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  • creencias y actitudes de los estudiantes

Bibliografía: creencias y actitudes de los estudiantes

Nº de publicaciones: 215
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The effect of student acceptance on learning outcomes: AI-generated short videos versus paper materials
Yidi Zhang, Margarida Lucas, Pedro Bem-haja (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The use of video and paper-based materials is commonly widespread in foreign language learning (FLL). It is well established that the level of acceptance of these materials influences learning outcomes, but there is lack of evidence regarding the use and related impact of videos generated by artificial intelligence (AI) on these aspects. This paper used linear mixed models and path analysis to investigate the influence of student acceptance of AI-generated short videos on learning outcomes compared to paper-based materials. Student acceptance was assessed based on perceived ease of use (PEU), perceived usefulness (PU), attitude (A), intentions (I), and concentration (C). The results...

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How do ChatGPT's benefit–risk-coping paradoxes impact higher education in Taiwan and Indonesia?
Ellis Mardiana Panggabean, Andri Dayarana K. Silalahi (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The integration of ChatGPT into higher education in Taiwan and Indonesia presents both opportunities and challenges. This integration creates a paradox of benefits and risks that must be carefully managed. While previous studies have explored ChatGPT's applications, its complexities in educational contexts remain partially unaddressed. This study bridges that gap by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with Protection Motivation Theory (PMT) to examine ChatGPT's role through a benefit–risk–coping mechanism. Data were collected from higher education users in Taiwan and Indonesia. Structural Equation Modeling (SEM) revealed distinct patterns in the two...

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Exploring student and teacher perceptions of ChatGPT use in higher education: A Q-Methodology study
Alma S. Espartinez (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study examined and categorized the views of students and teachers in Philippine Higher Education Institutions (HEIs) and correlated those with similar patterns of views regarding ChatGPT usage. While previous studies explored ChatGPT's risks and benefits, a significant gap remains in understanding how college students and educators perceive this technology for its culturally relevant and equitable integration into teaching and learning. Using Q-Methodology, 27 participants (15 students and 12 professors) were surveyed, interviewed, and invited to rank-order 36 statements about using ChatGPT. Three factors emerged from using factor analysis: Ethical Tech Guardians, Balanced Pedagogy...

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Las creencias de aprendizaje de principiantes brasileños sobre la escritura en la adquisición del E/LE
Idelso Espinosa Taset (2008)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: creencias y actitudes de los estudiantes

Resumen:

Texto completo

Este artículo pretende resumir un estudio de las creencias de aprendizaje de lenguas de diecinueve estudiantes brasileños de E/LE sobre la importancia de la escritura como medio y objeto de adquisición, la actitud que asumen ante las tareas de esta naturaleza, las estrategias que consideran apropiadas para aprender a escribir en español y la relación entre sus creencias y acciones. Estos sujetos –todos graduados universitarios que ya habían estudiado una LE- respondieron a dos cuestionarios híbridos; fueron entrevistados y observados en clase. Los resultados sugieren que sus sistemas de creencias conforman una actitud de desdén hacia las tareas de escritura, a pesar de lo cual responden...

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ChatGPT in higher education learning: Acceptance and use
Akhmad Habibi, Muhaimin Muhaimin, Bernadus Kopong Danibao (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This paper examines the determinants that drive ChatGPT use in learning among Indonesian Higher Education Institutions (HEIs) students. A proposed model based on the unified theory of acceptance and use of technology model-2 (UTAUT2) was used in the context of the study. A pilot study was done prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1117 responses were analyzed through Partial Least Square Structural Equation Modeling (PLS-SEM) and Importance-Performance Analysis (IPMA). Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of Behavioral Intention (BI) to...

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Perceived MOOC satisfaction: A review mining approach using machine learning and fine-tuned BERTs
Xieling Chen, Haoran Xie, Di Zou (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigates the application of machine learning and BERT models to identify topic categories in helpful online course reviews and uncover factors that influence the overall satisfaction of learners in massive open online courses (MOOCs). The research has three main objectives: (1) to assess the effectiveness of machine learning models in classifying review helpfulness, (2) to evaluate the performance of fine-tuned BERT models in identifying review topics, and (3) to explore the factors that influence learner satisfaction across various disciplines. The study uses a MOOC corpus containing 102,184 course reviews from 401 courses across 13 disciplines. The methodology involves...

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Using ChatGPT for second language writing: Experiences and perceptions of EFL learners in Thailand and Vietnam
Joel C. Meniado, Duong Thi Thu Huyen, Nopparat Panyadilokpong (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study explored the experiences and perceptions of Thai and Vietnamese EFL learners regarding the use of ChatGPT for second language (L2) writing. It aimed to contribute to the ongoing discourse on using generative Artificial Intelligence (GAI) tools to enhance L2 writing skills. Utilizing a mixed-methods research design with quantitative data gathered from 357 survey respondents from three educational institutions in Thailand and Vietnam and qualitative data from 16 interviewees from the same group of respondents, this study found that ChatGPT was perceived positively for L2 writing. Participants in the study found it a valuable tool for L2 writing, where its ability to generate ideas...

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Modelling generative Al's influence on students' perceived decision capability: A cognitive load and decision augmentation approach
Jaskirat Singh Rai, Sakshi Kathuria, Harpominder Kaur (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

There is a resonant association between the implementation of Generative Artificial Intelligence (GenAI) and students’ ability to identify, analyse, and select the best options among alternatives. Accordingly, this study examines the impact of GenAI adoption on business students' perception of their decision-making capability through the lenses of decision augmentation theory (DAT) and cognitive load theory (CLT). A survey was administered to 350 business college students in the United Arab Emirates. Using structural equation modelling, the study examined key constructs, including cognitive load reduction, information quality, and decision confidence as mediators, and GenAI trust as a...

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The impact of adopting AI educational technologies on projected course satisfaction in university students
Paul Rodway, Astrid Schepman (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) applications for education are being developed at an increasing pace. It seems reasonable to assume that these applications would enhance student experiences and course satisfaction, and that therefore educational institutions should invest in these technologies to enhance their student offer. However, this should be tested empirically. In the current study a gender-balanced sample of 302 UK students rated course satisfaction, completed the General Attitudes towards AI Scale (GAAIS), comfortableness with AI educational applications, and course satisfaction if AI educational applications were adopted. Although students were, on average, moderately comfortable...

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Can students judge like experts? A large-scale study on the pedagogical quality of AI and human personalized formative feedback
Tanya Nazaretsky, Hagit Gabbay, Tanja Käser (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

While feedback is essential for guiding student learning, providing timely and personalized guidance in large-scale educational settings remains a significant challenge. Generative AI offers a scalable solution, yet little is known about students’ perceptions of AI-generated feedback. In this paper, we aim to investigate how the identity of the feedback provider (human vs. AI) affects students’ ability to assess feedback quality and whether their judgments are biased. We propose a comprehensive rubric for assessing the pedagogical quality of formative feedback. We use it to compare the objective quality of AI-generated and human-crafted feedback (N = 979). Next, using data collected from...

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