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Data · dataset · 2001

A Study on the Ideal Characters and Selection Methods of Mentors in Taiwan\'s Mentoring System

Listed in Harvard Dataverse

This research is particularly intended to investigate and compare the ideal characters and selection methods of Mentors in some countries such as USA, UK, German, France and Japan.

Description

The results and findings will be used to make some valuable and useful suggestions for the innovation of the new teacher training/education system in Taiwan. First, the research framework of this project is to employ George Z.F. Bereday\'s comparative methodology.

This research, at the \'description\' and \'interpretation\' stages, by means of historical research, document survey and content analysis methods, had collected and analyzed the relative literature of the ideal characters and selection methods of Mentors in different countries. Secondly, at the \'juxtaposition\' stage, the different educational resources were contrasted to each other in order to formulate the basis for simultaneous analysis at the\'comparison\'stage, aiming to construct the draft program for empirical study.

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Thirdly, the expert seminars were employed to understand the ideas and opinions of Mentors and student teachers; and to rectify the contents of the draft questionnaires. Subsequently, this research applied the self-constructed questionnaires as research instruments to investigate the ideal characters and selection methods of Mentors. Finally, according to the findings and results, this research concluded some suggestions for the establishment and improvement of Taiwan\'s new mentoring system of the initial teacher training.

Links

Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E87116-111 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0