Faculty of Dentistry, JBM288, University of British Columbia, Vancouver, BC, Canada V6T1Z3;
J Dent Educ. 2014 Apr;78(4):580-8.
This study sought to determine whether using the Myers-Briggs Type Indicator (MBTI) would detect differences in personality preferences in first-year dental students admitted to the same dental school through different admission methods. First-year dental students admitted in 2000 and 2001 were given the MBTI instrument during orientation prior to the start of classes. In fall 2000, the Class of 2004 had 140 students, with 116 in the traditional track and twenty-four in the parallel problem-based learning (PBL) track. In fall 2001, the Class of 2005 had 144 students, all enrolled in the PBL curriculum. All students admitted to the PBL track had experienced a process that included evaluation of their participation in a small group. Students in the traditional track had individual interviews with faculty members. Both student groups were required to meet the same baseline grade point average and Dental Admission Test standards. In 2000, the PBL students showed personality preferences that were distinctly different from the personality preferences of traditional track students in the categories of Extroversion (89 percent PBL, 44 percent traditional) and Thinking (72 percent PBL, 39 percent traditional). In 2001, the all-PBL class retained the trend towards Extroversion (69 percent). This study suggests that admission method may effectively change the personality preference distribution exhibited by the students who are admitted to dental school.
本研究旨在确定 Myers-Briggs 类型指标 (MBTI) 是否可以检测到通过不同入学方式进入同一所牙科学院的一年级牙科学生的人格偏好差异。2000 年和 2001 年入学的一年级牙科学生在开学前的迎新活动期间接受了 MBTI 测试。2000 年秋季,2004 届有 140 名学生,其中 116 名在传统轨道,24 名在平行的基于问题的学习 (PBL) 轨道。2001 年秋季,2005 届有 144 名学生,全部入读 PBL 课程。所有进入 PBL 轨道的学生都经历了一个包括评估他们在小组活动中的参与度的过程。传统轨道的学生与教职员工进行了个人面试。两个学生群体都必须达到相同的平均绩点和牙科入学考试标准。2000 年,PBL 学生在外向性(89%的 PBL,44%的传统)和思维(72%的 PBL,39%的传统)这两个类别中表现出与传统轨道学生明显不同的人格偏好。2001 年,所有 PBL 班级仍然保持外向性的趋势(69%)。本研究表明,入学方式可能会有效地改变被牙科学院录取的学生的人格偏好分布。