2023
DOI: 10.1037/mac0000146
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Understanding early learning in an evolving digital media landscape.

Koeun Choi
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Cited by 1 publication
(3 citation statements)
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“…This automation eliminates the need for considerable manual development, enabling for the provision of diversified and personalized content based on users' specific needs and preferences [13]. For example, AI-driven content generation can be used to create educational modules that adjust to students' learning paces, as well as individualized virtual tours in tourism and cultural heritage protection [14,15]. This functionality ensures that consumers may obtain relevant and entertaining content.…”
Section: Related Workmentioning
confidence: 99%
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“…This automation eliminates the need for considerable manual development, enabling for the provision of diversified and personalized content based on users' specific needs and preferences [13]. For example, AI-driven content generation can be used to create educational modules that adjust to students' learning paces, as well as individualized virtual tours in tourism and cultural heritage protection [14,15]. This functionality ensures that consumers may obtain relevant and entertaining content.…”
Section: Related Workmentioning
confidence: 99%
“…AI-powered systems may adapt to users' behaviors and preferences, resulting in more intuitive and engaging interactions. This versatility is critical for applications that demand a high level of user involvement and reactivity, such as treatment, education, and training [15,19]. For example, in therapeutic VR applications, AI can tailor scenarios to the user's emotional and physical responses, resulting in a more personalized and effective therapeutic experience [20,21].…”
Section: Related Workmentioning
confidence: 99%
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