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Article type: Research Article
Authors: Joseph, Jeenaa; * | Thomas, Binub | Jose, Jobinc | Pathak, Nitishd
Affiliations: [a] Department of Computer Applications, Marian College Kuttikkanam Autonomous, Idukki, Kerala, India | [b] Department of Computer Applications, Marian College Kuttikkanam Autonomous, Idukki, Kerala, India | [c] Marian College Kuttikkanam Autonomous, Idukki, Kerala, India | [d] Bhagwan Parshuram Institute of Technology (BPIT), GGSIPU, New Delhi, India
Correspondence: [*] Corresponding author: Jeena Joseph, Department of Computer Applications, Marian College Kuttikkanam Autonomous, Idukki, Kerala, India. Tel.: +91 9074703885; E-mail: [email protected].
Abstract: Scholarly interest in the emerging topic of multimodal learning and its ethical considerations, which integrates a variety of informational forms to enhance learning, has significantly increased during the past ten years. This paper aims to pinpoint the conceptual foundations and development trend of multimodal learning through thorough bibliometric research. By examining patterns, trends, and linkages within the published literature using a sizable collection of articles from the Scopus database, this research attempts to map the scientific landscape of multimodal learning. According to our study, multimodal learning is becoming more popular in a variety of academic disciplines. The major works and new trends in the subject were highlighted by emphasizing key publications and significant authors. While developing trends and recurrent study subjects were determined using keyword analysis, the major papers having the greatest influence on the field were found utilizing co-citation analysis. The collaborative network analysis also revealed a vibrant academic community with expanding global ties, fostering an atmosphere that is conducive to cutting-edge multimodal learning research. With its insights on the past, present, and likely future paths of multimodal learning, this study is an invaluable resource for academics, teachers, and decision-makers.
Keywords: Multimodal learning, bibliometric analysis, VOSviewer, Biblioshiny
DOI: 10.3233/IDT-230727
Journal: Intelligent Decision Technologies, vol. 18, no. 1, pp. 151-167, 2024
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