As technology continues to permeate and disrupt traditional work roles, it becomes increasingly important to support the development of lifelong learning skills (Leone, 2013; Shea & Bidjerano, 2009). As educators, it is therefore imperative that we build programs that support learners as they adapt and evolve to this new norm. Constantly growing skill sets, cultivating awareness about changing contexts, maintaining flexibility, and refining project and people management skills will be key to the survival of companies and workers in the 21st Century (Donovan & Benko, 2016). Recent breakthroughs in Generative AI have created opportunities to explore and develop new types of AI driven educational technologies that have the potential to reshape the work of educators with tools to augment teaching practice and tools to support student learning. The best of these tools will permit well-trained educators to do what they do best: ensure each learner reaches their fullest potential and achieves the best possible education outcomes.

Generative AI can help us achieve this goal by personalizing the learning experience to:
- Match learning activities to the student’s current learning level, aptitude and interests;
- Support diverse learners who struggle with traditional classroom environments;
- Help underprepared learners get back on track academically; and
- Allow learners to move forward relatively independently to meet their needs.

Research on PL using AI adaptive technology has shown statistically significant improvements in degree program completion and satisfaction. For example, recent research by Lim et al. (2023) has shown that AI-driven personalized learning scaffolds, informed by real-time data are promising interventions that dynamically respond to students’ needs enhancing self-regulated learning, leading to academic achievement, retention and success. However further research is necessary to refine the AI-driven supports and optimize their impact on learning outcomes. In another recent study, Chang et al. (2023) addressed the challenges ChatGPT and generative AI technologies pose in educational contexts such as concerns about potential student misuse, misrepresentation of work, and passive learning without active participation. The researchers advocate embracing AI as a contemporary educational trend and collaborating among educators, instructional designers, user experience designers, AI researchers, and software developers to establish pedagogical principles for integrating AI technologies into instructional contexts.

This presentation will review the research on using Generative AI to personalize teaching and learning interactions and experiences in higher education contexts and provide guidelines for integrating Generative AI into teaching and learning practices to enhance Personalized Self-Regulated Learning or PSRL.

Keywords: Generative AI, Personalized Learning, Self Regulated Learning, Lifelong Learning.