Bibliografía sobre IA y ELE

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Tipo: artículo

Metodología: estudio empírico

Temas:
chatGPT IA y aprendizaje estudio empírico

Resumen:

Purpose: This study investigates the impact of activity-based learning and the utilization of ChatGPT on students' academic performance within the educational framework. Objectives: The study aims to assess the effectiveness of activity-based learning in comparison to traditional methods, while also evaluating the potential benefits and drawbacks of integrating ChatGPT as an educational tool. Methods: The study employs a comparative approach, analyzing the outcomes of students exposed to activity-based learning versus those using conventional methods. Additionally, the study examines the usage of ChatGPT in education through surveys and trials to determine its contribution to personalized...

A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching

Belle Li, Victoria L Lowell, Chaoran Wang (2024)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y enseñanza-aprendizaje de lenguas chatGPT revisión de bibliografía

Resumen:

This systematic review aims to explore published research on the use of ChatGPT in language learning between November 2022 and November 2023, outlining the types of papers, methodologies adopted, publishing journals, major research trends, topics of interest, and existing gaps demanding attention. The PRISMA framework was utilized to capture the latest published articles, selecting 36 articles that met the inclusion criteria. Findings extracted from this review include (1) authors worldwide contribute to this topic, with Asia and North America leading; (2) the wide distribution across various journals underscores the interdisciplinary nature of this research topic, such as computer science...

Artificial intelligence agents in computer-supported collaborative learning: A systematic literature review

Shen Ba, Xuechun Shi, Shuang Wu (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y aprendizaje chatbots revisión de bibliografía

Resumen:

Artificial intelligence (AI) agents are rapidly reshaping the landscape of computer-supported collaborative learning (CSCL), presenting both new opportunities and challenges for educators and learners. Despite their increasing prevalence, there remains a lack of comprehensive, theory-informed synthesis regarding the roles and impacts of AI agents within CSCL. This systematic literature review analyses 46 empirical studies published between 2014 and 2025, with the aim of clarifying the methodological and contextual characteristics of the field, the pedagogical and technological features of AI-mediated CSCL environments, the instructional and mediational functions of AI agents, and the...

Preparing pre-service teachers for responsible generative AI use: Curriculum implications for ethics, privacy, and AI literacy

Lucas Kohnke, Di Zou, Chun Lai (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
ética de la IA IA y educación estudio empírico

Resumen:

This study investigated what pre-service teachers should learn about generative artificial intelligence (GenAI) by backtracking from anticipated classroom dilemmas to teacher-education design needs. Through qualitative interviews with 17 pre-service teachers at a Hong Kong university, the research explored perspectives on integrating AI into education, focusing on ethical concerns and pedagogical strategies. Grounded in the interpretivist paradigm, it revealed concerns about academic integrity, privacy and the challenge of maintaining essential human skills in a GenAI-driven educational environment. Although pre-service teachers recognised GenAI's potential to enhance teaching and learning...

Governing the unseen: A systematic review of AI literacy among language teachers in higher education

Yanyao Deng, Ferdi Çelik, Volkan Duran (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y enseñanza-aprendizaje de lenguas revisión de bibliografía

Resumen:

This systematic review is a synthesis of 32 empirical and conceptual studies published between December 2022 and March 2026 to investigate AI literacy among language teachers in higher education. The review has answered four research questions related to conceptualisations of AI literacy, pedagogical practices and professional-development models, assessment approaches, and reported outcomes, challenges, and gaps guided by the theoretical lens of governing the unseen, which prefigures institutional policies. Based on PRISMA 2020, the systematic search of ERIC, the British Educational Index, and Web of Science resulted in the identification of studies, which were subjected to thematic...

A hybrid MCDM approach for unveiling ChatGPT's effect on students' learning

Jannatul Ferdous Mim, Md. Mohibul Islam, Aizizul Haque Raza (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
chatGPT IA y aprendizaje estudio empírico

Resumen:

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...

How AI literacy correlates with affective, behavioral, cognitive and contextual variables: A systematic review

Arne Bewersdorff, Claudia Nerdel, Xiaoming Zhai (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y educación revisión de bibliografía

Resumen:

This systematic review maps the empirical landscape of AI literacy by examining its correlations with a diverse array of affective, behavioral, cognitive and contextual variables. Building on the review of AI literacy scales by Lintner (2024), we analyzed 31 empirical studies that applied six of those AI literacy scales, covering 14 countries and a range of participant groups. Our findings reveal robust correlations of AI literacy with AI self-efficacy, positive AI attitudes, motivation, and digital competencies, and negative correlations with AI anxiety and negative AI attitudes. Personal factors such as age appear largely uncorrelated with AI literacy. The review reveals measurement...

Evaluating lab assistant chatbot on student learning and behaviors in a programming short course

Thanapon Noraset, Akara Supratak, Chaiyong Ragkhitwetsagul (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
chatbots prompts IA y aprendizaje estudio empírico

Resumen:

The rise of generative AI has increased interest in its application as an intelligent lab assistant in programming education, but concerns persist over its educational value and potential exploitation. While previous work supports using a customized chatbot as an assistant that provides specific guidance rather than allowing students to prompt responses freely, empirical evidence directly comparing these approaches is still lacking. This study evaluates the impact of two chatbot designs, Unrestricted and Assistant, on student learning and behavior in a short Python programming course. Through a controlled experiment involving 42 participants, we found that students using the Assistant...

A framework for evaluation of large language models in essay assessment: Reliability, alignment, and causal reasoning

Tongxi Liu, Luyao Ye, Wei Yan (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas IA y evaluación modelos de lenguaje (LLM) estudio empírico

Resumen:

Recent advances in large language models have revitalized research on automated essay evaluation, yet critical concerns remain regarding their reliability, validity, and interpretability. This study presents a comparative analysis of five LLMs (GPT-4.1, Llama 4 Maverick, Gemini 2.5 Flash, Claude Sonnet 4, and DeepSeek R1) in the assessment of long English essays authored by non-native speakers in higher education. The analysis draws on LLM-generated scores for 60 essays to examine (a) intra-model reliability across repeated scoring runs, (b) the degree of alignment between model outputs and expert human ratings, and (c) causal feature dependencies that clarify how linguistic characteristics...

Artificial intelligence in history education. Linguistic content and complexity analyses of student writings in the CAHisT project (Computational assessment of historical thinking)

Christiane Bertram, Zarah Weiss, Lisa Zachrich (2021)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y evaluación estudio empírico

Resumen:

The use of standardized test formats in the assessment of historical competencies has recently come under severe criticism, especially in the United States, where standardized tests are particularly common. History researchers have argued that open-ended items are more appropriate for assessment. However, providing largescale evaluations of open-ended answers is time consuming and poses challenges regarding the objectivity, validity, and replicability of ratings. To address this issue, we investigated the extent to which computer-based evaluation methods are suitable for evaluating student answers by combining qualitative methods from history education research with quantitative, computer-...