Bibliografía: 2022
Nº de publicaciones: 238Detalles Cerrar β
Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore, this research examines the development and evaluation of ontology-based recommender systems. The study also discusses technical ontology use and the recommendation process. We identified multidisciplinary ontology-based recommender systems in 28 journal articles. These systems combined ontology with artificial intelligence, computing technology, education, education psychology, and social sciences. Student models and learning objects remain the primary ontology use, followed by feedback, assessments, and context...
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Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial
Resumen:
In this paper, we argue that a particular set of issues mars traditional assessment practices. They may be difficult for educators to design and implement; only provide discrete snapshots of performance rather than nuanced views of learning; be unadapted to the particular knowledge, skills, and backgrounds of participants; be tailored to the culture of schooling rather than the cultures schooling is designed to prepare students to enter; and assess skills that humans routinely use computers to perform. We review extant artificial intelligence approaches that–at least partially–address these issues and critically discuss whether these approaches present additional challenges for assessment...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
In recent years, distance learning using learning management and e-book systems has been actively conducted in higher education institutions and various other organizations. It is possible to collect and analyze learning logs even in classes with many learners, including clickstreams and quiz scores in detail for each individual. This research proposes using Moodle's learning logs to classify learning patterns and outliers in order to identify struggling learners. The proposed method uses the descriptive statistics between the learner's teaching material clickstream and the final test score accumulated in Moodle, and students can be classified into four learning patterns. The frequency of...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
In primary schools, Lesen durch Schreiben (LdS; “reading through writing”, known internationally as inventive spelling) is a prevalent didactic method of reading and spelling instruction. In LdS, pupils learn writing through prolonged inventive spelling, meaning that only phonological but not orthographic spelling errors are corrected. Rigorous studies of the effectiveness of LdS are scarce and have delivered inconsistent results, casting doubt on the suitability of LdS for primary school instruction. Empirical investigations of writing acquisition methods are time-consuming, costly, and are plagued by methodological evaluation difficulties, such as separating method effects from other...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The metaverse is a kind of imagined world with immersive digital spaces that increase, allowing a more interactive environment in educational settings. The metaverse is an expansion of the synchronous communication that embraces an effective number of users to share different experiences. The study aims to investigate the students' perceptions towards metaverse system for educational purposes in the Gulf area. The conceptual model comprises the adoption properties, namely trialability, observability, compatibility, and complexity, users' satisfaction, personal innovativeness, and Technology Acceptance Model (TAM) constructs. The novelty of the paper lies in its conceptual model that...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The attractiveness of online games, social media, and mobile apps is frequently considered a challenge for online learners. Procrastinatory behaviour is often associated with a relative lack of self-regulatory skills that would otherwise help learners to resist distractions and to progress in learning. This paper reports a pilot study, conducted with 49 online learners, in which we describe the use of a virtual learning assistant as a tool for collecting online learners' web navigation behaviour. As this virtual learning assistant operates as an extension to the Chrome web browser, it is possible that data collection is achieved independently of, and beyond specific learning management...
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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:
Longitudinal progress testing promotes self-directed deep learning across a full spectrum of knowledge, enabling early detection of underperformance and opportunities for remediation. Computer adaptive testing (CAT), where the difficulty of a test dynamically adjusts according to a test taker's ability, has benefits in a progress testing context, but significant resource and experience is required to develop appropriate test materials. This study describes how a transnational consortium from eight medical schools in five countries across Europe was formed to develop a computer adaptive progress test applicable across international curricula. 1,212 students from more than 40 nationalities...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: alfabetización
Resumen:
Esta disertación revisa 10 artículos científicos en la última década con respecto a la alfabetización de adultos en lengua extranjera con herramientas digitales. Al llevar a cabo esta revisión se apuntan las tendencias de las temáticas abordadas, los objetivos de estudio y la metodología que se aplica. Se tiene en cuenta la consulta de las bases de datos WOS y Scopus para la selección de artículos de impacto y tesis de posgrado en línea. Asimismo, tras el análisis de documentos, se subrayan autores especializados como Heather Lotherington. Entre las conclusiones se formula que las herramientas digitales multimodales de las que se habla en relación a adultos para el aprendizaje de segundas...
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Tipo: artículo
Metodología: trabajo teórico
Temas: inteligencia artificial
Resumen:
Hybrid systems combining artificial and human intelligence hold great promise for training human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and illustrate this with an example of a first prototype of a Hybrid Human-AI Regulation (HHAIR) system. HHAIR supports self-regulated learning (SRL) in the context of adaptive learning technologies (ALTs) with the aim to develop learners' self-regulated learning skills. This prototype targets young learners (10–14 years) for whom SRL skills are critical in today's society. Many of these learners use ALTs to learn mathematics and languages every day in school. ALTs optimize learning based on learners' performance data,...
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