9 datasets found
  1. m

    Data from: Multimodal Immersion in English Language Learning in Higher...

    • data.mendeley.com
    Updated Sep 16, 2024
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    Eka Rahmanu (2024). Multimodal Immersion in English Language Learning in Higher Education: A Systematic Review [Dataset]. http://doi.org/10.17632/rnf4m4dg58.2
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    Dataset updated
    Sep 16, 2024
    Authors
    Eka Rahmanu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This systematic review examines 34 research articles published from 2013 to 2024. The primary focus of the study is to explore more about the application of multimodal pedagogies in higher education, the methods and materials used to assist learners in acquiring English language skills, the English language skills acquired through the usage of multimodality, and the main results of using many modes. This systematic review employs the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) standards. It adopts a thorough search strategy across electronic databases, which include Web of Science and Scopus.

  2. f

    Data Sheet 1_Use of multimodal glosses in teaching English vocabulary for...

    • frontiersin.figshare.com
    docx
    Updated Jan 22, 2025
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    Pitambar Paudel (2025). Data Sheet 1_Use of multimodal glosses in teaching English vocabulary for non-English specialised undergraduates in public university in Nepal.docx [Dataset]. http://doi.org/10.3389/feduc.2025.1443803.s001
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    docxAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset provided by
    Frontiers
    Authors
    Pitambar Paudel
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Nepal
    Description

    Knowledge of vocabulary is an essential aspect of language development. Most of the non-English specialised students feel hesitation in communicating in English due to limited vocabulary. Effective vocabulary teaching and learning can be aided by multimodal glosses. In this rationale, this mixed methods participatory action research is intended to investigate the effect of multimodal glosses in improving the English vocabulary of non-English specilised EFL students in a public university in Nepal. The study was conducted in a three-month intervention experiment for an intact class of 60 non-English specilised undergraduates. The data were collected from tests (pre-test, progress-test, and post-test), and interviews. The data were analysed using quantitative statistics (mean, standard deviation, and T-test), and the data from the unstructured interview were analysed descriptively. The overall results revealed that the use of multimodal glosses led to significant improvements in students’ English vocabulary and its use. The findings suggest that the study’s intervention, the use of multimodal glosses, was effective in improving non-English specialised undergraduates’ ability to develop, comprehend, and use English vocabulary. Thus, students and teachers are to be aware of using multimodal glosses contextually to increase, understand, and adopt English vocabulary appropriately.

  3. f

    Table_1_Multimodality and English for Special Purposes: Signification and...

    • frontiersin.figshare.com
    docx
    Updated May 31, 2023
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    Anne F. J. Hellwig; Pauline T. Jones; Erika Matruglio; Helen Georgiou (2023). Table_1_Multimodality and English for Special Purposes: Signification and Transduction in Architecture and Civil Engineering Models.docx [Dataset]. http://doi.org/10.3389/fcomm.2022.901719.s001
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Frontiers
    Authors
    Anne F. J. Hellwig; Pauline T. Jones; Erika Matruglio; Helen Georgiou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The applied disciplines of architecture and civil engineering require students to communicate multimodally, and to manipulate meaning across media and modes, such as image, writing or moving image. In their disciplinary studies for example, students must be able to transform the language of lectures and textbooks into models and diagrams. In their future workplaces, they will commonly be required to transform reports and legal documents into floor plans and digital & physical 3D models. Such multimodal literacy, however, is not typically reflected in their related subject-specific English language courses, especially in Germany, where a text-centric approach is favored. To better reflect the demands placed upon them, students in two courses of English for Architecture and Civil Engineering were tasked with creating digital, multimodal artifacts to explain a concept from either of these fields to a lay audience. The resultant artifacts used a wide variety of semiotic resources to make meaning, including a total of 26 separate architectural and civil engineering models. This is a quantity sufficiently large enough to invite closer examination, and also reflects the important role models play in the fields of architecture and civil engineering, both at university and in the workplace. This paper suggests that models of this kind exist within a system of signs, in which meaning is created in the relationships between the signs. The process of transforming one resource into another also invites the consideration of the artifacts in terms of the notion of “transduction”, to discern how meaning changes between contexts, practices and modes and to contribute to existing literature on multimodal texts in tertiary education, particularly within a language-learning context.

  4. f

    Data from: Multimodality and Visual Literacy in the Spanish Language...

    • scielo.figshare.com
    jpeg
    Updated Jun 15, 2023
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    Michelle Soares Pinheiro (2023). Multimodality and Visual Literacy in the Spanish Language classroom: analysis of a written production activity [Dataset]. http://doi.org/10.6084/m9.figshare.20037912.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 15, 2023
    Dataset provided by
    SciELO journals
    Authors
    Michelle Soares Pinheiro
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract: This paper aims to analyze the multimodality and visual literacy of Spanish language students enrolled at the Language Center from the State University of Ceará (UECE), Fortaleza-CE, Brazil, by making meanings in written productions based on a selected multimodal text for comprehension. The corpus consists of eighteen texts written by students studying Spanish, and the texts were analyzed in the light of theoretical principles of multimodality and visual literacy theory proposed by Kress and Van Leeuwen (1996, 2006) regarding to metafunctions and image analysis, as set forth in The Grammar of Visual Design. In this regard, we intend to show how the production of texts may reveal signs of students' visual literacy in the contexts of teaching and learning in Spanish language classes.

