Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento crítico cognición y procesamiento

Temas IA: IA y aprendizaje estudio empírico

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The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. Utilising a mixed-method approach, we conducted surveys and in-depth interviews with 666 participants across diverse age groups and educational backgrounds. Quantitative data were analysed using ANOVA and correlation analysis, while qualitative insights were obtained through thematic analysis of interview transcripts. The findings revealed a significant negative correlation between frequent AI tool usage and...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación integridad académica

Temas IA: IA y evaluación estudio empírico

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The rapid adoption of generative artificial intelligence (GenAI) technologies in higher education has raised concerns about academic integrity, assessment practices and student learning. Banning or blocking GenAI tools has proven ineffective, and punitive approaches ignore the potential benefits of these technologies. As a result, assessment reform has become a pressing topic in the GenAI era. This paper presents the findings of a pilot study conducted at British University Vietnam exploring the implementation of the Artificial Intelligence Assessment Scale (AIAS), a flexible framework for incorporating GenAI into educational assessments. The AIAS consists of five levels, ranging from “no AI” to “...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT integridad académica

Temas IA: chatGPT IA y evaluación estudio empírico

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This study investigates student responses to allegations of cheating using ChatGPT, a popular software platform capable of generating coherent text on various topics. Data comprising 49 Reddit posts and discussions between December 2022 and June 2023 were collected. Students shared their experiences, often asserting false accusations, and discussed strategies to navigate these situations. Thematic analysis identified five key themes: adopting a legalistic stance with argumentation and evidence; higher education's role as a societal gatekeeper; vicissitudes of trust in students vs. technology; questions of what constitutes cheating; and the need to rethink assessment. These findings will aid educators and institutions in crafting more meaningful assessments in the age of AI and establishing guidelines for student usage of ChatGPT and...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT expresión escrita

Temas IA: chatGPT IA y aprendizaje estudio empírico

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This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial integridad académica evaluación

Temas IA: IA y evaluación análisis de producción de IA estudio empírico

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This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content that has been modified using techniques designed to evade detection by these tools (n=805). The results demonstrate that the detectors' already low accuracy rates (39.5%) show major reductions in accuracy (17.4%) when faced with manipulated content, with some techniques proving more effective than others in evading detection. The accuracy limitations and the potential for false accusations demonstrate that these tools cannot currently be recommended for determining whether violations of academic integrity have occurred, underscoring the challenges educators face in maintaining inclusive and...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética inclusión y equidad

Temas IA: ética de la IA IA y educación estudio empírico

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While Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion. At a more general level, there is also a need to differentiate between doing ethical things and doing things ethically, to understand and to make pedagogical choices that are ethical, and to account for the ever-present possibility of unintended consequences. However, addressing these and related questions is far from trivial. As a first...

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Tipo: capítulo

Metodología: estudio empírico

Temas: inteligencia artificial feedback/retroalimentación metacognición

Temas IA: IA y evaluación IA y aprendizaje estudio empírico

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Providing personalized, detailed feedback at scale in large undergraduate STEM courses remains a persistent challenge. We present an empirically evaluated practice exam system that integrates AI generated feedback with targeted textbook references, deployed in a large introductory biology course. Our system specifically aims to encourage metacognitive behavior by asking students to explain their answers and declare their confidence. It uses OpenAI's GPT-4o to generate personalized feedback based on this information, while directing them to relevant textbook sections. Through detailed interaction logs from consenting participants across three midterms (541, 342, and 413 students respectively), totaling 28,313 question-student...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores creencias y actitudes de los profesores

Temas IA: IA y educación estudio empírico

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The release of ChatGPT in November 2022 has sparked discussions about integrating Generative Artificial Intelligence (GenAI) into teacher education. Teacher educators, as key facilitators of pre-service teachers, play a critical role in determining the successful adoption of GenAI. Their perceptions guide curriculum redesign, define best practices, and shape pre-service teachers’ experiences with GenAI, potentially multiplying its impact across future classrooms. This mixed-methods study explored Danish teacher educators’ perceptions of GenAI (n = 91), focusing on its transformative potential, challenges, and the knowledge pre-service teachers need to acquire. The study employed innovative methods, including GenAI-enhanced...

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Tipo: informe

Metodología: estudio empírico

Temas: inteligencia artificial educación superior creencias y actitudes de los profesores

Temas IA: IA y educación estudio empírico

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Encuesta a más de 3.000 docentes universitarios estadounidenses realizada entre junio y agosto de 2025. Cuatro hallazgos principales: el 74 % declara que su alumnado usa IA generativa para redactar trabajos; el 77 % del profesorado la usa en su labor docente, pero casi la mitad solo para dos fines o menos; el 45 % tiene una valoración global negativa; y el 72 % afronta al menos dificultades menores para gestionar el uso que hace el alumnado.

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial diseño curricular práctica docente

Temas IA: IA y educación estudio empírico IA y creación de materiales

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In exploring the interplay between artificial intelligence technologies and curriculum adaptation, this study bridges a significant gap by exploring how AI tools influence teachers' strategies for adapting curricula. Employing an explanatory sequential design, the research analyses qualitative and quantitative data from 440 teachers, using the Curriculum Adaptation Patterns Scale and focus group semi-structured interviews. Results indicate a balanced approach towards extending and revising the curriculum, with less emphasis on omission. Qualitatively, teachers reported positive experiences using AI, particularly ChatGPT, to make their lessons better fit students' needs: omitting parts...

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