Improving Teaching at Scale: Can AI Be Incorporated Into Professional Development to Create Interactive, Personalized Learning for Teachers?

Yasemin Copur-Gencturk, Jingxian Li, Sebnem Atabas
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Abstract

Scalable and accessible professional development programs have the potential to address the opportunity gap many teachers experience. Yet many asynchronous online programs lack interaction with and timely feedback to teachers. We addressed this problem by developing a virtual, interactive program that uses intelligent tutoring systems to provide just‐in‐time feedback to teachers. We conducted a randomized controlled trial with teachers across the United States in which teachers were assigned to either this program or no additional training. We found that teachers who completed our program ( N = 29) used mathematically richer tasks and created a more coherent, connected learning environment for students to build conceptual understandings than did teachers who were in the business‐as‐usual condition ( N = 23).
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大规模改进教学:能否将人工智能融入专业发展,为教师创造互动式个性化学习?
可扩展、可访问的专业发展项目有可能解决许多教师所经历的机会差距问题。然而,许多异步在线项目缺乏与教师的互动和及时反馈。为了解决这个问题,我们开发了一个虚拟互动项目,利用智能辅导系统为教师提供及时反馈。我们在全美教师中开展了一项随机对照试验,将教师分配到该项目或不进行额外培训的项目中。我们发现,与 "一切照旧 "条件下的教师(23 人)相比,完成我们项目的教师(29 人)使用了更丰富的数学任务,并为学生创造了一个更连贯、更有联系的学习环境,以建立概念理解。
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