JOURNAL ARTICLE
Building a Cultural Learning Resource Based on the Community's Needs.
Published In: Libri: International Journal of Libraries & Information Services, 2023, v. 73, n. 3. P. 263 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Jarusawat, Piyapat 3 of 3
Abstract
This study aims to investigate community needs in order to develop the cultural learning resource of Suandok Temple, one of the most important religious monasteries in Chiang Mai, Thailand. This is where, in the Lanna kingdom, now the northern part of Thailand, Lanka Wong Theravada Buddhism was founded. The study is based on interviews, with historical procedures, Shalaginova's concept of Heritage Interpretation, and Berlo's SMCR Model of Communication applied to the data analysis. The findings reveal the needs of the community, which can be divided into six themes: (1) important persons to Suandok Temple; (2) outstanding arts and architecture; (3) holy landmark; (4) community center; (5) education hub and tourism; and (6) cultural learning resources. While the first five themes are the contents of the cultural learning resources, the sixth theme offers the guideline and elements, particularly target group, type, and form of presentation, that would be appropriate to cultural learning. With suitable learning resources, users could become aware of and understand the importance of cultural heritage in their community. Consequently, the community as a whole could share a sense of ownership and a determination to maintain, protect, and preserve their cultural heritage. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Libri: International Journal of Libraries & Information Services. 2023/09, Vol. 73, Issue 3, p263
- Document Type:Article
- Subject Area:Religion and Philosophy
- Publication Date:2023
- ISSN:0024-2667
- DOI:10.1515/libri-2023-0003
- Accession Number:173105024
- Copyright Statement:Copyright of Libri: International Journal of Libraries & Information Services is the property of De Gruyter and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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