. Dharani, Sadhana S

Health Professions Education

Background: Competency-Based Medical Education (CBME) emphasizes formative, learner-centred assessment. Blood pressure (BP) measurement, a core clinical skill, integrates knowledge, skills, communication, ethics, and attitude. While rubrics are widely used to standardize evaluation, their utility in triangulating faculty, peer, and self-assessment in BP measurement remains underexplored.

Aim: To evaluate the reliability and educational value of rubric-based faculty, peer, and self-assessment in BP determination among Phase 1 MBBS students using a mixed-methods approach.

Methods: A cross-sectional mixed-methods study was conducted among 98 Phase 1 MBBS students in a South Indian medical college. Forty-nine students performed BP measurement, assessed simultaneously by 5 faculty …

Assessing The Effectiveness Of The Well-Being Through Occupational Participation (Wbop) Intervention In Promoting Well-Being In Occupational Therapy Students From A Philippine University: A Convergent Mixed-Methods Study, Elena Wong Espiritu, Maria Concepcion Dc. Cabatan, Guia Allyza D. Rabacca, Marlowe Eriberto P. Acuña Jr, Jay Allen B. Villon, Peñafrancia E. Ching

Health Professions Education

Purpose: Filipino occupational therapy students experience decreased well-being during their educational experience. However, there is a limited amount of literature describing their well-being and a scarcity of culturally specific interventions to promote student well-being. The Well-Being Through Occupational Participation intervention is an evidence-based, manualized program consisting of a variety of occupation-based activities. The objective of this study aimed to assess the effectiveness of a modified version of the intervention in promoting undergraduate Filipino occupational therapy student well-being.

Methods: A convergent mixed-methods approach was used, specifically longitudinal survey for the quantitative design and qualitative descriptive for the qualitative design. Data was …

Exploring The Quality Of Educational Climate In Ethiopian Health Sciences Education: A Comparative Study Of Public And Private Institutions, Yenuse Molla, Temesgen Fereja, Ayenachew Assefa, Tegbar Yigzaw

Health Professions Education

Purpose: Educational environment plays a pivotal role in shaping the quality of health professionals' training. In Ethiopia, disparities in institutional resources, governance, and student support systems between public and private higher education institutions (HEIs) have raised concerns about the overall quality and equity of health science education. This study aimed to assess the status of the educational environment in selected public and private HEIs and propose targeted recommendations for its enhancement.

Methods: A comparative cross-sectional case study research design was employed. The Dundee Ready Education Environment Measure (DREEM) was administered to final-year undergraduate students across medicine, nursing, midwifery, and radiologic …

Teaching Research To Undergraduate Nursing Students, Strategies And Theoretical Frameworks: A Scoping Review, Rquia Laabidi, Ouassim Mansoury, Samia Boussaa, Saloua Lamtali, Majda Sebbani, Mohamed Amine, Latifa Adarmouch

Health Professions Education

Purpose: The purpose of this study is to identify strategies and theoretical frameworks cited in the literature to facilitate understanding research.

Method: The search was limited to articles published in Pub Med, between 2010 and 2022, in the English language, describing an intervention, with a well-defined outcomes and year of implementation.

Results: A total of 30 articles were included. The results identified 10 theoretical frameworks and three main categories of pedagogical strategies. Based on the results, a taxonomy was proposed for teaching research to nursing students (prepare, involve and empower).

Conclusion: research teaching is complex, the literature relates …

Motivational And Self-Regulated Learning Strategies As Predictors Of Gross Anatomy Performance In Doctor Of Physical Therapy Students: A Cross-Sectional Study, Kelly Reynolds, Marcus Roll, Karen Huhn

Health Professions Education

Background: Motivation and self-regulated learning strategies influence how students engage with and persist through complex learning tasks in health professions education. However, academic performance is multifactorial, and the contribution of these constructs in Doctor of Physical Therapy (DPT) education remains unclear.

Purpose: To explore whether aspects of motivation and self-regulated learning strategies are associated with and predictive of gross anatomy performance in DPT students.

Methods:  In this cross-sectional study, first-year DPT students from two U.S. programs completed the Motivated Strategies for Learning Questionnaire (MSLQ) at the start of a gross anatomy course. Final aggregated course grade served as the measure …

Health Students’ Knowledge, Perceptions, And Willingness Toward Artificial Intelligence In Tackling Antimicrobial Resistance: A Cross-Sectional Study, Ikhwan Yuda Kusuma, Fauziah Fauziah, Afriza Pujiati, Dhiya Zulayta, Septi Nurkhasanah, Khamdiyah Indah Kurniasih

Health Professions Education

Background: Antimicrobial resistance (AMR) causes approximately 4.95 million deaths annually. Although artificial intelligence (AI) may enhance AMR detection, surveillance, and antimicrobial use, evidence remains limited regarding how health students’ knowledge, perception, and willingness influence AI adoption for AMR control.

Purpose: This study aimed to examine the direct and mediating relationships between health students’ knowledge, perception, and willingness toward AI-based approaches for combating antimicrobial resistance in Indonesia using structural equation modeling.

