Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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As artificial intelligence (AI) becomes increasingly integrated into K–12 education, concerns about equity and access have grown. This scoping review explores how inclusive AI curricula are designed, implemented, and evaluated in educational settings. Guided by three research questions, we analyzed 17 empirical studies published between 2013 and 2024, focusing on (1) the contexts and characteristics of inclusive AI curricula, (2) instructional strategies that promote broader participation, and (3) learning outcomes associated with these approaches. The findings reveal five key instructional principles (identity, technology, design, content development, and sense of belonging) alongside...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Recent advances in large language models have revitalized research on automated essay evaluation, yet critical concerns remain regarding their reliability, validity, and interpretability. This study presents a comparative analysis of five LLMs (GPT-4.1, Llama 4 Maverick, Gemini 2.5 Flash, Claude Sonnet 4, and DeepSeek R1) in the assessment of long English essays authored by non-native speakers in higher education. The analysis draws on LLM-generated scores for 60 essays to examine (a) intra-model reliability across repeated scoring runs, (b) the degree of alignment between model outputs and expert human ratings, and (c) causal feature dependencies that clarify how linguistic characteristics...

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