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Bibliografía: factores afectivos

Nº de publicaciones: 595
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Affective computing in online higher education: A systematic literature review
Krist Shingjergji, Deniz Iren, Corrie Urlings (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Although affective states play a crucial role in education, they are often difficult to communicate and observe in online learning environments. This challenge has led to growing research on systems that can automatically detect affective states. This systematic literature review used PRISMA to analyze 96 studies on affective computing in online higher education, published between 2019 and 2024. The findings show that the most frequently studied affective states include learning-centered states, such as engagement, confusion, frustration, sentiment, as well as basic emotions, such as happiness, anger, sadness, surprise, and fear. Terminology often overlaps, and basic emotions are commonly...

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“Your argumentation is good”, says the AI vs humans – The role of feedback providers and personalised language for feedback effectiveness
Theresa Ruwe, Elisabeth Mayweg-Paus (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Argumentative writing is an important skill for (future) teachers, and this skill can be promoted with feedback. For such feedback to be effective, certain social and non-cognitive aspects must be considered. Building on this, our study investigated the influence of different feedback providers and language styles on learners’ motivation, emotions, self-efficacy, and perceptions about the provider and the feedback. A total of N = 98 German student teachers participated in the 3 (feedback provider: artificial intelligence (AI) vs educator vs peer) × 2 (feedback language: personalised vs neutral) experimental between-subjects design. Results showed that student teachers ascribed an AI,...

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Modeling the structural relationship among primary students’ motivation to learn artificial intelligence
Pei-Yi Lin, Ching Sing Chai, Morris Siu-Yung Jong (2021)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The recent advances in artificial intelligence (AI) present both challenges and opportunities for educational practitioners. A new AI curriculum has been developed and piloted in many primary schools in Beijing, China. The present study had two aims: (1) to test the factor structure of students’ motivation to learn AI and (2) to examine possible gender differences in students’ motivation to learn AI. This online questionnaire–based research recruited 420 primary students from the piloting schools. Structural equation modeling was employed to test a hypothesized model comprising six motivational factors and strategies: (1) intrinsic motivation, (2) career motivation, (3) attention, (4)...

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Integrating flipped learning in AI-enhanced language learning: Mapping the effects on metacognitive awareness, writing development, and foreign language learning boredom
Ehsan Namaziandost (2025)
Computers & Education: Artificial Intelligence
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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...

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AI-assisted audio-learning improves academic achievement through motivation and reading engagement
Nanda R. Jafarian, Anne-Wil Kramer (2025)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence (AI) is transforming education by enabling the creation of innovative learning resources that may cater to diverse learning needs. Students with common forms of neurodiversity, such as ADHD, often face unique challenges in higher education that are not adequately addressed by current educational resources. One potentially helpful resource is audio content, which provides a flexible and accessible supplement to traditional educational materials. While audio content, such as podcasts, is widely popular, its effect on academic achievement remains underexplored. This pre-registered randomized controlled trial investigated the impact of AI-assisted audio-learning modules...

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El efecto del cariz emocional en el aprendizaje lexico de la L2
Maria Turrero-Garcia, Andie Faber (2018)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
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Tipo: artículo

Metodología: estudio empírico

Temas: factores afectivos

Resumen:

Texto completo

Estudios anteriores han revelado que las palabras con contenido emocional tienen un efecto facilitador para la memoria de los hablantes tanto de primera como de segunda lengua (Rubin & Friendly, 1986; Anooshian & Hertel, 1994; Altarriba & Bauer, 2004; Ayiçiçegi-Dinn & Caldwell-Harris, 2009). Este estudio investiga cómo el cariz emocional de una historia, activado a través de señales audiovisuales, afecta la adquisición de elementos léxicos nuevos en hablantes de español como segunda lengua. Los resultados de una tarea de Asignación de Imagen y una de Nombramiento sugieren que los contextos emocionales positivos tienen un efecto facilitador para el reconocimiento y posterior...

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Generative AI-assisted workflows in architectural conceptual design: Performance, creative self-efficacy, and cognitive load
Yao Xiao, Han Jiang, Rachel Hurley (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative AI (GenAI) is increasingly adopted in design education, yet evaluating its educational value through final outcomes provides an incomplete picture. This study compares two ecologically plausible workflows in an architectural conceptual design task: GenAI-assisted image generation and ArchDaily-based precedent search. The comparison concerns complete workflows rather than the isolated contributions. Thirty-six students completed a two-phase design task, first designing independently and then revising with their assigned workflow. Screen-recording demonstrated active engagement in both conditions. Eight judges rated design performance, while participants reported task-specific and...

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Conversation-based assessment: A novel approach to boosting test-taking effort in digital formative assessment
Seyma N. Yildirim-Erbasli, Okan Bulut (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

Conversational agents such as chatbots have recently gained a lot of traction in various industries, including education, marketing, and healthcare. In K–12 and higher education, conversational agents have been used to boost student learning and motivation. Recently, new applications of conversational agents, such as conversation-based assessments, have emerged in the context of educational assessments. Such applications aim to enhance students' assessment experiences through the use of conversational agents in administering items (or tasks) and providing feedback to students. To discuss the utility of conversational agents in assessments, this paper puts a special emphasis on test-...

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Modeling generative AI adoption in higher education: An integrated TAM–TPB–SDT framework with SEM validation
Dina Tbaishat, Omar AlFandi, Faten Hamad (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigates the determinants of university students' adoption of generative artificial intelligence (GAI) tools in higher education. Integrating the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and Self-Determination Theory (SDT), it develops and tests a complete model that captures cognitive, social, and motivational influences on adoption. A cross-sectional survey was conducted among 517 undergraduate and postgraduate students at Jordanian universities. The data were analyzed using structural equation modeling (SEM) with a two-step approach: confirmatory factor analysis (CFA) to validate the measurement model, followed by SEM to test the...

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Evaluating the AI dialogue System's intercultural, humorous, and empathetic dimensions in English language learning: A case study
Chunpeng Zhai, Santoso Wibowo, Lily D. Li (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rise of artificial intelligence (AI) technologies has been notable in supporting English as an Additional Language (EAL) learners, particularly in offering interactive assessments. AI-driven dialogue systems that produce culturally relevant humor and empathy, bridging the native language (L1) and the target language (L2), have been employed to engage EAL learners more effectively and boost their learning results. However, there's a noticeable gap in research concerning the fusion of humor, empathy, and intercultural dimensions in language learning. Intercultural dimensions encompass acquiring crucial knowledge, communication skills, and the values essential for meaningful interactions...

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