THE CONCEPT OF KNOWLEDGE ACCORDING TO ABDULLAH FAHIM'S EDUCATIONAL THOUGHT
DOI:
https://doi.org/10.30587/didaktika.v28i1.2909Keywords:
Shaykh Abdullah Fahim, Science, Traditional, Islah, WasatiyyahAbstract
The fact of truth or principle that forms knowledge is often seen from three aspects; ontology, epistemology and axiology. In the context of education, ontology is the basis of knowledge that serves to know the nature of divinity, epistemology is the basis of knowledge that serves to explain where science comes from, and axiology is the basis of knowledge that sees the benefits of science. This study seeks to examine the concept of science according to the perspective of Shaykh Abdullah Fahim as a respected educator of his time. In addition, analysis of the link between the basic thoughts on the knowledge and attitude of the Malays towards science will be emphasized. Included in the analysis of the study, are the changes made by Shaykh Abdullah Fahim in developing knowledge. For the purpose of collecting and analyzing data, this study uses an archival approach and fully qualitative methods. The documents examined include the writings of Shaykh Abdullah Fahim which are considered as primary sources and writings about Shaykh Abdullah Fahim are considered as secondary sources. The results of the study found that the concept of knowledge that he conceived is not tied to the traditional stream that pays too much attention to naqli (revealed) knowledge but at the same time not as hard as the islah (reform) stream which places aqli (non-revealed) knowledge as the main basis for development and progress of society.
Downloads
Published
How to Cite
Issue
Section
License
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with DIDAKTIKA: Jurnal Pemikiran Pendidikan agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.
