estudio empírico

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

While feedback is essential for guiding student learning, providing timely and personalized guidance in large-scale educational settings remains a significant challenge. Generative AI offers a scalable solution, yet little is known about students’ perceptions of AI-generated feedback. In this paper, we aim to investigate how the identity of the feedback provider (human vs. AI) affects students’ ability to assess feedback quality and whether their judgments are biased. We propose a comprehensive rubric for assessing the pedagogical quality of formative feedback. We use it to compare the objective quality of AI-generated and human-crafted feedback (N = 979). Next, using data collected from...

Assessing student errors in experimentation using artificial intelligence and large language models: A comparative study with human raters

Arne Bewersdorff, Kathrin Seßler, Armin Baur (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Identifying logical errors in complex, incomplete or even contradictory and overall heterogeneous data like students’ experimentation protocols is challenging. Recognizing the limitations of current evaluation methods, we investigate the potential of Large Language Models (LLMs) for automatically identifying student errors and streamlining teacher assessments. Our aim is to provide a foundation for productive, personalized feedback. Using a dataset of 65 student protocols, an Artificial Intelligence (AI) system based on the GPT-3.5 and GPT-4 series was developed and tested against human raters. Our results indicate varying levels of accuracy in error detection between the AI system and...

Gen-Mentor: A human-in-the-loop instructional framework for dental radiography using generative AI

Yiyun Dong, Chuanyang Peng, Yichen Wu (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Integrating artificial intelligence into medical imaging offers potential for dental education. While existing models automate diagnosis, they often lack the interpretive depth needed for comprehensive student training. To address these limitations, this paper presents Gen-Mentor , a human-in-the-loop instructional framework that integrates the DentDiff-VLM backbone into a dental-radiography workflow. The backbone uses Faster R-CNN to localize four target radiographic findings: Filling, Implant, Impacted Tooth, and Cavity. A conditional diffusion model supports curriculum expansion by generating class-specific synthetic ROI candidates as candidate instructional assets. A vision–language...

AI literacy for ethical use of chatbot: Will students accept AI ethics?

Yusuke Kajiwara, Kouhei Kawabata (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

In AI literacy education, there are few examples of education based on AI ethical principles, and limited knowledge exists regarding curriculum design that incorporates AI ethical principles and its effects. Therefore, in this study, we propose a curriculum that teaches the ethical use of large language models (LLM) such as ChatGPT and verify its impact on educational effectiveness and technology acceptance among students aged 12 to 24. The validation results show that the proposed curriculum particularly contributes to the understanding of LLM concepts and their ethical use in decision support. We also demonstrate that experience using ChatGPT influences the level of understanding of...

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

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

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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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.,...

The behavioural intentions for integrating artificial intelligence in science teaching among pre-service science teachers in South Africa and Thailand

Lindelani Mnguni, Prasart Nuangchalerm, R. Ahmad Zaky El Islami (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Developing countries in the Global South exhibit diverse trends in the integration of digital technologies, such as Artificial Intelligence in teaching. Complex context-specific factors, including teacher preparedness, influence these trends. Using the Theory of Planned behavior as a theoretical framework, this study explores the behavioral intentions of pre-service science teachers in South Africa and Thailand towards integrating AI into their teaching to inform teacher training, support, and resource allocation policies. The main research question is: ''What are the behavioral intentions of pre-service science teachers in South Africa and Thailand towards integrating AI into their...

Ludolingüística y uso colaborativo de las TICs: competencias, creencias y actitudes de estudiantes y profesores en un colegio de alto uso de tecnologías didácticas

Emilio Ceruti (2016)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: gamificación

Resumen:

En este estudio se pretende medir las competencias, creencias y actitudes hacia (1) la integración del componente lúdico y (2) el uso colaborativo de las tecnologías de la información y comunicación (TICs) en el proceso enseñanza-aprendizaje en un colegio de Madrid de uso intensificado de herramientas tecnológicas. Por ello, se propone una investigación de corte cualitativo a través de la suministración de dos cuestionarios semiestructurados para estudiantes y profesores de este colegio, que se han complementado con notas de campo personales y el apoyo de otro observador. Los resultados arrojados confirman, entre otras cosas, que las competencias influyen en las creencias y en la toma de...

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...

La expresión de la actitud en un corpus oral de presentaciones académicas de estudiantes ELE y hablantes de herencia de español en contexto universitario en Estados Unidos

Eva Maria Gomez Garcia (2020)

Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas

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Tipo: artículo

Metodología: estudio empírico

Temas: corpus

Resumen:

En este artículo se presentan los resultados del análisis de un corpus (n=15) de presentaciones académicas orales (PAO) en español realizadas por estudiantes universitarios hablantes de herencia y de ELE estadounidenses. El objetivo es determinar la manera en la que se manifiesta la postura a través del metadiscurso. Con este fin se identificaron las marcas metadiscursivas de actitud, su frecuencia de uso y función retórica según las categorías en la taxonomía de Hyland. Los resultados muestran que el grupo de herencia hace mayor uso de estos recursos y que los adjetivos evaluativos en ambos grupos es la forma lingüística más empleada para codificar las muestras de actitud.

This...

Objective measurement of AI literacy: Development and validation of the AI competency objective scale (AICOS)

André Markus, Astrid Carolus, Carolin Wienrich (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

As Artificial Intelligence (AI) becomes increasingly pervasive in everyday life, AI literacy is widely recognized as a set of essential competencies for navigating AI-driven environments safely, responsibly, and effectively. There is a growing need to assess this construct, for example, to inform targeted educational interventions. Although several measurement tools already exist, many show limitations regarding subjective data collection methods, differentiation between target groups, validity, and the integration of recent developments, such as Generative AI literacy. To address these limitations, this study introduces the AI Competency Objective Scale (AICOS) - an instrument grounded in...