  5. w

    Global Multimodal Language Models LLMs Market Research Report: By...

    • wiseguyreports.com
    Updated Aug 23, 2025
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    (2025). Global Multimodal Language Models LLMs Market Research Report: By Application (Conversational AI, Content Generation, Image Recognition, Speech Recognition), By End Use (Education, Healthcare, Entertainment, Finance), By Deployment Type (Cloud-Based, On-Premises), By Technology (Neural Networks, Reinforcement Learning, Transfer Learning) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/multimodal-language-models-llms-market
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    Dataset updated
    Aug 23, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Aug 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20242.14(USD Billion)
    MARKET SIZE 20252.67(USD Billion)
    MARKET SIZE 203525.0(USD Billion)
    SEGMENTS COVEREDApplication, End Use, Deployment Type, Technology, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSTechnological advancements in AI, Growing demand for personalized solutions, Increased investment in NLP technologies, Rising importance of data diversity, Expansion of cloud-based applications
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDNVIDIA, DeepMind, Cohere, OpenAI, Microsoft, Google, Anthropic, AI21 Labs, EleutherAI, Meta, Tencent, Amazon, Hugging Face, Alibaba, Salesforce, IBM
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESIncreased demand for conversational AI, Expansion in healthcare applications, Advancements in personalized education, Integration with IoT devices, Growth in content creation automation
    COMPOUND ANNUAL GROWTH RATE (CAGR) 25.0% (2025 - 2035)
  6. u

    Peer-to-peer Deaf Multiliteracies, 2017-2020

    • datacatalogue.ukdataservice.ac.uk
    Updated Jun 24, 2021
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    Zeshan, U, University of Central Lancashire (2021). Peer-to-peer Deaf Multiliteracies, 2017-2020 [Dataset]. http://doi.org/10.5255/UKDA-SN-854728
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    Dataset updated
    Jun 24, 2021
    Authors
    Zeshan, U, University of Central Lancashire
    Area covered
    United Kingdom, India, Ghana, Uganda
    Description

    This project on multiliteracies involved groups of deaf learners in India, Uganda, and Ghana, both in primary schools and with young adult learners. The Peer-to-Peer Deaf Multiliteracies project examined how some of the dynamics that contribute to learners’ marginalisation can be changed by involving deaf individuals in the design of new teaching approaches, and by using children and young people's lived experiences and existing multilingual-multimodal skills as the starting point for theme-based learning. The aim was for participants to develop not only English literacy, but "multiliteracies", i.e. skills in sign languages, ICT, written English, creative expression through drawing and acting, and other forms of multimodal communication. The data collection includes reports from classroom settings compiled by tutors and by research assistants, pre-and post-tests on language and literacy abilities with learners, samples from an online learning platform, and multimedia portfolios collected from learners. A total of 124 young deaf adults and 79 deaf primary school children took part in the research

    The exclusion of deaf children and young adults from access to school systems in the developing world results in individuals and communities being denied quality education; this not only leads to unemployment, underemployment, low income, and a high risk of poverty, but also represents a needless waste of human talent and potential. To target this problem, this project extends work conducted under a pilot project addressing issues of literacy education with young deaf people in the Global South. Creating, implementing and evaluating our innovative intervention based on the peer teaching of English literacy through sign language-based tutoring, everyday real life texts such as job application forms, and the use of a bespoke online resource, enabled us to generate a sustainable, cost-effective and learner-directed way to foster literacy learning amongst deaf individuals. To reach further target groups and conduct more in-depth research, the present project extends our work to new groups of learners in India, Uganda, Ghana, Rwanda and Nepal, both in primary schools (ca 60 children in India, Ghana, and Uganda) and with young adult learners (ca 100 learners in interventions, plus ca 60 young adults in scoping workshops in Nepal and Rwanda). In the targeted countries, marginalisation begins in schools, since many have no resources for teaching through sign language, even though this is the only fully accessible language to a deaf child. This project intends to examine how we can change some of the dynamics that contribute to this, by involving deaf individuals in the design of new teaching approaches, and by using children and young people's everyday experiences and existing literacy practices as the basis for their learning. Participants in such a programme not only develop English literacy, but "multiliteracies", i.e. skills in sign languages, technology, written English, gesture, mouthing, and other forms of multimodal communication. Developing a multilingual toolkit is an essential element of multiliteracies. Being 'literate' in the modern world involves a complex set of practices and competencies and engagement with various modes (e.g. face-to-face, digital, remote), increasing one's abilities to act independently. Our emphases on active learning, contextualised assessments and building portfolios to document progress increases the benefit to deaf learners in terms of their on-going educational and employment capacity. Apart from the actual teaching and interventions, the research also investigates factors in existing systems of educational provisions for deaf learners and how these may systematically undermine and isolate deaf communities and their sign languages. Our analyses identify the local dynamics of cultural contexts that our programmes and future initiatives need to address and evaluate in order to be sustainable. One challenge we encountered in the pilot was the lack of trained deaf peer tutors. There is a need for investment in local capacity building and for the creation of opportunities and pathways for deaf people to obtain formal qualifications. Therefore, we develop training in literacy teaching and in research methods for all deaf project staff. We also develop and adapt appropriate assessment tools and metrics to confirm what learning has taken place and how, with both children and young adults. This includes adapting the Common European Framework of Reference for Languages (CEFR) for young deaf adult learners and the 'Language Ladder' for deaf children so that we use locally-valid test criteria. To document progress in more detail and in relation to authentic, real life literacy demands we need to create our own metrics, which we do by using portfolio based assessments that are learner-centred and closely linked to the local curricula.

