Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The traditional “one size fits all” education system has been largely criticized in recent years on the ground of its lacking the capacity to meet individual student needs. Global education systems are leaning towards a more personalized, student-centered approach. Innovations like Big Data, Machine Learning, and Artificial Intelligence (AI) have given the modern-day technology to accommodate the distinctive features of human beings - smart machines and computers have been built to understand individual-specific needs. This opens an avenue for “personalization” in the education sector. From, mushrooming of Education Technology (EdTech) start-ups to government funding in AI research, it is...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This study examines artificial intelligence (AI) literacy among middle school students through the lens of the ABCE framework, which encompasses Affective, Behavioral, Cognitive, and Ethical dimensions. Using a sample of 1669 students from Shanghai, China, the research validates the AI Literacy Questionnaire (AILQ) as a robust psychometric tool for assessing these four domains. Latent profile analysis identified four distinct AI literacy profiles, Poor, Moderate, Good, and Excellent, revealing that 72.3 % of students achieved high literacy levels (Good or Excellent), while 27.7 % remained in lower proficiency groups (Poor or Moderate). Key demographic findings highlight the role of gender...

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Tipo: artículo

Metodología: trabajo teórico

Temas: competencia intercultural

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Hoy en día se refleja la convivencia de varias culturas en un mismo ámbito ya sea físico, político o social. Vivimos en la era de la globalización. Las fronteras se desdibujan. Lo lejano se vuelve cercano. Descubrimos que las necesidades de los demás no difieren en mucho de las nuestras, y que los obstáculos o barreras culturales son más fáciles de levantar de lo que pensamos. Llevando esta reflexión al campo de la enseñanza de una L2, los elementos que conforman y dan significado a un nueva metodología de enseñanza-aprendizaje tratan de ser una ventana abierta hacia la cultura del Otro y, para alcanzar dicho objetivo se incorpora en el proceso de enseñanza – aprendizaje las nuevas...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: metodología de investigación

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Este trabajo incluye dos secciones bien diferenciadas para dar una visión general del campo de la investigación aplicada a los procesos de aprendizaje en L2. La primera sección trata de dar cuenta de los principales desafíos metodológicos que plantea el estudio de los procesos cognitivos que intervienen en el aprendizaje léxico y gramatical del español como segunda lengua, aportando algunos ejemplos del contexto escolar, aunque dando por sentado que el aprendizaje de una lengua va más allá de esos aprendizajes. En este marco se trata el problema de la representatividad de los datos lingüísticos, la evaluación del conocimiento y las distintas formas de analizar los datos. En la segunda...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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This article examines the capacity of an artificial intelligence (AI) platform to assess university students' mastery of complex thinking. Central questions addressed include the identification of essential technical elements that contribute to the platform's effectiveness, and how the AI platform can boost student motivation and cultivate complex thinking. The research employed a mixed-methods approach, anchored by an Ideathon centered on the Sharing Economy. Qualitative insights were drawn from semi-structured interviews with nine university students. The results indicate that the platform effectively evaluates complex thinking proficiency, differentiating between systemic, scientific,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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While increasing attention has been given to cultivating students' artificial intelligence (AI) ethical awareness, the factors that contribute to its development remain underexplored. Psychological empowerment is a crucial motivational factor influencing students' intentions to incorporate ethical norms in developing AI-based solutions. Hence, this study filled this up by exploring the relationship between empowerment in using AI for problem-solving and AI ethical awareness. Empowerment in using AI for problem-solving in this study comprised three components: impact, self-efficacy and meaningfulness. Data was collected from 681 students from secondary schools and a university in Hong Kong....

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Tipo: artículo

Metodología: trabajo teórico

Temas: metodología de investigación

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El objetivo de este trabajo es comentar el artículo de Mavrou (2015) y, en particular, sus afirmaciones acerca del Análisis Factorial. Dado que el suyo es un artículo de revisión de la investigación realizada por investigadores especializados, este comentario provee información agregada sobre su aplicación al campo disciplinar de esta revista.

The aim of this paper is to discuss the article Mavrou (2015) and, in particular, her statements about the Factor Analysis. Since it is a review article of the research conducted by specialized researchers, this comment provides added information on its application to the disciplinary field of this Journal.

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The increasing significance of artificial intelligence (AI) in various industries highlights the necessity for industry leaders and professionals to comprehend and gain knowledge about AI. The urgency for AI literacy is more critical than ever due to the potential unethical use of AI resulting from insufficient knowledge. This issue is particularly crucial for educators because they need to understand and adapt to the impact of AI within educational institutions, with some needing to use and become literate in AI, given that students now have increased access to public AI tools. This research presents a multi-phase study to address the issue of bridging the knowledge gap in AI by conducting...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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High-quality test items are essential for educational assessments, particularly within Item Response Theory (IRT). Traditional validation methods rely on resource-intensive pilot testing to estimate item difficulty and discrimination. More recently, Item-Writing Flaw (IWF) rubrics emerged as a domain-general approach for evaluating test items based on textual features. This method offers a scalable, pre-deployment evaluation without requiring student data, but its predictive validity concerning empirical IRT parameters is underexplored. To address this gap, we conducted a study involving 7,126 multiple-choice questions across various STEM subjects (physical science, mathematics, and life/...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Large language models (LLMs) that power chatbots such as ChatGPT have capabilities across numerous domains. Teachers and students have been increasingly using chatbots in science, technology, engineering, and mathematics (STEM) subjects in various ways, including for assessment purposes. However, there has been a lack of systematic investigation into LLMs’ capabilities and limitations in automatically generating items for STEM subject assessments, especially given that LLMs can hallucinate and may risk promoting misconceptions and hindering conceptual understanding. To address this, we systematically investigated LLMs' conceptual understanding and quality of working in generating question...

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