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  • aprendizaje autónomo

Bibliografía: aprendizaje autónomo

Nº de publicaciones: 174
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The use of a personalized learning approach to implementing self-regulated online learning
Thanyaluck Ingkavara, Patcharin Panjaburee, Niwat Srisawasdi (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Nowadays, students are encouraged to learn via online learning systems to promote students' autonomy. Scholars have found that students' self-regulated actions impact their academic success in an online learning environment. However, because traditional online learning systems cannot personalize feedback to the student's personality, most students have less chance to obtain helpful suggestions for enhancing their knowledge linked to their learning problems. This paper incorporated self-regulated online learning in the Physics classroom and used a personalized learning approach to help students receive proper learning paths and material corresponding to their learning preferences. This study...

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From procrastination to engagement? An experimental exploration of the effects of an adaptive virtual assistant on self-regulation in online learning
Eduard Pogorskiy, Jens F. Beckmann (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

Compared to traditional classroom learning, success in online learning tends to depend more on the learner’s skill to self-regulate. Self-regulation is a complex meta-cognitive skill set that can be acquired. This study explores the effectiveness of a virtual learning assistant in terms of (a) developmental, (b) general compensatory, and (c) differential compensatory effects on learners’ self-regulatory skills in a sample of N = 157 online learners using an experimental intervention-control group design. Methods employed include behavioural trace data as well as self-reporting measures. Participants provided demographic information and responded to a 24-item self-regulation...

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Building AI companions that prioritise learning over performance
Hassan Khosravi, Dragan Gaševiฤ‡, Shazia Sadiq (2026)
Computers & Education: Artificial Intelligence
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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...

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Exploring the relationships among perceived AI ability, academic self-efficacy and independent learning disposition in the tertiary contexts
Lok Ming Eric Cheung, On-Ting Lo, Huiwen Shi (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As generative AI (GenAI) becomes increasingly embedded in higher education, this study examines how students' perceived AI ability (AIA) relates to their independent learning disposition (INL) and academic self-efficacy (ASE). We administered a quantitative survey to 302 undergraduate students in Hong Kong. Results indicated significant positive correlations among AIA, INL, and ASE. Mediation analysis further showed that INL mediates the association between AIA and ASE: students who perceive themselves as more capable with AI also report stronger independent learning dispositions, which in turn are linked to higher academic self-efficacy. We discuss the potential of AI tools to scaffold...

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University students’ self-reported reliance on ChatGPT for learning: A latent profile analysis
Ana Stojanov, Qian Liu, Joyce Hwee Ling Koh (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Although ChatGPT, a state-of-the-art, large language model, seems to be a disruptive technology in higher education, it is unclear to what extent students rely on this tool for completing different tasks. To address this gap, we asked university students (N = 490) recruited via CloudResearch to rate the extent to which they rely on ChatGPT for completing 13 tasks identified in a previous pilot study. Five distinct profiles emerged: ‘Versatile low reliers’ (38.2%) were characterised by low overall self-reported reliance across the tasks, while ‘all-rounders’ (10.4%) had high overall self-reported reliance. The ‘knowledge seekers’ (16.5%) scored particularly high on tasks such as content...

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Developing a gamified AI-enabled online learning application to improve students’ perception of university physics
Da Yang Tan, Chin Wei Cheah (2021)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Temas: inteligencia artificial

Resumen:

Texto completo

This article discusses the current progress of the on-going design efforts in creating an AI-enabled gamified web-based online learning application in the university introductory physics courses. The application aims to cater to the learning needs of students with diversity of the background, particularly students with little or weak background. The overall design architecture and principles are discussed, focusing on the rationale and design of the gamified elements that have been incorporated within the application, namely: (i) incremental difficulties, (ii) points and streaks, (iii) leaderboard, and (iv) gamified and animated user interface. Particularly, the gamified elements are...

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From AI anxiety to strategic regulation: How university students transform generative AI into a strategic learning resource
Eunjeo Kim (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study examined how university students engaged with generative AI as a strategic learning resource in academic writing tasks, with particular attention to the role of AI anxiety. Using an explanatory sequential mixed-methods design, survey data and post-task written reflections were collected from 107 university students. The quantitative analysis examined the relationships among AI anxiety, evaluative capacity, ethical awareness, and regulatory engagement, while the qualitative analysis explored how students described verifying, revising, selectively adopting, or rejecting AI-generated content during actual academic writing tasks. The findings showed that AI anxiety was positively...

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The shifting landscape of student engagement: A pre-post semester analysis in AI-enhanced classrooms
László Bognár, Myint Swe Khine (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid integration of AI-based tools in education calls for a critical assessment of how these technologies impact student engagement. This study explores the perceived effects of AI chat tools by analyzing pre- and post-semester survey data from 724 to 642 students, respectively, across diverse disciplines and demographic groups. Initially, students reported high levels of engagement in key areas such as academic self-efficacy, autonomy, interest, and self-regulation. However, by the semester's end, all these areas showed a noticeable decline. This suggests that while AI tools offer initial benefits, their long-term effectiveness in maintaining engagement may be limited due to...

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A case study of using Alexa for out-of-class, self-directed Japanese language learning
Gilbert Dizon, Daniel Tang, Yumi Yamamoto (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Intelligent personal assistants, otherwise known as virtual assistants, are artificial intelligence-powered conversational agents that utilize machine learning to understand and appropriately respond to user requests. In recent years, research interest on the use of this emerging technology for foreign language learning has increased. Several studies have examined the use of intelligent personal assistants for English as a foreign language learning. However, no study has studied intelligent personal assistants in the context of a non-English foreign language. Thus, this case study addressed this gap in the research by investigating the out-of-class, self-directed use of the intelligent...

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Effects of integrating an open learner model with AI-enabled visualization on students' self-regulation strategies usage and behavioral patterns in an online research ethics course
Jerry Chih-Yuan Sun, Hsueh-Er Tsai, Wai Ki Rebecca Cheng (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

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...

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