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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Sequential, typological, and academic dynamics of self-regulated learners: Learning analytics of an undergraduate chemistry online course
Ken-Zen Chen, Shao-Chi Li (2021)
Computers & Education: Artificial Intelligence 2
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial aprendizaje autónomo enseñanza en línea e híbrida

Resumen:

Texto completo

This research explored the typologies of self-regulated learners in an asynchronous online Chemistry I (OCI) course of an undergraduate active learning program. Student readiness and capability regarding self-regulated learning (SRL), the activity logs in the learning management system, and academic achievement were collected to investigate behavioral sequences of different typologies of learning self-regulation. Seventeen students who took OCI in the 2019 school year were recruited for the study. Through learning analytics for the 3965 behavioral codes, the study generated three key results. First, hierarchical cluster analysis classified two typologies of self-regulated online learners:...

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Human and artificial cognition
George Siemens, Fernando Marmolejo-Ramos, Florence Gabriel (2022)
Computers & Education: Artificial Intelligence 3
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial cognición y procesamiento

Resumen:

Texto completo

Predictions of the timelines for when machines will be able to perform general cognitive activities that rival humans, or even the arrival of “super intelligence”, range from years to decades to never. For researchers in the education sector, the potential future state of AI, while provocative, is secondary to important shorter-term questions that influence how AI is integrated into learning and knowledge practices such as sensemaking and decision making. AI is not a future technology. It is already present in our daily lives, often shaping, behind the scenes, the types of information we encounter. It is, therefore, important to consider immediate questions surrounding the dynamics of human...

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Artificial intelligence ethical awareness of university students in Ghana: A network and latent profile analyses
Bernard Yaw Sekyi Acquah, Iddrisu Salifu, Francis Arthur (2026)
Computers & Education: Artificial Intelligence 11
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética educación superior

Resumen:

Texto completo

Artificial intelligence is becoming increasingly integrated into students’ academic lives in Ghana, making it crucial to examine their perspectives on ethical dimensions. Against this backdrop, this study assesses the artificial intelligence ethical awareness (AIEA) among 509 Ghanaian university students across the dimensions of human autonomy, beneficence, and fairness, based on AIEA scale originally developed and validated in Hong Kong. The confirmatory factor analysis supported the scale’s three-factor structure within this setting. The network analysis also demonstrated meaningful interconnection among the dimensions, with select items serving as conceptual links, most prominently tying...

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Teaching AI awareness in middle school classrooms: Design, implementation and evaluation of two education modules on algorithmic bias and filter bubbles
Mehtab Iqbal, Khushbu Singh, Sushmita Khan (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA ética

Resumen:

Texto completo

The nascent digital footprints of adolescents make them particularly susceptible to being misrepresented by AI systems. We design, implement, and evaluate two educational modules on the causes and consequences of two particularly salient types of AI misrepresentation: algorithmic biases and filter bubbles. We implement these modules in middle school math and computer science classrooms by integrating our materials with the existing curricula and curricular requirements of the partner school. This integration, as well as the many confounding factors of the classroom, are nontrivial problems that have heretofore not been considered in privacy education research and required us to adopt...

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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
Detalles Cerrar βœ•

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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Trajectories of AI policy in higher education: Interpretations, discourses, and enactments of students and teachers
Jack Tsao (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior integridad académica

Resumen:

Texto completo

Generative artificial intelligence (GenAI) in higher education has introduced a spectrum of ethical challenges, significantly impacting learning outcomes, pedagogies, and assessments. Based on the experiences and perspectives of students and teachers at a research-intensive university in Hong Kong, the study draws on qualitative interview data with 58 undergraduate and graduate students and 12 teachers conducted in early 2025. Through the concept of policy trajectories (Ball, 1993; Ball et al., 2012), the research analyses the interconnections between material contexts and discursive constructions in how AI policies (and their absence) are framed, interpreted, enacted, and resisted. The...

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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 βœ•

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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A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching
Belle Li, Victoria L Lowell, Chaoran Wang (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ChatGPT enseñanza/aprendizaje de lenguas

Resumen:

Texto completo

This systematic review aims to explore published research on the use of ChatGPT in language learning between November 2022 and November 2023, outlining the types of papers, methodologies adopted, publishing journals, major research trends, topics of interest, and existing gaps demanding attention. The PRISMA framework was utilized to capture the latest published articles, selecting 36 articles that met the inclusion criteria. Findings extracted from this review include (1) authors worldwide contribute to this topic, with Asia and North America leading; (2) the wide distribution across various journals underscores the interdisciplinary nature of this research topic, such as computer science...

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From knowledge gaps to learning opportunities: Leveraging student questions and dual use of generative AI to support student learning at scale
Stanislav Pozdniakov, Jonathan Brazil, Oleksandra Poquet (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje feedback/retroalimentación

Resumen:

Texto completo

University courses with hundreds of students have become common, particularly during early years of university studies. The sheer scale of these courses limits traditional instruction, shifting it towards a one-to-many mode of delivery. This shift reduces student–instructor interaction and tailored instructor feedback which are crucial for student success. Automated feedback systems allow scaling feedback, but they often reduce instructor contributions to student learning. This paper investigates how emerging technologies can support, rather than replace, instructors in tailoring their teaching and feedback to identify and correct student knowledge gaps at scale. To address this challenge,...

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RICE AlgebraBot: Lessons learned from designing and developing responsible conversational AI using induction, concretization, and exemplification to support algebra learning
Chenglu Li, Wanli Xing, Yukyeong Song (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots grandes modelos de lenguaje

Resumen:

Texto completo

The importance and challenge of Algebra learning is widely recognized, with students across the U.S. facing difficulties due to the subject's complexity. While extensive research has focused on enhancing Algebra learning in K-12 education, the reusability, scalability, and effectiveness of the strategies employed (e.g., manual interventions and digital tutoring platforms) remain limited. Conversational AI (ConvAI), enabled by the advancement of large language models (LLMs), emerges as a potential tool for automatic, personalized, and effective student support. However, ethical concerns surrounding diversity, safety, sentiment, and stereotype associated with ConvAI are prominent, and...

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