IA y creación de materiales

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT materiales audiovisuales

Temas IA: análisis de producción de IA chatGPT prompts

Resumen:

With the rise of Generative Artificial Intelligence (GenAI), tools such as ChatGPT have shown great potential in enhancing online learning. However, existing applications in video-based learning remain limited, as they typically require learners to pause or switch interfaces to access AI support, disrupting learning continuity. To address this challenge, this study proposes a framework that utilizes ChatGPT to generate comments for an individual learner (i-Comments), displayed as scrolling text over educational videos, providing both knowledge and emotional support based on scaffolding theory. The present study evaluates the framework's generation capabilities to gain empirical insight that...

Impact of AI-generated storytelling vs. gamified learning on vocabulary retention and engagement in CALL environments

Ehsan Namaziandost, Fidel Çakmak (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de vocabulario storytelling/narración

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

Resumen:

Artificial Intelligence (AI) and gamified learning have attracted interest from language educators and researchers in the field of teaching English as a Foreign Language (EFL) for their potential to enhance vocabulary acquisition outcomes. However, the relative effectiveness of AI-generated storytelling and gamified learning in EFL vocabulary acquisition has been underexplored. This study examines the influence of AI-generated storytelling and gamified learning on the vocabulary retention and engagement of intermediate-level EFL learners. Ninety participants were allocated among three groups: a control group that employed conventional vocabulary methods (e.g., rote memorization using...

The effect of student acceptance on learning outcomes: AI-generated short videos versus paper materials

Yidi Zhang, Margarida Lucas, Pedro Bem-haja (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial materiales audiovisuales materiales didácticos

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

Resumen:

The use of video and paper-based materials is commonly widespread in foreign language learning (FLL). It is well established that the level of acceptance of these materials influences learning outcomes, but there is lack of evidence regarding the use and related impact of videos generated by artificial intelligence (AI) on these aspects. This paper used linear mixed models and path analysis to investigate the influence of student acceptance of AI-generated short videos on learning outcomes compared to paper-based materials. Student acceptance was assessed based on perceived ease of use (PEU), perceived usefulness (PU), attitude (A), intentions (I), and concentration (C). The results...

English grammar multiple-choice question generation using Text-to-Text Transfer Transformer

Peerawat Chomphooyod, Atiwong Suchato, Nuengwong Tuaycharoen (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de la gramática creación de materiales

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y creación de materiales IA y evaluación

Resumen:

English grammar multiple-choice questions (MCQs) can be automatically generated to reduce preparation time. Previous studies have focused on semiautomated methods based on the transformation of human-made sentences/articles into MCQs, owing to which the number of generated questions is dependent on the size of a given text corpus. This study proposes an artificial intelligence-assisted MCQ generation system that increases the number of generable questions using controllable text generation techniques. In this system, the questions for MCQs are generated using a text generation model trained using the Text-to-Text Transfer Transformer (T5) architecture, a powerful deep learning model for...

How to train your dragon: Evaluating prompting and fine-tuning for GPT-based item generation in L2 listening assessment

Vahid Aryadoust, Joann Wong (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial comprensión oral evaluación

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y evaluación IA y creación de materiales

Resumen:

Recent advances in large language models (LLMs), notably GPT models, have introduced new possibilities for automatic item generation (AIG) through prompt engineering. Although iterative prompt refinement can yield measurable improvements, this process eventually plateaus, as outputs remain inconsistent or misaligned with assessment constructs. This study reports an experimental comparison of prompting and fine-tuning to advance AIG for L2 listening assessment. First, we employed prompting and refined the instruction design over three successive iterations to determine an optimized prompt. We then fine-tuned GPT-4.1 using the same optimized prompt, holding prompt design constant to isolate...

Can large language models meet the challenge of generating school-level questions?

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje creación de materiales

Temas IA: IA y creación de materiales modelos de lenguaje (LLM) prompts

Resumen:

In the realm of education, crafting appropriate questions for examinations is a meticulous and time-consuming task that is crucial for assessing students' understanding of the subject matter. This paper explores the potential of leveraging large language models (LLMs) to automate question generation in the educational domain. Specifically, we focus on generating educational questions from contexts extracted from school-level textbooks. Our study aims to prompt LLMs such as GPT-4 Turbo, GPT-3.5 Turbo, Llama-2-70B, Llama-3.1-405B, and Gemini Pro to generate a complete set of questions for each context, potentially streamlining the question generation process for educators. We performed a...

Automatic question-answer pairs generation using pre-trained large language models in higher education

Jintao Ling, Muhammad Afzaal (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creación de materiales evaluación

Temas IA: IA y creación de materiales IA y evaluación modelos de lenguaje (LLM)

Resumen:

The process of manually generating question and answer (QA) pairs for assessments is known to be a time-consuming and energy-intensive task for teachers, specifically in higher education. Several studies have proposed various methods utilising pre-trained large language models for the generation of QA pairs. However, it is worth noting that these methods have primarily been evaluated on datasets that are not specifically educational in nature. Furthermore, the evaluation metrics and strategies employed in these studies differ significantly from those typically used in educational contexts. The present discourse fails to present a compelling case regarding the efficacy and practicality of...

Promoting pre-service music teachers’ TPACK with generative AI: an intervention through designing with AI

Haiying Li, Ching Sing Chai, Xinlei Wang (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial formación de profesores competencia digital

Temas IA: IA y educación IA y creación de materiales estudio empírico

Resumen:

Generative artificial intelligence (GenAI) presents transformative opportunities for education, yet its integration into music teacher preparation remains underdeveloped. Two critical gaps exist: (1) scant empirical studies on how pre-service music teachers can leverage GenAI to develop their expertise; and (2) the potential of designing with AI to develop technological pedagogical content knowledge (TPACK) in music education is unexplored, despite evidence of the effectiveness of learning by design in other disciplines. This study implemented a six-week designing with AI intervention grounded in TPACK framework, engaging 59 pre-service music teachers in collaborative GenAI-assisted lesson...

Analysis of LLMs for educational question classification and generation

Said Al Faraby, Ade Romadhony, Adiwijaya (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje ChatGPT

Temas IA: IA y creación de materiales modelos de lenguaje (LLM) análisis de producción de IA

Resumen:

Large language models (LLMs) like ChatGPT have shown promise in generating educational content, including questions. This study evaluates the effectiveness of LLMs in classifying and generating educational-type questions. We assessed ChatGPT's performance using a dataset of 4,959 user-generated questions labeled into ten categories, employing various prompting techniques and aggregating results with a voting method to enhance robustness. Additionally, we evaluated ChatGPT's accuracy in generating type-specific questions from 100 reading sections sourced from five online textbooks, which were manually reviewed by human evaluators. We also generated questions based on learning objectives and...

Automated reading passage generation with OpenAI's large language model

Ummugul Bezirhan, Matthias von Davier (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial comprensión lectora evaluación

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y creación de materiales IA y evaluación

Resumen:

The widespread usage of computer-based assessments and individualized learning platforms has increased demand for the rapid production of high-quality items. Automated item generation (AIG), the process of using item models to generate new items with the help of computer technology, was proposed to reduce reliance on human subject experts. While AIG has been used in test development, recent advances in machine learning algorithms offer the potential to enhance its efficiency further. This paper presents an innovative approach utilizing OpenAI's latest transformer-based language model, GPT-3, to generate reading passages. Existing reading passages were used in carefully engineered prompts to...