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  • 2026

Bibliografía: 2026

Nº de publicaciones: 473
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Rewriting the curriculum: A systematic review of generative AI-driven pedagogical change and emerging systems of learning in higher education
Alvedi Sabani, Mohamed H. Farah, Putra Endi Catyanadika (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The rapid rise of generative artificial intelligence (GenAI) tools such as ChatGPT is transforming the landscape of higher education. Beyond their immediate use in writing support and tutoring, these tools are driving a more profound transformation in pedagogy, curriculum design, and the foundational structures of learning itself. Drawing on a triangulated mixed-methods design, this study integrates a scoping review, bibliometric mapping (VOSviewer, n=209 records), a systematic literature review of 36 peer-reviewed articles (2023–2025), and ten semi-structured interviews with academic leaders and educators across five institutions in Australia and Indonesia. The central aim of the study is...

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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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Towards responsible AI in education: A Delphi-AHP-based framework for evaluating educational large language models
Pingrong Lin, Qin Deng, Yanbian Zhou (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As large language models (LLMs) become deeply integrated into the educational landscape, evaluation criteria focusing solely on performance are insufficient to mitigate the risks of value misalignment and socioethical concerns. To steer educational LLMs towards responsible and beneficial development, this study aims to construct a multidimensional evaluation framework grounded in educational theory. Initially, a preliminary pool of evaluation indicators was established on the basis of a review of the literature and pedagogical theories. The Delphi method was subsequently employed to refine the indicator structure by integrating opinions from 21 cross-disciplinary experts. The analytic...

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Value-sensitive design in action: Designing student-centered intelligent tutoring systems with community college students and instructors
Eunhye Grace Ko, Joan E. Hughes (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Amidst increased interest in AI ethics in education, we delve into the design of human-centered AI intelligent tutoring systems (ITS) through Value Sensitive Design (VSD). We conducted design activities, engaging in discussions with community college students, instructors, and field experts including developers, and data scientists. The research culminated 16 designs incorporating human-in-the-loop, explainable AI, and privacy controls, emphasizing student-centricity in ITS. The study highlights the historical oversight of student and instructor values in learning platform design, demonstrating how VSD can integrate student-centered perspectives into ITS to promote trust, privacy, and...

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An exploratory machine learning approach to understanding determinants of future ChatGPT use in higher education
Chaman Verma, Deepak Kumar (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

AI tools such as ChatGPT are used in the higher education increasingly yet the limited empirical evidence explains how the students incorporate these tools into their academic work. This study examines how students’ perceptions and demographic characteristics relate to their intended use of ChatGPT academically. The study focuses on understanding the educational meaning rather than maximizing the algorithmic performance. The survey data were collected from 166 university students for this purpose. It is analyzed to identify the key learning related constructs associated with ChatGPT use. An exploratory machine learning (ML) framework was applied to examine the relationships among these...

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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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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
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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Bias and representation in AI generated text-to-image in education: A systematic review
Lilach Alon, Dorit Hadar Shoval, Inbar Levkovich (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

AI generated text-to-image tools are rapidly entering educational settings, yet little is known about how their visual biases intersect with goals of equity, inclusion, and critical AI literacy. This systematic literature review maps and analyzes empirical studies that examine bias and representation in educational uses of AI generated text-to-image. Following PRISMA guidelines, we identified 31 peer reviewed studies published between 2023 and 2025 across K-12, higher education, and professional learning contexts. We used a six part analytic framework (gender; race, ethnicity, and socioeconomic status; culture and religion; age; body and (dis)ability; and content) to code how studies...

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In the AI era: A project-based digital storytelling framework for art and design education
Tian Yali, Tang Mengxiao, Li Gengrui (2026)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The ascent of generative artificial intelligence (AI) challenges art and design education to reaffirm the value of human creativity. This study proposes and examines a pedagogical response: a project-based learning (PBL) model with digital storytelling (DS) at its core, designed to cultivate the emotional, cultural, and narrative capacities that AI lacks. Conducted through an embedded case study of the 15-week “Creative Shanzhou” project with 426 Chinese undergraduate students, the research implemented a theoretically-grounded PBL-DS framework. Digital storytelling served as the primary methodology for students to translate local cultural heritage into emotionally resonant, multimodal...

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