| 英文摘要 |
In addition to enhancing students’understanding of the symptoms, diagnoses, causes, and treatments of various mental disorders, can studying abnormal psychology also inspire greater social engagement and a desire to bring about change? This study explored this topic by incorporating deep learning into an abnormal psychology course. In this course, students collaborated in groups to engage in digital media production. The course integrated theoretical knowledge and digital technology to foster deep learning competencies in students and reduce the stigma around mental disorders, thereby promoting social care and positioning deep learning as a driver of change. The course was conducted over an 18-week semester, and 72 students were enrolled. This study used the Deep Learning Competencies Progress, Mental Disorders Stigma Scale, Attitudes Toward Seeking Psychological Help Scale, and Self-Stigma for Seeking Psychological Help Scale, in addition to learning portfolios, to evaluate learning outcomes. The results are summarized as follows: (1) The students collaborated in groups to produce 13 podcasts and 6 short videos regarding mental disorders, which were uploaded to YouTube on the channel“It’s OK not to be OK.”The students reported feeling a sense of accomplishment from disseminating their professional psychological knowledge and showcasing their creativity; (2) The teaching enhanced the students’deep learning competencies. Although the results for the 2 indicators of a sense of citizenship did not significantly improve, the 10 indicators related to character, collaboration, communication, creativity, and critical thinking exhibited noticeable progress; (3) The course reduced the students’stigma surrounding mental disorders and improved their self-efficacy in seeking professional psychological help, although no changes in self-stigma or intentions to seek help were observed. This paper also presents the researchers’reflections on and suggestions regarding deep learning practices in abnormal psychology education. |