Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The rapid advances in AI technologies showed a disruptive potential in educational practices, presenting new challenges and generating new opportunities. This phenomenon has been exacerbated since the release of ChatGPT in 2022, which has permanently transformed various educational activities and sparked widespread scientific interest. Research suggests that ChatGPT can help students navigate the complexities of STEM subjects. However, only a few studies have directed attention to the use of ChatGPT in STEM subjects in upper secondary education. With the purpose of addressing this gap, the aim of this study is to explore how students experience ChatGPT for their STEM studies, encompassing...

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Metodología: estudio empírico

Temas: inteligencia artificial

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This study developed an interactive test dashboard with diagnosis and feedback mechanisms (ITD-DFM) that can generate visualized, rich, and high-quality test feedback for each learner’s learning reflection and review based on simultaneously considering test response time and correctness to assist students’ learning. A quasi-experimental research was conducted with 50 Grade 8 students from two classes in a public junior high school in Taiwan to assess the learning performance of ITD-DFM. One class with 26 students was assigned to the experimental group using the ITD-DFM to support learning, whereas the other class with 24 students was assigned to the control group using the traditional test...

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Temas: inteligencia artificial

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Students and researchers are increasingly relying on ChatGPT as a tool to search for information, generate content, make translations and offer research support. This study employs nine variables derived from the Technology Acceptance Model to evaluate whether the variables can predict ChatGPT use among university students in the Philippines. To achieve this, a survey was carried out. Data was collected from 340 students across various faculties of a university. The data were analyzed with structural equation modeling (SEM). The model predicts that the nine variables that reflect students' perceptions towards ChatGPT, are indirectly or directly related to the students' use of ChatGPT. The...

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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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Metodología: estudio empírico

Temas: inteligencia artificial

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Dialogic reading, a technique in which adults and children engage in interactive discussions around a story, has been shown to improve children’s language and literacy development. Despite its evidence-based benefits, its adoption amongfamilies with English as a Foreign Language (EFL) backgrounds has been particularly challenging due to limited English proficiency, restricted conversational skills, and a low inclination to read in English. This paper presents “Storio'', an e-book integrated with a bilingual large language model (LLM)-based conversational agent named “Mia'', used as a design probe to investigate interactions between EFL children (N=17) and the agent, and to gather insights...

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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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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: 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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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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Metodología: estudio empírico

Temas: inteligencia artificial

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Developing assessment rubrics is resource-intensive, limiting frequent formative assessment. This study introduces HARMOGEN-R (Hybrid Assessment Rubric Model Generation with Reasoning), a framework that uses reasoning-enhanced Large Language Models (LLMs) for initial rubric generation and standard models for synthesis. It supports two generation approaches, namely, structured, with predefined evaluation criteria, and free-form, with Artificial Intelligence (AI) defined criteria. Using a within-subjects design, four AI-generated rubrics and a human-created baseline were compared across 308 open-ended responses (text and code) from three formative programming assignments in an undergraduate...

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