estudio empírico

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial diseño curricular educación superior

Temas IA: IA y educación estudio empírico

Resumen:

In the endeavor to advance industrial engineering and management (IEM) education, this research underscores the imperative of supporting a dynamic and responsive adaptation of a competency-based curriculum (CBC) to meet the demands of an ever-evolving industrial landscape and job market. Our study contributes to competency-based education (CBE) by demonstrating how Artificial Intelligence (AI) can inform the definition of a CBC in the IEM field, thus initiating the pioneering steps towards a collaborative human-AI approach in CBC design. Through a stepwise methodology based on semantic analysis, text mining, natural language processing (NLP) models, informetrics approaches, and clustering...

Personality traits for self-regulated learning with generative artificial intelligence: The case of ChatGPT

Xiaojing Weng, Qi Xia, Zubair Ahmad (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT aprendizaje autónomo

Temas IA: chatGPT IA y aprendizaje estudio empírico

Resumen:

Personality traits and educational technology may affect how well students utilise their abilities and strategies to achieve their learning objectives and potential. As generative artificial intelligence (GenAI) is creating new learning experiences, understanding the impact of five representative personality traits on students' self-regulated learning (SRL) while learning with GenAI tools can help to predict which personality traits indicate better self-regulation when learning with this innovative educational technology. Such a prediction can help educators to design effective learning activities by providing educational experiences that cater to students' different personality traits for...

Enhancing student reflections with natural language processing based scaffolding: A quasi-experimental study in a large lecture course

Muhsin Menekse, Alfa Satya Putra, Jiwon Kim (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial andamiaje/scaffolding metacognición

Temas IA: IA y aprendizaje estudio empírico

Resumen:

Multiple studies have shown that scaffolding plays an important role in regulating and enhancing students' metacognitive monitoring and reflections. However, scaffolding students' reflections in large courses is a major challenge. In the current study, we explored how real-time, technology-enhanced scaffolding affects the quality of students' reflections and academic performance. Two major research questions are: RQ1) Do students in the scaffolding condition construct more specific reflections than those in the non-scaffolding condition? RQ2) How do the scaffolding feature, reflection specificity, and the number of reflections relate to students' academic performance? To address these...

Lower secondary students’ poetry writing with the AI-based Poetry Machine

Arja Kangasharju, Liisa Ilomäki, Minna Lakkala (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial escritura creativa expresión escrita

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y aprendizaje estudio empírico

Resumen:

Despite poetry’s important role in improving linguistic skills and creative thinking, students often find poetry writing to be difficult and boring. This study is an investigation of how the digital Poetry Machine influences students’ poetry writing by applying AI techniques. It uses qualitative and quantitative analysis of the log data of poems that the seventh graders wrote with the Poetry Machine. The results show that the draft poems functioned as affordances, which the students followed as models. The drafts encouraged students to experiment with several different poetic features. The data suggest an association between the number of edited versions and the quality of the final poem....

A framework for evaluation of large language models in essay assessment: Reliability, alignment, and causal reasoning

Tongxi Liu, Luyao Ye, Wei Yan (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión escrita evaluación

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y evaluación modelos de lenguaje (LLM)

Resumen:

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...

Investigating undergraduate students' perceptions and awareness of using ChatGPT as a regular assistance tool: A user acceptance perspective study

Hayder Albayati (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

Temas IA: chatGPT estudio empírico

Resumen:

This study examines the factors influencing user acceptance of ChatGPT as a daily reference tool and assesses varying levels of user awareness. It aims to offer valuable insights into the potential benefits and challenges of implementing ChatGPT in an educational context. To achieve this objective, we employ an integrated model comprising the Technology Acceptance Model (TAM) and four novel external constructs: Privacy, Security, Social Influence, and Trust. This proposed model delivers an in-depth understanding of user acceptance by simultaneously measuring diverse user perspectives. Adopting a quantitative research approach, the study surveys undergraduate students regarding their use of...

Preferred scaffolding does not lead to better learning performance: Empirical evidence from AI-supported mathematical modelling

Wangda Zhu, Yin Yang, Yuqin Yang (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial andamiaje/scaffolding aprendizaje colaborativo

Temas IA: IA y aprendizaje estudio empírico

Resumen:

Mathematical modelling (MM) is widely recognized as a key competency for addressing complex real-world problems, which requires learners to engage in higher-order processes such as abstraction, representation, and iterative reasoning. However, students often experience difficulties in coordinating these processes within mathematics modelling tasks. While recent advances in artificial intelligence (AI) offer new possibilities for supporting mathematical modelling, limited research has examined how different forms of AI-mediated interaction shape students' learning processes in MM. To address this gap, the present study investigates five AI interaction roles, Tutor, Teaching Assistant, Peer,...

A Structural equation modeling analysis of generative AI chatbots adoption among students and educators in higher education

Afef Saihi, Mohamed Ben-Daya, Moncer Hariga (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots educación superior

Temas IA: chatbots estudio empírico

Resumen:

In an era where artificial intelligence (AI) is reshaping educational paradigms, this study explores AI-based chatbot adoption in higher education among students and educators. Employing a Structural Equation Modeling (SEM) approach, the research focuses on developing and validating a comprehensive model to understand the multifaceted factors impacting the acceptance and use of these chatbots. The methodology integrates an extensive literature review, construction of a theoretical model, administration of a detailed questionnaire to a representative sample from the higher education sector, coupled with advanced SEM techniques for data analysis and interpretation. The SEM analysis validates...

Attitudes, perceptions and AI self-efficacy in K-12 education

Nina Bergdahl, Jeanette Sjöberg (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Temas IA: chatbots IA y educación estudio empírico

Resumen:

Access to AI-driven chatbots is triggering schools to transform. Easy access and questions of cheating are balanced against potential upsides of individual support, time savings, and the risk of falling behind. Therefore, insights into teachers’ AI self-efficacy and attitudes towards the integration of AI-driven chatbots in education necessitate research. This study approaches teachers' readiness to use AI-driven chatbots. A survey and poll questions were administered, yielding 312 and 406 responses respectively, focusing on AI self-efficacy, attitudes, and perceived usefulness in education. Preliminary findings show that while teachers are generally positive about the potential of AI in...

Integrating flipped learning in AI-enhanced language learning: Mapping the effects on metacognitive awareness, writing development, and foreign language learning boredom

Ehsan Namaziandost (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial aula invertida/flipped learning metacognición

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y aprendizaje estudio empírico

Resumen:

The increasing integration of Artificial Intelligence (AI) within educational contexts is fostering significant pedagogical shifts, with flipped learning concurrently gaining prominence as a dynamic, student-centered instructional model. Despite their individual merits, there remains a paucity of empirical research on the synergistic effects when AI enhances flipped learning, particularly concerning crucial EFL learner variables such as metacognitive awareness, writing development, and foreign language boredom. This study, therefore, aimed to address this gap by examining the impact of an AI-enhanced flipped learning environment. To this end, a quasi-experimental design was implemented...