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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Integrating generative AI in knowledge building
Bodong Chen, Xinran Zhu, Fernando Díaz del Castillo H. (2023)
Computers & Education: Artificial Intelligence 5
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación primaria y secundaria

Resumen:

Texto completo

Generative artificial intelligence (GenAI) is penetrating in various social sectors, motivating a strong need for teaching AI literacy in younger generations. While substantial efforts have been made to teach AI literacy and to use AI to facilitate learning, few studies have provided empirical accounts of students' nuanced processes of using GenAI for learning. In this study, we engaged a group of high school students in leveraging ChatGPT to support their knowledge building efforts. Following the teacher's pedagogical design, students used ChatGPT for a range of distinct purposes. Student interviews showed detailed processes of using ChatGPT for knowledge building and students' emerging AI...

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A systematic review of conversational AI tools in ELT: Publication trends, tools, research methods, learning outcomes, and antecedents
Wan Yee Winsy Lai, Ju Seong Lee (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

Resumen:

Texto completo

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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“I just think it is the way of the future”: Teachers' use of ChatGPT to develop motivationally-supportive math lessons
Teomara Rutherford, Andrew Rodrigues, Santiago Duque-Baird (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT profesorado

Resumen:

Texto completo

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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Human-AI collaboration in higher education: Exploring the impact of technology expectations and distrust
Liana Razmerita, Xiaojiang Zheng, Jonathan P. Allen (2026)
Computers & Education: Artificial Intelligence 11
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior creencias y actitudes de los estudiantes

Resumen:

Texto completo

Drawing on expectation confirmation theory (ECT), this study explores the factors that impact Human-Artificial Intelligence (AI) collaboration and investigates the effect of students' distrust towards GenAI. An online survey was administered to students in higher education using GenAI (N = 245). This study found positive and significant relationships between effort expectation and performance expectation, as predicted by ECT, with positive confirmation of GenAI collaboration significantly influencing intentions and positively impacting student behavior. This study further revealed that GenAI distrust negatively moderates the relationships between (1) effort expectation and performance...

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Beyond tool use: Tracking the evolution of generative AI literacy among university students through a process-oriented investigation
Wanxin Yan, Taira Nakajima, Ryo Sawada (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación superior

Resumen:

Texto completo

This study addresses the gap between the theoretical framework of Generative Artificial Intelligence (GenAI) literacy and its practical development, by investigating how university students in the humanities acquire and refine GenAI-related knowledge, skills, and attitudes. Through a 16-week intervention structured into three progressive phases, 16 students engaged with multiple GenAI tools while developing competencies in research and academic writing. The data collection included structured GenAI dialogues, periodic questionnaires, reflective assignments, and in-depth interviews. The findings revealed three interconnected dimensions of GenAI literacy development. Students internalized and...

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Automatic feedback in online learning environments: A systematic literature review
Anderson Pinheiro Cavalcanti, Arthur Barbosa, Ruan Carvalho (2021)
Computers & Education: Artificial Intelligence 2
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial feedback/retroalimentación enseñanza en línea e híbrida

Resumen:

Texto completo

Feedback is an essential component of scaffolding for learning. Feedback provides insights into the assistance of learners in terms of achieving learning goals and improving self-regulated skills. In online courses, feedback becomes even more critical since instructors and students are separated geographically and physically. In this context, feedback allows the instructor to customize learning content according to the students' needs. However, giving feedback is a challenging task for instructors, especially in contexts of large cohorts. As a result, several automatic feedback systems have been proposed to reduce the workload on the part of the instructor. Although these systems have...

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A LLM-based pedagogical framework for active, inquiry-based and adaptive learning in L2 writing
Ruonan Wang, Yan Yin, Yongbo Cao (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión escrita ChatGPT

Resumen:

Texto completo

Traditional L2 writing instruction often struggles to provide personalized, process-oriented feedback and engage student motivation. While generative AI like ChatGPT offers a potential solution, its application lacks a robust pedagogical foundation. This study proposes an innovative framework that integrates ChatGPT into L2 writing through a synthesis of active, inquiry-based, and adaptive learning principles. Within the framework, learners occupy the central position, undergoing the teaching implementation of LLM-based six-step writing instruction process to inquisitively learn, experiencing the teaching assessment of three-dimensional writing evaluation to actively acquire, and benefiting...

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A systematic literature review: Recent techniques of predicting STEM stream students
Norismiza Ismail, Umi Kalsom Yusof (2023)
Computers & Education: Artificial Intelligence 5
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje tecnología educativa

Resumen:

Texto completo

Nowadays, fewer students are choosing to enroll in STEM (science, technology, engineering, and mathematics) fields. STEM students in schools and in higher educational institutions appear to be waning, as evidenced by low secondary school STEM enrolments. To add to this, there are also STEM stream students who dropped out and switched to non-STEM streams. This resulted in a shortage of qualified candidates for STEM-based higher education programmes, and subsequently an insufficient number of STEM graduates. Researchers have found several potential contributing factors that may have impacted students’ selection of STEM. However, this relationship is still unclear and needs further...

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Can AI provide useful holistic essay scoring?
Tamara P. Tate, Jacob Steiss, Drew Bailey (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión escrita evaluación

Resumen:

Texto completo

Researchers have sought for decades to automate holistic essay scoring. Over the years, these programs have improved significantly. However, accuracy requires significant amounts of training on human-scored texts—reducing the expediency and usefulness of such programs for routine uses by teachers across the nation on non-standardized prompts. This study analyzes the output of multiple versions of ChatGPT scoring of secondary student essays from three extant corpora and compares it to quality human ratings. We find that the current iteration of ChatGPT scoring is not statistically significantly different from human scoring; substantial agreement with humans is achievable and may be...

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Navigating the future: Exploring in-service teachers' preparedness for artificial intelligence integration into South African schools
Musa Adekunle Ayanwale, Sibusiso D. Ntshangase, Owolabi Paul Adelana (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Resumen:

Texto completo

This study contributes to existing research on how to integrate Artificial intelligence (AI) into school systems globally. This research explores in-service teachers' preparedness for integrating artificial intelligence into schools. We conducted this research within the context of the South African school system with teachers of various specializations, including sciences, social Sciences, mathematics, and languages. Drawing on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2), we gathered teachers' perspectives through eight variables of technology integration, social influence, AI ethics, attitudes, TPACK, perceived self-efficacy, AI professional development, and...

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