Enhancing Digital Literacy with an Intelligent Conversational Agent for Senior Citizens in Thailand

Autor/inn/en	Sriwisathiyakun, Kanyarat; Dhamanitayakul, Chawaporn
Titel	Enhancing Digital Literacy with an Intelligent Conversational Agent for Senior Citizens in Thailand
Quelle	In: Education and Information Technologies, 27 (2022) 5, S.6251-6271 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sriwisathiyakun, Kanyarat)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-021-10862-z
Schlagwörter	Older Adults; Foreign Countries; Technological Literacy; Discourse Modes; Verbal Communication; Behavior Change; Artificial Intelligence; Educational Media; Computer Mediated Communication; Services; Thailand + Suchen Sie Ihr Suchwort? Älterer Erwachsener; Ausland; Technisches Wissen; Diskursethik; Künstliche Intelligenz; Bildungsmittel; Unterrichtsmedien; Computerkonferenz; Dienstleistung
Abstract	Intelligent conversational agents have been implemented as virtual assistants in mobile applications to facilitate, engage, and interact with users for optimal learning experiences. With 24/7 availability, providing instant and consistent responses, chatbots, as a type of intelligent conversational agent, will help benefit the learning communication, makes the entire learning experience more engaging for the learners. They have also been successfully used by the elderly to encourage behavioral change for their intended purpose. This study investigated baseline data on the use of digital platforms of senior citizens in Bangkok Metropolitan and the six regions of Thailand and developed a chatbot from the derived data. The chatbot contained learning media and service function, served as a platform to enhance digital literacy for the senior citizens in Thailand. The study was conducted in 3 phases, the baseline survey on the use of digital platforms of the senior citizens in Thailand, the development of the chatbot and learning media, and the pre-experimental expert validation. The samples were 422 senior citizens. The data were collected by questionnaires, focused group discussion, and interviews with experts, and analyzed by percentage, mean, standard deviation, and content analysis. Results were incorporated in the design and development of the chatbot innovation following the software development life cycle (SDLC) framework. Expert feedback revealed that this chatbot innovation was easy to access, convenient to request for operations, artistically appealing, and comprehensive in content and functionality for enhancing digital literacy skills, which are to access, analyze, evaluate, participate, and act. In the next research sequence, this innovation will subsequently be experimented with more senior citizens to prepare and improve their digital competence to consequently equip them with the necessary capacities to keep up with Thailand's transition towards a full-blown aging society. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01