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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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How do LLMs perform in the context of MCQs across different levels of thinking skills in a business education course at higher education? A comparison of ChatGPT, Gemini, and Copilot
Laurens Goorts, Ryan Hollevoet, Vanessa Xia (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje ChatGPT

Resumen:

Texto completo

This exploratory study investigates the performance of three widely-used and freely available large language models (LLMs)— ChatGPT (GPT-3.5 Turbo), Gemini, and Copilot—in answering multiple-choice questions (MCQs) categorized by cognitive complexity based on the revised Bloom's Taxonomy. Although MCQs offer a structured, efficient, and scalable method for evaluation, a gap exists in the literature on how LLMs handle varying cognitive levels, particularly in a business course at higher education. Understanding LLM performance in this context is crucial, as students increasingly use LLMs for searching answers but also to receive tailored and scaffolded responses for an interactive and...

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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)
Computers & Education: Artificial Intelligence 5
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Resumen:

Texto completo

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...

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LLM sentiment quantification reveals selective alignment with human course-evaluation raters
Joyce W. Lacy, Chi Nnoka, Zachary Jock (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje procesamiento del lenguaje natural

Resumen:

Texto completo

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....

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Transforming language education: A systematic review of AI-powered chatbots for English as a foreign language speaking practice
Jinming Du, Ben Kei Daniel (2024)
Computers & Education: Artificial Intelligence 6
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots expresión oral

Resumen:

Texto completo

Artificial intelligence chatbots recently caused a stir in the world by promising to transform education systems in a multitude of ways. To analyze pertinent publications in the SSCI journals, a systematic review was conducted for this study, which investigates the trends of chatbots in education studies, with a focus on English speaking skills. Despite the increasing use of AI-powered chatbots in education, limited research has explored how to develop the merits of AI-powered chatbots in English-speaking teaching or learning. The empirical evidence of chatbot applications from 24 research studies conducted in an English-speaking learning environment and published between 2017 and 2023 was...

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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)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT expresión escrita

Resumen:

Texto completo

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...

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Building AI companions that prioritise learning over performance
Hassan Khosravi, Dragan Gaševiฤ‡, Shazia Sadiq (2026)
Computers & Education: Artificial Intelligence 11
Detalles Cerrar โœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial grandes modelos de lenguaje metacognición

Resumen:

Texto completo

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...

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Beyond accuracy: Multimodal modeling of structured speaking skill indices in young adolescents
Candy Olivia Mawalim, Chee Wee Leong, Guy Sivan (2025)
Computers & Education: Artificial Intelligence 8
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión oral evaluación

Resumen:

Texto completo

This study introduces a novel method for explainable speaking skill assessment that utilizes a unique dataset featuring video recordings of conversational interviews for high-stakes outcomes (i.e., admission to high schools and universities). Unlike traditional automated speaking assessments that prioritize accuracy at the expense of interpretability, our approach employs a new multimodal dataset that integrates acoustic and linguistic features, visual cues, turn-taking patterns, and expert-derived scores quantifying various speaking skill aspects observed during interviews with young adolescents. This dataset is distinguished by its open-ended question format, which allows for varied...

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Improving reading and comprehension in K-12: Evidence from a large-scale AI technology intervention in India
Venkat Srinivasan, Hemavathi Murthy (2021)
Computers & Education: Artificial Intelligence 2
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial comprensión lectora alfabetización

Resumen:

Texto completo

This paper presents evidence on the impact of technology-aided instruction on literacy using an AI-based multi-sensory technology platform across a large cross-section of government schools in India. The study focused on reading and comprehension in the English language. The intervention enhances the instructional effectiveness of the teachers and the learning ability of the children within the existing instructional environment without any new instructional design or pedagogy or content. Besides, the intervention is implemented by existing teachers and not outside volunteers.A total of 1 million children and 15,000 teachers across 5000 government schools in the states of Maharashtra, West...

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Designing a model of sustainable education based on artificial intelligence in higher education
kamran Bagherimajd, Kosar khajedad (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial sostenibilidad educación superior

Resumen:

Texto completo

Artificial intelligence (AI) in higher education (HE) plays a role in promoting the sustainability of society by fostering innovation and preparing students for the digital age. In this regard, the aim of the present research has been to design an AI-based sustainable education (SE) model in HE. The research method was a monomethod design with multiple sequential, qualitative and qualitative phases. In the first part of the qualitative section, the meta-synthesis approach has been used in accordance with the findings of Springer, Emerald, and Elsevier international journals from 2000 to 2024. A total of 213 articles were reviewed and 39 articles were entered the final analysis. In the...

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Needs and requirements for an additional AI qualification during dual vocational training: Results from studies of apprentices and teachers
Karin Julia Rott, Lena Lao, Efthymia Petridou (2022)
Computers & Education: Artificial Intelligence 3
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Resumen:

Texto completo

The integration of artificial intelligence (AI) in application-based contexts has created the need for skilled workers with AI knowledge and competencies. In order to meet this demand, it is necessary to integrate AI into vocational education and training (VET) in Germany, for example in the form of an additional AI qualification. Such an additional qualification in the field of AI in the VET system is innovative and comparatively new. Therefore, this article explores the views of both teachers and apprentices regarding the requirements for an additional AI qualification, - perspectives which have not been sufficiently researched, yet. Results from a mixed-methods needs analysis based on...

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