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Complex interactions in the multilingual mind: Assessing metalinguistic abilities and their effects on decoding a new language system in trilingual learners

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LINGUA 2024年 301卷

作者： Spechtenhauser, Birgit Jessner, Ulrike Univ Innsbruck Dept English Innsbruck Austria Free Univ Bozen Bolzano Fac Educ Bolzano Italy Pannonian Univ Inst Appl Linguist Veszprem Hungary

Originally, scholarly discussions of metalinguistic awareness (MeLA), as a distinct concept, primarily focused on monolinguals. However, increasing scientific attention has more recently been paid to multiple language learning, which poses new challenges in this area of linguistic-cognitive research. This article first discusses a holistic and dynamic view of multilingual development and portrays MeLA as an emergent property of multilingual systems that varies in quality for multilinguals. Thereafter, a longitudinal study investigates the development of MeLA in three languages among adolescent learners in South Tyrol. For this purpose, a metalinguistic awareness test battery was specifically tailored to the trilingual situation. Subsequently, the effects of MeLA on decoding a new language system unknown to the learners were explored. The results from Part I of the study show that most learners developed MeLA skills that improved to varying degrees within the testing period. In addition, significant positive correlations were found between the MeLA test results for most participants. Analysing Part II of the study showed that, on average, participants with higher MeLA test scores could more frequently activate their prior linguistic knowledge, and they exhibited higher levels of awareness when decoding the new language system than did participants with lower MeLA scores. These findings show the interconnectedness of metacognitive skills and confirm the catalytic role of MeLA in multilingual systems, which calls for as South Tyrol.

关键词： Metalinguistic abilities multiple language learning Decoding Levels of awareness Multilingual develop- ment

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Automatic misconception diagnosis in multiple language learning over Social Networks

Automatic misconception diagnosis in multiple language learn...

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International Conference on Information, Intelligence, Systems and Applications

作者： Christos Troussas Maria Virvou Anna Vougiouklidou Kurt Junshean Espinosa Department of Informatics University of Piraeus Department of Computer Science University of the Philippines

ISBN: (纸本)9781479907694

This paper describes the misconception diagnosis mechanism incorporated in a multilingual learning Facebook application. In order to achieve misconception diagnosis, the authors of this paper have incorporated machine learning techniques in the aforementioned Facebook application. The confusion of Facebook users between multiple language learning is extensively examined. Misconception handling within the application renders the users capable of being aware of their misconceptions and prevents them from re-conducting them. Furthermore, the collaboration between users in language confusion conditions is ameliorated by the user clustering through the Facebook platform.

关键词： Collaborative learning Facebook Misconception diagnosis multiple language learning User clustering

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Motivational profiles of learners of multiple foreign languages: A self-determination theory perspective

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SYSTEM 2022年 106卷

作者： Liu, Meng Oga-Baldwin, W. L. Quint Univ Cambridge Fac Educ Cambridge England Waseda Univ Fac Educ & Integrated Arts & Sci Tokyo Japan

Adopting a person-centred and multilingual perspective, this study drew on self-determination theory and used latent profile analysis to investigate the motivational profiles of learners of multiple foreign languages. Chinese tertiary-level students (N = 523), concurrently studying English and a language other than English (LOTE), participated in the research. Latent profile analysis identified four groups for English motivation (High Quantity, Moderate Quality, Poor Quality and Amotivated) and three groups for LOTEs motivation (High Quantity, Medial and Amotivated). Our findings revealed high between-person and between-language heterogeneity in profile distribution, profile combination, and profile association with emotions. Specifically, negative emotion was more predictive of English motivational quality whereas positive emotion was more predictive of LOTEs motivational quality. Our results also suggest that making LOTEs compulsory is not sufficient to motivate students, as evidenced by the Medial profile being the normative profile unique to LOTEs. Regarding profile combinations, the best performing profile (High Quantity) was also the most likely shared profile by the same individual. While most learners had different profiles for different languages, it was extremely unlikely for the same individual to have profiles of opposite configurations. Our findings demonstrate the utility of combining person-centred techniques with a multilingual perceptive to produce a more nuanced and precise understanding of language learning motivation.

关键词： Self-determination theory Motivation Latent profile analysis LOTEs Simultaneous language learning multiple language learning Multilingualism

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User modeling on communication characteristics using machine learning in computer-supported collaborative multiple language learning

User modeling on communication characteristics using machine...

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IEEE 24th International Conference on Tools with Artificial Intelligence (ICTAI)

作者： Virvou, Maria Alepis, Efthimios Troussas, Christos Univ Piraeus Dept Informat Piraeus Greece

ISBN: (纸本)9780769549156;9781479902279

Towards the creation of a multiple language learning environment which supports and enhances collaboration among its students we propose an approach that uses user modeling and machine learning. The well known theory of user modeling is used to collect user characteristics and as second step a classical machine learning approach is incorporated in order to intelligently use these characteristics to create student groups. The resulting student groups promote win-win collaboration, thus support the learning process and provide additional educational benefits for the learners.

关键词： user modeling computer-supported collaborative learning multiple language learning machine learning k-means algorithm

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User modeling on communication characteristics using machine learning in computer-supported collaborative multiple language learning

User modeling on communication characteristics using machine...

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International Conference on Tools with Artificial Intelligence

作者： Maria Virvou Efthimios Alepis Christos Troussas Department of Informatics University of Piraeus

ISBN: (纸本)9781479902279

关键词： User modeling Computer-supported collaborative learning multiple language learning Machine learning K-means algorithm

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Information Theoretic Clustering for an Intelligent Multilingual Tutoring System

INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING

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INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN learning 2013年第6期8卷 55-61页

作者： Troussas, C. Virvou, M. Univ Piraeus Dept Informat Piraeus Greece

People working as groups, collaborating, rather than people working individually, has unquestionably helped them develop and make accomplishments beyond our imagination. It is quite common to believe that human beings have an inner need to act as social beings. In computer science and particularly in intelligent tutoring systems, the related scientific literature enhances the conviction that even in learning, humans as students may improve the way they learn when working in groups and being in clusters. In this paper, we present the information theoretic clustering built up in the context of student collaboration in a learning environment of English and French languages. Collaborative student groups are created with respect to the corresponding user models.

关键词： information theoretic learning intelligent tutoring systems multiple language learning user clustering

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Knowledge-Based Authoring Tool for Tutoring multiple languages

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4th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS)

作者： Virvou, Maria Troussas, Christos Univ Piraeus Dept Informat Piraeus 18534 Greece

ISBN: (纸本)9783642221583

This paper describes the development of a knowledge-based authoring tool, which aims to be useful to teachers and students in multiple language learning. The tool provides assistance on the editing of exercises and also on the creating, updating or erasing a student's profile by the teacher. The system monitors the students while they are answering the exercises and provides appropriate feedback. One of the system's basic functions in to create a student model, which promotes the educational process. The tool incorporates an error diagnosis component, which handles the students' errors in the three languages. Multilingual support in Computer Assisted language learning (CALL) is a significant innovation in the related scientific literature.

关键词： Knowledge-based authoring tool Intelligent Tutoring Systems Student Modeling Error Diagnosis multiple language learning

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