AI enhances education through personalized learning, analytics, automation, and adaptive content for improved outcomes.

Summary: On August 21, 2023, the University of Michigan launched a groundbreaking suite of generative AI tools, the AI Services platform, accessible to its over 100,000 community members. This initiative, communicated by Vice President for IT, Ravi Pendse, positioned the university as a leader in equitable AI use in higher education in North America. The platform includes AI applications capable of tasks like essay writing and offers free access to ensure equitable usage across the campus. This launch marks a significant step towards integrating AI into academic and operational functions, showcasing U-M’s commitment to innovation and inclusivity in technology.

Summary: As Learning and Development continues to rapidly evolve to meet learner needs, the intersection of learning analytics and generative Artificial Intelligence supercharges and propels learning dynamically in 2024. This transformative synergy is not just reshaping the traditional paradigms of learning but also ushering in an era of truly personalized, adaptive, and highly efficient learning experiences that cater to the diverse needs of learners in organizations across the globe. As with all generative AI-powered processes to date, learning analytics stands to benefit from the efficiencies and personalization offered almost instantaneously by generative AI, while at the same time taking into account security and ethical considerations.

Summary: In 2024, higher education technology is poised for significant developments. Artificial Intelligence (AI) takes center stage, with increased adoption expected in teaching, particularly for personalization and feedback. Ethical considerations surrounding AI in education will be a focal point, addressing privacy and fairness. Virtual Reality (VR) gains momentum, building on Arizona State University’s immersive VR labs. Classrooms evolve into high-tech spaces with upgraded projectors, increased video screens, and IoT-connected sensors for real-time data sharing. Hybrid learning continues to advance, with institutions transforming classrooms to enhance the hybrid and HyFlex learning experience.

Summary: AI is set to reshape education in 2024, focusing on trends such as professional development for educators, formal AI policy, open-source tool development, frameworks for teaching AI, AI literacy, AI-powered adaptive learning systems, and custom GPTs built by educators. The XQ Institute aims to transform high school learning by leveraging AI for dynamic, personalized education experiences. With policy shifts and advancements, educators are urged to navigate the AI ed tech market wisely, choosing tools aligned with ethical standards and enhancing learning.

Summary: In Spring 2023, Cornell formed a committee to explore the use of Generative AI in education. The committee’s report examines the feasibility, benefits, and limitations of integrating generative AI technologies in educational settings and their potential impact on learning outcomes. The report addresses concerns such as academic integrity, accessibility, ethical use, and suggests practical applications and pedagogical strategies. It emphasizes the importance of AI literacy, reflecting on personal attitudes, experimenting with AI tools, predicting student use, and setting clear parameters for their incorporation in courses.