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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Factors affecting acceptance of ChatGPT-4o by English language instructors: The extended TAM approach
Eylem Kฤฑlฤฑç, H. Eray Çelik (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT creencias y actitudes de los profesores

Resumen:

Texto completo

Artificial intelligence-based educational technologies, especially ChatGPT-4o, have the potential to revolutionize education, and the adoption of these technologies is closely related to perceptual and emotional status of the users. The present study investigated the factors affecting the adoption of ChatGPT-4o by English language instructors in Turkey using Extended Technology Acceptance Model. Stratified sampling was used to select 30 universities in the “Social Sciences and Humanities-Language and Literature” category, with quality scores between 20 and 60. A total of 480 English Language Instructors employed at the Schools of Foreign Languages at these universities participated in the...

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Using chatbots for English language learning in higher education
Nagaletchimee Annamalai, Radzuwan Ab Rashid, Umair Munir Hashmi (2023)
Computers & Education: Artificial Intelligence 5
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

Resumen:

Texto completo

Despite the advancement of Chatbot technology, little is known about its affordances for language learning, especially in the context of Malaysian higher education institutions. Adapting the Push-Pull Mooring-Habit (PPMH) theoretical framework, this mixed-methods study examined Malaysian university students' experience in using Chatbots for English language learning, focusing on four main aspects; Performance Expectancy, Effort Expectancy, Social Isolation and Covid-19 Fear. A total of 360 undergraduate students from three public universities in Malaysia completed the questionnaire after being engaged with chatbots for three months. Twenty of them were also interviewed for an in-depth...

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The effectiveness of an AI-integrated VR oral training application in reducing public speaking anxiety and interview anxiety
Peiwen Huang, Yanling Hwang, Jui Ling Hsu (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión oral factores afectivos

Resumen:

Texto completo

Despite the growing importance of English oral communication skills, traditional language learning approaches show limited effectiveness in simultaneously addressing psychological barriers and speaking proficiency among college students. While previous studies have explored anxiety reduction or speaking enhancement separately, a significant gap exists in research examining integrated approaches that tackle Public Speaking Anxiety (PSA), Interview Anxiety, and English-speaking proficiency improvement simultaneously. This study investigated whether an AI-integrated VR oral training application could effectively address these interconnected challenges. A quasi-experimental design was employed...

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Presenting your AI in education research with rigor: The TEP-AIED model
Gwo-Jen Hwang, Haoran Xie, Benjamin W. Wah (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar โœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial metodología de investigación ética

Resumen:

Texto completo

The rapid expansion of Artificial Intelligence in Education (AIED), particularly with the emergence of generative AI, has intensified the need for rigorous, transparent, and pedagogically grounded research reporting. Although existing frameworks offer valuable guidance on ethical responsibility or technical disclosure, they may be complex, fragmented, or difficult to operationalize in empirical and experimental contexts. This paper proposes the TEP (Transparency-Ethics-Pedagogy)-AIED model, a streamlined three-dimensional framework integrating transparency, ethics, and pedagogy to guide the design and reporting of AIED studies. The model highlights clear disclosure of AI system...

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Large language models meet user interfaces: The case of provisioning feedback
Stanislav Pozdniakov, Jonathan Brazil, Solmaz Abdi (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial feedback/retroalimentación grandes modelos de lenguaje

Resumen:

Texto completo

Incorporating Generative Artificial Intelligence (GenAI), especially Large Language Models (LLMs), into educational settings presents valuable opportunities to boost the efficiency of educators and enrich the learning experiences of students. A significant portion of the current use of LLMs by educators has involved using conversational user interfaces (CUIs), such as chat windows, for functions like generating educational materials or offering feedback to learners. The ability to engage in real-time conversations with LLMs, which can enhance educators' domain knowledge across various subjects, has been of high value. However, it also presents challenges to LLMs' widespread, ethical, and...

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The agency gap in AI-supported writing: How reactive and proactive agent designs shape multimodal reasoning
Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado (2026)
Computers & Education: Artificial Intelligence 11
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión escrita alfabetización en IA

Resumen:

Texto completo

Generative AI is becoming part of academic writing, but its educational value depends on how control is shared between learner and system. This study examined an agency gap : performance differences that may arise when AI agent initiative is misaligned with learners’ generative AI literacy. Seventy-nine medical and nursing students completed two multimodal analytical writing tasks using healthcare simulation data visualisations. They were randomly assigned to a reactive agent that responded only when prompted or a proactive agent that provided sequenced questions and feedback. Generative AI literacy was measured using the validated 20-item Generative AI Literacy Assessment Test. Epistemic...

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A cross-national assessment of artificial intelligence (AI) Chatbot user perceptions in collegiate physics education
Benjamin Agyare, Joseph Asare, Amani Kraishan (2025)
Computers & Education: Artificial Intelligence 8
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT chatbots

Resumen:

Texto completo

This study explores the perception of artificial intelligence (AI)-based Chatbots, specifically Open AI's ChatGPT use, among physics students in four universities in Ghana, Jordan, and the United States. We utilized a survey instrument adapted from the Technology Acceptance Model (TAM) to elicit responses from 804 students. TAM constructs: Perceived Usefulness (PU), Perceived Ease of Use (PEU), Subjective Norms (SN), Attitude Towards Technology Use (ATU), Behavioral Intention (BI), and User Behavior (UB) were assessed. We also assessed perceptions of ethical use (EU) and student learning outcomes (SLO) using a Structural Equation Model (SEM) approach. A measurement model had good fit...

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An early investigation of collaborative problem solving in conversational AI-mediated learning environments
Sinem Aslan, Nese Alyuz, Belle Li (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación infantil aprendizaje colaborativo

Resumen:

Texto completo

Collaborative problem solving (CPS) encourages children to communicate effectively and fosters creativity and critical thinking. New digital technologies can potentially provide opportunities for innovative ways to promote CPS at an early age. However, one key challenge of such technologies is to be engaging and effective while also pedagogically adapting to developmental needs of young learners. In this paper, we propose that a multimodal conversational AI system, Kid Space, providing interactive learning experiences could enrich CPS and promote positive educational outcomes. Kid Space combines multimodal classroom sensing with a projected 3D virtual environment and an animated...

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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 โœ•

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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Exploring the “what” and “how” of opportunities and challenges of AI in EFL teacher education
Sina Omidvar, Hussein Meihami (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores profesorado

Resumen:

Texto completo

Artificial Intelligence (AI) has significantly impacted second language education, including English as a foreign language (EFL) teaching and learning. Although various studies have been conducted to examine the opportunities and challenges of AI in EFL teaching and learning, comparable work on the opportunities and challenges of AI in EFL teacher education is limited. This study aimed to explore the “what” and “how” of opportunities and challenges of AI in EFL teacher education. To that end, we used descriptive narrative design in which we collected autobiographical narratives and conducted semi-structured interviews with 35 EFL teachers, four EFL teacher educators, and four computer...

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