Abstract
Artificial intelligence (AI) is bringing about enormous changes in everyday life and today’s society. Interest in AI is continuously increasing as many countries are creating new AI-related degrees, short-term intensive courses, and secondary school programs. This study was conducted with the aim of identifying the interrelationships among topics based on the understanding of various bodies of knowledge and to provide a foundation for topic compositions to construct an academic body of knowledge of AI. To this end, machine learning-based sentence similarity measurement models used in machine translation, chatbots, and document summarization were applied to the body of knowledge of AI. Consequently, several similar topics related to agent designing in AI, such as algorithm complexity, discrete structures, fundamentals of software development, and parallel and distributed computing were identified. The results of this study provide the knowledge necessary to cultivate talent by identifying relationships with other fields in the edutech field.
Highlights
Information technology (IT) is driving changes in society and leading to a new paradigm shift in national development across the globe
Artificial intelligence (AI) talent by 2022 according to the “AI Research & Development Strategy” of May 2018 [3]. These interests in AI from different countries are motivating talent cultivation. This is seen in the creation of AI degree programs at universities, the dedication of new colleges to AI, the design of new AI degree programs, etc
“0.95 < similarity” level, ten pairs were extracted from seven areas, and the NC (Networking and Communication) topic had the most pairs compared to other topics with three pairs
Summary
Information technology (IT) is driving changes in society and leading to a new paradigm shift in national development across the globe. Artificial intelligence (AI)-related research and talent cultivation are becoming the basis for national development, while emerging as a competitive edge. Through AI.gov, the United States has promoted AI research and development at the government level since February 2019 [1], and at the Future Strategy Innovation Conference in March 2019, Japan presented AI, quantization, and biotechnology as three strategic technologies that will lead. AI talent by 2022 according to the “AI Research & Development Strategy” of May 2018 [3]. These interests in AI from different countries are motivating talent cultivation.
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