inglés

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study examines artificial intelligence (AI) literacy among middle school students through the lens of the ABCE framework, which encompasses Affective, Behavioral, Cognitive, and Ethical dimensions. Using a sample of 1669 students from Shanghai, China, the research validates the AI Literacy Questionnaire (AILQ) as a robust psychometric tool for assessing these four domains. Latent profile analysis identified four distinct AI literacy profiles, Poor, Moderate, Good, and Excellent, revealing that 72.3 % of students achieved high literacy levels (Good or Excellent), while 27.7 % remained in lower proficiency groups (Poor or Moderate). Key demographic findings highlight the role of gender...

English grammar multiple-choice question generation using Text-to-Text Transfer Transformer

Peerawat Chomphooyod, Atiwong Suchato, Nuengwong Tuaycharoen (2023)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

English grammar multiple-choice questions (MCQs) can be automatically generated to reduce preparation time. Previous studies have focused on semiautomated methods based on the transformation of human-made sentences/articles into MCQs, owing to which the number of generated questions is dependent on the size of a given text corpus. This study proposes an artificial intelligence-assisted MCQ generation system that increases the number of generable questions using controllable text generation techniques. In this system, the questions for MCQs are generated using a text generation model trained using the Text-to-Text Transfer Transformer (T5) architecture, a powerful deep learning model for...

Large language models in education: a systematic review of empirical applications, benefits, and challenges

Yuhong Shi, Kun Yu, Yifei Dong (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

The rapid advancement of Large Language Models (LLMs), particularly following the release of ChatGPT in November 2022, has significantly transformed educational methodologies. This systematic review aims to synthesize empirical studies published between November 2022 and March 2025, examining the implementation and effectiveness of LLMs in educational settings. 88 empirical studies identified key applications, benefits, and challenges associated with LLM integration in education. Our findings reveal that LLMs are utilized across various educational contexts in six primary applications, with Intelligent Tutoring Systems being particularly prominent. The benefits include improved academic...

University students’ self-reported reliance on ChatGPT for learning: A latent profile analysis

Ana Stojanov, Qian Liu, Joyce Hwee Ling Koh (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Although ChatGPT, a state-of-the-art, large language model, seems to be a disruptive technology in higher education, it is unclear to what extent students rely on this tool for completing different tasks. To address this gap, we asked university students (N = 490) recruited via CloudResearch to rate the extent to which they rely on ChatGPT for completing 13 tasks identified in a previous pilot study. Five distinct profiles emerged: ‘Versatile low reliers’ (38.2%) were characterised by low overall self-reported reliance across the tasks, while ‘all-rounders’ (10.4%) had high overall self-reported reliance. The ‘knowledge seekers’ (16.5%) scored particularly high on tasks such as content...

AI literacy in secondary education: framework, assessment, and professional development in the Ukrainian context

Maiia V. Marienko, Oksana M. Markova, Serhiy O. Semerikov (2026)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rapid proliferation of artificial intelligence tools in educational settings has created an urgent demand for AI literacy among secondary educators, yet empirical research examining this phenomenon in non-Western and crisis-affected contexts remains limited. This multi-study investigation employs a sequential explanatory mixed-methods design to examine AI literacy among Ukrainian secondary educators through national survey analysis ( n = 2018), targeted educator surveys ( n = 116), professional development evaluation ( n = 1130), and systematic mapping of European Open Science Cloud (EOSC) services. Findings reveal that while 84% of surveyed educators report AI use in professional...

Student and AI responses to physics problems examined through the lenses of sensemaking and mechanistic reasoning

Amogh Sirnoorkar, Dean Zollman, James T. Laverty (2024)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Several reports in education have called for transforming physics learning environments by promoting sensemaking of real-world scenarios in light of curricular ideas. Recent advancements in Generative-Artificial Intelligence have garnered increasing traction in educators' community by virtue of its potential to transform STEM learning. In this exploratory study, we adopt a mixed-methods approach in comparatively examining student- and AI-generated responses to two different formats of a physics problem through the theoretical lenses of sensemaking and mechanistic reasoning. The student data is derived from think-aloud interviews of introductory students and the AI data comes from ChatGPT's...

Pre-service teachers' perceptions and intentions regarding the use of chatbots through statistical and lag sequential analysis

Tzu-Chi Yang, Jian-Hua Chen (2023)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

Chatbots provide unique interactions with compatible learning system features, improving the limitations of current learning systems. Educational chatbots are seen as the future of technology integration in the field of education. The success and usefulness of chatbots in the educational setting are highly dependent on teachers' beliefs regarding their efficacy, yet most research focuses on the effects on students' learning. Only a few studies have investigated teachers’ beliefs regarding the use of chatbots, which is considered an important issue. Owning to teachers' beliefs having been transformed from their pre-service teacher training, this study used quantitative (i.e.,...

Exploring the potential of GenAI for personalised English teaching: Learners' experiences and perceptions

Lucas Kohnke, Di Zou, Fan Su (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Artificial intelligence has become seamlessly integrated into personal, professional, and educational spheres. Generative AI (GenAI), in particular, is revolutionising content creation in second language (L2) writing instruction through advanced machine learning models. This study examines the influence of GenAI on L2 learners' language competencies, focusing on tools commonly used by first-year English for Academic Purposes students. Through qualitative and quantitative analysis, including surveys and interviews, this research explored students’ experiences and perceptions of GenAI tools, including Grammarly and Quillbot. The findings revealed that two-thirds of the students (66.7%)...

AI technologies for education: Recent research & future directions

Ke Zhang, Ayse Begum Aslan (2021)

Detalles Cerrar ✕

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

From unique educational perspectives, this article reports a comprehensive review of selected empirical studies on artificial intelligence in education (AIEd) published in 1993–2020, as collected in the Web of Sciences database and selected AIEd-specialized journals. A total of 40 empirical studies met all selection criteria, and were fully reviewed using multiple methods, including selected bibliometrics, content analysis and categorical meta-trends analysis. This article reports the current state of AIEd research, highlights selected AIEd technologies and applications, reviews their proven and potential benefits for education, bridges the gaps between AI technological innovations and...

A study of developing administrative Staff's conceptual understanding of generative artificial intelligence through professional Development: Evaluation of a course using tests, surveys and thematic analysis of reflective writings

Siu-Cheung Kong, Wenxi Hu (2025)

Detalles Cerrar ✕

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Emerging research underscores the growing importance of artificial intelligence (AI) literacy for administrative staff as AI technologies continue to reshape the labor market. However, there remains a limited study about the curriculum components of AI literacy for administrative staff. This study aims to bridge this gap by designing and evaluating a professional development programme for administrative staff grounded in a four-dimensional AI literacy framework. A total of 62 administrative staff from diverse professional backgrounds participated in a 30-h course on understanding Generative Artificial Intelligence (GenAI) and its applications. Pre- and post-course conceptual tests and...