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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora's box
Deema Dakakni, Nehme Safa (2023)
Computers & Education: Artificial Intelligence 5
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de lenguas ética

Resumen:

Texto completo

The purpose of this research was to investigate attitudes of both students and teachers concerning Artificial Intelligence (AI) tools in the L2 classroom. The study was a descriptive, qualitative, mixedmethods case study whose data were taken from a purposive, convenient sample at a private, English-speaking university during the Summer Semester 2023 in Beirut, Lebanon. Data collection primarily involved an online survey on Google forms which was given to a sample of 49 students taking a research-based English 202 course of which 46 were completed. Afterwards, six English teachers and six students were chosen based on their voluntary will to participate in individual interviews for the...

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Conversational AI in children's home literacy learning: effectiveness, advantages, challenges, and family perception
Shuang Quan, Xintian Tu-Shea, Yi Ding (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots grandes modelos de lenguaje

Resumen:

Texto completo

This study investigates the effectiveness, affordances, limitations, and family perceptions of conversational AI for home literacy learning vs. human. We developed a large language model (LLM)-powered conversational AI system, named Vovo, to teach children vocabulary and co-construct stories using structured literacy pedagogy. The system was tested in home environments over six weeks with 10 families and their children aged 3–7 (M = 5.4). Across 150 learning sessions, Vovo delivered structured literacy instruction as effectively as parents, though children achieved higher learning outcomes when learning with parents. Video analysis revealed Vovo's advantages in pedagogical consistency,...

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Machine learning for spelling acquisition: How accurate is the prediction of specific spelling errors in German primary school students?
Richard Boehme, Stefan Coors, Patrick Oster (2024)
Computers & Education: Artificial Intelligence 6
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ortografía alfabetización

Resumen:

Texto completo

In Germany (similar to other countries), 30 % of students demonstrate insufficient spelling skills at the end of primary school – partly owing to the challenge for teachers to manage a variety of students' learning needs. Digital tools using Machine Learning can enable teachers to individualise students' learning. However, there are still no suitable approaches for demographics of students who are not yet proficient in spelling.With an aim to adapt Machine Learning for students of all proficiencies, we investigate how accurately specific spelling errors can be predicted across different skill levels, and what the content-related reasons for incorrect predictions are.To that end, we...

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Examining the effect of ChatGPT usage on students’ academic learning and achievement: A survey-based study in Ajman, UAE
Enaam Youssef, Mervat Medhat, Soumaya Abdellatif (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

Resumen:

Texto completo

This research examines the use of ChatGPT among university-level students in the United Arab Emirates (UAE) and its effects on their learning experiences. The precise focus remains on the effects of ChatGPT usage on Student Engagement, Critical Thinking Abilities, and Academic Achievement. Using the cross-sectional design, the Constructivism Learning Theory supports this research. Data gathered using 353 structured questionnaires is analyzed using Partial Least Square-Structural Equation Modelling (PLS-SEM). Results showed that ChatGPT usage positively affects student engagement in the learning process. The effect of ChatGPT usage on Critical Thinking Abilities also remained significant....

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A mixed-methods analysis of AI scaffolding patterns and student inquiry profiles in a middle-school agriculture-STEM classroom
Selcuk Kilinc, Tugce Aldemir, Kamila Misiejuk (2026)
Computers & Education: Artificial Intelligence 11
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial andamiaje/scaffolding chatbots

Resumen:

Texto completo

This study examines how generative AI can support middle school scientific inquiry in a rural agriculture-STEM classroom. Using a mixed-methods design with concurrent data collection and sequential analytic integration, we analyzed 42 eighth-grade students, organized into 12 groups, as they used Aspen, a custom AI chatbot, to revise scientific research questions and hypotheses around a sustainable agriculture problem. Data sources included group project journals, AI interaction logs, and peer discussion transcripts. First, a two-dimensional profiling method categorized the 12 groups into four analytic profiles: Struggling, Most Improved, Perfectionists, and High Achievers, based on initial...

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What influences college students using AI for academic writing? - A quantitative analysis based on HISAM and TRI theory
Yulu Cui (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial escritura académica educación superior

Resumen:

Texto completo

Artificial intelligence (AI) technologies have been widely adopted as tools for academic writing, sparking interest in the factors that influence their adoption. However, existing research has predominantly focused on cognitive factors, such as perceived usefulness and ease of use, while giving insufficient attention to emotional motivations (e.g., perceived enjoyment, emotional engagement) in students' use of AI tools. This gap has led to a somewhat oversimplified or incomplete understanding of the factors influencing students' adoption of AI technologies. This study constructs a theoretical framework based on the Hedonic Information System Acceptance Model (HISAM) and the Technology...

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Addressing the use of generative AI in academic writing
Johan van Niekerk, Petrus M.J. Delport, Iain Sutherland (2025)
Computers & Education: Artificial Intelligence 8
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial escritura académica ChatGPT

Resumen:

Texto completo

The rise of generative AI has been a major disruptive force in academia. Academics are concerned about its impact on student learning. Students can use generative AI technologies, such as ChatGPT, to complete many academic tasks on their behalf. This could lead to poor academic outcomes as students use ChatGPT to complete assessments, rather than engaging with the learning material. One particularly vulnerable academic activity is academic writing. This paper reports the results of an active learning intervention where ChatGPT was used by students to write an academic paper. The resultant papers were then analysed and critiqued by students to highlight the weaknesses of such AI-produced...

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From procrastination to engagement? An experimental exploration of the effects of an adaptive virtual assistant on self-regulation in online learning
Eduard Pogorskiy, Jens F. Beckmann (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial tecnología educativa enseñanza en línea e híbrida

Resumen:

Texto completo en HTML

Compared to traditional classroom learning, success in online learning tends to depend more on the learner’s skill to self-regulate. Self-regulation is a complex meta-cognitive skill set that can be acquired. This study explores the effectiveness of a virtual learning assistant in terms of (a) developmental, (b) general compensatory, and (c) differential compensatory effects on learners’ self-regulatory skills in a sample of N = 157 online learners using an experimental intervention-control group design. Methods employed include behavioural trace data as well as self-reporting measures. Participants provided demographic information and responded to a 24-item self-regulation...

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How can we design for learning in an AI world?
Lucila Carvalho, Roberto Martinez-Maldonado, Yi-Shan Tsai (2022)
Computers & Education: Artificial Intelligence 3
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial diseño curricular alfabetización en IA

Resumen:

Texto completo

Fast improvements in computing power and Artificial Intelligence (AI) algorithms enable us to automate important decisions that shape our everyday lives, and drive workplace transformations. It is predicted that many people will find themselves unprepared to deal with high degrees of change and uncertainty, increasingly posed by AI in some sectors. A critical educational challenge involves figuring out how to support young generations to develop the capabilities that they will need to adapt to, and innovate in, a world with AI. This article argues that both educators and learners should be involved not only in learning but also in co-designing for learning in an AI world. Further, they...

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A machine learning framework for soft skills assessment: Leveraging serious games in higher education
Agostino Marengo, Alessandro Pagano, Vito Santamato (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial juegos evaluación

Resumen:

Texto completo

This study explores the use of serious games combined with machine learning techniques to evaluate student efficiency and determine appropriate degree programs. The main research question addressed is: How can predictive machine learning algorithms, applied to soft skills data collected through serious games, identify the most suitable study path for each student, thereby improving academic orientation and enhancing the likelihood of educational success? The research involved 211 university students from a single university in Italy, focusing on the application of predictive algorithms based on participants' soft skills and academic performance (GPA). The study employs logistic regression...

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