Session Description
Abstract
The rapid advancement of artificial intelligence (AI) technologies presents unprecedented opportunities to transform higher education, particularly in the realm of online learning. As educators, we continuously analyze student data, provide real-time interventions, and assess student progress, reducing administrative burdens and focusing on personalized support for students. Predictive analytics, powered by AI, offer the potential to revolutionize how educators identify and support at-risk students, personalize learning experiences, and make data-driven decisions.
Objectives
- Discuss the integration of AI-powered predictive analytical tools into existing university online learning platforms.
- Present new AI platform examples and their ease of use.
- Discuss a short list of ethical considerations and guidelines for responsible AI implementation.
Expected Outcomes/Goals
- Demonstrate an understanding of the impact of AI tools on faculty workload and student-teacher relationships through session evaluation (interactive multiple-choice responses).
- List the discussed benefits and challenges of implementing AI-powered systems for educators.
- Identify the ethical considerations of implementing AI-driven analytics in higher education (interactive participation).
- Understand the practical considerations for AI implementation in participant institutions.
- Demonstrate an awareness of how AI can improve student outcomes while allowing educators time to focus on personalized student evaluations and timely feedback.
Benefit, Application of Knowledge
- New learning, utilizing some examples of online platforms (applied at the workplace)
- Instructor feedback in real-time (benefit)
- Reveal ethical barriers specific to AI-generated higher education learning platforms. (Benefit: new knowledge and understanding)
Presenter(s)
Pamayla Darbyshire
University of Phoenix, AZ, USA
Dr. Pamayla E. Darbyshire is a Center for Educational and Instructional Technology Research (CEITR) research fellow, a long-time member of Sigma Theta Tau International Honour Society of Nursing, and a peer reviewer for numerous international scientific journals, including The Qualitative Report and The AORN Journal. She also mentors doctoral students. Dr. Darbyshire is a member of the Association of periOperative Registered Nurses (AORN) National Research Committee, involved in grant approvals. She is an active Case Management Society of America (CMSA) member and a core Diversity, Equity, Inclusion, and Belonging (DEIB) committee member. Her research focus is case management and chronic diseases, and she has presented at conferences with an international audience. Dr. Darbyshire has co-authored for Phoenix Scholar, The AORN Journal, and other peer-reviewed journals.
Carl Beitsayadeh
University of Phoenix, AZ, USA
Carl Beitsayadeh leverages his over 20 years of university-level teaching experience to serve as a faculty member at the University of Phoenix since 2002. Beyond academia, Carl also acquired 20 years of experience in an engineering capacity and holds patents in food industry technology. His academic engagement extends beyond the classroom, as he serves as a Research Fellow in the University of Phoenix's Center for Educational and Instructional Technology Research (CEITR). His research interests include memory consolidation, epistemologies of adult learning, metacognitive skill development, and the effectiveness of interleaved learning strategies. Through his research, he aims to develop innovative teaching methods and learning tools to further enhance the process of learning.