  7. w

    Global Multimodal AI Models Market Research Report: By Application...

    • wiseguyreports.com
    Updated Aug 23, 2025
    + more versions
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    (2025). Global Multimodal AI Models Market Research Report: By Application (Healthcare, Finance, Retail, Transportation, Manufacturing), By Deployment Model (Cloud-based, On-premises, Hybrid), By End Use Industry (Automotive, Telecommunications, Education, Entertainment), By Model Type (Vision-Language Models, Audio-Visual Models, Text-Image Models) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/multimodal-ai-models-market
    Explore at:
    Dataset updated
    Aug 23, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Aug 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20244.49(USD Billion)
    MARKET SIZE 20255.59(USD Billion)
    MARKET SIZE 203550.0(USD Billion)
    SEGMENTS COVEREDApplication, Deployment Model, End Use Industry, Model Type, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSTechnological advancements, Increasing data availability, Rising demand for automation, Enhancing user experience, Competitive landscape growth
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDAdobe, OpenAI, Baidu, Microsoft, Google, C3.ai, Meta, Tencent, SAP, IBM, Amazon, Hugging Face, Alibaba, Salesforce, Nvidia
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESNatural language processing integration, Enhanced personalization in services, Advanced healthcare applications, Smart automation in industries, Scalable cloud-based solutions
    COMPOUND ANNUAL GROWTH RATE (CAGR) 24.5% (2025 - 2035)
  8. j

    Data from: The research data collected for the dissertation "The impact of...

    • jyx.jyu.fi
    Updated Feb 20, 2025
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    Marjo Markkanen (2025). The research data collected for the dissertation "The impact of multimodal language teaching on learner autonomy, motivation, and free time language usage" Väitöstutkimusta "Monimediaisen kieltenopetuksen vaikutuksia oppijan autonomiaan, motivaatioon ja vapaa-ajan kielen käyttöön" varten kerätty aineisto [Dataset]. http://doi.org/10.17011/jyx/dataset/79166
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    Dataset updated
    Feb 20, 2025
    Authors
    Marjo Markkanen
    License

    https://rightsstatements.org/page/InC/1.0/https://rightsstatements.org/page/InC/1.0/

    Description

    The research data were collected for the dissertation "The impact of multimodal language teaching on learner autonomy, motivation, and free time language usage". The data were collected from a group of students in a B2 German class during Years 8 and 9 at comprehensive school (N = 14) and it comprise four questionnaires, two interviews, eight learning tasks, related outputs and feedback questionnaires, and the learners' visual narratives.

  9. f

    Linguistic Repertoires as Biographical Indexes: Indigenous Students’...

    • scielo.figshare.com
    jpeg
    Updated May 30, 2023
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    André Marques do Nascimento (2023). Linguistic Repertoires as Biographical Indexes: Indigenous Students’ Multimodal (Self)Representations Through Linguistic Portraits [Dataset]. http://doi.org/10.6084/m9.figshare.14328524.v1
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    jpegAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    André Marques do Nascimento
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT This paper adopts a conception of language as repertoire, conceived as an emergent set of semiotic resources that reflects life trajectories located in specific times and spaces. From this theoretical perspective, it analyzes dimensions of the configuration of the communicative repertoires of Indigenous individuals in the postcolonial contemporaneity. The empirical data under analysis was generated in a linguistic education context and consists of oral, written and multimodal registers of emerging interactions on the production and presentation of linguistic portraits. The analysis aims to highlight the pedagogical relevance of (self)representation of linguistic repertoires as a starting point for language education and as a research tool on linguistic resources, practices and ideologies.

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Eka Rahmanu (2024). Multimodal Immersion in English Language Learning in Higher Education: A Systematic Review [Dataset]. http://doi.org/10.17632/rnf4m4dg58.2

Data from: Multimodal Immersion in English Language Learning in Higher Education: A Systematic Review

Related Article
Explore at:
Dataset updated
Sep 16, 2024
Authors
Eka Rahmanu
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This systematic review examines 34 research articles published from 2013 to 2024. The primary focus of the study is to explore more about the application of multimodal pedagogies in higher education, the methods and materials used to assist learners in acquiring English language skills, the English language skills acquired through the usage of multimodality, and the main results of using many modes. This systematic review employs the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) standards. It adopts a thorough search strategy across electronic databases, which include Web of Science and Scopus.

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