estudio empírico

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial integridad académica ChatGPT

Temas IA: chatGPT ética de la IA IA y evaluación

Resumen:

The rapid adoption of generative AI tools such as ChatGPT by students has the potential to disrupt the higher education sector, with concerns being raised by academics about potential threats to academic integrity. This paper contributes to the pressing discussion about responses to AI tools by examining students' perceptions and the use of generative AI to assist them with assessments. Based on a survey among 337 Australian university students, this study found that more than a third of students have used a chatbot for assistance with an assessment, and do not necessarily perceive this as a breach of academic integrity. The study further investigated to what extent different psychosocial...

AI-assisted writing and the impact of ChatGPT on Greek-speaking students with and without learning disabilities. Outcomes from a repeated measures design

Elena C. Papanastasiou, Evdokia Pittas, Marina Rodosthenous-Balafa (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial escritura académica expresión escrita

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

Resumen:

This study examines the impact of structured instruction on artificial intelligence (AI) use for improving academic writing in a non-English context. Participants included first-year students enrolled in a teacher education program, including some with disabilities. Three writing tasks were designed: typed essay, AI-based essay, and a critical AI use essay. The repeated measures analyses revealed that targeted AI integration supported overall writing quality, as indicated by improvements in language use, structure, and content. Additionally, students felt more confident when familiarizing themselves with effective prompt strategies. Students with learning difficulties exhibited the most...

AI-assisted audio-learning improves academic achievement through motivation and reading engagement

Nanda R. Jafarian, Anne-Wil Kramer (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial motivación estudiantes con discapacidad

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

Resumen:

Artificial intelligence (AI) is transforming education by enabling the creation of innovative learning resources that may cater to diverse learning needs. Students with common forms of neurodiversity, such as ADHD, often face unique challenges in higher education that are not adequately addressed by current educational resources. One potentially helpful resource is audio content, which provides a flexible and accessible supplement to traditional educational materials. While audio content, such as podcasts, is widely popular, its effect on academic achievement remains underexplored. This pre-registered randomized controlled trial investigated the impact of AI-assisted audio-learning modules...

A study of developing administrative Staff's conceptual understanding of generative artificial intelligence through professional Development: Evaluation of a course using tests, surveys and thematic analysis of reflective writings

Siu-Cheung Kong, Wenxi Hu (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA diseño curricular

Temas IA: IA y educación estudio empírico

Resumen:

Emerging research underscores the growing importance of artificial intelligence (AI) literacy for administrative staff as AI technologies continue to reshape the labor market. However, there remains a limited study about the curriculum components of AI literacy for administrative staff. This study aims to bridge this gap by designing and evaluating a professional development programme for administrative staff grounded in a four-dimensional AI literacy framework. A total of 62 administrative staff from diverse professional backgrounds participated in a 30-h course on understanding Generative Artificial Intelligence (GenAI) and its applications. Pre- and post-course conceptual tests and...

An AI-enhanced pattern recognition approach to temporal and spatial analysis of children's embodied interactions

Ceren Ocak, Theodore J. Kopcha, Raunak Dey (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional multimodalidad

Temas IA: IA y educación estudio empírico

Resumen:

Multimodal video analysis is a complex and time-consuming process for a researcher; it entails capturing, watching, and re-watching video data to identify which segments best inform or address the questions that drive the research. Modern AI applications can alleviate the challenges that arise during the fine-grained analysis of learners' multimodal interactions captured through video. In this study, we present a supervised approach to training a deep neural network to analyze children's computational thinking (CT) captured through multimodal video data. The approach first uses a set of images extracted from video data to train the AI to map them to labels generated using a priori theory....

Reinventing assessments with ChatGPT and other online tools: Opportunities for GenAI-empowered assessment practices

Dennis Foung, Linda Lin, Julia Chen (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación ChatGPT

Temas IA: IA y enseñanza-aprendizaje de lenguas IA y evaluación chatGPT

Resumen:

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...

Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study

Christian Stöhr, Amy Wanyu Ou, Hans Malmström (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots ChatGPT

Temas IA: chatbots chatGPT estudio empírico

Resumen:

AI chatbots have ignited discussions and controversies about their impact on teaching and learning practices in higher education. This study explores students' adoption and perceptions of ChatGPT and other AI chatbots in higher education. Based on survey data from a large sample (n = 5894) across Swedish universities, the study employs descriptive statistical methods to analyze usage, attitudes, and concerns, and inferential statistics to identify relations between attitudes and usage and background variables (gender, academic level, and field of study). The results reveal broad awareness and use of ChatGPT among students, but not of other AI chatbots. More than half of the students...

Taming the black box: Design principles for rule-integrated LLM tutoring systems in primary school mathematical problem solving

Chee-Kit Looi, Zhaolong Liu, Daner Sun (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje andamiaje/scaffolding

Temas IA: modelos de lenguaje (LLM) prompts IA y aprendizaje

Resumen:

The integration of large language models (LLMs) into intelligent tutoring systems promises personalized learning, yet procedural domains such as primary mathematics remain challenging due to inconsistency and pedagogical opacity. LLM tutors may give unsolicited answers or show unstable scaffolding when students vary arithmetic, units, or rounding. This design science research develops and evaluates a rule-guided tutoring system for mathematical word problems in primary schools. We formalize a distinction between rule-guided scaffolding, in which tutoring is governed by a three-layer architecture (diagnosis → intent selection → constrained response generation), and ad-hoc scaffolding, where...

Assisting quality assurance of examination tasks: Using a GPT model and Bayesian testing for formative assessment

Nico Willert, Phi Katharina Würz (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación ChatGPT

Temas IA: IA y evaluación chatGPT prompts

Resumen:

Formative quality assurance in the creation of examination tasks has always been an extremely time-consuming process. Especially due to the changing and short-lived content of computer science, new questions have to be created regularly, which in turn requires quality assurance. With the emergence of artificial intelligence (AI) systems such as ChatGPT and their ability to solve a range of different tasks, the question arises as to what extent this ability can also be utilized as part of a quality assurance process. One aspect of the formative quality assurance of multiple-choice questions involves checking the correct classification of alternative answers into correct and incorrect answers...

Which educational approaches predict students’ generative AI confidence and responsibility?

Tessa Consoli, Dominik Petko (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Temas IA: IA y educación estudio empírico

Resumen:

Given the risks and ethical concerns of integrating generative artificial intelligence (GenAI) into education, scholars have argued for a critical-reflective education approach that addresses the long-term implications of GenAI. However, empirical research on GenAI education approaches is scarce. This study investigates the prevalence of protective-preventive, critical-reflective, and creative-productive GenAI education approaches in highly digitized Swiss upper secondary schools and how students' experiences of these approaches relate to two aspects of their digital agency: GenAI confidence and GenAI responsibility. Using data from 2357 students, the results showed that the critical-...