Luigi Lomasto, Alessandro Daniele, Giuseppe Nappi


Artificial intelligence has become an integral part of everyday life, changing and conditioning the use of many digital applications. This transformation has affected many sectors, including education. The main objective of this short article is to identify the benefits of applying artificial intelligence in the educational context. This application can cover several points such as the suggestion of personalized educational content, the identification of innovative and specific teaching methods, the best association between teacher-student based on their profiling. The analysis of these points and the application of these technologies has as its purpose the improvement of the e-learning and MOOC sector, able to offer educational paths more and more specific and suitable to the various needs required by students.

Parole chiave

Education, Didattica

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Riferimenti bibliografici

al, K. M. (2016). Personalised education: From curriculum to career with cognitive systems.

al., S. M. ( 2017). Evaluating the effectiveness of educational data mining techniques for early prediction of students’ academic failure in introductory programming courses . Comput. Human Behav.

C., N. ( 2016). Can AI fix education? We asked Bill Gates. The Verge.

D, W. (2013). A problem solving oriented intelligent tutoring system to improve students’ acquisition of basic computer skills. AI Mag.

J., L. ( 2016). Robots for Education . IFAC-PapersOnLine.

K., V. L. (2011). The relative effectiveness of human tutoring, intelligent tutoring systems, and other tutoring systems . Educational Psychologist.

Lomasto, L. (s.d.). An Automatic Text Classification Method Based on Hierarchical Taxonomies, Neural Networks and Document Embedding: The NETHIC Tool. ICEIS 2019.

Miller, D. (s.d.). Leveraging BERT for Extractive Text Summarization on Lectures. arxiv.

Steenbergen-Hu S., C. H. (2014). A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning. J. Educ. Psychol. .

Stone, P. (2016). Artificial Intelligence and Life in 2030. Art. Intell. Rep.

Toti, D. (2021). CAERS: A Conversational Agent for Intervention in MOOCs’ Learning Processes. Spinger.

Wang, P. ( 2018). Chao: A framework for the development of orchestration technologies for learning activities using tablets in classrooom. Int j. Technol. Enhanc Learn.



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