Bibliografía sobre IA y ELE

El objetivo de esta investigación es analizar las estrategias de actitud crítica de los maestros en formación inicial en el uso de dos herramientas de Inteligencia Artificial Generativa (IAG), ChatGPT y Perplexity, en el proceso de construcción de un texto expositivo académico. Esta investigación deriva de una propuesta didáctica implementada en la Facultad de Educación (Universitat de Barcelona), en la que participaron 26 maestros en formación inicial en el Grado de Educación Infantil. El corpus de datos está constituido por 26 textos expositivos, 74 borradores de proceso y 26 reflexiones sobre su proceso de escritura. El análisis de contenido muestra tres tendencias en la forma en la que...

Fine-tuning AI models for enhanced consistency and precision in chemistry educational assessments

Sri Yamtinah, Antuni Wiyarsi, Hayuni Retno Widarti (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y evaluación modelos de lenguaje (LLM) estudio empírico

Resumen:

Integrating artificial intelligence (AI) into educational assessments represents a paradigm shift, especially in STEM subjects such as chemistry, which require complex problem-solving and written feedback. This study focuses on the effects of fine-tuning on each of the four AI models—Gemini 1.5, Gemini 1.0, BERT, and XLNet—and their performance on chemistry tasks. The models were implemented using three evaluation methods: Seq2Seq for Sodium Reaction Grading, a Regression Task for Overall Grading, and Attention-Based Grading for Key Steps Grading. The fine-tuning process significantly improved the models' accuracy, precision, and stability. Gemini 1.5 outperformed the other models across...

From literature to research-based learning: An AI-powered information extraction system to enhance undergraduate thesis completion

Rong An, Weian Zhu, Qian Zhao (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y aprendizaje estudio empírico

Resumen:

Undergraduate thesis completion in STEM education is often constrained by limited timeframes, insufficient training, and the difficulty of navigating unstructured scientific literature. This study describes the design and evaluation of an AI-powered information extraction system that converts research publications into structured, traceable, and comparable datasets to support literature-driven comparison. The system is positioned as an epistemic scaffold that enables the inspection of evidence claim relationships through source traceability and structured comparisons while reducing low-level data-handling demands. A mixed-methods pilot study was conducted with 20 undergraduates from four...

GLAT: The generative AI literacy assessment test

Yueqiao Jin, Roberto Martinez-Maldonado, Dragan Gašević (2025)

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Tipo: artículo

Metodología: estudio empírico

Resumen:

The rapid integration of generative artificial intelligence (GenAI) technology into education requires precise measurement of GenAI literacy to ensure that learners and educators possess the skills to engage with and critically evaluate this transformative technology effectively. Existing instruments often rely on self-reports, which may be biased. In this study, we present the GenAI Literacy Assessment Test (GLAT), a 20-item multiple-choice instrument developed following established procedures in psychological and educational measurement. Structural validity and reliability were confirmed with responses from 355 higher education students using classical test theory and item response theory...

Fostering machine learning literacy in senior primary education: Evaluating a structured pedagogical course design

Siu-Cheung Kong, Qiaoyi Wang (2026)

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Tipo: artículo

Metodología: estudio empírico

Resumen:

Current K–12 artificial intelligence (AI) literacy education emphasizes tool usage over fundamental concepts, yet AI literacy requires grasping how and why AI works – critical for an AI-driven society. This highlights the need for machine learning (ML) education for young learners. We designed and evaluated a six-to 8-h ML course for 752 senior primary students (average age 11.36) across seven Hong Kong primary schools. Pre- and post-test results showed significant improvement in ML understanding, with a Wilcoxon effect size of 0.55. Students comprehended supervised learning and reinforcement learning, including algorithms such as k-nearest neighbours and artificial neural networks, via...

Do AI chatbot-integrated writing tasks influence writing self-efficacy and critical thinking ability? An exploratory study

Jie Gao, Jing Zhang, Yalin Li (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas chatbots estudio empírico

Resumen:

Emerging discussions have boomed in relation to recent trends and applications of generative artificial intelligence in education, but few attention were paid to AI chatbots in terms of critical thinking ability and second language (L2) writing self-efficacy. To address such research gap, this study aims to delve into effectiveness of AI chatbot-integrated writing tasks on critical thinking ability and writing self-efficacy among vocational college students. Followed the quasi-experiment design, this study recruited 80 first-year vocational college students from two intact class. Throughout seven-week's instruction, quantitative data were collected with pre- and post-questionnaires of...

AI-mediated research agency formation in higher education: Autonomy, self-efficacy and innovation in early-career scientific training

Shanshan Han, Pingqing Liu (2026)

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Tipo: artículo

Metodología: estudio empírico

Resumen:

Generative AI is becoming part of the infrastructure of higher education research training, yet little is known about how AI-mediated environments shape early-career researchers’ agency. This study examines AI dependence, defined as reliance on intelligent tools as a primary source of cognitive support in judgement-intensive research tasks, and interprets its educational risk as epistemic delegation: the transfer of problem framing, methodological choice and interpretive authority from the researcher to the intelligent system. Drawing on an AI-mediated research agency formation framework, we examined whether research autonomy and research self-efficacy mediate the association between AI...

How are faculty and college students embracing AI? — A multi-informant mixed method study

Lindai Xie, Yingying Jiang, Chi-Ning Chang (2025)

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Tipo: artículo

Metodología: estudio empírico

Resumen:

This multi-informant mixed-methods study uses a concurrent parallel sampling approach to investigate undergraduate students' and faculty's perceptions of utilizing AI in teaching and learning at U.S. universities. A survey developed based on the Technology Acceptance Model, Social Influence Theory, and existing literature was implemented to collect undergraduate students' data regarding students' perceived AI learning environment, perceived others' attitudes toward AI, and personal attitudes toward AI. Faculty's opinions were collected through semi-structured interviews in accordance with the survey variables. Quantitative findings indicated that the effect of the AI learning environment on...

Modeling generative AI adoption in higher education: An integrated TAM–TPB–SDT framework with SEM validation

Dina Tbaishat, Omar AlFandi, Faten Hamad (2026)

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Tipo: artículo

Metodología: estudio empírico

Resumen:

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...

Bridging technology and pedagogy from a global lens: Teachers’ perspectives on integrating ChatGPT in English language teaching

Mohammad H. Al-khresheh (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas chatGPT estudio empírico

Resumen:

The rise of Artificial Intelligence in educational contexts has sparked both excitement and trepidation, highlighting the urgent need to investigate its implications, especially in English Language Teaching. In light of this context, this study aimed to find out how English language teachers perceive the pedagogical benefits and challenges posed by ChatGPT when incorporated into ELT and identify potential avenues for such digital innovations. Adopting a qualitative research design, data were purposively collected by distributing an open-ended questionnaire to 46 English language teachers from multiple countries. This sample was solicited via the academic and research platform ResearchGate,...