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The Use of Multimodal Discourse Analysis to Study the Relationship Between Visual, Lingual, and Written Text of Artificial Intelligence in TED (Technology, Entertainment, and Design) Talks YouTube Channel

English Education Journal · Vol. 12 No. 4 (2022) · hlm. 638–654

DOI
10.15294/eej.v12i4.68908
ISSN
2087-0108, 2502-4566
Terbit
2022-12-23
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

This study was aimed to discover the types of processes used Multimodal Discourse Analysis (MDA) to study the relationship between Visual, Lingual, and Written text, and how they influence the authors to analyze of Artificial Intelligence Video’ Alexandr Wang speech in TED (Technology, Entertainment, and Design) talks YouTube channel. Artificial intelligence is a set of sciences, theories, and techniques whose purpose is to reproduce by a machine the cognitive abilities of a human being. Machine-based systems can give a set of human-defined objectives and make predictions, recommendations, or decisions that influence real or virtual environments. AI systems interact with us and act on our environment directly or indirectly. Often, they appear to operate autonomously and can adapt their behavior by learning about the context, (UNICEF 2021: 16). AI systems are algorithmic models that carry out cognitive or perceptual functions in the world that were previously reserved for thinking, judging, and reasoning human beings. (Leslie et al. 2021: 8). MDA is a term that is used to refer to the way people communicate using different modes at the same time (Kress & van Leeuwen, 1996), which is defined as the use of several semiotic methods in product design, or semiotic events simultaneously, and in a certain way these modes combined with strengthening, compliment, or be in a certain arrangement (Kress and van Leeuwen, 2001).

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  • State University of Semarang
  • University Elmergib
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Rekan penulisOrganisasiArtikel bersama
Sri Wuli FitriatiState University of Semarang15
Djoko SutopoState University of Semarang12
Abdurrachman FaridiState University of Semarang11
Dwi Anggani Linggar BharatiState University of Semarang11
Mursid SalehState University of Semarang9
Widhiyanto WidhiyantoState University of Semarang8
Issy YuliasriState University of Semarang6
Suwandi SuwandiState University of Semarang5
Warsono WarsonoState University of Semarang5
Henrikus Joko YuliantoState University of Semarang4
Zulfa SakhiyyaState University of Semarang4
Ahmad SofwanState University of Semarang3
Rudi HartonoState University of Semarang2
Suwandi SuwandiState University of Semarang2
Hendi PratamaState University of Semarang2
Frimadhona SyafriState University of Semarang2
Sri WahyuniState University of Semarang1
Rini Susanti WulandariAfiliasi tidak diketahui1
Zumala HusnaState University of Semarang1
Hanum BestariState University of Semarang1
Abdelbaset Mohamed WajejUniversity Elmergib1
Arsianti Dewi Kilas Sinar NuraniState University of Semarang1
Siti MujahadahState University of Semarang1
Nanda LahitaState University of Semarang1
Khomsa BintanaState University of Semarang1
Muh Imam ShofwanAfiliasi tidak diketahui1
Rajif Alif RuansyahState University of Semarang1
Ivvon Septina BellaState University of Semarang1
Firman WicaksonoAfiliasi tidak diketahui1
abdulhakim faraj alowalidAfiliasi tidak diketahui1
Uju UjuAfiliasi tidak diketahui1
Dwi Anggani L.BState University of Semarang1
Musmuliadi MusmuliadiState University of Semarang1
Yulia Shinta KusumaningtyasAfiliasi tidak diketahui1
Tutik LestariAfiliasi tidak diketahui1
Ratih OktavianiState University of Semarang1
Sisilia Agustin Dini IslamiState University of Semarang1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/eej/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en-US">The Use of Multimodal Discourse Analysis to Study the Relationship Between Visual, Lingual, and Written Text of Artificial Intelligence in TED (Technology, Entertainment, and Design) Talks YouTube Channel</dc:title>
	<dc:creator>Hadriyan, Ferry</dc:creator>
	<dc:creator>Mujiyanto, Januarius Mujiyanto</dc:creator>
	<dc:creator>Rukmini, Dwi</dc:creator>
	<dc:description xml:lang="en-US">This study was aimed to discover the types of processes used Multimodal Discourse Analysis (MDA) to study the relationship between Visual, Lingual, and Written text, and how they influence the authors to analyze of Artificial Intelligence Video’ Alexandr Wang speech in TED (Technology, Entertainment, and Design) talks YouTube channel. Artificial intelligence is a set of sciences, theories, and techniques whose purpose is to reproduce by a machine the cognitive abilities of a human being. Machine-based systems can give a set of human-defined objectives and make predictions, recommendations, or decisions that influence real or virtual environments. AI systems interact with us and act on our environment directly or indirectly. Often, they appear to operate autonomously and can adapt their behavior by learning about the context, (UNICEF 2021: 16). AI systems are algorithmic models that carry out cognitive or perceptual functions in the world that were previously reserved for thinking, judging, and reasoning human beings. (Leslie et al. 2021: 8). MDA is a term that is used to refer to the way people communicate using different modes at the same time (Kress &amp;amp; van Leeuwen, 1996), which is defined as the use of several semiotic methods in product design, or semiotic events simultaneously, and in a certain way these modes combined with strengthening, compliment, or be in a certain arrangement (Kress and van Leeuwen, 2001).</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2022-12-23</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/eej/article/view/68908</dc:identifier>
	<dc:identifier>10.15294/eej.v12i4.68908</dc:identifier>
	<dc:source xml:lang="en-US">English Education Journal; Vol 12 No 4 (2022): December 2022; 638-654</dc:source>
	<dc:source>2087-0108</dc:source>
	<dc:source>2502-4566</dc:source>
	<dc:source>10.15294/eej.v12i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/eej/article/view/68908/24457</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 English Education Journal</dc:rights>
</oai_dc:dc>