Artificial Intelligence in Education: A Review

Искусственный интеллект в образовании: обзор
Lijia Chen, Pingping Chen, Zhijian Lin
2020-01-01

artificial intelligence in educationeducational chatbotshumanoid robotsintelligent education systemspersonalized learning
The purpose of this study was to assess the impact of Artificial Intelligence (AI) on education. Premised on a narrative and framework for assessing AI identified from a preliminary analysis, the scope of the study was limited to the application and effects of AI in administration, instruction, and learning. A qualitative research approach, leveraging the use of literature review as a research design and approach was used and effectively facilitated the realization of the study purpose. Artificial intelligence is a field of study and the resulting innovations and developments that have culminated in computers, machines, and other artifacts having human-like intelligence characterized by cognitive abilities, learning, adaptability, and decision-making capabilities. The study ascertained that AI has extensively been adopted and used in education, particularly by education institutions, in different forms. AI initially took the form of computer and computer related technologies, transitioning to web-based and online intelligent education systems, and ultimately with the use of embedded computer systems, together with other technologies, the use of humanoid robots and web-based chatbots to perform instructors' duties and functions independently or with instructors. Using these platforms, instructors have been able to perform different administrative functions, such as reviewing and grading students' assignments more effectively and efficiently, and achieve higher quality in their teaching activities. On the other hand, because the systems leverage machine learning and adaptability, curriculum and content has been customized and personalized in line with students' needs, which has fostered uptake and retention, thereby improving learners experience and overall quality of learning.
1
AI platforms improve administrative efficiency and teaching quality by supporting tasks such as reviewing and grading student assignments.
2
Educational AI has evolved from computer-based technologies to web-based intelligent systems, embedded systems, humanoid robots, and chatbots.
3
Machine learning and adaptive technologies enable personalized curricula and content aligned with students’ needs.
4
Personalization facilitated by AI is associated with greater learner uptake and retention, improved learning experiences, and higher overall learning quality.
5
The review finds that artificial intelligence has been extensively adopted in education across administration, instruction, and learning.

Artificial Intelligence applications and systems in education (administration, instruction, and learning)

The impact and effects of AI on educational administration, instruction, and learning, including efficiency, personalization, student engagement, retention, and learning quality

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Publication Date
2020-01-01
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Authors
Lijia Chen
Pingping Chen
Zhijian Lin
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