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lifelong learning

2 편

Photorealistic editorial photograph of older adults comparing hand-drawn and AI-assisted visions of learning while supportive design needs connect around them

학술지 논문2026

Drawings and interviews mapped how older adults imagined AI-supported learning

Shu Zhao, Congxin Wu, Ziqi Wang, Meizhao Guo, Xian Zhao

Smart Learning Environments

How older adults with different backgrounds conceptualize and respond to AI-supported learning. Hand drawings reflected life-based understandings, AI images were more structured, background characteristics related to content and style, and most participants described the tools as practical and were willing to use them. Prompting, tool design, coding choices, novelty, and a situated sample limit claims about all older adults or long-term adoption; demographic contrasts must not be treated as fixed deficits.

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older adult learningAI-generated drawingstechnology acceptance

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Photorealistic editorial photograph of one lifelong learner's episodes arranged as an auditable timeline of changing epistemic networks

학술대회 논문2021

학술대회 논문 29

Single-case ENA made one learner's long-term activity patterns open to contextual inspection

Luis P. Prieto, María Jesús Rodríguez-Triana, Tobias Ley, Brendan Eagan

2nd International Conference on Quantitative Ethnography (ICQE 2020)

What ENA contributes when learning analytics centers on one person's activity across a lifelong-learning case. The case illustrates how network views can surface internally meaningful contrasts and guide a return to episodes that would be obscured by population aggregation. One case cannot estimate population prevalence or general treatment effects, and apparent within-person change remains sensitive to coding, time boundaries, and the selected comparison periods.

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single-case analyticslifelong learningidiographic analysis

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