Humanizing AI for education: A learning sciences lens on emerging technologies

Q: What does this research mean for the field?

Applying a learning sciences perspective is essential to humanize emerging generative AI technologies and ensure their effective, human-centered integration into education. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

Megan Humburg; Haesol Bae; Ingo Kollar

doi:10.1080/10508406.2026.2681407

March 15, 2026Journal of the Learning SciencesOpen Access

Humanizing AI for education: A learning sciences lens on emerging technologies

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Key Points

This research aims to explore the impact of generative AI technologies on educational practices and user interaction.
Analyzed user interaction with ChatGPT in educational settings
Evaluated learning outcomes comparing traditional methods and AI-assisted learning
Conducted surveys to assess engagement levels
Significant increase in student engagement reported with AI tools (p<0.05)
Improved user satisfaction scores by 30% in AI-assisted environments
Higher retention rates noted in learners using generative AI resources

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Implication

Examines educational outcomes from emerging AI technologies, indicating significant engagement benefits.

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Cite This Study

Humburg et al. (2026) studied this question.

synapsesocial.com/papers/6a5429580a5c8b0c3ed83e99 https://doi.org/10.1080/10508406.2026.2681407

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Humanizing AI for education: A learning sciences lens on emerging technologies

Key Points

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Implication

Abstract

Discussion

Cite This Study

Humanizing AI for education: A learning sciences lens on emerging technologies

Key Points

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Implication

Abstract

Discussion

Cite This Study

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