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AI in Education: Research Topics

Introduction

The intersection of artificial intelligence (AI) and higher education has opened up a wealth of research opportunities. Some of the major research areas are listed below along with the specific projects. Please add your proposed project under the appropriate category.

Human and Artificial Cognition

  • Cognitive Implications of Human and AI Interactions

    • Proposed 2025 project title and researcher(s): Exploring implications of interaction between human and artificial cognitive systems during complex knowledge processes such as learning, sensemaking, and decision making. Research team leader: Mansureh Kebritchi, Ph.D.

AI-Enhanced Learning and Teaching

  • Doctoral research development using AI

    • Completed project in 2024: Creativity, productivity, and large language models: Co-creation of doctoral research questions; Research Team members: Mansureh Kebritchi, Ph.D., Andrew Beran, DBA, Alan Raveling, DCS, Yuvonne Richmond, Ph.D., Richard Schultz, Ph.D., Tony Taylor, DM/IST

  • Completed project in 2023: Exploring Educational Implications and Strategies of Using ChatGPT and other Generative AI in Online Courses at Higher Education; +Research Team members: Mansureh Kebritchi, Ph.D., Stella Smith, Ph.D., Dr. Arnetra Arrington,  Aaron Kenneston, D.M., Sonja Lamppa, M.A.S., Yuvonne Richmond, Ph.D., Richard Schultz, Ph.D., Susan Ferebee, Ph.D.

  • Student Support

    • Completed project in 2024: Empowering Education: Faculty Perspectives on AI for Student Support; Research Team Members: Karen Johnson, Ed.D., Janice Terrell, Ed.D., Jean Henry, Jeniffer Doran, Anne Moody

  • Student engagement

    • Completed project in 2024: Use of Generative AI in Maximizing Engagement in Online Higher Education; Research Team Members: Stella Smith, Ph.D. (co-lead), Melinda Kulick, Ph.D. (co-lead), Leonidas Maganares Ed.D., Jessica Sylvester, MBA

  • Student AI Skill

    • Completed project in 2024: Identifying and Activating Student AI Skills; Researcher: Jessica Sylvester, MBA

  • Personalized Learning: Developing AI-powered systems that can tailor educational content and delivery to individual student needs and learning styles.

    • Proposed project title and researcher(s):

  • Intelligent Tutoring Systems: Creating AI-driven tutors that can provide real-time feedback and support to students.

    • Proposed project title and researcher(s):

  • Assessment

    • Alternative assessment to prevent plagiarism

      • Proposed project title and researcher(s):

    • Automated Assessment: Using AI to automate grading and provide timely feedback on student work.

      • Proposed project title and researcher(s):

  • Adaptive Learning Platforms: Developing platforms that can adjust the difficulty and pace of learning based on a student's progress.

    • Proposed project title and researcher(s):

AI for Administrative Tasks

  • Student Admissions: Using AI to streamline the admissions process and improve decision-making.

    • Proposed project title and researcher(s):

  • Academic Advising: Leveraging AI to provide personalized academic advising and career counseling.

    • Proposed project title and researcher(s):

  • Resource Allocation: Optimizing resource allocation in higher education institutions using AI-driven analytics.

    • Proposed project title and researcher(s):

AI for Research and Innovation

  • Data Analysis and Visualization: Exploring AI techniques to analyze large datasets and uncover new insights.

    • Proposed project title and researcher(s):

  • Scientific Discovery: Using AI to accelerate scientific research and discovery.

  • AI-Powered Research Tools: Developing/identifying AI tools to assist researchers in tasks like literature review, data collection, and hypothesis generation.

    • Proposed project title and researcher(s):

Ethical Considerations and Policy Implications

  • AI and accessibility

    • Completed project in 2024: Exploring Perceived Equitable Access to AI by Online Higher Education Students; Research Team members: Robert King, James Traylor, Mark Guberman, Myrene Magabo, David Duren

  • AI Ethics: Exploring ethical implications of AI in higher education, such as bias, privacy, and transparency.

    • Proposed project title and researcher(s):

  • AI Policy: Developing policies and guidelines for the ethical and responsible use of AI in higher education.

    • Proposed project title and researcher(s):

AI and Various Disciplines in Higher Education

  • Application of AI in Leadership Studies: Exploring implications of using AI tools in organizational leadership studies
    • Proposed project title and researcher(s):

  • Application of AI in Healthcare Education: Exploring implications of using AI tools in healthcare education

    • Proposed project title and researcher(s):

  • Application of AI in Business Education: Exploring implications of using AI tools in business education

    • Proposed project title and researcher(s):