2025 | Bibliografía fecha

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Large language models (LLMs) that power chatbots such as ChatGPT have capabilities across numerous domains. Teachers and students have been increasingly using chatbots in science, technology, engineering, and mathematics (STEM) subjects in various ways, including for assessment purposes. However, there has been a lack of systematic investigation into LLMs’ capabilities and limitations in automatically generating items for STEM subject assessments, especially given that LLMs can hallucinate and may risk promoting misconceptions and hindering conceptual understanding. To address this, we systematically investigated LLMs' conceptual understanding and quality of working in generating question...

Fairness perceptions of AI in grading systems: Examining how discontent with the status quo and outcome favorability reduce AI reluctance

S. Mo Jones-Jang, Myojung Chung, Jihyang Choi (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study investigates students' aversion to AI grading systems compared to human professors, focusing on how dissatisfaction with the current evaluation system and grade outcomes affect fairness perceptions. Drawing from 228 college students in South Korea, the experiment tested three hypotheses: (1) students show AI reluctance, (2) dissatisfaction with the current system mitigates the AI reluctance, and (3) this mitigation is contingent on whether students receive high or low grades. Results confirm a general aversion to AI graders. Yet, students who are dissatisfied with the status quo system displayed increased preference for AI graders, especially when receiving low grades. In...

The influence of AI literacy on complex problem-solving skills through systematic thinking skills and intuition thinking skills: An empirical study in Thai gen Z accounting students

Watcharawat Promma, Narinthon Imjai, Berto Usman (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

The rapid integration of artificial intelligence (AI) into various sectors has heightened the need for understanding its impact on cognitive and problem-solving skills. This study investigates the influence of AI literacy (AIL) on complex problem-solving skills (CPS) by examining the mediating roles of systematic thinking skills (STS) and intuitive thinking skills (ITS) among Generation Z accounting students in Thailand. Utilizing structural equation modeling (SEM) to analyze the relationships between these constructs, the research draws on a sample of 420 final-year undergraduate accounting students from both public and private universities, selected through convenience sampling. The...

A systematic review and meta-analysis of the effectiveness of Generative Artificial Intelligence (GenAI) on students’ motivation and engagement

Qi Xia, Weijia Li, Yiming Yang (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

The rapid development of generative artificial intelligence (GenAI) technologies has revolutionized higher education, enhancing personalized learning and teaching practices. This study conducts a systematic review and meta-analysis to investigate the effects of GenAI on university students' motivation and engagement (cognitive, behavioural, emotional, and agency). By synthesizing experimental studies and applying association rule mining, the study (i) identifies significant positive impacts of GenAI on students' motivation and engagement across diverse educational settings. (ii) key moderating variables, such as subject category, learning strategy, and context of GenAI usage, are shown to...

Evaluating large language models as raters in large-scale writing assessments: A psychometric framework for reliability and validity

Yuehan Wang, Jinyan Huang, Lun Du (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In large-scale international writing assessments, human raters often exhibit inconsistency, undermining reliability and validity. Large language models (LLMs) offer a potential solution, but their assessment reliability remains underexplored. This study employed generalizability theory and many-facet Rasch modeling to compare human and LLM raters across three essay genres (4315 samples).Findings reveal that human-LLM discrepancies stem from fundamental evaluation differences, with minimal divergence in key-point scoring. Humans excel in holistic scoring scenarios but struggle with complex analytical rubrics where LLMs demonstrate advantages. While LLMs perform adequately for relative...

Safer interaction with IVAs: The impact of privacy literacy training on competent use of intelligent voice assistants

André Markus, Maximilian Baumann, Jan Pfister (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Intelligent voice assistants (IVAs) are widely used in households but can compromise privacy by inadvertently recording or encouraging personal disclosures through social cues. Against this backdrop, interventions that promote privacy literacy, sensitize users to privacy risks, and empower them to self-determine IVA interactions are becoming increasingly important. This work aims to develop and evaluate two online training modules that promote privacy literacy in the context of IVAs by providing knowledge about the institutional practices of IVA providers and clarifying users' privacy rights when using IVAs. Results show that the training modules have distinct strengths. For example,...

Two years of innovation: A systematic review of empirical generative AI research in language learning and teaching

Belle Li, Yaling Lily Tan, Chaoran Wang (2025)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

This systematic review examines the evolution of empirical research on generative AI in language learning and teaching from 2023 to 2024. Following PRISMA guidelines, we analyzed 144 peer-reviewed articles from Web of Science, Scopus, and ERIC databases to explore the field's progression, including identifying new developments, shifts in research priorities, and emerging themes that have arisen compared to the first year. The findings reveal an exponential growth in publications, with a significant shift from primarily exploratory inquiries to more systematic and empirically driven investigations. The analysis identified six main research foci: Perceptions and attitudes, psychological and...

Digital equity and computational thinking privilege: The case of first-year engineering and computing students' attitudes towards artificial intelligence

Noemi V. Mendoza Diaz, So Yoon Yoon, Nancy Gertrudiz Salvador (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Attitudes can constitute barriers to engineering, computing, and artificial intelligence (AI) enculturation, contributing to and resulting from digital inequity. Building upon research on computational thinking privilege, we explored first-year students' (a) perceived future impact of AI on their career prospects and (b) backgrounds (e.g., gender, underrepresented minority (URM) status, and First-Generation status) associated with their attitudes toward AI, computational thinking, and course performance. Computational thinking was measured using our newly validated Engineering Computational Thinking Diagnostic (ECTD), while course performance was assessed based on final grades in an...

La enseñanza de la gramática del español en la educación secundaria francesa: de las directrices ministeriales a la percepción del alumnado

Carmen Ballestero de Celis, Yekaterina García Márkina (2025)

Philologia Hispalensis

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Tipo: artículo

Metodología: estudio empírico

Temas: enseñanza/aprendizaje de la gramática

Resumen:

El objetivo de este trabajo es ofrecer un panorama de cómo se ha orientado la enseñanza de la gramática del español en las aulas de los institutos franceses desde el pasado siglo, para proporcionar en segundo término un contexto adecuado en el que poder poner en relación las actuales directrices del ministerio respecto a su enseñanza con las consideraciones de los alumnos. Con este propósito, se ha realizado un estudio de campo en el que se ha aplicado un cuestionario a estudiantes (N=404) de diferentes universidades públicas francesas en el que se indaga sobre tres aspectos fundamentales: el lugar que ocupa la gramática en la clase de español lengua extranjera, la manera como se...

Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance

Tongguang Li, Lixiang Yan, Sehrish Iqbal (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Self-regulated learning (SRL) encapsulates learners' abilities to control, monitor, and regulate cognitive and metacognitive processes such as motivation, emotion, and learning strategies. A crucial element of SRL proficiency lies in learners' capacity to plan and implement effective learning strategies. As such, extensive academic research has been devoted to understanding the impact of learning strategies on learning performance, and the role of instructional methods (including real-time scaffolding) in amplifying students' ability to adopt effective learning strategies. However, while numerous studies have focused on learning strategies and SRL scaffolding, few have investigated their...