From data to action: how AI and learning analytics are shaping the future of distance education

Dias, João Tiago; Santos, Arnaldo; São Mamede, Henrique

http://hdl.handle.net/10400.2/21343

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Autores

Dias, João Tiago

Santos, Arnaldo

São Mamede, Henrique

Resumo(s)

This chapter examines how Artificial Intelligence (AI) and Learning Analytics (LA) are transforming distance education, accelerated by the COVID-19 shift to e-learning. By using data from Learning Management Systems (LMS), these technologies can personalize learning, improve student retention, and automate tasks. AI, particularly machine learning, enables dynamic adaptation to student needs, while LA provides valuable insights for informed instructional decisions. However, ethical concerns, including data privacy and algorithmic bias, must be addressed to ensure equitable access and fair learning outcomes. The future of distance learning lies in responsible integration of AI and LA, creating immersive and inclusive educational experiences.

Palavras-chave

Artificial Intelligence (AI) Learning Analytics (LA) Distance education Personalized learning E-learning Learning Management Systems (LMS) Educational Data Mining (EDM) Intelligent tutoring systems Predictive analytics

URI

http://hdl.handle.net/10400.2/21343

DOI

10.4018/979-8-3693-7195-4.ch010

Coleções

UAb | CiênciaVitae | Informática e Sistemas de Informação

Licença CC

Sem licença CC

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