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  • estudio de caso

Bibliografía: estudio de caso

Nº de publicaciones: 163
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Reinventing assessments with ChatGPT and other online tools: Opportunities for GenAI-empowered assessment practices
Dennis Foung, Linda Lin, Julia Chen (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The recent emergence of generative artificial intelligence (GenAI) tools, such as ChatGPT, has brought profound changes to higher education. While many studies have examined the potential use of ChatGPT in teaching and learning, few have explored the opportunities to develop assessments that facilitate the use of multiple technological innovations (i.e. traditional AI and GenAI tools). We conducted qualitative research to address this gap. The assessments of an elective English course in Hong Kong were re-designed to incorporate GenAI and other tools. Students were asked to employ and reflect on their use of these tools for their writing assessments. We analyzed the written reflections of...

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La comprensión de los estudiantes de los diferentes tipos de texto: estrategias para identificar y mejorar la comprensión conceptual de los estudiantes
Hiart Hernandez Hernández Tellaeche (2021)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: comprensión lectora

Resumen:

Texto completo

This article evaluates students’ conceptual understanding using the think-aloud method. The participants, four students who were studying the last year of the Spanish ab initio course in an international school in Prague, volunteered to take part in the think-aloud protocols. The results show that the think-aloud method helps to get a better sense of students’ understanding of different text types.

Este artículo evalúa la comprensión conceptual de los estudiantes mediante el método de think-aloud. Los participantes, cuatro estudiantes del curso de Español ab initio de una escuela internacional en Praga, se ofrecieron como voluntarios para participar en los protocolos de think-aloud....

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How to responsibly deploy a predictive modelling dashboard for study advisors? A use case illustrating various stakeholder perspectives
Anouschka van Leeuwen, Marije Goudriaan, Ünal Aksu (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Most higher education institutions employ study advisors to support their students. To adequately perform their task, study advisors have access to study information about their students. Using AI techniques to analyze that information and to predict if a student might be at risk of study delay could be a valuable tool in study advisors' practice. In this paper, we present a use case of how such a tool was developed (in the form of a dashboard) and which steps and considerations played a role in the responsible deployment of the tool. Three aspects are described: first, we present the timeline of the case study and zoom in on how the macro-level of the institution (where the groundwork is...

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Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances
Margherita Bernabei, Silvia Colabianchi, Andrea Falegnami (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The accessibility of advanced Artificial Intelligence-based tools, like ChatGPT, has made Large Language Models (LLMs) readily available to students. These LLMs can generate original written content to assist students in their academic assessments. With the rapid adoption of LLMs, exemplified by the popularity of OpenAI's ChatGPT, there is a growing need to explore their application in education. Few studies examine students' use of LLMs as learning tools. This paper focuses on the application of ChatGPT in engineering higher education through an in-depth case study. It investigates whether engineering students can generate high-quality university essays with LLMs assistance, whether...

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Students’ engagement with generative AI in academic learning: A self-determination theory and epistemic network analysis study
Razia Isaeva, H. Nuran Caner, Mustafa Caner (2026)
Computers & Education: Artificial Intelligence
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This qualitative case study examines undergraduate students’ engagement with generative artificial intelligence (GenAI) in academic learning in an English-medium university setting. This study employs self-determination theory (SDT) as the primary interpretive framework, treating technology acceptance perceptions (e.g., usefulness and ease of use) as descriptive cues rather than explanatory constructs. Data from 23 semi-structured interviews were analyzed using reflexive thematic analysis, complemented by epistemic network analysis (ENA) to examine the structural relationships among themes in students’ discourse, with automated coding validated against a manually coded subset. Students...

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Towards human-AI collaboration in the competency-based curriculum development process: The case of industrial engineering and management education
Antonio Padovano, Martina Cardamone (2024)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

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...

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A case study of using Alexa for out-of-class, self-directed Japanese language learning
Gilbert Dizon, Daniel Tang, Yumi Yamamoto (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Intelligent personal assistants, otherwise known as virtual assistants, are artificial intelligence-powered conversational agents that utilize machine learning to understand and appropriately respond to user requests. In recent years, research interest on the use of this emerging technology for foreign language learning has increased. Several studies have examined the use of intelligent personal assistants for English as a foreign language learning. However, no study has studied intelligent personal assistants in the context of a non-English foreign language. Thus, this case study addressed this gap in the research by investigating the out-of-class, self-directed use of the intelligent...

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From intuition to action: Exploring teachers’ ethical awareness in the use of AI tools in education
Chun Sing Maxwell Ho, John Chi-Kin Lee (2025)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

This study investigates how teachers perceive and understand ethical issues arising from the use of artificial intelligence (AI) in education, and identifies the factors influencing their ethical awareness. Grounded in the Social Intuitionist Model (SIM), which emphasizes intuitive and emotionally driven moral judgments, the research explores teachers’ ethical perceptions as shaped by classroom experiences (micro/meso contexts) and broader social, cultural, and institutional influences (macro contexts) surrounding AI integration. Using a case study approach, data were collected through semi-structured interviews with 26 teachers from primary and secondary schools, selected for their...

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Artificial intelligence in the L2 classroom: Implications and challenges on ethics and equity in higher education: A 21st century Pandora's box
Deema Dakakni, Nehme Safa (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The purpose of this research was to investigate attitudes of both students and teachers concerning Artificial Intelligence (AI) tools in the L2 classroom. The study was a descriptive, qualitative, mixedmethods case study whose data were taken from a purposive, convenient sample at a private, English-speaking university during the Summer Semester 2023 in Beirut, Lebanon. Data collection primarily involved an online survey on Google forms which was given to a sample of 49 students taking a research-based English 202 course of which 46 were completed. Afterwards, six English teachers and six students were chosen based on their voluntary will to participate in individual interviews for the...

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A case study of using AI for General Certificate of Secondary Education (GCSE) grade prediction in a selective independent school in England
Gyorgy Denes (2023)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo en HTML

The COVID-19 pandemic has created significant challenges for UK schools, but a time of cancelled exams and uncertainty around future examinations can provide opportunities to explore novel assessment methods. Hence, the 2020 proposal of the Ofqual algorithm which combines teachers' estimated grades and schools' historical performance seemed timely. However, the algorithmically calculated grades resulted in a public backlash and withdrawal of the proposal. While the failed Ofqual algorithm could be considered an example of AI, we do not yet have a thorough understanding of its numerical accuracy and how it performs in comparison to other AI models. This paper investigates this novel...

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