inteligencia artificial

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates the effects of adaptive feedback generated by large language models (LLMs), specifically ChatGPT, on performance in a written diagnostic reasoning task among German pre-service teachers (n = 269). Additionally, the study analyzed user evaluations of the feedback and feedback processing time. Diagnostic reasoning, a critical skill for making informed pedagogical decisions, was assessed through a writing task integrated into a teacher preparation course. Participants were randomly assigned to receive either adaptive feedback generated by ChatGPT or static feedback prepared in advance by a human expert, which was identical for all participants in that condition, before...

Application and theory gaps during the rise of Artificial Intelligence in Education

Xieling Chen, Haoran Xie, Di Zou (2020)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the absence of a comprehensive review on it, this research aims to conduct a comprehensive and systematic review of influential AIEd studies. We analyzed 45 articles in terms of annual distribution, leading journals, institutions, countries/regions, the most frequently used terms, as well as theories and technologies adopted. We also evaluated definitions of AIEd from broad and narrow perspectives and clarified the relationship among AIEd, Educational Data Mining, Computer-Based Education, and Learning Analytics. Results indicated that: 1) there was a continuingly increasing interest in and impact of...

Academic cheating with generative AI: Exploring a moral extension of the theory of planned behavior

Dongpeng Huang, Nicole Hash, James J. Cummings (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As generative artificial intelligence (GenAI) tools become increasingly integrated into educational environments, concerns have emerged about their potential to facilitate academic dishonesty. Drawing on the modified theory of planned behavior, this study aimed to understand undergraduate students’ academic cheating behaviors using GenAI. The study conducted a mixed-method approach, utilizing focus groups and polls to gather insights from 25 undergraduate students enrolled in a course that incorporated GenAI into its pedagogical design in the United States. The results revealed that the integration of GenAI into higher education is perceived as inevitable. While students clearly recognized...

Temporally-focused analytics of self-regulated learning: A systematic review of literature

John Saint, Yizhou Fan, Dragan Gašević (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

We present a systematic literature review of data-driven self-regulated learning (SRL) that emphasises the methodological importance of temporality and sequence, as opposed to conventional statistical analysis. Researchers seem unanimous in their view of the importance of SRL in modern online and blended educational settings; this is borne out by number of reviews of literature on the subject. There has, as yet, been no systematic treatment of SRL in the context of its conceptualisation as a phenomenon that unfolds in sequences over time. To address this limitation, this review explores the corpus of work (n = 53) in which SRL and its related dimensions are analysed through the lenses of...

Alexa doesn't have that many feelings: Children's understanding of AI through interactions with smart speakers in their homes

Valentina Andries, Judy Robertson (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As voice-based Conversational Assistants (CAs), including Alexa, Siri, Google Home, have become commonly embedded in households, many children now routinely interact with Artificial Intelligence (AI) systems. It is important to research children's experiences with consumer devices which use AI techniques because these shape their understanding of AI and its capabilities. We conducted a mixed-methods study (questionnaires and interviews) with primary-school children aged 6–11 in Scotland to establish children's understanding of how voice-based CAs work, how they perceive their cognitive abilities, agency and other human-like qualities, their awareness and trust of privacy aspects when using...

LLM sentiment quantification reveals selective alignment with human course-evaluation raters

Joyce W. Lacy, Chi Nnoka, Zachary Jock (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Student course evaluations contain rich qualitative feedback in the form of comments written in response to open-ended questions. However, this qualitative data, which may be more nuanced and detailed than quantitative ratings, is often unexamined in both administrative and research settings due to the labor-intensive nature of manual analysis. We investigate whether large language models (LLMs), including BERT, RoBERTa, and OpenAI model variants, can accurately replicate human judgments of sentiment in these comments. We compare masked and generative language models, using both naïve and fine-tuned approaches, to analyze a curated dataset of 1000 de-identified course evaluation responses....

Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study

Christian Stöhr, Amy Wanyu Ou, Hans Malmström (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

AI chatbots have ignited discussions and controversies about their impact on teaching and learning practices in higher education. This study explores students' adoption and perceptions of ChatGPT and other AI chatbots in higher education. Based on survey data from a large sample (n = 5894) across Swedish universities, the study employs descriptive statistical methods to analyze usage, attitudes, and concerns, and inferential statistics to identify relations between attitudes and usage and background variables (gender, academic level, and field of study). The results reveal broad awareness and use of ChatGPT among students, but not of other AI chatbots. More than half of the students...

From AI anxiety to strategic regulation: How university students transform generative AI into a strategic learning resource

Eunjeo Kim (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study examined how university students engaged with generative AI as a strategic learning resource in academic writing tasks, with particular attention to the role of AI anxiety. Using an explanatory sequential mixed-methods design, survey data and post-task written reflections were collected from 107 university students. The quantitative analysis examined the relationships among AI anxiety, evaluative capacity, ethical awareness, and regulatory engagement, while the qualitative analysis explored how students described verifying, revising, selectively adopting, or rejecting AI-generated content during actual academic writing tasks. The findings showed that AI anxiety was positively...

Using ChatGPT for second language writing: Experiences and perceptions of EFL learners in Thailand and Vietnam

Joel C. Meniado, Duong Thi Thu Huyen, Nopparat Panyadilokpong (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study explored the experiences and perceptions of Thai and Vietnamese EFL learners regarding the use of ChatGPT for second language (L2) writing. It aimed to contribute to the ongoing discourse on using generative Artificial Intelligence (GAI) tools to enhance L2 writing skills. Utilizing a mixed-methods research design with quantitative data gathered from 357 survey respondents from three educational institutions in Thailand and Vietnam and qualitative data from 16 interviewees from the same group of respondents, this study found that ChatGPT was perceived positively for L2 writing. Participants in the study found it a valuable tool for L2 writing, where its ability to generate ideas...

Building AI companions that prioritise learning over performance

Hassan Khosravi, Dragan Gašević, Shazia Sadiq (2026)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Generative AI, currently most visible in education through large language models (LLMs), is increasingly embedded in students’ everyday learning practices, supporting tasks such as writing, coding, reasoning, and analysis. Yet its educational value remains uncertain because systems designed to improve immediate task performance may also weaken the cognitive and metacognitive processes that support durable learning. This paper addresses this learning–performance paradox by asking how AI systems can be designed to support learning rather than merely produce better outputs. To address this, in this paper, we make three contributions. First, we synthesise current LLM-based study support with...