Methods: A cross-sectional study involving 4,369 health students across Indonesia was conducted using a validated questionnaire. Data on knowledge, perception, and willingness were analyzed using Structural Equation Modeling (SEM), SmartPLS, …

Acceptance And Use Of Ai Chatbots In Preclinical Medical Student Learning, Hunter Levingston, Max C. Anderson, Albert Pool, Monzurul A. Roni

Health Professions Education

Purpose: Medical students increasingly use artificial intelligence (AI)–based chatbots as learning aids, yet adoption patterns vary widely across educational contexts. This study aims to identify the factors that influence the use of AI-based chatbots among U.S. medical students.

Methods: A survey was administered to preclinical students (N =61) at a U.S. public medical school using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. The survey assessed performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, and usage behavior associated with the adoption of AI-based chatbots. Regression analyses were conducted to investigate the relationships between UTAUT constructs …

Mapping The Use And Psychometric Characteristics Of The Objective Structured Clinical Examination (Osce) In Musculoskeletal Physical Therapy Education: A Systematic Review, Luis Gómez Miranda, Tomás Reyes Amigo, Hernán Andrés De La Barra Ortiz

Health Professions Education

Purpose. Musculoskeletal disorders are a major cause of disability, underscoring the need for clearly defined and assessable competencies in physical therapy education. Although OSCEs are increasingly used in physical therapy programs, evidence regarding their design and psychometric properties is not yet fully characterized within musculoskeletal physical therapy education. This systematic review aimed to describe how OSCEs have been applied to assess musculoskeletal competencies in physical therapy education, summarize their structural characteristics and reported psychometric properties, and identify methodological gaps.

Method. A systematic review was performed according to PRISMA guidelines. Electronic searches were conducted in PubMed, Scopus, Web of Science, EBSCOhost, …

Reimagining Patient Interviews: The Effect Of Ai-Generated Chatbots On Dpt Student Engagement - A Case Report, Leslie M. Smith, Samantha Hsu, Peter F. Bodary

Health Professions Education

Background and Purpose: Artificial intelligence generated chatbots (AIGC) present new possibilities for physical therapist education, especially for self-directed learning and skill development. Their impact on Doctor of Physical Therapy (DPT) students’ communication and interviewing skills is still underexplored. This case report evaluates DPT students’ experiences and perceptions of AIGC in a case-based classroom activity. Case Description: Participants were first-year entry-level DPT students (n=64) enrolled in a 9-week critical thinking course. They practiced history taking and interview skills with seven patient cases using AIGC and completed a post-activity survey (n=59).

Outcomes: A total of 93.2% found AIGC relevant for learning patient …

Quantum Machine Learning Models: Principles, Frameworks, And Computational Challenges, K. A. Jayabalaji, S. Venkata Anand, Dineshkumar Rajendran, Prasanta Chatterjee Biswas, Sardor Omonov, Rubaid Ashfaq

Computer Science Faculty Publications

Quantum machine learning (QML) has become an optimistic avenue of harnessing quantum computation in data-driven modeling, especially of issues with high dimensionality and complicated correlations. Current methods are generally based on fixed or over-parameterized quantum circuits, and hence restricted to scalability as well as unproductive optimization in real-world hardware. This chapter introduces a hybrid quantum-classical learning system that is adaptive and provides principled quantum data encoding, architecture-conscious variational circuit design and resource-optimal optimization. The technique is based on the concepts of quantum architecture search and subspace-preserving transformations to trade expressiveness with trainability, and discretize the quantum model into a classical …

Integration Of Hybrid Quantum-Neuromorphic Ai With Cloud, Edge, And High-Performance Computing Environments, Arun B. Prasad, Ajay Prasad, Dineshkumar Rajendran, Anurag Tiwari, T. Akilan, Islombek Khushvaktov

Computer Science Faculty Publications

The convergence of quantum computing, neuromorphic learning, and distributed cloud infrastructures has occurred very rapidly, and intelligent systems are now providing new opportunities, but the challenge of instability, complexity of orchestration, and noise sensitivity remains in the way of practical integration. The proposed work is based on a hybrid quantum and neuromorphic architecture, which is the integration of event-based neuromorphic adaptation and quantum-assisted global optimization, orchestrated by cloud-HPC. The architecture presents the thermodynamically regularized learning and resourceful task scheduling to the probabilistic search and the continuous local adaptation. Experimental evaluation across financial modeling, medical imaging, and physical system prediction shows …

Examining Inclusive Computing Education For Blind Students In India, Akshay Kolgar Nayak, Yash Prakash, Md Javedul Ferdous, Sampath Jayarathna, Hae-Na Lee, Vikas Ashok

