Talks & Service
Scholarship, Leadership, and Academic Engagement
My academic work extends beyond teaching and research to include conference presentations, scholarly service, professional leadership, and community engagement.
I view these activities as opportunities to contribute to academic communities, support emerging scholars, share research with broader audiences, and help connect data, technology, education, and practice.
Selected Presentations
Technology Integration for Diverse Learners
Itauma, I. (2024).
Technology Integration for Diverse Learners: Enhancing Engagement and Accessibility.
Regional Center for Educational Planning (RCEP) UNESCO Symposium.
This presentation focused on the role of technology in creating more inclusive, accessible, and engaging learning environments.
Factors Predicting Mathematics and Science Motivation
Itauma, I., Robertson, A., Fuda-Daddio, J., & Komaroff, E. (2024).
Factors Predicting Mathematics and Science Motivation among Minority Female High School Students.
American Educational Research Association Annual Meeting, Philadelphia, Pennsylvania.
This research examined factors associated with STEM motivation among minority female high school students and reflects my broader interest in education, student success, and STEM participation.
Leveraging Large Language Models for Predictive Analytics
Itauma, I. (2024).
Leveraging Large Language Models for Predictive Analytics and Code Generation Using ChatGPT and Gemini API.
1st International Business Analytics Conference, Fredonia, New York.
This presentation explored emerging applications of large language models in predictive analytics and code generation.
Data Management & Analytics in Health Systems
Itauma, I. (2020).
Data Management & Analytics Simplified for the New Normal in the Health System.
Hospital Data Management & Analytics Conference.
Engaging Students with Canvas
Itauma, I. (2020).
Engaging Students with Canvas in Online and Traditional Classrooms.
Michigan Canvas Users Conference.
Exploratory Data Analysis in Educational Research
Itauma, I. (2018).
Conducting Exploratory Data Analysis in Educational Research Using HPCC Systems.
HPCC Systems Engineering Summit – Community Day.
Unsupervised Learning and Image Classification
Itauma, I., & Chen, X. (2016).
Unsupervised Learning and Image Classification in High Performance Computing Clusters.
HPCC Systems Engineering Summit – Community Day.
Poster Presentation and Speaker.
Selected Conference Leadership & Service
American Educational Research Association
Chair, AERA Annual Meeting (2026)
Session: Teacher Leadership, Wellbeing, and Retention
Discussant, AERA Annual Meeting (2026)
Session: Preparing Future Educators in the Age of AI
These roles reflect my continuing engagement with scholarship related to education, leadership, teacher development, wellbeing, and artificial intelligence.
International Business Analytics Conference
Moderator, 1st International Business Analytics Conference (2024)
Track: Analytics in Business Education
I have also supported and collaborated with students and researchers presenting applied analytics work at the International Business Analytics Conference.
Doctoral Research Leadership
Dissertation Chair
DeVos Graduate School of Management, Northwood University
2023–Present
My dissertation chairing experience includes mentoring doctoral researchers through the development and completion of quantitative and applied research.
My mentorship has included support in:
- Research problem development
- Literature review
- Theoretical framework development
- Research question alignment
- Methodology
- Advanced statistical analysis
- Research interpretation
- Dissertation defense preparation
- Conference presentation
- Scholarly dissemination
Learn More About My Mentorship Approach →
Doctoral Scholar Spotlight
Dr. Shemika S. Miller
Dissertation: A Systematic Review and Meta-Analysis of the Impact of Leader-Member Exchange (LMX) Quality on Employee Turnover Intentions
Dr. Shemika S. Miller completed her doctoral dissertation at Northwood University in 2024.
I had the privilege of serving as her dissertation chair and supporting her through the research process, including methodological development, quantitative synthesis, interpretation of findings, and successful completion of the dissertation.
Her work represents the type of doctoral scholarship I aim to encourage: theoretically grounded, methodologically rigorous, evidence-based, and relevant to both scholarship and organizational practice.
Miller, S. S. (2024). A systematic review and meta-analysis of the impact of leader-member exchange (LMX) quality on employee turnover intentions [Doctoral dissertation, Northwood University].
View the Dissertation on ProQuest
Academic Leadership & Service
My academic leadership and service activities have included:
- Graduate program leadership
- Curriculum development
- Program assessment
- Faculty mentorship
- Student success initiatives
- Enrollment and retention support
- Dissertation supervision
- Academic quality improvement
- Interdisciplinary collaboration
- Conference moderation
- Scholarly reviewing
- Research mentorship
I view academic service as an important part of creating environments where faculty, students, and researchers can succeed.
Professional & Community Engagement
My broader professional engagement reflects interests in leadership, learning, analytics, and community development.
Faculty and Student Development
I have supported faculty and students through mentorship, collaborative academic planning, instructional guidance, and research development.
Research Communication
I value opportunities to communicate research beyond traditional academic publications through conferences, professional presentations, workshops, and accessible research resources.
Coaching and Community
Outside academia, I am also involved in pickleball coaching and mentorship.
Coaching reinforces many of the same principles I value in academic work:
- Continuous improvement
- Strategic thinking
- Confidence building
- Resilience
- Collaboration
- Community
Areas of Speaking Interest
I welcome opportunities to contribute to academic and professional conversations related to:
- Artificial intelligence in education
- Predictive AI and machine learning
- Human–AI decision-making
- AI literacy
- Responsible use of generative AI
- Data science education
- Health and wellness analytics
- Structural equation modeling
- Bayesian analytics
- Research methods
- Reproducible research
- Bibliometric analysis
- Doctoral mentorship
- Academic leadership
- Student success
Looking Ahead
As my work at Harrisburg University develops, I look forward to expanding my engagement in:
- Research conferences
- Invited talks
- Academic panels
- Workshops
- Doctoral research events
- Interdisciplinary collaborations
- AI and data science communities
- Research methods training
- Student research showcases
This page will continue to evolve as new presentations, service activities, and scholarly engagements are added.