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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 569

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How AI literacy correlates with affective, behavioral, cognitive and contextual variables: A systematic review
Arne Bewersdorff, Claudia Nerdel, Xiaoming Zhai (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar โœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA factores afectivos

Resumen:

Texto completo

This systematic review maps the empirical landscape of AI literacy by examining its correlations with a diverse array of affective, behavioral, cognitive and contextual variables. Building on the review of AI literacy scales by Lintner (2024), we analyzed 31 empirical studies that applied six of those AI literacy scales, covering 14 countries and a range of participant groups. Our findings reveal robust correlations of AI literacy with AI self-efficacy, positive AI attitudes, motivation, and digital competencies, and negative correlations with AI anxiety and negative AI attitudes. Personal factors such as age appear largely uncorrelated with AI literacy. The review reveals measurement...

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Future research recommendations for transforming higher education with generative AI
Thomas K.F. Chiu (2024)
Computers & Education: Artificial Intelligence 6
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior ChatGPT

Resumen:

Texto completo

Higher education is crucial for producing ethical citizens and professionals globally. The introduction of generative AI (GenAI), such as ChatGPT, has posed opportunities and challenges to the traditional model of education. However, the current conversations primarily focus on policy development and assessment, with limited research on the future of higher education. GenAI's impact on learning outcomes, pedagogy, and assessment is crucial for reforming and advancing the workforce. This qualitative study aims to investigate student perspectives on GenAI's impact on higher education. The study uses an initial conceptual framework driven by a systematic literature review to investigate the...

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A framework for evaluation of large language models in essay assessment: Reliability, alignment, and causal reasoning
Tongxi Liu, Luyao Ye, Wei Yan (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión escrita evaluación

Resumen:

Texto completo

Recent advances in large language models have revitalized research on automated essay evaluation, yet critical concerns remain regarding their reliability, validity, and interpretability. This study presents a comparative analysis of five LLMs (GPT-4.1, Llama 4 Maverick, Gemini 2.5 Flash, Claude Sonnet 4, and DeepSeek R1) in the assessment of long English essays authored by non-native speakers in higher education. The analysis draws on LLM-generated scores for 60 essays to examine (a) intra-model reliability across repeated scoring runs, (b) the degree of alignment between model outputs and expert human ratings, and (c) causal feature dependencies that clarify how linguistic characteristics...

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Exploring ChatGPT adoption among business and management students through the lens of diffusion of Innovation Theory
Alaa Amin Abdalla, Mohd Abass Bhat, Chandan Kumar Tiwari (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

Resumen:

Texto completo

Purpose: this study aims to present an innovative approach (Diffusion of Innovation Theory) to investigate the adoption of ChatGPT by business and management students. The theory emphasizes integrating the variables Viz. relative advantage, compatibility, complexity, trialability, observability, attitude, and intention to adopt ChatGPT in the context of management education. Method: ology: a non-probability purposive sample of 383 students enrolled in management of Indian public and private institutions was taken to conduct survey to administer questionnaires. Partial Least Square-Structural Equation Modelling was employed to analyze the data using Smart PLS software. Findings: the findings...

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Factors influencing university students’ intention to use and reliance on generative artificial intelligence: An extended technology acceptance model with critical use
Trang H. Nguyen, Long T. Truong, Nhu H.T. Nguyen (2026)
Computers & Education: Artificial Intelligence 10
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior creencias y actitudes de los estudiantes

Resumen:

Texto completo

In light of the growing popularity, accessibility, and utility of Generative Artificial Intelligence (GenAI) tools, their impact on learning can be either supportive or detrimental, depending on how students use them. This calls for an examination of students’ intention to use and reliance on GenAI to inform timely interventions within higher education to ensure favourable learning outcomes. This study investigates factors influencing intentions to use and reliance on GenAI among Engineering and Computer Science/ Information Technology (CS/IT) students. Drawing on an extended Technology Acceptance Model (TAM), the study integrates the construct of critical use and conceptualises reliance...

