International Journal of Artificial Intelligence in Education · 2022 · 114 citations · 53 references
ComputingComputer ScienceHistoryArtificial IntelligenceArtificial Intelligence In EducationMachine LearningCognitive ScienceHistory Of EducationArtificial Intelligence EducationHuman-ai Collaboration In LearningLearningMachine Understanding
Abstract In this paper, I argue that the fields of artificial intelligence (AI) and education have been deeply intertwined since the early days of AI. Specifically, I show that many of the early pioneers of AI were cognitive scientists who also made pioneering and impactful contributions to the field of education. These researchers saw AI as a tool for thinking about human learning and used their understanding of how people learn to further AI. Furthermore, I trace two distinct approaches to thinking about cognition and learning that pervade the early histories of AI and education. Despite their differences, researchers from both strands were united in their quest to simultaneously understand and improve human and machine cognition. Today, this perspective is neither prevalent in AI nor the learning sciences. I conclude with some thoughts on how the artificial intelligence in education and learning sciences communities might reinvigorate this lost perspective.
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On Two Metaphors for Learning and the Dangers of Choosing Just One
Anna Sfard · Educational Researcher · 1998 · 3.6K citations
Quantitative Analysis of Culture Using Millions of Digitized Books
Jean-Baptiste Michel, Yuan Shen, Aviva Presser Aiden et al. · Science · 2010 · 3.1K citations · Full text
Humanities, Cultures, Linguistics +10