DOI
https://doi.org/10.3389/fpsyg.2020.580820

Summary
The current status, opportunities, and challenges of integrating artificial intelligence (AI) and big data in education is presented in this paper. The article covers the ideas of experts in various fields, such as education, psychology, data science, AI, and others. The authors claim that there is a gap between the current technologies and educational approaches. Thus, they present how big data technology and AI can be adopted in education from the perspectives of research, industry, and policy-making. From the research point of view, the applications are mainly focused on personalized learning paths. The policy-making perspective is concentrated on data protection and ethical issues. In addition, the industry aims to commercialize AI educational tools and systems that use the state-of-the-art pedagogical approaches. The authors list the main challenges that occur in introducing AI and big data to education. The challenges include the rapid change of pedagogical approaches and adaptation to them, maintaining healthy market competition in the field of educational tools, and others. It is concluded that although the adoption of AI and big data technologies in education are still challenging, they change the learning and teaching environment towards pursuing sustainability.

Relevance for Complex Systems Knowledge
The authors describe the general background, core progress and recent progress in application of artificial intelligence (AI) and big data in educational environment.
The ideas presented in this article are related to complex systems in two ways. Firstly, the authors state that application of (AI) methods and tools such as personalized educational environment, virtual or augmented reality enables students to solve complex problems which correspond to their competence level. They also emphasize the importance of interdisciplinarity as AI can be applied in different subject. Secondly, the personalized learning environment can be viewed as a complex system by itself as it incorporates different disciplines (AI, educational psychology, others), collaboration of academy and industry. The collaboration of academy and industry enables students to develop competences and skills which are required in labor market. In addition, the defined pedagogical tool uses complex data to assess students and evaluate their engagement to the subject or the provided activities.

Point of Strength
The strength of the article is a provided analysis on how artificial intelligence and big data can be applied for the effective and personalized learning. The idea is that the conventional learning is designed for average students and application of personalized environments enables students to solve complex problems which correspond to their competence level.