Bibliografía: 2022
Nº de publicaciones: 250Detalles Cerrar โ
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The increasing use of English as a Lingua Franca (ELF) worldwide has brought attention to tools that can assist English as a Foreign Language (EFL) learners in their journey to fluency. Much research has shown that EFL learners often do not have sufficient latitude to output at a satisfactory level when writing in a second language. In addition, cognitive (working memory) resources are spent on low-level writing tasks (word production, translation) at the expense of time being allocated to higher-level writing tasks such as organization and revision. The researcher's laboratory developed an AI-based web application called “AI KAKU” to assist EFL learners in reducing the cognitive barriers...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
This systematic review focuses on publications related to studies of the use of artificial intelligence (AI) for collaborative learning. The use of AI for collaborative learning is a recent phenomenon and a systematic review of such studies is lacking. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, 41 journal articles were shortlisted. These articles were analysed in terms of the contexts of study (year, group size, platforms of interaction, and types of learners). Using a thematic approach, two broad foci and five sub-categories of use of AI for collaborative learning were identified: (1) learning outcomes – (a) collective performances,...
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Tipo: artículo
Metodología: estudio empírico
Temas: migración y acogida
Resumen:
Aunque la asistencia a un curso de idiomas en el país de acogida incrementa un 8% las posibilidades de dominio de la nueva lengua adicional de una persona adulta migrante, pocos son los trabajos que exploran las características de la formación lingüística para personas migrantes adultas. Este artículo examina los rasgos principales de los programas de español para personas migrantes adultas en la Comunidad de Madrid y presenta los resultados del estudio cualitativo exploratorio realizado en nueve entidades, públicas y privadas. Durante el periodo comprendido entre abril y agosto de 2022, se mantuvo entrevistas con directores, responsables académicos y docentes de español de entidades de la...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
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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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Contract cheating, a form of academic misconduct in which students outsource assessment activities to third parties, is a topic of concern among educators. As similarity-detection systems are ineffective at detecting contract cheating, some institutions have turned to intensely criticised proctoring systems, however student and educator bodies report high costs and privacy concerns. Oral assessment is an alternative assessment approach that provides valuable interpersonal and communication skills in graduates and can naturally help detect and deter cheating. However, oral assessment is typically time-consuming, and in larger courses, it is challenging to validate respondents' identity....
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Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial
Resumen:
There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. One of the emerging methods for increasing trust in AI systems is to use eXplainable AI (XAI), which promotes the use of methods that produce transparent explanations and reasons for decisions AI systems make. Considering the existing literature on XAI, this paper argues that XAI in education has commonalities with the broader use of AI but also has distinctive needs. Accordingly, we first present a framework, referred to as XAI-ED, that considers six key aspects in relation to explainability for...
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Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial
Resumen:
Artificial intelligence (AI) education has posed fundamental challenges to early childhood education (ECE), including (1) why AI is necessary and appropriate for learning in the early years, (2) what is the subset of key AI ideas and concepts that can be learned by children, and (3) how to engage children in a meaningful experience that allows them to acquire these fundamental AI concepts. This report from the ECE field discusses the key considerations for developing an AI curriculum for young children. These key considerations altogether present an innovative pedagogical model for AI literacy education in early childhood. This model argues that AI literacy is an organic part of digital...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Computerized adaptive testing (CAT) can effectively facilitate student assessment by dynamically selecting questions on the basis of learner knowledge and item difficulty. However, most CAT models are designed for one-time evaluation rather than improving learning through formative assessment. Since students cannot remember everything, encouraging them to repeatedly evaluate their knowledge state and identify their weaknesses is critical when developing an adaptive formative assessment system in real educational contexts. This study aims to achieve this goal by proposing an adaptive formative assessment system based on CAT and the learning memory cycle to enable the repeated evaluation of...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The learning process depends on the nature of the learning environment, particularly in the case of open-ended learning environments, where the learning process is considered to be non-linear. In this paper, we report on the findings of employing a multimodal Hidden Markov Model (HMM) based methodology to investigate the temporal learning processes of two types of learners that have learning gains and a type that does not have learning gains in an open-ended collaborative learning activity. Considering log data, speech behavior, affective states and gaze patterns, we find that all learners start from a similar state of non-productivity, but once out of it they are unlikely to fall back into...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The growth and uptake of educational technology has significantly reshaped the delivery of distance and online learning. With an unprecedented number of learners engaging with online modes of education, there is a growing need to understand the underlying student enrolment motivations, goals and learning behaviours evolving from a highly diverse student population. Research in learning analytics has advanced the use of digital data to understand student learning processes. However, there remains a limited understanding of how non-traditional learner characteristics, needs and motivational factors influence their learning behaviour and engagement strategies. Survey data from 232 students...
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