CMU-HCII-20-102 Human-Computer Interaction Institute School of Computer Science, Carnegie Mellon University
Adaptive Instruction: Nicholas Diana June 2020 Ph.D. Thesis
Engaging in productive civil discourse is a skill that needs to be explicitly taught, modeled, and practiced in the same way that students are taught and given opportunities to practice skills like finding the length of the hypotenuse or completing a Punnett square. Unfortunately, civic education often takes a backseat to so-called core subjects like math, science, and English. Learning about civics may be relegated to elective courses, and opportunities to practice civic reasoning skills only afforded to the members of the school's debate club. And even in these environments where we would expect civic education to be a central focus, the emphasis on argumentation and persuasion, while undoubtedly crucial to civi clearning, is insufficient and in some cases counter-productive to the type of dialogue thatengenders commonality and collective problem-solving. In contrast to the status quo, we developed and tested the impact of a novel civic education intervention designed to provide students with 1) a better understanding of the values that shape their own beliefs and the beliefs of others, 2) opportunities to practice overcoming the biases that are born out our pre-existing beliefs, 3) an understanding of what makes civil discourse productive and examples of model civil discourse, and 4)opportunities to practice the skills that underpin productive civil discourse. We found that student performance on key civil discourse skills (e.g., value-identification, tribalism reduction) improved with practice. We also demonstrate, for the first time, that an AI-powered educational game that adapts instruction to a student’s specific values can be used to measure and, in some cases, reduce the impact of bias when reasoning about political beliefs. In addition to direct applications in civic technology, this new, value-adaptive instruction has implications for systems designed to mitigate bias and augment human reasoning
XXX pages
Jodi Forlizzi, Head, Human-Computer Interaction Institute
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