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Notes On Artificial Intelligence, Brian Meyer
Notes On Artificial Intelligence, Brian Meyer
Current Issues in Emerging eLearning
From leveraging insights in data-driven marketing, to utilizing machine-learning algorithms for medicine, artificial intelligence has been seamlessly integrated in industry to optimize professional performance. While AI technologies attract their fair share of critics, their prevalence in the public domain attests to their profound potential, both as a tool for corporate transformation, and, more recently, as a means to enhance current, pedagogical practice. These notes explore coverage in the current literature regarding both concerns related to and the potential value of integrating AI technologies into the classroom to customize the learning experience through data-driven insights, to facilitate a more efficient allocation …
Troubling “Technologies”: Exploring The Global Learning Xprize Using The Frameworks Of Skinner And Foucault, Tanya Elias
Troubling “Technologies”: Exploring The Global Learning Xprize Using The Frameworks Of Skinner And Foucault, Tanya Elias
Current Issues in Emerging eLearning
This work focuses on the question: What might be wrong with large-scale approaches to learning? In posing this question, my purpose is not to suggest that large-scale approaches have no role to play within a complex educational landscape. Rather, I seek to introduce a starting point for more critical and nuanced approaches to achieving proper scale within digital learning, whether big and small. Organized around a series of stories from a train-ride home, I introduce a series of process-based “technologies” as defined by Skinner (1971) and Foucault (1988). After contrasting key concepts of Skinner and Foucault, I apply Foucault’s framework …