Welcome
Hello, I am Hosung You, a doctoral candidate in Workforce Education and Development at Penn State University. My research focuses on human-AI collaboration, ethical leadership in digital contexts, and career development.
Currently, I am working on research projects related to agentic AI integration and ethical leadership development under the guidance of Dr. Hyung Joon Yoon. My research explores how transformational leaders can ethically integrate AI systems with human teams while preserving human agency and dignity.
Recent News
- [2025.05] Presented posters on "Extension Master Gardeners and Watershed Stewards' motivation" and "Evaluation of Pilot STEM Career Symposium" at the AAAE National Conference.
- [2025.04] Conducted workshop on "Harnessing artificial intelligence to enhance volunteer motivation and retention" at Penn State Extension.
- [2025.03] Received the Dr. Kenneth E. Ruch Award in Education from the College of Education, Penn State University.
- [2025.01] Appointed Treasurer of Workforce Education Graduate Student Association (WEGSA) for 2025.
- [2024.02] Submitted preprint "Developer Skills and Learning Pathways" to Zenodo repository.
Research Interests
My research interests include:
- Human-AI Teaming and Ethical AI Integration
- Career Development and Human Agency Theory
- Organization Development in AI-Augmented Environments
- Transformational Leadership
- Structured Self-Reflection for Ethical Leadership
- Quantitative Research Methods (Meta-analysis, SEM)
For collaboration inquiries or questions about my research, please contact me at hfy5138@psu.edu.
Research Areas
My research primarily focuses on the following areas:
- Human Resource Development and Organizational Development
- Career Development and Human Agency
- Transformational Leadership and Work Engagement
- Human-AI Collaboration and Ethical AI Integration
Publications and Presentations
Developer Skills and Learning Pathways: An Evidence-Based Framework for Strategic Human Resource Development
This study presents a comprehensive, interpretable machine learning analysis of the 2024 Stack Overflow Developer Survey to investigate the market value of developer skills and the effectiveness of various learning pathways. Employing XGBoost models and SHAP value interpretation, we estimate skill premiums, value impacts, and learning method ROI across developer subgroups. Results reveal optimal learning approaches for different career stages and technical domains, providing a data-driven framework for strategic human resource development.
Ai unleashed: Navigating the pathways to adoption and transformation in business landscapes
This presentation explored the pathways for AI adoption in organizational settings and analyzed the transformative impacts on business structures and workforce development strategies.
Towards Agentic HRD: Facilitating a Dialogue for Research Collaboration
A collaborative session that established frameworks for research partnerships in agentic approaches to Human Resource Development, exploring new paradigms for workforce education.
Extension Master Gardeners and Watershed Stewards' motivation amidst COVID-19
This poster presentation examined motivational factors affecting Extension volunteers during the pandemic, with implications for program design and retention strategies.
Evaluation of Pilot STEM Career Symposium for Minority-Serving Institutions' youth
This research evaluated outcomes of a pilot STEM career symposium designed for youth from Minority-Serving Institutions, assessing program effectiveness and educational impact.
Harnessing artificial intelligence to enhance volunteer motivation and retention
A hands-on workshop demonstrating practical applications of AI tools to improve volunteer engagement, recruitment, and retention strategies for extension programs.
A Relationship among Self-direction, Teaching Presence, Social Presence and Perceived Academic Achievement of Teachers in Distance Training Program
This research examines the relationship between self-direction, teaching presence, social presence, and perceived academic achievement in distance training programs for teachers. The study provides insights into the factors that influence effective distance education, especially in the context of teacher professional development during the COVID-19 pandemic.
