Abstract
The aim of the present study is to review mentoring competence through the course of a three-day intensive workshop, six consecutive meetings were conducted. With regard to the previous researches (Kato, Higashida, & Kaneda et al. 2018; Kato 2019), the author analyzed the same discussions at the final meeting at the same college of technology. She conducted the quantitative content analysis using Tiny Text-Mining tool (TTM), and found co-occurrence relation among the words based on a cluster analysis to elucidate the major different images of good mentorship between novice and experienced mentors. To elucidate different images of good mentorship between novice and experienced mentors, cluster analysis can be roughly classified into five clusters (mentoring process, reflection, comparison with others, mentor merits, value of TP) typically associated with the mentor–mentee relationship during the workshop. The statistical analysis revealed the following three points: (1) novice mentors confessed more their worries and difficulties about their mentoring and the value of creating teaching portfolios; (2) the experienced mentors explicitly reflected on and explained their difficulties and satisfaction in comparison with other mentors and mentees; and (3) both novice and experienced identified the merits for working as mentors.