Computer Science Faculty Publications

The growing demand for computer professionals, driven by the expanding Information Technology industry, has led to numerous inclusive computing education efforts. These efforts have even included blind or visually-impaired (BVI) students, who are being increasingly encouraged to pursue education and a career in computing, despite the visually-oriented nature of the discipline. Extant literature has predominantly focused on identifying and addressing the accessibility barriers faced by BVI students to promote more inclusive learning environments. While few studies have also investigated the accessibility of computing education from the perspectives of BVI learners and instructors, these have been primarily situated in the Global …

Exploring Large Language Models For Trustworthy Use: Insights From Research And Development, Sandeep Kalari, Sahithi Padidela, Vikas Ashok, Ravi Mukkamala

Computer Science Faculty Publications

Large Language Models (LLMs) are increasingly being adopted in a wide variety of domains, including sensitive domains such as healthcare and finance. However, persistent challenges such as unreliable data sources, privacy breaches, and hallucinated output continue to hinder their usage. We have experimented with several strategies to address these challenges. First, we developed BlockQwen, a blockchain-augmented framework that integrates decentralized trust validation, role-specific access control, and verifiable audit trails into the Qwen 2.5 LLM workflow. Second, we developed PrivAware, a multilayered privacy-enforcement framework, using a fine-tuned Flan-T5 model with self-attention masking, to safeguard data while maintaining high utility. Both systems …

Maxgrnet: A Multi-Axis Vision Transformer With Improved Generalization For Eye Disease Classification Using Explainable Ai With Insertion-Deletion Operations On Fundus Images, Md Mehedi Hasan Santo, Fuyad Hasan Bhoyan, Fuad Ibne Jashim Farhad, Fahmid Al Farid, Sovon Chakraborty, Md Humaion Kabir Mehedi, Jia Uddin, Hezerul Bin Abdul Karim

Computer Science Faculty Publications

Eye diseases, including diabetic retinopathy (DR), glaucoma, and cataracts, represent a major global health concern and can lead to severe visual impairment or blindness if not identified in a timely manner. This study proposes a novel eye disease classification framework based on a multi-axis vision transformer (MaxViT) applied to color fundus images with Explainable Artificial Intelligence (XAI) techniques to enhance model transparency. The proposed architecture integrates transformer-based attention mechanisms with Global Response Normalization (GRN)-based multi-layer perceptron (MLP) layers to capture complex spatial and contextual relationships within fundus images effectively. The model was evaluated on a publicly available eye disease classification …

Privacy-Preserving Federated Learning With Optimized Ensemble Weighting And Knowledge Distillation For Covid-19 Detection From Non-Iid Medical Imaging Data, Richard Annan, Hong Qin, Robert Newman, Madhuri Siddula, Letu Qingge

Computer Science Faculty Publications

Medical imaging enables rapid and accurate diagnosis of COVID-19, with CT scans proving especially effective. However, data privacy concerns limit collaborative model development across hospitals. To address this issue, we introduce a novel federated learning framework. It is referred to as Independent Knowledge Distillation with post-Ensemble Federated Learning (IKDEFL). Differential Privacy (DP) is integrated into the framework to improve privacy guarantees. Three DP mechanisms are evaluated. These include Fixed Gaussian, Gaussian Adaptive, and Tree Adaptive. The evaluation has been conducted on heterogeneous and Non-Independent and Identically Distributed (Non-IID) datasets. These datasets reflect real-world hospital scenarios. Results show that IKDEFL significantly …

Biosecure-Llm Framework: Protecting Llms From Cyberbiosecurity Threats And The Case For Independent Ai Safety Governance, Xavier-Lewis Palmer, Lucas Potter, Srdjan Lesaja, Sotirios Karathanasis, Mohammad Ghasemigol

Computer Science Faculty Publications

Large Language Models (LLMs) are becoming critical infrastructure in scientific, healthcare, and governmental contexts. As frontier AI laboratories increasingly partner with government agencies, a fundamental question arises: Who should control the safety and policy-enforcement layers that constrain model behavior? Current safety mechanisms (LLM guardrails) are typically designed for generic "harmlessness" and operate by detecting semantic patterns and refusing requests. However, they are inadequate governance instruments because they cannot implement auditable, domain-specific controls tied to external regulatory policy objects (e.g., control lists or rules governing personally identifying information). Even a perfectly aligned model is not able to express institution-specific policy without …

An Explainable Transformer Framework For Sentiment Analysis In Aviation Workforce Data, Sovon Chakraborty, Protiva Das, Fahmid Al Farid, Fuyad Hasan Bhoyan, Farig Yousuf Sadeque, Jia Uddin, Hezerul Abdul Karim

Computer Science Faculty Publications

Aviation is one of the predominant sectors that contribute significantly to the global economy. With the advent of technology, this industry is witnessing a paradigm shift towards data-driven approaches. The morale of the airline employees is barely noticed, which causes fatigue and depression. Furthermore, these mental health issues can be active reasons for destructive accidents. In this research, the authors are focused on collecting insightful information on aviation employees from Glassdoor.com. Moreover, the authors focus on analyzing the sentiments of the employees of renowned aviation companies. Primarily, the authors scraped necessary data from Glassdoor.com and created a dataset named JetJobJoy …