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  • 2025

Bibliografía: 2025

Nº de publicaciones: 636
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Style, sentiment, and quality of undergraduate writing in the AI era: A cross-sectional and longitudinal analysis of 4,820 authentic empirical reports
Matthew H.C. Mak, Lukasz Walasek (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As generative artificial intelligence (GenAI) becomes widespread in education, its influence on students' academic practice raises concern. We conducted pre-registered analyses of 4820 empirical reports authored by 2000 psychology undergraduates (2016–2025) to examine how ChatGPT's launch in November 2022 may influence the style, sentiment, and quality of students' writing. Following ChatGPT's release, prevalence of ChatGPT-associated lexical markers (e.g., delve, intricate) surged until 2024, then declined in 2025, possibly due to some students actively masking GenAI traces. Writing style (indexed by lexical diversity/density/sophistication, nominalisation, readability) became increasingly...

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AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI
Abdullah Bin Nofal, Hassan Ali, Muhammad Hadi (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Temas: inteligencia artificial

Resumen:

Texto completo

Interviewing skills play a pivotal role in the job application and search, professional development to prepare for interviewing is a neglected area of research. Professional training methods are available but are often prohibitively expensive, limiting opportunities primarily to privileged individuals. To bridge this accessibility gap and democratize access to job opportunities, there is a need to develop automated interview simulation platforms. The advent of Generative AI (GenAI) technology, in particular Large Language Models (LLMs), makes this is viable proposition but progress is hindered by the absence of open-source implementations for reproducibility and comparison, as well as the...

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Adapting teaching and learning with existing generative AI by higher education Students: Comparative study of Zayed University and King Abdulaziz University
Dina Tbaishat, Ghada Amoudi, Maha Elfadel (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study examines the role of higher education students’ perceptions in adapting Generative AI (GenAI) tools for teaching and learning, with a particular focus on the factors that influence student satisfaction and engagement. A comparative approach is adopted, exploring student experiences at Zayed University (ZU) in the UAE and King Abdulaziz University (KAU) in Saudi Arabia. The principal variables of interest, including Expected Benefits (EB), University Support (US), Ethical Awareness (EA), and Technology Self-Efficacy (TSE), are examined, with particular attention to their direct and mediated influences through Behavioral Intention (BI) on student satisfaction (SS). Data were...

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Investigating the tripartite interaction among teachers, students, and generative AI in EFL education: A mixed-methods study
Lihang Guan, John Chi-Kin Lee, Yue Zhang (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study explores the holistic integration of artificial intelligence (AI) in English as a Foreign Language (EFL) education, addressing significant gaps in empirical research on AI and EFL. Drawing on existing literature on the ecological views of AI in education, the study conceptualizes holistic integration as a balanced interaction among teachers, students, and AI technologies, enhancing rather than replacing traditional human interactions in pedagogy through mediating teacher-student interactions. The research utilized a mixed-method approach to investigate AI's impact on EFL students' proficiency and perceptions in teacher-led classrooms. 66 Participants from an eastern Chinese city...

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A hybrid MCDM approach for unveiling ChatGPT's effect on students' learning
Jannatul Ferdous Mim, Md. Mohibul Islam, Aizizul Haque Raza (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The education sector received significant benefits from ChatGPT as an Artificial Intelligence (AI) chatbot because it strengthens human-machine teamwork while making education more efficient and adapting to individual students and reducing their workload. This research paper focuses on investigating three primary research objectives concerning the integration of ChatGPT into educational settings. Firstly, the study aims to assess the effects of ChatGPT on students' learning outcomes with identifying the main cause and effect impacts. Secondly, it seeks to identify and analyze various strategies that can be employed to effectively utilize ChatGPT for educational purposes. Lastly, the...

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Asking generative artificial intelligence the right questions improves writing performance
Yixin Cheng, Yizhou Fan, Xinyu Li (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Generative Artificial Intelligence (GenAI) tools are widely used by learners and this trend is poised to continue. However, little is known about whether and how GenAI use impacts learning and performance. This study aimed to investigate the effect of GenAI on performance by examining a key affordance of GenAI—seeking help via question asking. We compared the questions that learners asked GenAI versus a human tutor online during a writing task. Using quantitative ethnographic methods, we found that: (a) participants in the GenAI condition asked significantly more questions compared to those in the Tutor condition; (b) GenAI participants tended to ask one-off questions, while Tutor...

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Developing and validating an artificial intelligence ethical awareness scale for secondary and university students: Cultivating ethical awareness through problem-solving with artificial intelligence tools
Siu-Cheung Kong, Jinyu Zhu (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Although there is growing attention to artificial intelligence (AI) ethics education with the rapid surge of AI technology, little research has explored the use of problem-solving to cultivate students' AI ethical awareness. To address this gap, this study developed a scale to multidimensionally measure AI ethical awareness and cultivated students' AI ethical awareness through problem-solving using AI tools within an AI literacy course. A total of 573 Hong Kong secondary and university students participated in a 14-h course. Data was collected through the AI Ethical Awareness Scale (AIEAS) questionnaire and students' self-reflective writings. The AIEAS framework, encompassing three...

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Assessing students’ DRIVE: A framework to evaluate learning through interactions with generative AI
Manuel Oliveira, Carlos Zednik, Gunter Bombaerts (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

As generative AI (GenAI) transforms how students learn and work, higher education must rethink its assessment strategies. This paper introduces a conceptual framework, DRIVE, and a taxonomy to help educators evaluate student learning based on their interactions with GenAI chatbots. Although existing research maps student-GenAI interactions to writing outcomes, practice-oriented tools for assessing evidence of domain-specific learning beyond general AI literacy skills or general writing skills remain underexplored. We propose that GenAI interactions can serve as a valid indicator of learning by revealing how students steer the interaction (Directive Reasoning Interaction) and articulate...

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Intercultural Communicative Competence: Current Trends and Critical Dimension
Jacqueline García Botero, Margarita Alexandra Botero Restrepo, Cristian Camilo Reyes-Galeano (2025)
Philologia Hispalensis
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: competencia intercultural

Resumen:

Texto completo

This article reports a systematic review of Intercultural Communicative Competence (ICC) in the field of foreign language teaching and learning with the aim of identifying tendencies in ICC research. Based on the PRISMA methodology (Urrútia & Bonfill, 2010), there was conducted an analysis of 79 research and reflection articles written between 2010 and 2022 which met all the criteria established in a search protocol. The search was developed in two phases. The first phase places emphasis on identifying various trends regarding ICC and the second one focused on the critical dimension of ICC. The analysis of all the studies lead to the identification of several challenges that could be...

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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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