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Teachers’ generative AI self-efficacy, valuing, and integration at work: Examining job resources and demands
Rebecca J. Collie, Andrew J. Martin, Dragan Gaševiฤ‡ (2024)
Computers & Education: Artificial Intelligence 7
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial profesorado creencias y actitudes de los profesores

Resumen:

Texto completo

Generative AI (genAI) tools have involved rapid and broad uptake since their wide release in late 2022, including among teachers. We investigated several factors that play a role in teachers’ motivation and engagement to harness genAI in teaching and learning. We examined contextual factors (in-school support to apply genAI, time pressure, disruptive student behavior) as predictors of motivation (genAI self-efficacy and genAI valuing) and, in turn, engagement (i.e., genAI integration in teaching-related work and student learning activities) over the course of one school term. Among 368 Australian primary and secondary school teachers, our findings revealed that genAI support was associated...

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Empowering preservice teachers’ AI literacy: Current understanding, influential factors, and strategies for improvement
Bo Pei, Jie Lu, Xilong Jing (2025)
Computers & Education: Artificial Intelligence 8
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Resumen:

Texto completo

Artificial Intelligence (AI) holds significant potential in transforming future educational practices by enhancing teaching and learning. However, its full realization heavily depends on teachers' AI literacy, which significantly influences their engagement levels with AI technologies and their abilities to adopt AI technologies effectively in similar settings. In this study, we conduct a holistic analysis examining pre-service teachers' AI literacy for providing insights about current understanding of AI technologies, perceptions of the applications of AI in education, ethical issues and strategies for effectively enhancing AI literacy. Guided by Bloom's Taxonomy, a comprehensive, layered...

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Children as creators, thinkers and citizens in an AI-driven future
Safinah Ali, Daniella DiPaola, Irene Lee (2021)
Computers & Education: Artificial Intelligence 2
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

Texto completo

Generative Artificial Intelligence (AI) approaches open up new avenues of digital creation, and are simultaneously accompanied by societal and ethical implications such as the creation of Deepfakes and spread of misinformation, renewing our understanding of technical AI systems as socio-technical systems. Applications of, and media generated by generative AI techniques are abundantly present on social media platforms frequented by children, who are not yet aware of the existence of AI-manipulated media. Previous work has highlighted the importance of digital media literacy and AI literacy for children. In this work, we introduce middle school students to generative AI techniques as a tool...

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A hybrid MCDM approach for unveiling ChatGPT's effect on students' learning
Jannatul Ferdous Mim, Md. Mohibul Islam, Aizizul Haque Raza (2025)
Computers & Education: Artificial Intelligence 9
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT estrategias de aprendizaje

Resumen:

Texto completo

The education sector received significant benefits from ChatGPT as an Artificial Intelligence (AI) chatbot because it strengthens human-machine teamwork while making education more efficient and adapting to individual students and reducing their workload. This research paper focuses on investigating three primary research objectives concerning the integration of ChatGPT into educational settings. Firstly, the study aims to assess the effects of ChatGPT on students' learning outcomes with identifying the main cause and effect impacts. Secondly, it seeks to identify and analyze various strategies that can be employed to effectively utilize ChatGPT for educational purposes. Lastly, the...

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Are deeper reflectors better goal-setters? AI-empowered analytics of reflective writing in pharmaceutical education
Yuheng Li, Mladen Rakoviฤ‡, Wei Dai (2023)
Computers & Education: Artificial Intelligence 5
Detalles Cerrar โœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial aprendizaje autónomo expresión escrita

Resumen:

Texto completo

Reflection and goal-setting are interrelated processes in well-established educational theories to promote in-depth self-reflection and self-regulated learning. Prior studies have considered reflection to be an important antecedent for meaningful goal-setting. Yet, there lacks empirical evidence to shed light on how students' abilities to reflect inform their abilities to set goals. Hence, in the present study, we aimed to quantify the connection between students' retrospective reflection and their subsequent goal-setting, and derive more in-depth insights to benefit educators in their teaching to promote deeper reflection, more specific goal-setting and better self-regulation. To this end...

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