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Artificial Intelligence for Personalized Learning in K-12 Education. A Scoping Review

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Higher Education Learning Methodologies and Technologies Online (HELMeTO 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2076))

Abstract

The ongoing evolution of Artificial Intelligence technology is able to influence different fields of human experience, also including communication and professional activities. Artificial Intelligence has been playing a relevant role in education and literature has already addressed the design, impact, and challenges of such technological solutions designed for educational purposes. On the other hand, technology integration, and especially the integration of solutions related to Artificial Intelligence, has started to exert a crucial function in enabling and enhancing Personalized Learning experience. In this regard, the present paper reports the results of a scoping review conducted with the aim of describing the empirical research evaluating the impact of Artificial Intelligence tools and systems as integrated in Personalized Learning approaches designed for K-12 education. The results shows that personalized solutions supported by Artificial Intelligence technology mainly consisted in Intelligent Tutoring Systems designed for online learning platforms and addressed STEM (especially Mathematics and Physics topics) and language learning. Overall, all the studies selected for the purposes of the current reviews reported a positive impact of the Artificial Intelligence-based personalized systems on students’ learning outcomes.

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Authors and Affiliations

  1. Institute for Educational Technology, National Research Council, via Ugo La Malfa 153, 90146, Palermo, Italy

    Vanessa Pitrella, Salvatore Perna, Mario Allegra, Manuel Gentile, Simona Ottaviano, Anna Re, Crispino Tosto & Giuseppe Città

  2. Dipartimento Chirurgico, Medico, Odontoiatrico e di Scienze Morfologiche con Interesse Trapiantologico, Oncologico e di Medicina Rigenerativa, Università di Modena e Reggio Emilia, via del Pozzo 71, 41124, Modena, Italy

    Vanessa Pitrella

Authors
  1. Vanessa Pitrella
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  2. Salvatore Perna
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  3. Mario Allegra
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  4. Manuel Gentile
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  5. Simona Ottaviano
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  6. Anna Re
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  7. Crispino Tosto
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  8. Giuseppe Città
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Corresponding author

Correspondence to Vanessa Pitrella .

Editor information

Editors and Affiliations

  1. University of Bari, Bari, Italy

    Gabriella Casalino

  2. Pegaso University, Naples, Italy

    Raffaele Di Fuccio

  3. National Research Council of Italy, Institute for Educational Technology, Palermo, Italy

    Giovanni Fulantelli

  4. eCampus University, Novedrate, Como, Italy

    Paolo Raviolo

  5. Alma Mater Studiorum University of Bologna, Bologna, Italy

    Pier Cesare Rivoltella

  6. National Research Council of Italy, Institute for Educational Technology, Palermo, Palermo, Italy

    Davide Taibi

  7. University of Foggia, Foggia, Italy

    Giusi Antonia Toto

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Pitrella, V. et al. (2024). Artificial Intelligence for Personalized Learning in K-12 Education. A Scoping Review. In: Casalino, G., et al. Higher Education Learning Methodologies and Technologies Online. HELMeTO 2023. Communications in Computer and Information Science, vol 2076. Springer, Cham. https://doi.org/10.1007/978-3-031-67351-1_25

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  • DOI: https://doi.org/10.1007/978-3-031-67351-1_25

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