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: revisión bibliográfica

Temas: inteligencia artificial

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This study examines the effectiveness of artificial intelligence (AI) in language teaching, particularly in English as a Foreign Language (EFL) classrooms, following AI's increased adoption after the COVID-19 pandemic. Through a multilevel meta-analysis of 117 effect sizes across 46 empirical studies published between 2022 and 2025, results show that AI has a statistically significant medium-to-large overall impact on language learning (g = 0.74, 95 % CI [0.57, 0.92], p < .001) across all five major skills, with vocabulary showing the strongest effects, followed by reading, writing, listening, and speaking.Grounded in constructivist, adaptive learning, and cognitive load theories,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Classroom teachers are usually responsible for creating materials to meet students' needs and course requirements. The arrival of generative AI, such as ChatGPT, offers EFL teachers an opportunity to regularly collaborate with AI chatbots to create new source materials. The writing experiments in this study considered how to effectively and ethically work with generative AI to produce culturally appropriate EFL teaching materials. The experiments involved co-producing moral dilemmatic stories with ChatGPT to support a new Chinese EFL curriculum unit on “Morals and Virtues”. We draw on Lo's (2023a, 2023b) CLEAR framework for prompt engineering to generate appropriate stimulus materials. We...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Adopting mixed methods, the study compared teacher feedback and ChatGPT feedback on 35 Chinese university EFL learners’ essay revision, their Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) and their perceived benefits and drawbacks of the feedback. Students wrote two English essays and received writing feedback from their English teacher and ChatGPT respectively. They revised one essay using teacher feedback and another using ChatGPT feedback. Upon revision, students responded to a 5-point Likert-scale questionnaire regarding PU and PEOU of the two types of feedback. The results showed that students obtained significantly higher scores on the revised essays using ChatGPT...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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With the rapid development of artificial intelligence (AI) in recent years, there has been an increasing number of studies on integrating AI in various educational contexts, ranging from early childhood to higher education. Although systematic reviews have widely reported the effects of AI on teaching and learning, limited reviews have examined and defined responsible AI in education (AIED). To fill this gap, we conducted a convergent systematic mixed studies review to analyze key themes emerging from primary research. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines, we searched Scopus and Web of Science and identified 40 empirical studies...

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

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The Community of Inquiry (CoI) framework is widely used to guide and explain learning in online and blended environments. However, generative artificial intelligence (GenAI) challenges a key assumption in CoI research and practice: that indicators of presence can be attributed primarily to human learners, instructors, and their interactions. GenAI can produce fluent discourse that resembles strong cognitive, social, or teaching presence. Yet such discourse may not reflect learners' thinking, relationships, or regulatory intentions. To date, research often frames GenAI as a tool, a dialogic partner, or a possible fourth presence. These views, however, do not fully capture GenAI's pervasive...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Access to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind. Therefore, insights into teachers’ AI self-efficacy and attitudes towards the integration of AI-driven chatbots in education necessitate research. This study approaches teachers' readiness to use AI-driven chatbots. A survey and poll questions were administered, yielding 312 and 406 responses respectively, focusing on AI self-efficacy, attitudes, and perceived usefulness in education. Preliminary findings show that while teachers are generally positive about the potential of AI in...

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Metodología: estudio empírico

Temas: inteligencia artificial

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The testing and diagnostic systems have been considered to be useful for students because they can point to their learning problems to provide helpful suggestions for improving the knowledge. The previous approach shows that using the knowledge from multiple experts can develop a testing and diagnostic system that provides more accurate suggestions for learners comparing to the system using a single expert. Nevertheless, the low-quality knowledge integration method of the multi-expert approach can provide some inaccurate learning suggestions. This work proposes a practical method for enhancing knowledge integration from multiple experts to provide more effective learning suggestions. An...

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Metodología: estudio empírico

Temas: inteligencia artificial

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Given the risks and ethical concerns of integrating generative artificial intelligence (GenAI) into education, scholars have argued for a critical-reflective education approach that addresses the long-term implications of GenAI. However, empirical research on GenAI education approaches is scarce. This study investigates the prevalence of protective-preventive, critical-reflective, and creative-productive GenAI education approaches in highly digitized Swiss upper secondary schools and how students' experiences of these approaches relate to two aspects of their digital agency: GenAI confidence and GenAI responsibility. Using data from 2357 students, the results showed that the critical-...

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Metodología: estudio empírico

Temas: inteligencia artificial

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In the artificial intelligence (AI) era, secondary and university students should be able to apply AI for problem-solving. This study designed and evaluated an AI literacy programme to enhance understanding of machine learning concepts. It also examined how the conceptual understanding from two foundational courses (Courses 1 and 2) affected students' application of these concepts in the subsequent two project-based learning courses (Courses 3 and 4). The regression analysis of data from 566, 566, 470, and 196 student participants enrolled on Courses 1, 2, 3, and 4, respectively, revealed that the post-course concept tests for Courses 1 and 2 accounted for 19.9 % of the variance in the...

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