Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial traducción enseñanza/aprendizaje de lenguas

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With the development of globalization, college English translation teaching is faced with the challenge of dealing with complex language structure and cross-cultural content. The traditional teaching methods are inadequate in evaluating translation quality and correcting translation errors, which is difficult to meet the actual needs of students. This study combines deep learning and fuzzy algorithm to improve the effect of translation teaching. Based on the data analysis of 387 students, the BiLSTM model is used to train translation tasks, and the fuzzy inference system is used to evaluate translation quality comprehensively. The results show that this method improves students’ translation...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial aprendizaje basado en proyectos storytelling/narración

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The ascent of generative artificial intelligence (AI) challenges art and design education to reaffirm the value of human creativity. This study proposes and examines a pedagogical response: a project-based learning (PBL) model with digital storytelling (DS) at its core, designed to cultivate the emotional, cultural, and narrative capacities that AI lacks. Conducted through an embedded case study of the 15-week “Creative Shanzhou” project with 426 Chinese undergraduate students, the research implemented a theoretically-grounded PBL-DS framework. Digital storytelling served as the primary methodology for students to translate local cultural heritage into emotionally resonant, multimodal...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior aprendizaje autónomo

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Generative AI is becoming part of the infrastructure of higher education research training, yet little is known about how AI-mediated environments shape early-career researchers’ agency. This study examines AI dependence, defined as reliance on intelligent tools as a primary source of cognitive support in judgement-intensive research tasks, and interprets its educational risk as epistemic delegation: the transfer of problem framing, methodological choice and interpretive authority from the researcher to the intelligent system. Drawing on an AI-mediated research agency formation framework, we examined whether research autonomy and research self-efficacy mediate the association between AI...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA competencia digital

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Generative Artificial Intelligence (AI) approaches open up new avenues of digital creation, and are simultaneously accompanied by societal and ethical implications such as the creation of Deepfakes and spread of misinformation, renewing our understanding of technical AI systems as socio-technical systems. Applications of, and media generated by generative AI techniques are abundantly present on social media platforms frequented by children, who are not yet aware of the existence of AI-manipulated media. Previous work has highlighted the importance of digital media literacy and AI literacy for children. In this work, we introduce middle school students to generative AI techniques as a tool...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional pensamiento crítico

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This study investigates how integrating generative AI (GenAI) with instructional scaffolding and prompt engineering supports higher-order thinking skills (HOTS) and programming logic. A mixed-methods design was used, combining quantitative and qualitative data. The intervention followed a one-group pretest-post-test structure over seven weeks with 25 computer science students with no prior C++ experience. The GenAI-Ped framework guided the design. It combines Bloom's taxonomy, Seelf-Regulated Learning, Universal Design for Learning, and Vygotsky's Zone of Proximal Development. Students received scaffolded support across six instructional phases, including prompt training and guided GenAI...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial aprendizaje autónomo expresión escrita

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Reflection and goal-setting are interrelated processes in well-established educational theories to promote in-depth self-reflection and self-regulated learning. Prior studies have considered reflection to be an important antecedent for meaningful goal-setting. Yet, there lacks empirical evidence to shed light on how students' abilities to reflect inform their abilities to set goals. Hence, in the present study, we aimed to quantify the connection between students' retrospective reflection and their subsequent goal-setting, and derive more in-depth insights to benefit educators in their teaching to promote deeper reflection, more specific goal-setting and better self-regulation. To this end...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial feedback/retroalimentación andamiaje/scaffolding

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Teacher corrective feedback (TCF) plays a vital role in second language (L2) learning. Recent studies have examined feedback provided by both human teachers and large language models (LLMs). However, little is known about how students' trust differs toward scaffolded corrective feedback (SCF)—that is, feedback that incrementally progresses from indirect to direct during interaction—when it is provided by an LLM such as ChatGPT versus a language teacher. To address this gap, this study compared the effects of SCF, delivered by language teachers and ChatGPT, on L2 learning outcomes and student trust. Using a mixed-methods design, 40 lower-intermediate Iranian learners of English as a foreign...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

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This review analyzed the trends in conversational AI tools in ELT from January 2013 to November 2023. The study examined 32 papers, focusing on publication trends, tool types, research methods, learning outcomes, and factors influencing their use. Findings revealed a gradual increase in publications, with 4 (12%) from 2013 to 2021, 13 (41%) in 2022, and 15 (47%) in 2023. All studies (100%) were conducted in Asian EFL contexts. Among the AI chatbots, Google Assistant (25%) was the most widely used. Quasi-experimental (45%) and cross-section (41%) research designs were commonly employed. Mixed-method (50%) approaches were prevalent for data collection and analysis. Conversational AI yielded...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT profesorado

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ChatGPT has quickly infiltrated the educational landscape and teachers are engaging with this tool to support their teaching activities, including lesson development. In this study, eight elementary school teachers are guided in the development of motivationally-supportive mathematics lessons using ChatGPT as a tool to support student positive mathematics emotions, motivation, and engagement as theorized within Control Value Theory (CVT). Results reveal that teachers found ChatGPT useful for this purpose and that the lessons implemented demonstrated some success in fostering motivationally-supportive math activities. Compared to non-ChatGPT lessons, in lessons developed with ChatGPT, the...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

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Current K–12 artificial intelligence (AI) literacy education emphasizes tool usage over fundamental concepts, yet AI literacy requires grasping how and why AI works – critical for an AI-driven society. This highlights the need for machine learning (ML) education for young learners. We designed and evaluated a six-to 8-h ML course for 752 senior primary students (average age 11.36) across seven Hong Kong primary schools. Pre- and post-test results showed significant improvement in ML understanding, with a Wilcoxon effect size of 0.55. Students comprehended supervised learning and reinforcement learning, including algorithms such as k-nearest neighbours and artificial neural networks, via...

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