Curriculum Vitae
Education
Penn State University, State College, Pennsylvania
Emphasis: Career Development of Veterans
Personal Focus: Career Development
Advisor: Dr. Hyung Joon Yoon
Korea University, Seoul, Republic of Korea
Advisor: Dr. Dae-Yean Cho
Dissertation: Transformational leadership, work engagement, and mediators: meta-analytic structural equation modeling
Chonnam University, Gwangju, Republic of Korea
Professional Experience
Professional Personnel Development Center, Penn State University
• Rebuild and enhance the online presence of the PPDC
• Responsible for ensuring digital platform reflects commitment to quality
• Collaborate with the team to strategize and implement promotional activities
• Draft and publish web content, blog posts, and articles
Workforce Education and Development Program, Penn State University
• Assisted Dr. Yoon in research on human agency and hope
• Contributed to developing the Human Agency-Based Individual Transformation (HABIT) model
• Conducted literature reviews and synthesized findings
• Managed and analyzed data using statistical software (SPSS, R, Mplus)
The Anam Society for the Study of Education, Seoul, Republic of Korea
• Recruited presenters and collected manuscripts for academic conferences
• Established timetables for conference operations
• Organized conference materials and managed logistics
Teacher Training Center, Korea University, Seoul, Republic of Korea
• Designed, scheduled, and managed in-service teacher training programs
• Established online distance training systems in response to COVID-19
• Managed a staff of 31 training course secretaries and assistants
Ministry of Employment and Labor, Employment Policy Division, Sejong, Republic of Korea
• Conducted administrative assistance and budget execution for policy research projects
• Coded and analyzed policy studies to understand trends in domestic employment policies
• Documented focus group interviews and contributed to research report preparation
• Secured a grant for $33,077 from the Korean Ministry of Employment and Labor
Awards and Grants
College of Education, The Pennsylvania State University
Institutional award recognizing outstanding academic excellence in the Workforce Education program
Office of Graduate Fellowships and Awards, The Pennsylvania State University
Competitive merit-based scholarship supporting graduate study and research in Workforce Education and Development
Graduate School, Korea University
Awarded for enhancing capabilities in core academic fields and fostering academic successors
Graduate School, Korea University
Presented by Corps Commander for flawless border operation and mental strength education
Service and Leadership
Penn State University
Managed financial operations, including budgeting and accounting for association events and initiatives
Penn State University
Scheduled to assume strategic leadership role supporting the association's mission
Penn State University
Managed financial operations for association events and initiatives
Skills
Business Applications: Microsoft Office Suite, Automation & Collaboration Tools (n8n, Zapier, LangGraph)
Programming & AI Development: Python, SQL, LangChain, OpenAI APIs, Streamlit, FastAPI
Languages: Korean (Native), English (Fluent)
Research Discussions
Discussion topics related to current research interests. Comments and feedback are welcome.
Developer Skills and Learning Pathways: Explainable AI for Workforce Development
This discussion explores my recent paper analyzing developer skills and learning pathways using XGBoost and SHAP analysis. The research quantifies how technical skills, learning approaches, and career stages interact to determine market value. Do you have feedback on the methodology, questions about the data structure, or thoughts on applying these insights to workforce development? Join the discussion on GitHub to share your perspectives on this explainable AI approach to human resource development.
Join the ConversationThe Future of Work: Ethical Integration of Agentic AI in Organizations
As AI systems become increasingly autonomous, how should organizations prepare for the integration of "AI colleagues"? This discussion explores the ethical dimensions of human-AI teaming, focusing on how Branson's Structured Self-Reflection Model can help leaders develop the ethical acumen needed to navigate complex questions of trust, accountability, and human agency in AI-augmented workplaces.
Join the ConversationPhenomenological Experiences of AI Adoption: Navigating Employee Anxiety and Adaptation
How do employees subjectively experience the integration of AI systems into their work? This discussion examines the emotional responses, resistance patterns, and adaptation strategies that emerge when organizations adopt increasingly sophisticated AI tools. I'm particularly interested in how workforce education professionals can better support employees through this transition while maintaining psychological safety and well-being.
Join the ConversationDeveloping Competency Models for Human-AI Collaboration
What competencies are essential for effective collaboration with AI systems? Traditional competency models need to evolve to address the unique challenges of working alongside intelligent technologies. This discussion explores frameworks for identifying, developing, and assessing the skills needed in an AI-augmented workplace, with special attention to balancing technical proficiency with distinctly human capabilities like ethical judgment and creativity.
Join the ConversationStart a New Discussion
Would you like to start a discussion on a new research topic or idea? I welcome conversations on AI ethics, workforce education, career development, and organizational leadership.
Propose a New Discussion TopicDatasets and Code
Sharing research resources related to current and past projects. These resources are available for academic and non-commercial purposes. Please provide appropriate citations when using.
Stack Overflow Developer Survey Dataset
Dataset from the 2024 Stack Overflow Developer Survey used to analyze developer skills, learning pathways, and career progression across different roles and experience levels.
Format: CSV
Updated: 2025-05-14
Access via ZenodoXGBoost and SHAP Analysis Code
Python code implementing XGBoost models and SHAP value interpretation to analyze developer skill premiums and learning pathway effectiveness across career stages.
Language: Python
Updated: 2025-05-14
Access via ZenodoLearning Pathway Matrix
Framework for mapping optimal learning resources and approaches based on technical domain and career stage, providing strategic guidance for workforce development.
Format: PDF, Excel
Updated: 2025-05-14
Access via Zenodo