Digitized Education: Enhancement in Teaching and Learning – China Case Study

Digitized Education: Enhancement in Teaching and Learning – China Case Study

Poshan Yu, Yao Lu, Emanuela Hanes, Haiyue Gu
Copyright: © 2022 |Pages: 35
DOI: 10.4018/978-1-6684-4083-4.ch001
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Abstract

This chapter aims to investigate the impacts of digitalization on China's education sector, under the influences of both the COVID-19 pandemic and the new national education policy. It will capture the changing relationships between the booming artificial intelligence (AI) sector and China's rapidly developing education market. In addition, this chapter examines how the new double reduction policy in China transforms China's elementary school by analyzing a case in Shanxi, China. By analyzing the data on Web of Science (WoS) and China National Knowledge Infrastructure (CNKI) with CiteSpace, this chapter will also critically discuss the effects of the COVID-19 pandemic. In addition, this chapter will present the findings of a questionnaire about the impact of online education on teaching and learning. This chapter contributes to the field by providing an overview of China's current situation in education.
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Literature Review – Ai Development, Teaching And Teachers, Educational Digitalization, Exam-Oriented Education Vs Quality-Oriented Education, Online Education, Education Under Covid-19 Pandemic

  • 1.

    AI development

AI is actually a process of simulating people’s thinking and consciousness (Wang et al., 2018). It was first put forward by a group of visionary young scientists, led by McCarthy, Minsky, Rochester and Shannon in 1956. AI is like giving a machine a human brain, qualifying the machine to think and create independently (Gong, 2021). Unlike the human brain, its computing speed and amount of memory are superior to those of human beings (Schiavoni and Gonçalves, 2017). Its purpose is to explore the essence of intelligence and make use of it to develop an intelligent machine with analysis, thinking, judgment and even perception skills like the human brain, so as to reduce the workload of human beings (Kaimal et al., 2020). In general, AI technology mainly includes robot, language recognition, image recognition, natural language processing and expert systems (an intelligent computer programming system) (Gong, 2021).

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