Bibliografía sobre IA y ELE

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico revisión de bibliografía

Resumen:

The rapid rise of generative artificial intelligence (GenAI) tools such as ChatGPT is transforming the landscape of higher education. Beyond their immediate use in writing support and tutoring, these tools are driving a more profound transformation in pedagogy, curriculum design, and the foundational structures of learning itself. Drawing on a triangulated mixed-methods design, this study integrates a scoping review, bibliometric mapping (VOSviewer, n=209 records), a systematic literature review of 36 peer-reviewed articles (2023–2025), and ten semi-structured interviews with academic leaders and educators across five institutions in Australia and Indonesia. The central aim of the study is...

University teachers' perceptions of responsibility and artificial intelligence in higher education - An experimental philosophical study

Cormac McGrath, Teresa Cerratto Pargman, Niklas Juth (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación ética de la IA

Resumen:

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This study investigates university teachers’ relationships with emerging technologies by focusing on the uptake of artificial intelligence in higher education practices. We utilise an experimental philosophy approach to i) determine university teachers’ intuitions around universities’ responsibilities to adopt new artificial intelligence technologies, ii) understand the conditions under which university teachers consider artificial intelligence defensible and, hence, would be willing to introduce such tools and services into their daily practice and iii) specify teachers’ self-reported knowledge of artificial intelligence. An online survey, where participants were sent one of three...

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-...

Fairness perceptions of AI in grading systems: Examining how discontent with the status quo and outcome favorability reduce AI reluctance

S. Mo Jones-Jang, Myojung Chung, Jihyang Choi (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y evaluación ética de la IA estudio empírico

Resumen:

This study investigates students' aversion to AI grading systems compared to human professors, focusing on how dissatisfaction with the current evaluation system and grade outcomes affect fairness perceptions. Drawing from 228 college students in South Korea, the experiment tested three hypotheses: (1) students show AI reluctance, (2) dissatisfaction with the current system mitigates the AI reluctance, and (3) this mitigation is contingent on whether students receive high or low grades. Results confirm a general aversion to AI graders. Yet, students who are dissatisfied with the status quo system displayed increased preference for AI graders, especially when receiving low grades. In...

A systematic review and meta-analysis of the effectiveness of Generative Artificial Intelligence (GenAI) on students’ motivation and engagement

Qi Xia, Weijia Li, Yiming Yang (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y aprendizaje revisión de bibliografía

Resumen:

The rapid development of generative artificial intelligence (GenAI) technologies has revolutionized higher education, enhancing personalized learning and teaching practices. This study conducts a systematic review and meta-analysis to investigate the effects of GenAI on university students' motivation and engagement (cognitive, behavioural, emotional, and agency). By synthesizing experimental studies and applying association rule mining, the study (i) identifies significant positive impacts of GenAI on students' motivation and engagement across diverse educational settings. (ii) key moderating variables, such as subject category, learning strategy, and context of GenAI usage, are shown to...

The promise and limits of LLMs in constructing proofs and hints for logic problems in intelligent tutoring systems

Sutapa Dey Tithi, Arun Kumar Ramesh, Clara DiMarco (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
modelos de lenguaje (LLM) análisis de producción de IA prompts estudio empírico

Resumen:

Intelligent tutoring systems have demonstrated effectiveness in teaching formal propositional logic proofs, but their reliance on template-based explanations limits their ability to provide personalized student feedback. While large language models (LLMs) offer promising capabilities for dynamic feedback generation, they risk producing hallucinations or pedagogically unsound explanations. We evaluated the stepwise accuracy of LLMs in constructing multi-step symbolic logic proofs, comparing six prompting techniques across four state-of-the-art LLMs on 358 propositional logic problems. Results show that DeepSeek-V3 achieved superior performance with upto 86.7 % accuracy on stepwise proof...

Towards contextual-based AI: A scoping review of artificial intelligence in X reality for personalized learning

Zifeng Liu, Serene Cheon, Austin Stanbury (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y aprendizaje revisión de bibliografía

Resumen:

This systematic review synthesizes 54 peer-reviewed studies published between 2019 and 2025 that examine how artificial intelligence (AI) and extended reality (XR) technologies are integrated to support adaptive and personalized learning. The studies were analyzed across multiple dimensions, including learning contexts, AI applications, adaptive input parameters, software and hardware used, and evaluation methods. The findings indicate growing research interest in AI–XR integration, with the majority of studies focused on procedural training and STEM education. Across these studies, AI is frequently used in multifaceted roles, most notably as a provider of real-time adaptive feedback,...

Leveraging complex systems: Leading for transformative change

Shane Dawson, Abelardo Pardo (2026)

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Tipo: artículo

Metodología: trabajo teórico

Temas:
IA y educación

Resumen:

As with other sectors over the last few years, Generative Artificial Intelligence (GenAI) is rapidly reshaping the education ecosystem introducing new epistemic, ethical, and organisational challenges. Education leaders face the need to shift established systems and processes to reimagine how more adaptive complexity-informed GenAI enabled systems operate with new governance, pedagogy, and strategic decision-making. In this context, traditional bureaucratic leadership structures are ill-suited for the pace, scale, and sociotechnical nature of the ongoing technological disruption. This paper addresses this gap by introducing a novel leadership framework called SPARK, designed to...

From proficiency to pedagogy: A mixed-methods study of in-service teachers’ TPACK-GenAI and the mediating role of pedagogical knowledge

Laila Mohebi, Areej ElSayary (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

This study investigated in-service teachers' Technological Pedagogical Content Knowledge for Generative Artificial Intelligence (TPACK-GenAI) and examined the factors influencing their integration of generative AI in classroom practice. Using an explanatory sequential mixed-methods design, data were collected from 325 in-service teachers across 26 countries, followed by in-depth interviews with seven teachers. Quantitative results revealed that Technological Knowledge (TK), Pedagogical Knowledge (PK), and Pedagogical Content Knowledge (PCK) were significantly associated with teachers' overall TPACK-GenAI. Crucially, mediation analysis confirmed that Technological Pedagogical Knowledge (TPK...

Creating an AI-powered platform for generating modelling problems: A case study on direct variation in secondary school mathematics

Chung Kwan Lo, Xiaowei Huang, Ho Wai Cheung (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y creación de materiales estudio empírico

Resumen:

Integrating mathematical modelling into school curricula is essential for connecting school mathematics with real-world applications. However, teachers often lack the time and resources to design high-quality modelling tasks. While generative artificial intelligence (GenAI) can rapidly produce educational content, existing tools typically generate conventional word problems or routine mathematics exercises rather than resources that foster modelling competencies. This study reports on the design and evaluation of an AI-powered platform that generates mathematical modelling problems and associated pedagogical recommendations grounded in established design principles and retrieval-augmented...