Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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How much have students’ ordinary learning processes shifted in response to generative AI, and how does that affect their durable learning outcomes? Self-report surveys show little change, while small-scale behavioral studies report widespread AI use without the scale or duration to measure learning consequences. We address both questions using a ten-year panel of 3.2 million ALEKS learning interactions for the time-on-task analysis, complemented by ALEKS PPL placement-assessment data for the proctoring and retention analyses, with a quasi-experimental design exploiting within-curriculum variation in AI susceptibility: text-based word problems transcribable into AI prompts serve as the treated group; graph-based problems...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Personalised learning models can assist students in meeting their unique requirements and objectives for expanding their knowledge, perspective, abilities, and understanding of the educational system. With the advancement of artificial intelligence, technological integration has the potential to play a critical role in personalising the learning experience. This work attempts a systematic review that examines the influence of personalised learning enabled by artificial intelligence on the educational system. The review synthesises the latest research literature (January 2015–June 2025) and includes a total of 125 studies that achieved our inclusion criteria to demonstrate how technology...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses his/her weaknesses to ultimately meet his/her desired goal. This concept emerged several years ago and is being adopted by a rapidly growing number of educational institutions around the globe. In recent years, the rise of artificial intelligence (AI) and machine learning (ML), together with advances in big data analysis, has introduced novel perspectives that enhance personalized education in numerous ways. By taking advantage of AI/ML methods, the educational platform precisely acquires the student?s characteristics. This is done, in part, by observing past experiences as well as...

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Tipo: libro

Metodología: trabajo teórico

Temas: inteligencia artificial

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Ensayo sobre el lugar que pueden ocupar la inteligencia artificial, la robótica y los datos masivos en el trabajo docente. Neil Selwyn repasa los desarrollos que alimentan la idea de sustituir al profesor —robots de aula, sistemas de tutoría inteligente, analítica del aprendizaje y toma de decisiones automatizada— y examina hasta qué punto pueden reproducir las cualidades sociales, emocionales y cognitivas de la enseñanza humana.

Su tesis es que la cuestión no es técnica sino de valores, juicios y política: la incorporación de cualquier tecnología a la educación es una decisión, y como tal debe discutirse. Un libro breve y accesible, pensado para docentes y para cualquier interesado en el futuro de la educación y del trabajo en tiempos de automatización.

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Editorial de un número de Learning, Media and Technology escrito al calor del lanzamiento de ChatGPT. Los autores repasan las reacciones que despertó —entre el entusiasmo y la alarma por la integridad académica, las referencias inventadas y la desinformación— y proponen situar la polémica en la tradición de la investigación crítica sobre la IA, la automatización y la datificación en la educación.

Presentan los artículos del número en torno a varios ejes: la política de la automatización (la IA educativa no es neutral y tiene genealogías históricas, alianzas público-privadas y conexiones coloniales), la dependencia de...

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Tipo: informe

Metodología: trabajo teórico

Temas: inteligencia artificial

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Informe divulgativo, anterior a la IA generativa, que se ha convertido en una referencia clásica sobre la inteligencia artificial en educación (AIEd). Tiene dos objetivos: explicar a un lector no especialista qué es la AIEd —sus metas, cómo se construye y cómo funciona, con los modelos del alumno, del dominio y pedagógico— y defender lo que puede aportar a la enseñanza y al aprendizaje.

Los autores repasan los sistemas de tutoría inteligente, el apoyo al aprendizaje colaborativo y la evaluación continua, y sostienen que la IA no sustituirá al profesorado, sino que puede ayudarle a ofrecer una enseñanza más personalizada,...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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This study comprehensively analyses how AI tools scaffold and share metacognitive processes, thereby facilitating students’ learning in STEM classrooms through a mixed-method research synthesis combining bibliometric analysis and systematic review. Using a convergent parallel mixed-methods design, the study draws on 135 peer-reviewed articles published between 2005 and 2025 to map publication trends, author and journal productivity, keyword patterns, and theoretical frameworks. Data were retrieved from Scopus and Web of Science using structured Boolean searches and analysed using Biblioshiny and VOSviewer. Guided by PRISMA 2020 protocols, 24 studies were selected for in-depth qualitative review. Findings show that...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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Nowadays, fewer students are choosing to enroll in STEM (science, technology, engineering, and mathematics) fields. STEM students in schools and in higher educational institutions appear to be waning, as evidenced by low secondary school STEM enrolments. To add to this, there are also STEM stream students who dropped out and switched to non-STEM streams. This resulted in a shortage of qualified candidates for STEM-based higher education programmes, and subsequently an insufficient number of STEM graduates. Researchers have found several potential contributing factors that may have impacted students’ selection of STEM. However, this relationship is still unclear and needs further...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Generative AI teaching assistants are increasingly adopted in higher education, yet debates persist over whether student–AI conversations engage students in genuine cognitive processes or function primarily as information retrieval. We propose “Chat as Learning,” a measurement paradigm that treats student prompts as observable externalisations of in-progress learning cognition, complementing outcome-based assessment with a process-level signal aggregable at population, course, and student scales. We adopt the term learning to denote the paradigm’s theoretical positioning; the present study measures cognitive demand reflected in students’ prompts, classified via Bloom’s Taxonomy, rather than...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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Educational systems generate huge quantities of digital data. Digital educational data is captured and used at all points -- from classrooms and schools, to the level of educational departments. As growing trends in ‘data-driven instruction’ suggest, all these data have great potential to support student, teacher and leadership practices, help guide work and learning decisions, and inform policy development. Moreover, an increasing focus is being placed on the development of artificial intelligence to automate and improve how data are used. Yet, stakeholder data practices remain invisible and little understood, which complicates how artificial intelligence can be embedded in this context....

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