Computers & Education: Artificial Intelligence

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

Resumen:

Previous studies demonstrate that the use of artificial intelligence (AI) dialogue systems for English as a Foreign Language (EFL) education has effectively improved university students' reading, writing, and listening abilities. However, there are limited systematic reviews focused on the evidence-based interactional competence of EFL university students. This study aims to examine the use of AI dialogue systems to enhance EFL university students' interactional competence. Through the PRISMA process, this study identified 28 articles published between January 2013 and August 2022 in journals and conferences from the most popular databases, including Google Scholar, ProQuest, IEEE,...

Myths, mis- and preconceptions of artificial intelligence: A review of the literature

Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners' pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies. 25 relevant studies were identified by applying the following eligibility criteria: English-written original empirical research on education and AI and reporting AI conceptions in a formal learning context. The review found studies from six continents, with the majority conducted in Europe and North...

Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education

Thomas K.F. Chiu, Qi Xia, Xinyan Zhou (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa evaluación

Resumen:

Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd...

Empowering learners for the age of artificial intelligence

Dragan Gašević, George Siemens, Shazia Sadiq (2023)

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI...

Empowering educators to be AI-ready

Rosemary Luckin, Mutlu Cukurova, Carmel Kent (2022)

Computers & Education: Artificial Intelligence 3

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial formación de profesores alfabetización en IA

Resumen:

In this paper, we present the concept of AI Readiness, along with a framework for developing AI Readiness training. ‘AI Readiness ’ can be framed as a contextualised way of helping people to understand AI , in particular, data-driven AI. The nature of AI Readiness training is not the same as merely learning about AI. Rather, AI Readiness recognises the diversity of the professions, workplaces and sectors for whom AI has a potential impact. For example, AI Readiness for lawyers may be based on the same principles as AI Readiness for Educators. However, the details will be contextualised differently. AI Readiness recognises that such contextualisation is not an option: it is essential...

Generative AI in scenario-based healthcare education: A systematic review of applications, validation practices, and pedagogical integration

Mariana Neto, Rui Pinto, João Reis (2026)

Computers & Education: Artificial Intelligence 11

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial educación superior grandes modelos de lenguaje

Resumen:

The adoption of Generative AI (GenAI) and Large Language Models (LLMs) in healthcare education has accelerated rapidly since 2023, yet the evidence base for their use in Scenario-Based Learning (SBL) remains fragmented. This systematic review synthesises empirical research on GenAI applications across scenario-based, case-based, problem-based, and simulation-based learning in healthcare education. Following the PRISMA 2020 guidelines, five databases were searched on 9 November 2025 for peer-reviewed studies published from January 2023 onwards. Of 1151 initial records, 23 studies met the inclusion criteria. Quality was assessed using the Mixed Methods Appraisal Tool (MMAT). Thematic...

Enhancing students performance through dynamic personalized learning path using ant colony and item response theory (ACOIRT)

Imamah, Umi Laili Yuhana, Arif Djunaidy (2024)

Computers & Education: Artificial Intelligence 7

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial tecnología educativa

Resumen:

Generating personalized learning paths (PLP) tailored to each student's characteristics and abilities is challenging, especially when using multiple-choice test scores to predict knowledge levels, which can be affected by guessing. We combined the ant colony algorithm (ACO) with Item Response Theory (IRT) to address this issue. This method models the relationship between student responses and their latent abilities, to improve the prediction of knowledge levels resulting in more accurate personalized learning paths (PLP). The parameters used to create the PLP include the initial module, targeted module, knowledge level, pretest score, and difficulty level. The difficulty level is required...

Novices’ conceptions of machine learning

Andreas Mühling, Gregor Große-Bölting (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Resumen:

With machine learning becoming more and more prevalent in society, it also becomes a topic that is relevant for general K12 education. At the same time, modern machine learning is relying heavily on mathematics, requiring novel approaches to teaching it in settings where a full coverage is not possible. In this context the study presented here investigates the conceptions that students have about the workings of a particular type of machine learning system before and after a short workshop. Students (N = 57) gave open ended answers that were analyzed qualitatively, following the approach of phenomenography. The resulting model was then validated with semi-structured interviews with...

ChatGMP: A case of AI chatbots in chemical engineering education towards the automation of repetitive tasks

Fiammetta Caccavale, Carina L. Gargalo, Julian Kager (2025)

Computers & Education: Artificial Intelligence 8

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots grandes modelos de lenguaje

Resumen:

Artificial Intelligence (AI) is rapidly and consistently becoming more integrated in various aspects of our lives. One of the areas where these systems are increasingly used is education. In fact, it is both being incorporated into specific curricula, allowing students the possibility to acquire skills within this field, and more recently AI has been used as a tool to facilitate the teaching and learning process. However, an increased demand and availability of these tools do not imply a successful switch from traditional to AI-supported learning.In this work, ChatGMP, a chatbot leveraging a Large Language Model (LLM) able to conduct an interview exercise in a Master's Degree course taught...

Machine learning based feedback on textual student answers in large courses

Jan Philip Bernius, Stephan Krusche, Bernd Bruegge (2022)

Computers & Education: Artificial Intelligence 3

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial feedback/retroalimentación evaluación

Resumen:

Many engineering disciplines require problem-solving skills, which cannot be learned by memorization alone. Open-ended textual exercises allow students to acquire these skills. Students can learn from their mistakes when instructors provide individual feedback. However, grading these exercises is often a manual, repetitive, and time-consuming activity. The number of computer science students graduating per year has steadily increased over the last decade. This rise has led to large courses that cause a heavy workload for instructors, especially if they provide individual feedback to students. This article presents CoFee, a framework to generate and suggest computer-aided feedback for...