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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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Applying large language models and chain-of-thought for automatic scoring
Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu (2024)
Computers & Education: Artificial Intelligence 6
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación grandes modelos de lenguaje

Resumen:

Texto completo

This study investigates the application of large language models (LLMs), specifically GPT-3.5 and GPT-4, with Chain-of-Though (CoT) in the automatic scoring of student-written responses to science assessments. We focused on overcoming the challenges of accessibility, technical complexity, and lack of explainability that have previously limited the use of artificial intelligence-based automatic scoring tools among researchers and educators. With a testing dataset comprising six assessment tasks (three binomial and three trinomial) with 1,650 student responses, we employed six prompt engineering strategies to automatically score student responses. The six strategies combined zero-shot or few-...

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The cognitive impact of ChatGPT in higher education: A systematic review of critical and creative thinking outcomes
Changyue Li, Hang Cui, Linda Serra Hagedorn (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ChatGPT pensamiento crítico

Resumen:

Texto completo

This systematic review examines how ChatGPT influences university students' critical and creative thinking by synthesizing 67 empirical studies (2022-2025) following PRISMA guidelines. We applied a dual-lens framework distinguishing convergent (critical thinking) and divergent (creative thinking) processes. Analysis revealed that, ChatGPT supports cognitive development when embedded within inquiry-oriented and scaffolded instructional designs, especially through processes such as metacognitive regulation, argumentative reasoning, and idea generation, which in turn produce synergistic gains across both critical and creative domains. However, in unstructured contexts, researchers observed...

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Exploring student and teacher perceptions of ChatGPT use in higher education: A Q-Methodology study
Alma S. Espartinez (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

Resumen:

Texto completo

This study examined and categorized the views of students and teachers in Philippine Higher Education Institutions (HEIs) and correlated those with similar patterns of views regarding ChatGPT usage. While previous studies explored ChatGPT's risks and benefits, a significant gap remains in understanding how college students and educators perceive this technology for its culturally relevant and equitable integration into teaching and learning. Using Q-Methodology, 27 participants (15 students and 12 professors) were surveyed, interviewed, and invited to rank-order 36 statements about using ChatGPT. Three factors emerged from using factor analysis: Ethical Tech Guardians, Balanced Pedagogy...

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Enhancing AI literacy course satisfaction through empowerment in AI problem-solving and ethical awareness: Development and validation of an AI project-based learning scale
Jinyu Zhu, Siu-Cheung Kong (2026)
Computers & Education: Artificial Intelligence 11
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA aprendizaje basado en proyectos

Resumen:

Texto completo

The use of the project-based learning (PBL) approach in developing AI literacy is widely adopted. However, student satisfaction with AI literacy courses has not been thoroughly explored. This study addresses this gap by examining the associations between students’ perceived PBL, empowerment in using AI for problem-solving, AI ethical awareness, and satisfaction with AI literacy courses. A total of 1,027 secondary and university students from 102 secondary schools and a university in Hong Kong participated in an AI literacy course, among whom 446 provided complete data for the structural equation modelling (SEM) analysis. We developed a context-grounded scale to measure students’ perceptions...

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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 βœ•

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 βœ•

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
Detalles Cerrar βœ•

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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A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers
Xieling Chen, Haoran Xie, Gwo-Jen Hwang (2020)
Computers & Education: Artificial Intelligence 1
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa metodología de investigación

Resumen:

Texto completo

With the rapid development of artificial intelligence (AI) technologies and a continuously growing interest in their application in educational contexts, there has been significant growth in the scientific literature in relation to the application of AI in education (AIEd). This study aims to present multiple perspectives on the development of AIEd in terms of relevant grants, conferences, journals, software tools, article trends, top issues, institutions, and researchers to provide an overview of AIEd for its further development and implementation. With this study, we contribute to the research field by enabling educators and scholars to understand the status and development of relevant...

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Retrieval-augmented generation for educational application: A systematic survey
Zongxi Li, Zijian Wang, Weiming Wang (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial grandes modelos de lenguaje tecnología educativa

Resumen:

Texto completo

Advancements in large language models (LLMs) have transformed AI-driven education, enabling innovative applications across various learning and teaching domains. However, LLMs still face several challenges, including hallucination and static internal knowledge, which hinder their reliability in educational settings. Retrieval-Augmented Generation (RAG) enhances LLMs by retrieving relevant information from an external knowledge base and incorporating it into the LLM's generation process. This approach improves factual accuracy and enables dynamic knowledge updates, making LLMs particularly suitable for educational applications. In this paper, we comprehensively review existing research that...

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Knowledge tracing: A bibliometric analysis
Tongxi Liu (2022)
Computers & Education: Artificial Intelligence 3
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial analítica del aprendizaje tecnología educativa

Resumen:

Texto completo

With the advent of artificial intelligence, most of the main techniques have found their way into intelligent education. Knowledge tracing is one of the essential tasks in educational research, which aims to model and qualify students' procedural knowledge acquisition using machine learning or deep learning techniques. While numerous studies have focused on improving models and algorithms of knowledge tracing, few have thoroughly examined the dynamic and complex aspects of this research field. This study conducts a bibliometric analysis that included 383 key articles published between 1992 and 2021 to review the evolutionary nuances of knowledge tracing research. Besides, we employ document...

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