成长心态教学的自助AI导师

A. Abduljabbar, Nikhil Gupta, L. Healy, Y. Kumar, J. J. Li, Patricia Morreale
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引用次数: 1

摘要

推荐系统是我们日常生活的一部分。我们已经习惯了看到关于看什么视频、买什么产品、安装什么应用程序、吃什么食物的建议。我们假设这些个性化建议是准确的,因为它们是基于我们的个人资料、保存的历史、位置、实际和在线活动以及其他因素。在本文中,我们提出了一个创新的推荐系统的应用。我们创建了一个带有推荐技术的自助式人工智能导师,在向更广泛、更包容的受众教授计算机科学时,鼓励一种成长心态。人工智能导师使用我们内部的人工智能/机器学习算法来检测并提供建设性的、鼓舞人心的反馈,以促进学生的成长心态,从而在学生中产生积极的学习成果。我们训练我们的应用程序,通过评估文本、音频/视频记录和现场演讲中的成长性思维,来检测成长性思维在计算机科学教学中的使用情况。该应用程序还经过培训,可以根据成长型思维模式为改进计算机科学教学提供建议。我们的人工智能导师通过免费的在线平台进行推广和广泛适应,将帮助全球的计算机科学教师。
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A Self-Served AI Tutor for Growth Mindset Teaching
Recommender systems are a part of our everyday life. We are accustomed to see suggestions of what videos to watch, what products to buy, what apps to install, and what food to eat. We assume that these personalized suggestions are accurate because they are based on our personal profile, saved history, location, physical and online activities, and other factors. In this paper, we present an innovative application of a recommender system. We created a self-served AI tutor with recommender technologies that encourages a Growth Mindset when teaching Computer Science to a broader and inclusive audience. The AI tutor uses our in-house AI/ML algorithms to detect and provide constructive, encouraging feedback to facilitate Growth Mindset in students, which in turn yields positive learning outcomes in said students. We trained our app to detect Growth Mindset utilization in Computer Science teaching, through evaluating the Growth Mindset presence in text, audio/video recordings and live speeches. The app was also trained to generate recommendations for improving Computer Science teaching in terms of Growth Mindset. The promotion and widely adaptation of our AI tutor through a free online platform will help Computer Science teachers globally.
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