Responsible Use of AI in College Teaching and Learning: A Literature Review
Keywords:
AI, college teaching, digital inequality, algorithmic bias, algorithmic fairness, algorithmic transparencyAbstract
This article explores the efficacy of AI used for teaching and learning tools. First, it examines three critical aspects of AI use in teaching and learning: AI complexity, algorithmic transparency, and AI bias. Second, it reviews recent literature that investigates the benefits and challenges of implementing AI within college classrooms. It proposes strategies for navigating the controversial aspects of AI tools and advocates responsible use of AI in teaching and learning in higher education.
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