Supporting Personalized Lifelong Learning with Human-Centered Artificial Intelligence Systems

Alireza Gharahighehi; Rani Van Schoors; Paraskevi Topali; Jeroen Ooge

Supporting Personalized Lifelong Learning with Human-Centered Artificial Intelligence Systems

Alireza Gharahighehi^*, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge

^*Corresponding author for this work

Sub Human-Centered Computing

Research output: Contribution to journal › Conference article › Academic › peer-review

Abstract

Technological advancements supported by artificial intelligence bring exciting promises for lifelong learning, including deeper insights into large datasets on learning processes, personalized recommendations, and automated scaffolding. Yet, the current rapid evolution can also cause skill gaps among educational stakeholders and often lacks a human-centered perspective. This paper discusses the opportunities and challenges of artificial intelligence for lifelong learning, focusing on three main facets: adaptivity for personalized learning, explainability and controllability of AI-supported learning systems, and human-centered learning analytics and AI. Drawing from our discussion of existing research, we suggest directions for future studies to further advance these areas.

Original language	English
Pages (from-to)	1-14
Number of pages	14
Journal	CEUR Workshop Proceedings
Volume	3836
Publication status	Published - 19 Nov 2024
Event	1st Workshop on Adaptive Lifelong Learning, ALL 2024 - Recife, Brazil Duration: 8 Jul 2024 → …

Bibliographical note

Publisher Copyright:
© 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Keywords

adaptive learning
explainable AI
human-AI interaction
human-centered design
lifelong learning

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Cite this

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title = "Supporting Personalized Lifelong Learning with Human-Centered Artificial Intelligence Systems",

abstract = "Technological advancements supported by artificial intelligence bring exciting promises for lifelong learning, including deeper insights into large datasets on learning processes, personalized recommendations, and automated scaffolding. Yet, the current rapid evolution can also cause skill gaps among educational stakeholders and often lacks a human-centered perspective. This paper discusses the opportunities and challenges of artificial intelligence for lifelong learning, focusing on three main facets: adaptivity for personalized learning, explainability and controllability of AI-supported learning systems, and human-centered learning analytics and AI. Drawing from our discussion of existing research, we suggest directions for future studies to further advance these areas.",

keywords = "adaptive learning, explainable AI, human-AI interaction, human-centered design, lifelong learning",

author = "Alireza Gharahighehi and {Van Schoors}, Rani and Paraskevi Topali and Jeroen Ooge",

note = "Publisher Copyright: {\textcopyright} 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 1st Workshop on Adaptive Lifelong Learning, ALL 2024 ; Conference date: 08-07-2024",

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AU - Gharahighehi, Alireza

AU - Van Schoors, Rani

AU - Topali, Paraskevi

AU - Ooge, Jeroen

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Y1 - 2024/11/19

N2 - Technological advancements supported by artificial intelligence bring exciting promises for lifelong learning, including deeper insights into large datasets on learning processes, personalized recommendations, and automated scaffolding. Yet, the current rapid evolution can also cause skill gaps among educational stakeholders and often lacks a human-centered perspective. This paper discusses the opportunities and challenges of artificial intelligence for lifelong learning, focusing on three main facets: adaptivity for personalized learning, explainability and controllability of AI-supported learning systems, and human-centered learning analytics and AI. Drawing from our discussion of existing research, we suggest directions for future studies to further advance these areas.

AB - Technological advancements supported by artificial intelligence bring exciting promises for lifelong learning, including deeper insights into large datasets on learning processes, personalized recommendations, and automated scaffolding. Yet, the current rapid evolution can also cause skill gaps among educational stakeholders and often lacks a human-centered perspective. This paper discusses the opportunities and challenges of artificial intelligence for lifelong learning, focusing on three main facets: adaptivity for personalized learning, explainability and controllability of AI-supported learning systems, and human-centered learning analytics and AI. Drawing from our discussion of existing research, we suggest directions for future studies to further advance these areas.

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KW - human-centered design

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T2 - 1st Workshop on Adaptive Lifelong Learning, ALL 2024

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ER -

Supporting Personalized Lifelong Learning with Human-Centered Artificial Intelligence Systems

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