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Bibliografía: factores afectivos

Nº de publicaciones: 595
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How high-school pressure and autonomy support are linked to dual AI learning pathways: A cross-contextual SEM analysis
Shen Qinjie, Wynn Arunrugstichai (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative AI tools are rapidly becoming embedded in students' everyday learning, yet students' AI use varies from constructive support to compulsive dependence. Drawing on Self-Determination Theory and the Hook model, this study proposes a dual-pathway framework examining how retrospective reports of high-school learning climate relate to university students’ GenAI-use patterns and perceived AI-supported learning quality through motivational and behavioral relations. Using cross-sectional survey data from university students with different high-school backgrounds and current university contexts (overall N = 508; China-HS group n = 305 and non-China-HS group n = 203; China-Uni n = 193 and...

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The effectiveness of an AI-integrated VR oral training application in reducing public speaking anxiety and interview anxiety
Peiwen Huang, Yanling Hwang, Jui Ling Hsu (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Despite the growing importance of English oral communication skills, traditional language learning approaches show limited effectiveness in simultaneously addressing psychological barriers and speaking proficiency among college students. While previous studies have explored anxiety reduction or speaking enhancement separately, a significant gap exists in research examining integrated approaches that tackle Public Speaking Anxiety (PSA), Interview Anxiety, and English-speaking proficiency improvement simultaneously. This study investigated whether an AI-integrated VR oral training application could effectively address these interconnected challenges. A quasi-experimental design was employed...

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Using LLMs to bring evidence-based feedback into the classroom: AI-generated feedback increases secondary students’ text revision, motivation, and positive emotions
Jennifer Meyer, Thorben Jansen, Ronja Schiller (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Writing proficiency is an essential skill for upper secondary students that can be enhanced through effective feedback. Creating feedback on writing tasks, however, is time-intensive and presents a challenge for educators, often resulting in students receiving insufficient or no feedback. The advent of text-generating large language models (LLMs) offers a promising solution, namely, automated evidence-based feedback generation. Yet, empirical evidence from randomized controlled studies about the effectiveness of LLM-generated feedback is missing. To address this issue, the current study compared the effectiveness of LLM-generated feedback to no feedback. A sample of N = 459 upper secondary...

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Exploring non-traditional learner motivations and characteristics in online learning: A learner profile study
Andrew Zamecnik, Vitomir Kovanoviฤ‡, Srecko Joksimovic (2022)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The growth and uptake of educational technology has significantly reshaped the delivery of distance and online learning. With an unprecedented number of learners engaging with online modes of education, there is a growing need to understand the underlying student enrolment motivations, goals and learning behaviours evolving from a highly diverse student population. Research in learning analytics has advanced the use of digital data to understand student learning processes. However, there remains a limited understanding of how non-traditional learner characteristics, needs and motivational factors influence their learning behaviour and engagement strategies. Survey data from 232 students...

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Mediating and moderating roles of AI literacy: How it shapes the impacts of psychological resilience on work stress and job burnout among young university teachers in China
Weiwei Yin, Guofang Ren, Guowei Zhang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In the current context of China's higher education, work stress is a frequent challenge for young university teachers, often co-occurring with job burnout. This is a significant issue that is associated with both their teaching effectiveness and their career development. The purpose of this study is to explore the mediating roles of AI literacy and psychological resilience in the relationship between work stress and job burnout among young university teachers, as well as how AI literacy moderates the associations among work stress, psychological resilience, and job burnout of these young teachers. A nationwide survey was conducted, involving 411 university teachers. The main findings are as...

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How ChatGPT impacts student engagement from a systematic review and meta-analysis study
Yuk Mui Elly Heung, Thomas K.F. Chiu (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Generative artificial intelligence, such as ChatGPT, has been increasingly integrated into education to change student learning experience. Current empirical studies have mixed results on how ChatGPT impacts student behavioral, cognitive, and emotional engagement. This systematic literature review and meta-analysis explores whether and how ChatGPT impacts student behavioral, cognitive, and emotional engagement. We used the PRISMA method to select, analyze, and report the results. We screened 766 articles from four databases and identified 17 empirical studies with 1735 students for analysis. We compared the effect on student engagement between ChatGPT-based and non-ChatGPT learning. We...

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¿Es el aprendizaje del servicio valioso para la universidad de la especialización en español? Examinando la motivación, adquisición y actitud de los estudiantes en un curso de aprendizaje de servicio español
Stacy Anne Reynolds-Case (2020)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
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Tipo: artículo

Metodología: estudio empírico

Temas: aprendizaje-servicio

Resumen:

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Service learning courses have seen a sharp increase in a variety of disciplines in universities internationally. Language classes, in particular, enjoy the advantages of offering students exposure to the languages and cultures about which they are studying. With the rise in the number of Spanish speakers around the world, university instructors are realizing the benefits of using service learning (SL) as a means to connect students with the community while putting them in direct contact with the target language (Bettencourt, 2015). Because of the variations of Spanish spoken worldwide due to the diversity of Hispanic populations and cultures, educators can also observe whether students...

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The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

ChatGPT (generative pre-trained transformer) is one of the artificial intelligence (AI) technologies that have started to be used in programming education. However, the effect of using ChatGPT in programming education on learning processes and outcomes is not yet known. This study investigated the effect of programming education using the ChatGPT on students' computational thinking skills, programming self-efficacy, and motivation toward the lesson. The research was conducted on 45 undergraduate students who took a university-level programming course. The research was carried out according to the experimental design with the pretest-posttest control group. Students were randomly...

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Engagement in LLM chatbot-supported learning: The pivotal roles of GenAI competency and emotion
Xianhan Huang, Shiyu Zhang (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Student engagement, widely recognised as a key determinant of learning outcomes, warrants greater attention to its antecedent mechanisms for effective learning design. As LLM-based chatbots (hereafter chatbot) are increasingly used to support student learning, understanding what drives student engagement in such environments becomes especially important. Guided by appraisal theory, this study proposes a theoretically grounded model of students' engagement in chatbot-supported learning. Unlike prior studies that focus on isolated antecedents, the model integrates learners’ capacity appraisals, including technology-related (GenAI competency) and task-related (academic self-efficacy)...

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“ChatGPT is the companion, not enemies”: EFL learners’ perceptions and experiences in using ChatGPT for feedback in writing
Mark Feng Teng (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The present research was to bridge a research gap in comprehensively understanding students’ perceptions and experiences in utilizing ChatGPT for their writing process in English as a foreign language (EFL) context. The participants were 45 EFL learners in Macau. The study aimed to explore the potential impact of ChatGPT on writing, as well as their perceptions and experiences of ChatGPT in generating feedback for writing. A mixed-methods approach was employed, with quantitative data collected from a questionnaire and qualitative insights drawn from interviews conducted after a semester-long writing course. The findings supported the significant positive effects of AI assistance on writing...

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