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  • 2025

Bibliografía: 2025

Nº de publicaciones: 636
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Systematically visualizing ChatGPT used in higher education: Publication trend, disciplinary domains, research themes, adoption and acceptance
Ting Ma (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Since it was released in November 2022, ChatGPT has been exerting revolutionary influence on the realm of higher education. In order to obtain a comprehensive understanding of the research landscape, we conduct a systematic literature review on the studies of ChatGPT used in higher education. Both quantitative and qualitative methods were adopted to bibliometrically examine the included literature selected from Web of Science and Scopus through the PRISMA protocol. Tools of VOSviewer and CitNetExplorer were employed to visualize the citation information. Our findings showed that the recent two years witnessed an ever-growing popularity of this research theme. Citation information analysis...

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Artificial intelligence, job seeker, and career trajectory: How AI-based learning experiences affect commitment of fresh graduates to be an accountant?
Agung Maulana, Rakotoarisoa Maminirina Fenitra, Slamet Sutrisno (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Integrating Artificial Intelligence (AI) into the accounting professions is reshaping traditional roles and skill requirements, prompting a reassessment of how graduates are prepared for these changes. However, a significant gap exists in understanding how AI-based learning in higher education curricula influences graduates' readiness and commitment to be accountants. Addressing this gap, this study aims to answer two pivotal questions: how do AI learning experiences affect AI self-efficacy and career commitment, and how do literacy, motivations, and competency factors mediate this relationship? This study grounds in Self-determination Theory (SDT) and Social Cognitive Career Theory (SCCT)...

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Towards the implementation of automated scoring in international large-scale assessments: Scalability and quality control
Ji Yoon Jung, Lillian Tyack, Matthias von Davier (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Even before the age of artificial intelligence, automated scoring received considerable attention in educational measurement. However, its application to constructed response (CR) items in international large-scale assessments (ILSAs) has remained a challenge, primarily due to the difficulty of handling multilingual responses spanning many languages. This study addresses this challenge by investigating two machine learning approaches — supervised and unsupervised learning — for scoring multilingual responses. We explored various scoring methods to assess three science CR items from TIMSS 2023 across all participating countries and 42 languages. The results showed that the supervised...

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A cross-country analysis of self-determination and continuance use intention of AI tools in business education: Does instructor support matter?
Egena Ode, Rabake Nana, Irene O. Boro (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study builds on the recent interest in AI adoption research in academic settings by highlighting the need for culturally sensitive AI educational tools. The study achieved this by demonstrating how cultural differences shape students' motivation and AI use. This study adopts a cross-country comparative analytical approach to explore postgraduate students’ motivation to continue using AI tools in the context of higher education. The study developed a theoretical model based on Self-Determination Theory (SDT) and Expectation Disconfirmation Theory (EDT) to explore how perceived competence, perceived relatedness and perceived autonomy influence the continuance use intention of AI tools in...

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How do LLMs perform in the context of MCQs across different levels of thinking skills in a business education course at higher education? A comparison of ChatGPT, Gemini, and Copilot
Laurens Goorts, Ryan Hollevoet, Vanessa Xia (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This exploratory study investigates the performance of three widely-used and freely available large language models (LLMs)— ChatGPT (GPT-3.5 Turbo), Gemini, and Copilot—in answering multiple-choice questions (MCQs) categorized by cognitive complexity based on the revised Bloom's Taxonomy. Although MCQs offer a structured, efficient, and scalable method for evaluation, a gap exists in the literature on how LLMs handle varying cognitive levels, particularly in a business course at higher education. Understanding LLM performance in this context is crucial, as students increasingly use LLMs for searching answers but also to receive tailored and scaffolded responses for an interactive and...

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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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Designing a model of sustainable education based on artificial intelligence in higher education
kamran Bagherimajd, Kosar khajedad (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial intelligence (AI) in higher education (HE) plays a role in promoting the sustainability of society by fostering innovation and preparing students for the digital age. In this regard, the aim of the present research has been to design an AI-based sustainable education (SE) model in HE. The research method was a monomethod design with multiple sequential, qualitative and qualitative phases. In the first part of the qualitative section, the meta-synthesis approach has been used in accordance with the findings of Springer, Emerald, and Elsevier international journals from 2000 to 2024. A total of 213 articles were reviewed and 39 articles were entered the final analysis. In the...

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AI tools and POE model in educational technology Learning: Exploring participant experiences using thematic analysis
Sandy I-Ching Wang, Eric Zhi-Feng Liu (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

In an era where international education trends increasingly prioritize the integration of artificial intelligence (AI), there is a critical need to understand how students effectively use these tools to foster innovative and deep learning. This study addresses this gap by investigating higher education students’ experiences with advanced AI tools within a nine-week instructional experiment structured by the Predict-Observe-Explain (POE) model. Our primary motivation was to explore how a structured, inquiry-based framework could scaffold the development of sophisticated AI literacy, guiding students toward strategic human-AI partnerships. We employed a qualitative case study design,...

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ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks
Fiammetta Caccavale, Carina L. Gargalo, Julian Kager (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Artificial Intelligence (AI) is rapidly and consistently becoming more integrated in various aspects of our lives. One of the areas where these systems are increasingly used is education. In fact, it is both being incorporated into specific curricula, allowing students the possibility to acquire skills within this field, and more recently AI has been used as a tool to facilitate the teaching and learning process. However, an increased demand and availability of these tools do not imply a successful switch from traditional to AI-supported learning.In this work, ChatGMP, a chatbot leveraging a Large Language Model (LLM) able to conduct an interview exercise in a Master's Degree course taught...

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Is GPT-4 fair? An empirical analysis in automatic short answer grading
Luiz Rodrigues, Cleon Xavier, Newarney Costa (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Short open-ended questions represent a central resource in formative and summative assessments both face-to-face and online settings, ranging from elementary to higher education. However, grading these questions remains challenging for instructors, raising attention to the field of Automatic Short Answer Grading (ASAG). While ASAG has yielded valuable contributions to learning analytics, it often faces generalizability issues. Accordingly, the rapid advancement in Large Language Models (LLMs) has motivated their adoption to empower ASAG systems. Despite that, previous research has not investigated whether LLMs are fair graders in the context of ASAG. Therefore, this paper presents an...

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