Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

This study seeks to understand the effects of a personalized learning platform, which applied an open learner model with self-regulation and AI-enabled data visualization features, on students' self-regulated learning strategies used and behavioral patterns during their self-directed online learning process. Results were based on a self-regulated learning scale and a prior knowledge test from 182 university students and supplemented with students' system logs to understand their behavioral patterns while interacting with the personalized learning platform. It showed that the combined self-regulation and data visualization features (dual features) improve student performance via self...

Ver ficha completa

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative AI, currently most visible in education through large language models (LLMs), is increasingly embedded in students’ everyday learning practices, supporting tasks such as writing, coding, reasoning, and analysis. Yet its educational value remains uncertain because systems designed to improve immediate task performance may also weaken the cognitive and metacognitive processes that support durable learning. This paper addresses this learning–performance paradox by asking how AI systems can be designed to support learning rather than merely produce better outputs. To address this, in this paper, we make three contributions. First, we synthesise current LLM-based study support with...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The increasing integration of Artificial Intelligence (AI) within educational contexts is fostering significant pedagogical shifts, with flipped learning concurrently gaining prominence as a dynamic, student-centered instructional model. Despite their individual merits, there remains a paucity of empirical research on the synergistic effects when AI enhances flipped learning, particularly concerning crucial EFL learner variables such as metacognitive awareness, writing development, and foreign language boredom. This study, therefore, aimed to address this gap by examining the impact of an AI-enhanced flipped learning environment. To this end, a quasi-experimental design was implemented...

Ver ficha completa

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

With the rapid integration of generative AI (GenAI) into higher education, concerns over cognitive offloading, overreliance, and diminished critical thinking underscore an urgent need to prioritize learning-to-learn (L2L) competencies. However, the lack of a clear and detailed conceptualization of L2L, a key 21st-century skill for lifelong learning, hinders interdisciplinary research and limits the development of informed, pedagogically sound AI applications. This paper presents a scoping review of L2L definitions within pedagogical and psychological literature, based on sources retrieved from ERIC, Scopus, and Web of Science. The review follows the PRISMA-ScR framework and identifies 21...

Ver ficha completa

Tipo: artículo

Metodología: propuesta didáctica

Temas: comprensión lectora

Resumen:

Texto completo

En este artículo se aborda la enseñanza explícita de las estrategias de lectura para desarrollar en los estudiantes competencias metacognitivas que mejoren su rendimiento en la comprensión de lectura. Con el objetivo de formar lectores más autónomos y capaces de regular sus procesos cognitivos, esta investigación presenta una estrategia linguodidáctica llamada “enseñanza estratégica,” que se basa en la metacognición para mejorar la enseñanza de la comprensión de lectura en las clases de Lengua Francesa de la Facultad de Lenguas Extranjeras de la Universidad de la Habana. La enseñanza estratégica permitiría al estudiante adquirir no solo conocimientos metalingüísticos, sino también procesos...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study examines how generative AI can support middle school scientific inquiry in a rural agriculture-STEM classroom. Using a mixed-methods design with concurrent data collection and sequential analytic integration, we analyzed 42 eighth-grade students, organized into 12 groups, as they used Aspen, a custom AI chatbot, to revise scientific research questions and hypotheses around a sustainable agriculture problem. Data sources included group project journals, AI interaction logs, and peer discussion transcripts. First, a two-dimensional profiling method categorized the 12 groups into four analytic profiles: Struggling, Most Improved, Perfectionists, and High Achievers, based on initial...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study addresses the gap between the theoretical framework of Generative Artificial Intelligence (GenAI) literacy and its practical development, by investigating how university students in the humanities acquire and refine GenAI-related knowledge, skills, and attitudes. Through a 16-week intervention structured into three progressive phases, 16 students engaged with multiple GenAI tools while developing competencies in research and academic writing. The data collection included structured GenAI dialogues, periodic questionnaires, reflective assignments, and in-depth interviews. The findings revealed three interconnected dimensions of GenAI literacy development. Students internalized and...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Large language models (LLMs) are transforming higher education, yet their learning benefits likely depend on students’ AI literacy and how they prompt and verify AI outputs. This mixed-methods study investigates how AI literacy relates to prompting proficiency and verification behavior, and how these behaviors operate through two mechanisms, trust calibration and extraneous cognitive load, to predict coursework performance across two discipline–institution contexts in Thailand. The author surveyed Design students (n = 221) and Business students (n = 222) and analyzed the data using multigroup structural equation modeling, complemented by thematic analysis of semi-structured interviews....

Ver ficha completa

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

Hybrid systems combining artificial and human intelligence hold great promise for training human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and illustrate this with an example of a first prototype of a Hybrid Human-AI Regulation (HHAIR) system. HHAIR supports self-regulated learning (SRL) in the context of adaptive learning technologies (ALTs) with the aim to develop learners' self-regulated learning skills. This prototype targets young learners (10–14 years) for whom SRL skills are critical in today's society. Many of these learners use ALTs to learn mathematics and languages every day in school. ALTs optimize learning based on learners' performance data,...

Ver ficha completa

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Effective feedback is a central component of successful student learning, with extensive research examining how best to implement it in educational settings. Increasingly, feedback is being generated by artificial intelligence (AI), offering scalable and adaptive responses. Two widely studied approaches are directive feedback, which gives explicit explanations and reduces cognitive load to speed up learning, and metacognitive feedback which prompts learners to reflect, track their progress, and develop self-regulated learning (SRL) skills. While both approaches have clear theoretical advantages, their comparative effects on engagement, confidence, and quality of work remain underexplored....

Ver ficha completa