Bibliografía sobre IA y ELE

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

Artificial intelligence (AI) has far-reaching implications for education. Within organizations, especially companies, human resource development (HRD) enables and supports learning processes among employees. In a similar way to teachers and lecturers, HRD professionals play an important role in implementing AI in HRD. However, there is a lack of quantitative empirical evidence about this process. The aim of this paper is to shed light on how HRD professionals position themselves with respect to AI. The concept of Davenport and Kirby's augmentation strategies, adapted to HRD, act as the theoretical background. The core idea of augmentation lies in human-AI collaboration. In our study, we...

AI-powered EFL pedagogy: Integrating generative AI into university teaching preparation through UTAUT and activity theory

Muhammad Zaim, Safnil Arsyad, Budi Waluyo (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas estudio empírico

Resumen:

This study explores the integration of generative AI into English as a Foreign Language (EFL) teaching preparation within Indonesian higher education, addressing the growing need to understand how emerging technologies can enhance pedagogical practices in a rapidly evolving educational landscape. By employing the Unified Theory of Acceptance and Use of Technology (UTAUT) and Activity Theory, the research provides a robust analytical framework to examine the factors influencing lecturers' adoption of generative AI. The study is particularly relevant as generative AI offers significant potential to improve teaching efficiency and content personalization, yet its adoption presents challenges...

Safer interaction with IVAs: The impact of privacy literacy training on competent use of intelligent voice assistants

André Markus, Maximilian Baumann, Jan Pfister (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación ética de la IA estudio empírico

Resumen:

Intelligent voice assistants (IVAs) are widely used in households but can compromise privacy by inadvertently recording or encouraging personal disclosures through social cues. Against this backdrop, interventions that promote privacy literacy, sensitize users to privacy risks, and empower them to self-determine IVA interactions are becoming increasingly important. This work aims to develop and evaluate two online training modules that promote privacy literacy in the context of IVAs by providing knowledge about the institutional practices of IVA providers and clarifying users' privacy rights when using IVAs. Results show that the training modules have distinct strengths. For example,...

Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance

Tongguang Li, Lixiang Yan, Sehrish Iqbal (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y aprendizaje estudio empírico

Resumen:

Self-regulated learning (SRL) encapsulates learners' abilities to control, monitor, and regulate cognitive and metacognitive processes such as motivation, emotion, and learning strategies. A crucial element of SRL proficiency lies in learners' capacity to plan and implement effective learning strategies. As such, extensive academic research has been devoted to understanding the impact of learning strategies on learning performance, and the role of instructional methods (including real-time scaffolding) in amplifying students' ability to adopt effective learning strategies. However, while numerous studies have focused on learning strategies and SRL scaffolding, few have investigated their...

Two years of innovation: A systematic review of empirical generative AI research in language learning and teaching

Belle Li, Yaling Lily Tan, Chaoran Wang (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

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

Resumen:

This systematic review examines the evolution of empirical research on generative AI in language learning and teaching from 2023 to 2024. Following PRISMA guidelines, we analyzed 144 peer-reviewed articles from Web of Science, Scopus, and ERIC databases to explore the field's progression, including identifying new developments, shifts in research priorities, and emerging themes that have arisen compared to the first year. The findings reveal an exponential growth in publications, with a significant shift from primarily exploratory inquiries to more systematic and empirically driven investigations. The analysis identified six main research foci: Perceptions and attitudes, psychological and...

Evaluating large language models as raters in large-scale writing assessments: A psychometric framework for reliability and validity

Yuehan Wang, Jinyan Huang, Lun Du (2025)

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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:

In large-scale international writing assessments, human raters often exhibit inconsistency, undermining reliability and validity. Large language models (LLMs) offer a potential solution, but their assessment reliability remains underexplored. This study employed generalizability theory and many-facet Rasch modeling to compare human and LLM raters across three essay genres (4315 samples).Findings reveal that human-LLM discrepancies stem from fundamental evaluation differences, with minimal divergence in key-point scoring. Humans excel in holistic scoring scenarios but struggle with complex analytical rubrics where LLMs demonstrate advantages. While LLMs perform adequately for relative...

Enhancing teachers’ AI competency: A professional development intervention study based on intelligent-TPACK framework

Xiao Tan, Gary Cheng, Man Ho Ling (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

With the rapid penetration of generative artificial intelligence (AI) in higher education, university teachers' AI competency has become a critical determinant of effective technology integration in teaching. However, systematic and empirically validated intervention frameworks to support the development of this competency remain scarce. To address this gap, this study implemented a six-month professional development (PD) programme grounded in the Intelligent-TPACK framework and evaluated its effectiveness using a quasi-experimental pre-test-post-test design. A total of 64 teachers participated in the PD programme (experimental group), while pre- and post-test data were also collected from...

Design of a science integrated secondary school AI literacy curriculum: A youth & AI expert guided design-based research approach

Katherine S. Moore, Gabrielle Rabinowitz, Safinah Ali (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

Educators are facing the challenge of redesigning curricula to integrate artificial intelligence (AI) and machine learning (ML) methods in a way that is relevant and engaging to youth. Design-based research (DBR) presents a unique opportunity to conduct iterative re-design of these curricula while incorporating feedback from stakeholders including youth and professionals in the field. In this paper we present a mixed methods analysis of the iterative design of an informal science-integrated ML curriculum for high school youth enrolled in a four-week summer program. Each step of the two year DBR process was informed by input from our advisory board consisting of alumni and industry experts....

Generative AI in high school English career preparation units: Student interactions, perceptions, and ethical concerns

Kyungbin Kwon, Sohheon Yang, Ugur Kale (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas IA y aprendizaje ética de la IA estudio empírico

Resumen:

The rapid integration of generative AI into K–12 education presents both opportunities and challenges for supporting students’ learning. This mixed-methods case study examined how high school students interacted with an AI-enhanced resume writing unit and a text-based mock interview unit within an English Language Arts course. Quantitative results indicated students’ positive perceptions of AI utility across constructs of awareness, usage, evaluation, and ethics. Qualitative analysis revealed that students used AI to explore career information, generate and refine resume content, and iteratively revise and refine interview responses. While many students engaged critically—questioning,...

Generative AI (GenAI) as a mindtool that supports generative learning (GL)

Nada Dabbagh, Helen Fake (2026)

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Tipo: artículo

Metodología: trabajo teórico

Temas:
IA y aprendizaje

Resumen:

Grounded in the learning sciences, Generative Learning (GL), is a learning method or process that encourages students to actively generate information and make connections between new and existing knowledge. This active participation in the learning process promotes a deeper understanding of the instructional material, fosters long-term retention of knowledge, and cultivates critical thinking skills and problem-solving abilities. The magic lies in the “generation” process, where learners actively make sense of the material rather than passively receiving information. In this paper, we argue that Generative Artificial Intelligence (GenAI) can be used as a Mindtool (knowledge representation...