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Bibliografía: herramientas

Nº de publicaciones: 228
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U.S. college students’ acceptability and educational benefits of ChatGPT from a digital divide perspective
Ceciley (Xinyi) Zhang, Laurent H. Wang, Ronald E. Rice (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

ChatGPT has diffused widely and rapidly, with diverse positive and negative implications. In educational settings it is important to understand students' perceptions of the acceptability of ChatGPT for various learning activities and to examine whether prior digital divide concerns pertain to this digital innovation, in order to provide guidance for users, inform policymakers and other stakeholders, and extend digital divide research. The purpose is to investigate the associations of socioeconomic status (SES, both family and student), gender, and race/ethnicity with students’ perceived acceptability of common ChatGPT activities as well as their opinion about how beneficial ChatGPT is for...

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Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model
Chung Yee Lai, Kwok Yip Cheung, Chee Seng Chan (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Background: ChatGPT, a powerful artificial intelligence chatbot, has great potential for active learning because of its ability to generate instant responses to academic inquiries and foster spontaneous interactions. Purpose: This exploratory study investigated the roles of intrinsic motivation and factors of the technology acceptance model that influence ChatGPT acceptance for active learning among undergraduates in Hong Kong. Method: Using a structural equation modeling approach, we examined the extended technology acceptance model in the context of higher education. Using self-report questionnaires, we obtained useful responses from 473 undergraduate students in Hong Kong in July 2023....

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Integrating the adapted UTAUT model with moral obligation, trust and perceived risk to predict ChatGPT adoption for assessment support: A survey with students
Chung Yee Lai, Kwok Yip Cheung, Chee Seng Chan (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

ChatGPT stands out among other AI technology tools to provide assessment support in the higher education context. This exploratory study investigates the motivators and barriers which influence the use intention of ChatGPT for assessment support among undergraduates in Hong Kong. We tested the adapted and extended UTUAT model using the structural equation modeling approach. Through self-report online questionnaire, we received usable responses from 483 undergraduates of eight Hong Kong universities.In a highly competitive Chinese context, assessment results hold immense significance in determining the value and merit of students. The findings reveal that trust acts as the strongest...

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The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation
Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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ChatGPT (generative pre-trained transformer) is one of the artificial intelligence (AI) technologies that have started to be used in programming education. However, the effect of using ChatGPT in programming education on learning processes and outcomes is not yet known. This study investigated the effect of programming education using the ChatGPT on students' computational thinking skills, programming self-efficacy, and motivation toward the lesson. The research was conducted on 45 undergraduate students who took a university-level programming course. The research was carried out according to the experimental design with the pretest-posttest control group. Students were randomly...

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Generative AI in higher education: Seeing ChatGPT through universities' policies, resources, and guidelines
Hui Wang, Anh Dang, Zihao Wu (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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The advancements in Generative Artificial Intelligence (GenAI) can provide opportunities for enriching educational experiences, but at the same time raise concerns regarding academic integrity. Many educators have expressed anxiety and hesitation when it comes to integrating GenAI in their teaching practices. Thus, recommendations and guidance from institutions are needed to support instructors in this new and emerging GenAI era. In response to this need, this study explores different U.S. universities' academic policies and guidelines regarding the use of GenAI tools (e.g., ChatGPT) for teaching and learning, and from there, gains understanding of how these universities respond and adapt...

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Generative AI in higher education: A bibliometric review of emerging trends, power dynamics, and global research landscapes
Kun Dai, Yabing Liu, Xiaofan Zhang (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

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The rapid evolution of Generative Artificial Intelligence (GenAI) is reshaping higher education (HE), offering transformative opportunities for academic engagement while posing significant challenges to academic integrity, ethical frameworks, and global research power dynamics. This study maps the recent (2022–2025) research landscape of GenAI in HE through a bibliometric analysis of 2762 articles from the Web of Science Core Collection. Employing multipolarity as an analytical lens, this study examines the power dynamics within this research domain reflected by publication records from different countries (or regions). Findings highlight surging global interest in GenAI in HE, with...

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Examining the relationship between the L2 motivational self system and technology acceptance model post ChatGPT introduction and utilization
Jerry Huang, Atsushi Mizumoto (2024)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Since the introduction of the L2 Motivational Self System (L2MSS), numerous studies worldwide have highlighted its effectiveness in elucidating Second Language Acquisition. However, the influence of generative artificial intelligence (GenAI) technology on this model remains largely unexplored. The Technology Acceptance Model (TAM) is a widely employed framework for examining the impact of a new technology, and this study explores the intercorrelation when these two models are considered together. Conducted with 35 s-year university English as a foreign language (EFL) students in humanities, the study involved two sessions of instructor-led ChatGPT usage writing workshops, followed by the...

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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
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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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Fine-tuning ChatGPT for automatic scoring
Ehsan Latif, Xiaoming Zhai (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study highlights the potential of fine-tuned ChatGPT (GPT-3.5) for automatically scoring student written constructed responses using example assessment tasks in science education. The application of ChatGPT in research and academic fields has greatly enhanced productivity and efficiency. Recent studies on ChatGPT based on OpenAI's generative model GPT-3.5 proved its superiority in predicting the natural language with high accuracy and human-like responses. GPT-3.5 has been trained over enormous online language materials such as journals and Wikipedia; however, direct usage of pre-trained GPT-3.5 is insufficient for automatic scoring as students do not utilize the same language as...

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ChatGPT in higher education learning: Acceptance and use
Akhmad Habibi, Muhaimin Muhaimin, Bernadus Kopong Danibao (2023)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This paper examines the determinants that drive ChatGPT use in learning among Indonesian Higher Education Institutions (HEIs) students. A proposed model based on the unified theory of acceptance and use of technology model-2 (UTAUT2) was used in the context of the study. A pilot study was done prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1117 responses were analyzed through Partial Least Square Structural Equation Modeling (PLS-SEM) and Importance-Performance Analysis (IPMA). Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of Behavioral Intention (BI) to...

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