Bibliografía sobre IA y ELE

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Tipo: artículo

Metodología: estudio empírico

Temas:
chatbots IA y educación estudio empírico

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.,...

From AI anxiety to strategic regulation: How university students transform generative AI into a strategic learning resource

Eunjeo Kim (2026)

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Tipo: artículo

Metodología: estudio empírico

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

Resumen:

This study examined how university students engaged with generative AI as a strategic learning resource in academic writing tasks, with particular attention to the role of AI anxiety. Using an explanatory sequential mixed-methods design, survey data and post-task written reflections were collected from 107 university students. The quantitative analysis examined the relationships among AI anxiety, evaluative capacity, ethical awareness, and regulatory engagement, while the qualitative analysis explored how students described verifying, revising, selectively adopting, or rejecting AI-generated content during actual academic writing tasks. The findings showed that AI anxiety was positively...

A hybrid reasoning framework for artificial intelligence assessment rubric generation in human and automated contexts: Evidence from an undergraduate programming course

Pedro C. Mendonça, Filipe Quintal, Mário Figueiredo (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y evaluación modelos de lenguaje (LLM) estudio empírico

Resumen:

Developing assessment rubrics is resource-intensive, limiting frequent formative assessment. This study introduces HARMOGEN-R (Hybrid Assessment Rubric Model Generation with Reasoning), a framework that uses reasoning-enhanced Large Language Models (LLMs) for initial rubric generation and standard models for synthesis. It supports two generation approaches, namely, structured, with predefined evaluation criteria, and free-form, with Artificial Intelligence (AI) defined criteria. Using a within-subjects design, four AI-generated rubrics and a human-created baseline were compared across 308 open-ended responses (text and code) from three formative programming assignments in an undergraduate...

Developing a gamified AI-enabled online learning application to improve students’ perception of university physics

Da Yang Tan, Chin Wei Cheah (2021)

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Tipo: artículo

Temas:
IA y aprendizaje

Resumen:

This article discusses the current progress of the on-going design efforts in creating an AI-enabled gamified web-based online learning application in the university introductory physics courses. The application aims to cater to the learning needs of students with diversity of the background, particularly students with little or weak background. The overall design architecture and principles are discussed, focusing on the rationale and design of the gamified elements that have been incorporated within the application, namely: (i) incremental difficulties, (ii) points and streaks, (iii) leaderboard, and (iv) gamified and animated user interface. Particularly, the gamified elements are...

Appraisal of high-stake examinations during SARS-CoV-2 emergency with responsible and transparent AI: Evidence of fair and detrimental assessment

MD. Rayhan, MD. Golam Rabiul Alam, M. Ali Akber Dewan (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y evaluación ética de la IA estudio empírico

Resumen:

In situations like the coronavirus pandemic, colleges and universities are forced to limit their offline and regular academic activities. Extended postponement of high-stakes exams due to health risk hereby reduces productivity and progress in later years. Several countries decided to organize the exams online. Since many other countries with large education boards had an inadequate infrastructure and insufficient resources during the emergency, education policy experts considered a solution to simultaneously protect public health and fully resume high-stakes exams -by canceling offline exam and introducing a uniform assessment process to be followed across the states and education boards....

Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review

Bahar Memarian, Tenzin Doleck (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
ética de la IA IA y educación revisión de bibliografía

Resumen:

Background: The use of Artificial Intelligence or AI is rising in higher education. With this rise, the morality of AI programs is being questioned. There is, as such, a need to understand how notions of Fairness, Accountability, Transparency, and Ethics or FATE are identified in the AI and higher education studies to date. Purpose: This systematic review paper aims to understand definitions and studies on FATE and AI in the higher education literature. The contribution of this work is to provide a summary of FATE development and the synthesis of the challenges and potentials of each of the reviewed studies. Method: A total of 33 publications from SCOPUS and Web of Science (WoS) were...

ChatGPT in higher education learning: Acceptance and use

Akhmad Habibi, Muhaimin Muhaimin, Bernadus Kopong Danibao (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas:
chatGPT estudio empírico

Resumen:

This paper examines the determinants that drive ChatGPT use in learning among Indonesian Higher Education Institutions (HEIs) students. A proposed model based on the unified theory of acceptance and use of technology model-2 (UTAUT2) was used in the context of the study. A pilot study was done prior to the main data collection to examine the reliability of the instrument. For the structural model assessment, 1117 responses were analyzed through Partial Least Square Structural Equation Modeling (PLS-SEM) and Importance-Performance Analysis (IPMA). Most hypotheses are confirmed by the significant results reported through the PLS-SEM. The strongest determinant of Behavioral Intention (BI) to...

Empower the user - The impact of functional understanding training on usage, social perception, and self-determined interactions with intelligent voice assistants

André Markus, Jan Pfister, Astrid Carolus (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

Intelligent voice assistants (IVAs) such as Alexa or Siri are voice-based AI systems that support users in various tasks with simple voice commands, making everyday life easier. However, users tend to have only a superficial understanding of the technological functionality of IVAs, leading to misconceptions and usage risks. To foster a self-determined interaction with IVAs, developing specific AI-related competencies, such as a comprehensive functional understanding, is essential. Three online training modules were developed based on learning psychology and media didactics principles to deepen the functional understanding of IVAs and empower self-determined use. In total, 180 participants...

Overview and confirmatory and exploratory factor analysis of AI literacy scale

Martin J. Koch, Carolin Wienrich, Samantha Straka (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

Comprehensive concepts of AI literacy (AIL) and valid measures are essential for research (e.g., intervention studies) and practice (e.g., personnel selection/development) alike. To date, several scales have been published, sharing standard features but differing in some aspects. We first aim to briefly overview instruments identified from unsystematic literature research in February 2023. We identified four scales and one collection of items. We describe the instruments and compare them. We identified common themes and overlaps in the instruments and developmental procedure. We also found differences regarding scale development procedures and latent dimensions. Following this literature...

Exploring the potential of generative AI in democratizing English language education

Dara Tafazoli (2024)

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Tipo: artículo

Metodología: estudio empírico

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

Resumen:

This study investigates the transformative potential of Generative Artificial Intelligence (GenAI), particularly ChatGPT, in addressing educational challenges faced by Iranian English language teachers (N = 23). Drawing on qualitative data from focus group sessions, semi-structured interviews, and reflective essays, the study reveals five key themes: accessible learning materials, personalized learning experiences, addressing ideological influences, overcoming technological barriers, and combating isolation from global trends. The findings highlight GenAI’s capacity to provide diverse and up-to-date learning materials tailored to individual learners' needs, address ideological biases, and...