Assessing how students value learning communication skills in an undergraduate anatomy and physiology course.

Anatomical sciences education(2022)

引用 5|浏览5
暂无评分
摘要
Students, particularly those in science, technology, engineering and mathematics (STEM) and healthcare-related programs, should develop proficient interpersonal skills, including communication. To help students develop effective communication skills, instructors need to consider the value students give to learning these skills. The Student Attitudes Toward Communication Skills Survey (SATCSS) was developed to measure how undergraduate students value learning communication skills based on Expectancy-Value Theory across three modes of communication (verbal, written, non-verbal). The survey was given to students interested in healthcare professions and enrolled in an undergraduate anatomy and physiology (A&P) course (n = 233) at a Midwest research active university. The survey showed evidence of validity, measuring two components: (1) "Value to Profession" (attainment and utility value) and (2) "Value to Self" (intrinsic value and cost). There was a significant difference in sub-scores among the four task values such that students thought that learning communication skills was important and relevant (high attainment and utility value) but not interesting (low intrinsic value) and costly. Students with high total scores valued communication skills across all four task values. As total value scores decreased, it was first due to students finding learning communication skills to be time prohibitive and then a lack of interest in learning communication skills. Based on these results, it is recommended that instructors incorporate communication skills training into content that is already part of their A&P course to reduce time concerns. Additional recommendations include using reflective activities and humor to increase student interest.
更多
查看译文
关键词
anatomy and physiology education,communication skills,expectancy-value theory,non-technical skills,task value,undergraduate education
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要