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Learning outloud with Generative AI
					
 Jul 11, 2024 
 1:30PM to 3:30PM

									

				

					Event Categories   Online,   Session 2, and   Workshop
				

			


	

	

		

			

				

					

						

														

															

						

						

	

		


	Date/Time

	Date(s) - 11/07/2024
1:30 pm - 3:30 pm







Led by Karen Caldwell


SUNY Potsdam




Learning out loud (LOL) is an evidence-informed teaching and learning framework that harnesses internal and external processes and resources to make sense of to-be-learned content, including:


    

  • tools in our environment such as digital media, and
    • 

  • engagement with other perspectives and individuals.
    • 



Generative artificial intelligence (Gen AI) offers both a process and product for learning out loud. Because of its large language stores and adaptive, predictive communication capabilities, generative AI can be harnessed as an interactive tool in the sense making process.


In this workshop, participants will explore the LOL sense-making framework on an iterative passive-active-interactive continuum, framed by Chi’s ICAP framework (Chi & Wylie, 2014) and Fiorella and Mayer’s generative learning theory (Fiorella & Mayer, 2015). Amid information overload and an increasing role of digital media, LOL gives structure and guidance for educators and learners in learning journeys that are both individual and collaborative in both formal and informal learning environments.


Participants will connect and apply their own practice to examples of active and interactive sense-making stages of learning out loud:


    

  1. Motivation: conscious attention, focus
    2. 

  2. Exploration: reading, listening to, or watching the to-be-learned content, ideally with a purpose (motivation)
    3. 

  3. Comprehension and Retention: processing the to-be-learned content to establish understanding and memory
    4. 

  4. Connection- and Meaning-making: construction of meaning beyond the content, e.g., with prior knowledge, inferences, etc.
    5. 

  5. Extension: interactive collaboration and co-construction
    6. 



The fifth stage, what Chi and Boucher describe as the interactive mode, leads to deeper and more learning (Chi & Boucher, 2023, p. 97) due to the collaborative, reciprocal form of interaction along with outputs (products of learning) are generated collaboratively. Here, the affordances of generative AI become especially valuable, given that learners have established and articulated deeper levels of learning through the earlier iterative stages of sense making.


 




 


Karen Caldwell, EdD is a training, development and adult learning specialist weaving cognitive science, instructional design, and digital media into her practice. As an online instructor and faculty trainer in higher education business, instructional design, and educational technology programs (SUNY Potsdam), Karen engages her learners in hands on, minds on learning. Her learners harness digital media and applytcourse concepts to build connections in authentic contexts and solve complex, non-linear problems.


Karen’s applied research has led to development of her framework, Learning out Loud, based on cognitive science and adult learning principles, and her TEDx Talk?, outlines some central concepts. As a non-traditional, lifelong learner, Karen models the messy, non-linear processes of learning, teaching, and researching.