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Teaching and Learning With Artificial Intelligence

Teaching and Learning With Artificial Intelligence
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Author(s): Libi Shen (University of Phoenix, USA), Irene Chen (University of Houston-Downtown, USA), Anne Grey (Concordia University, USA) and Anchi Su (UCLA, USA)
Copyright: 2021
Pages: 26
Source title: Impact of AI Technologies on Teaching, Learning, and Research in Higher Education
Source Author(s)/Editor(s): Shivani Verma (Km. Mayawati Government Girls P.G. College, India) and Pradeep Tomar (Gautam Buddha University, India)
DOI: 10.4018/978-1-7998-4763-2.ch005

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Abstract

Artificial intelligence (AI) is developing at a fast speed and has incessantly impacted the modern world for decades. AI technologies are beneficial for all kinds of industries, including businesses, economics, transportation, hospitals, schools, universities, and so forth. Many researchers have investigated the development of artificial intelligence in education (AIEd), specifically on how AI assists teaching, learning, assessment, references, and collaboration. Several questions arise. What impact do AI technologies have on education? How do AI technologies assist teaching (e.g., curriculum, assessment, student learning, and teaching practices)? How do teachers cope with AI Technologies in education? What are the ethical concerns of AI technologies? What are the barriers of AI-based learning in education? The purpose of this chapter is to explore the evolution and the challenges of AI technologies in education. Major research on AI from 1999 to 2019 will be reviewed. Problems with AI in education will be raised and solutions for solving the issues will be recommended.

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